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<h1>Train a <a href="index.html">ResNet</a> on CIFAR 10</h1>
<p><a href="https://app.labml.ai/run/fc5ad600e4af11ebbafd23b8665193c1"><img alt="View Run" src="https://img.shields.io/badge/labml-experiment-brightgreen" /></a></p>
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<div class="highlight"><pre><span class="lineno">12</span><span></span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Optional</span>
<span class="lineno">13</span>
<span class="lineno">14</span><span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">nn</span>
<span class="lineno">15</span>
<span class="lineno">16</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">experiment</span>
<span class="lineno">17</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">option</span>
<span class="lineno">18</span><span class="kn">from</span> <span class="nn">labml_nn.experiments.cifar10</span> <span class="kn">import</span> <span class="n">CIFAR10Configs</span>
<span class="lineno">19</span><span class="kn">from</span> <span class="nn">labml_nn.resnet</span> <span class="kn">import</span> <span class="n">ResNetBase</span></pre></div>
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<h2>Configurations</h2>
<p>We use <a href="../experiments/cifar10.html"><code>CIFAR10Configs</code></a> which defines all the
dataset related configurations, optimizer, and a training loop.</p>
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<div class='code'>
<div class="highlight"><pre><span class="lineno">22</span><span class="k">class</span> <span class="nc">Configs</span><span class="p">(</span><span class="n">CIFAR10Configs</span><span class="p">):</span></pre></div>
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<a href='#section-2'>#</a>
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<p>Number fo blocks for each feature map size</p>
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<div class='code'>
<div class="highlight"><pre><span class="lineno">31</span> <span class="n">n_blocks</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">]</span></pre></div>
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<a href='#section-3'>#</a>
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<p>Number of channels for each feature map size</p>
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<div class='code'>
<div class="highlight"><pre><span class="lineno">33</span> <span class="n">n_channels</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="mi">16</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">64</span><span class="p">]</span></pre></div>
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<div class='section' id='section-4'>
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<div class='section-link'>
<a href='#section-4'>#</a>
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<p>Bottleneck sizes</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">35</span> <span class="n">bottlenecks</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span></pre></div>
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<div class='section-link'>
<a href='#section-5'>#</a>
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<p>Kernel size of the initial convolution layer</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">37</span> <span class="n">first_kernel_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">3</span></pre></div>
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<a href='#section-6'>#</a>
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<h3>Create model</h3>
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<div class='code'>
<div class="highlight"><pre><span class="lineno">40</span><span class="nd">@option</span><span class="p">(</span><span class="n">Configs</span><span class="o">.</span><span class="n">model</span><span class="p">)</span>
<span class="lineno">41</span><span class="k">def</span> <span class="nf">_resnet</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">Configs</span><span class="p">):</span></pre></div>
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<div class='section' id='section-7'>
<div class='docs'>
<div class='section-link'>
<a href='#section-7'>#</a>
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<p><a href="index.html">ResNet</a></p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">46</span> <span class="n">base</span> <span class="o">=</span> <span class="n">ResNetBase</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">n_blocks</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">n_channels</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">bottlenecks</span><span class="p">,</span> <span class="n">img_channels</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">first_kernel_size</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">first_kernel_size</span><span class="p">)</span></pre></div>
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<div class='section-link'>
<a href='#section-8'>#</a>
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<p>Linear layer for classification</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">48</span> <span class="n">classification</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">n_channels</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="mi">10</span><span class="p">)</span></pre></div>
</div>
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<a href='#section-9'>#</a>
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<p>Stack them</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">51</span> <span class="n">model</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="n">base</span><span class="p">,</span> <span class="n">classification</span><span class="p">)</span></pre></div>
