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seanmor5 committed Jul 24, 2024
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4 changes: 2 additions & 2 deletions .build
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Expand Up @@ -72,8 +72,8 @@ dist/merriweather-latin-ext-300-normal-K6L27CZ5.woff2
dist/merriweather-vietnamese-300-italic-EHHNZPUO.woff2
dist/merriweather-vietnamese-300-normal-U376L4Z4.woff2
dist/remixicon-NKANDIL5.woff2
dist/search_data-5BFAF707.js
dist/sidebar_items-BF16C024.js
dist/search_data-DE8A890C.js
dist/sidebar_items-18097948.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-BF16C024.js"></script>
<script src="dist/sidebar_items-18097948.js"></script>

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

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642 changes: 321 additions & 321 deletions Axon.Activations.html

Large diffs are not rendered by default.

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-BF16C024.js"></script>
<script src="dist/sidebar_items-18097948.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-BF16C024.js"></script>
<script src="dist/sidebar_items-18097948.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="2458661849-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="2458661849-1">)</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="2458661849-2">(</span><span class="mi">32</span><span class="p" data-group-id="2458661849-2">)</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="0788047771-1">(</span><span class="p" data-group-id="0788047771-2">{</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="0788047771-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="0788047771-1">)</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="0730184760-1">(</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="0730184760-1">)</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="4790404663-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="4790404663-1">)</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="4790404663-2">(</span><span class="mi">32</span><span class="p" data-group-id="4790404663-2">)</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="2200734343-1">(</span><span class="p" data-group-id="2200734343-2">{</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="2200734343-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="2200734343-1">)</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="7710677578-1">(</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="7710677578-1">)</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="6188477763-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="6188477763-1">)</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="6188477763-2">(</span><span class="mi">32</span><span class="p" data-group-id="6188477763-2">)</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="3209478709-1">(</span><span class="p" data-group-id="3209478709-2">{</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="3209478709-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="3209478709-1">)</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="7142490995-1">(</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="7142490995-1">)</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="7882083946-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="7882083946-1">)</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="7882083946-2">(</span><span class="mi">32</span><span class="p" data-group-id="7882083946-2">)</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="2106703262-1">(</span><span class="p" data-group-id="2106703262-2">{</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="2106703262-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="2106703262-1">)</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="7783391113-1">(</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="7783391113-1">)</span></code></pre>
</section>
</section>

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