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elixir-nx · May 30, 2024 · 416ebca · 416ebca
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diff --git a/.build b/.build
@@ -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-037B04DF.js
-dist/sidebar_items-D4AB84D3.js
+dist/search_data-315CC54B.js
+dist/sidebar_items-BF16C024.js
 fashionmnist_autoencoder.html
 fashionmnist_vae.html
 guides.html

diff --git a/404.html b/404.html
@@ -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-D4AB84D3.js"></script>
+    <script src="dist/sidebar_items-BF16C024.js"></script>
 
       <script src="docs_config.js"></script>
 

diff --git a/Axon.Activations.html b/Axon.Activations.html
diff --git a/Axon.CompileError.html b/Axon.CompileError.html
@@ -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-D4AB84D3.js"></script>
+    <script src="dist/sidebar_items-BF16C024.js"></script>
 
       <script src="docs_config.js"></script>
 

diff --git a/Axon.Display.html b/Axon.Display.html
@@ -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-D4AB84D3.js"></script>
+    <script src="dist/sidebar_items-BF16C024.js"></script>
 
       <script src="docs_config.js"></script>
 
@@ -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="7378619000-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="7378619000-1">)</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="7378619000-2">(</span><span class="mi">32</span><span class="p" data-group-id="7378619000-2">)</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="1700335216-1">(</span><span class="p" data-group-id="1700335216-2">{</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="1700335216-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="1700335216-1">)</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="1612156771-1">(</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="1612156771-1">)</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="2152466318-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="2152466318-1">)</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="2152466318-2">(</span><span class="mi">32</span><span class="p" data-group-id="2152466318-2">)</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="3049510861-1">(</span><span class="p" data-group-id="3049510861-2">{</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="3049510861-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="3049510861-1">)</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="2292809678-1">(</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="2292809678-1">)</span></code></pre>
   </section>
 </section>
 <section class="detail" id="as_table/2">
@@ -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="6367679123-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="6367679123-1">)</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="6367679123-2">(</span><span class="mi">32</span><span class="p" data-group-id="6367679123-2">)</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="5492640052-1">(</span><span class="p" data-group-id="5492640052-2">{</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="5492640052-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="5492640052-1">)</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="7527616853-1">(</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="7527616853-1">)</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="0181242279-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="0181242279-1">)</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="0181242279-2">(</span><span class="mi">32</span><span class="p" data-group-id="0181242279-2">)</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="9589550630-1">(</span><span class="p" data-group-id="9589550630-2">{</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="9589550630-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="9589550630-1">)</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="2767259623-1">(</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="2767259623-1">)</span></code></pre>
   </section>
 </section>