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<div class='section-link'>
<a href='#section-10'>#</a>
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<p>Move the model to the device</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">53</span> <span class="k">return</span> <span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
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<div class='docs'>
<div class='section-link'>
<a href='#section-11'>#</a>
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<div class='code'>
<div class="highlight"><pre><span class="lineno">56</span><span class="k">def</span> <span class="nf">main</span><span class="p">():</span></pre></div>
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</div>
<div class='section' id='section-12'>
<div class='docs'>
<div class='section-link'>
<a href='#section-12'>#</a>
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<p>Create experiment</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">58</span> <span class="n">experiment</span><span class="o">.</span><span class="n">create</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">&#39;resnet&#39;</span><span class="p">,</span> <span class="n">comment</span><span class="o">=</span><span class="s1">&#39;cifar10&#39;</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-13'>
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<div class='section-link'>
<a href='#section-13'>#</a>
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<p>Create configurations</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">60</span> <span class="n">conf</span> <span class="o">=</span> <span class="n">Configs</span><span class="p">()</span></pre></div>
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<a href='#section-14'>#</a>
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<p>Load configurations</p>
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<div class='code'>
<div class="highlight"><pre><span class="lineno">62</span> <span class="n">experiment</span><span class="o">.</span><span class="n">configs</span><span class="p">(</span><span class="n">conf</span><span class="p">,</span> <span class="p">{</span>
<span class="lineno">63</span> <span class="s1">&#39;bottlenecks&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">8</span><span class="p">,</span> <span class="mi">16</span><span class="p">,</span> <span class="mi">16</span><span class="p">],</span>
<span class="lineno">64</span> <span class="s1">&#39;n_blocks&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">6</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">6</span><span class="p">],</span>
<span class="lineno">65</span>
<span class="lineno">66</span> <span class="s1">&#39;optimizer.optimizer&#39;</span><span class="p">:</span> <span class="s1">&#39;Adam&#39;</span><span class="p">,</span>
<span class="lineno">67</span> <span class="s1">&#39;optimizer.learning_rate&#39;</span><span class="p">:</span> <span class="mf">2.5e-4</span><span class="p">,</span>
<span class="lineno">68</span>
<span class="lineno">69</span> <span class="s1">&#39;epochs&#39;</span><span class="p">:</span> <span class="mi">500</span><span class="p">,</span>
<span class="lineno">70</span> <span class="s1">&#39;train_batch_size&#39;</span><span class="p">:</span> <span class="mi">256</span><span class="p">,</span>
<span class="lineno">71</span>
<span class="lineno">72</span> <span class="s1">&#39;train_dataset&#39;</span><span class="p">:</span> <span class="s1">&#39;cifar10_train_augmented&#39;</span><span class="p">,</span>
<span class="lineno">73</span> <span class="s1">&#39;valid_dataset&#39;</span><span class="p">:</span> <span class="s1">&#39;cifar10_valid_no_augment&#39;</span><span class="p">,</span>
<span class="lineno">74</span> <span class="p">})</span></pre></div>
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<div class='section' id='section-15'>
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<div class='section-link'>
<a href='#section-15'>#</a>
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<p>Set model for saving/loading</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">76</span> <span class="n">experiment</span><span class="o">.</span><span class="n">add_pytorch_models</span><span class="p">({</span><span class="s1">&#39;model&#39;</span><span class="p">:</span> <span class="n">conf</span><span class="o">.</span><span class="n">model</span><span class="p">})</span></pre></div>
</div>
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<div class='section' id='section-16'>
<div class='docs'>
<div class='section-link'>
<a href='#section-16'>#</a>
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<p>Start the experiment and run the training loop</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">78</span> <span class="k">with</span> <span class="n">experiment</span><span class="o">.</span><span class="n">start</span><span class="p">():</span>
<span class="lineno">79</span> <span class="n">conf</span><span class="o">.</span><span class="n">run</span><span class="p">()</span></pre></div>
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<div class='section' id='section-17'>
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<div class='section-link'>
<a href='#section-17'>#</a>
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<div class='code'>
<div class="highlight"><pre><span class="lineno">83</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">&#39;__main__&#39;</span><span class="p">:</span>
<span class="lineno">84</span> <span class="n">main</span><span class="p">()</span></pre></div>
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