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elixir-nx · Jul 24, 2024 · 20fb303 · 20fb303
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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-DE8A890C.js
-dist/sidebar_items-18097948.js
+dist/search_data-09E43F67.js
+dist/sidebar_items-35602AB1.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-18097948.js"></script>
+    <script src="dist/sidebar_items-35602AB1.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-18097948.js"></script>
+    <script src="dist/sidebar_items-35602AB1.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-18097948.js"></script>
+    <script src="dist/sidebar_items-35602AB1.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="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>
+<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="1999288871-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="1999288871-1">)</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="1999288871-2">(</span><span class="mi">32</span><span class="p" data-group-id="1999288871-2">)</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="1924197580-1">(</span><span class="p" data-group-id="1924197580-2">{</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="1924197580-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="1924197580-1">)</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="7144058167-1">(</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="7144058167-1">)</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="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>
+<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="7221377318-1">(</span><span class="s">&quot;input&quot;</span><span class="p" data-group-id="7221377318-1">)</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="7221377318-2">(</span><span class="mi">32</span><span class="p" data-group-id="7221377318-2">)</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="8203293220-1">(</span><span class="p" data-group-id="8203293220-2">{</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="8203293220-2">}</span><span class="p">,</span><span class="w"> </span><span class="ss">:f32</span><span class="p" data-group-id="8203293220-1">)</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="9949440790-1">(</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="9949440790-1">)</span></code></pre>
   </section>
 </section>