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@seanmor5
seanmor5 committed May 10, 2024
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5 changes: 3 additions & 2 deletions .build
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Expand Up @@ -34,6 +34,7 @@ Axon.LossScale.html
Axon.Losses.html
Axon.Metrics.html
Axon.MixedPrecision.html
Axon.ModelState.html
Axon.None.html
Axon.StatefulOutput.html
Axon.html
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dist/merriweather-vietnamese-300-italic-EHHNZPUO.woff2
dist/merriweather-vietnamese-300-normal-U376L4Z4.woff2
dist/remixicon-NKANDIL5.woff2
dist/search_data-7F2B0842.js
dist/sidebar_items-B66D7C0E.js
dist/search_data-BDD49AAD.js
dist/sidebar_items-D4AB84D3.js
fashionmnist_autoencoder.html
fashionmnist_vae.html
guides.html
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2 changes: 1 addition & 1 deletion 404.html
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Expand Up @@ -16,7 +16,7 @@

<script src="dist/handlebars.runtime-NWIB6V2M.js"></script>
<script src="dist/handlebars.templates-43PMFBC7.js"></script>
<script src="dist/sidebar_items-B66D7C0E.js"></script>
<script src="dist/sidebar_items-D4AB84D3.js"></script>

<script src="docs_config.js"></script>

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642 changes: 321 additions & 321 deletions Axon.Activations.html
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2 changes: 1 addition & 1 deletion Axon.CompileError.html
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<script src="dist/handlebars.runtime-NWIB6V2M.js"></script>
<script src="dist/handlebars.templates-43PMFBC7.js"></script>
<script src="dist/sidebar_items-B66D7C0E.js"></script>
<script src="dist/sidebar_items-D4AB84D3.js"></script>

<script src="docs_config.js"></script>

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6 changes: 3 additions & 3 deletions Axon.Display.html
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Expand Up @@ -14,7 +14,7 @@

<script src="dist/handlebars.runtime-NWIB6V2M.js"></script>
<script src="dist/handlebars.templates-43PMFBC7.js"></script>
<script src="dist/sidebar_items-B66D7C0E.js"></script>
<script src="dist/sidebar_items-D4AB84D3.js"></script>

<script src="docs_config.js"></script>

Expand Down 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="8506665914-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="8506665914-1">)</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="8506665914-2">(</span><span class="mi">32</span><span class="p" data-group-id="8506665914-2">)</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="5283265791-1">(</span><span class="p" data-group-id="5283265791-2">{</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="5283265791-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="5283265791-1">)</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="0364734384-1">(</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="0364734384-1">)</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="0854883449-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="0854883449-1">)</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="0854883449-2">(</span><span class="mi">32</span><span class="p" data-group-id="0854883449-2">)</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="1017145506-1">(</span><span class="p" data-group-id="1017145506-2">{</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="1017145506-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="1017145506-1">)</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="5230457773-1">(</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="5230457773-1">)</span></code></pre>
</section>
</section>
<section class="detail" id="as_table/2">
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</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="0316935806-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="0316935806-1">)</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="0316935806-2">(</span><span class="mi">32</span><span class="p" data-group-id="0316935806-2">)</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="0537520336-1">(</span><span class="p" data-group-id="0537520336-2">{</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="0537520336-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="0537520336-1">)</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="0851892068-1">(</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="0851892068-1">)</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="7816453294-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="7816453294-1">)</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="7816453294-2">(</span><span class="mi">32</span><span class="p" data-group-id="7816453294-2">)</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="3701115532-1">(</span><span class="p" data-group-id="3701115532-2">{</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="3701115532-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="3701115532-1">)</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="8135506593-1">(</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="8135506593-1">)</span></code></pre>
</section>
</section>

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