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<a href='#section-0'>#</a>
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</div>
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<p>Custom classes</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">4</span><span></span><span class="kn">from</span> <span class="nn">models.mlp</span> <span class="kn">import</span> <span class="n">MLP</span>
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<span class="lineno">5</span><span class="kn">from</span> <span class="nn">utils.train</span> <span class="kn">import</span> <span class="n">Trainer</span>
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<span class="lineno">6</span><span class="kn">from</span> <span class="nn">models.resnet</span> <span class="kn">import</span> <span class="o">*</span></pre></div>
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<div class='section' id='section-1'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-1'>#</a>
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</div>
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<p>GPU Check</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">9</span><span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">"cuda:0"</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="k">else</span> <span class="s2">"cpu"</span><span class="p">)</span>
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<span class="lineno">10</span><span class="nb">print</span><span class="p">(</span><span class="s2">"Device: "</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">device</span><span class="p">))</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-2'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-2'>#</a>
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</div>
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<p>Use different train/test data augmentations</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">13</span><span class="n">transform_test</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">(</span>
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<span class="lineno">14</span> <span class="p">[</span><span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
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<span class="lineno">15</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">((</span><span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">),</span> <span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">))])</span>
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<span class="lineno">16</span>
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<span class="lineno">17</span><span class="n">transform_train</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span>
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<span class="lineno">18</span> <span class="n">transforms</span><span class="o">.</span><span class="n">RandomHorizontalFlip</span><span class="p">(</span><span class="n">p</span><span class="o">=</span><span class="mf">1.0</span><span class="p">),</span>
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<span class="lineno">19</span> <span class="n">transforms</span><span class="o">.</span><span class="n">RandomRotation</span><span class="p">(</span><span class="mi">20</span><span class="p">),</span>
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<span class="lineno">20</span> <span class="n">transforms</span><span class="o">.</span><span class="n">RandomCrop</span><span class="p">(</span><span class="mi">32</span><span class="p">,</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span> <span class="n">pad_if_needed</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">padding_mode</span><span class="o">=</span><span class="s1">'constant'</span><span class="p">),</span>
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<span class="lineno">21</span> <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
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<span class="lineno">22</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">((</span><span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">),</span> <span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">))])</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-3'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-3'>#</a>
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</div>
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<p>Get Cifar 10 Datasets</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">26</span><span class="n">save</span><span class="o">=</span><span class="s1">'./data/Cifar10'</span>
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<span class="lineno">27</span><span class="n">trainset</span> <span class="o">=</span> <span class="n">torchvision</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">CIFAR10</span><span class="p">(</span><span class="n">root</span><span class="o">=</span><span class="n">save</span><span class="p">,</span> <span class="n">train</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">download</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">transform_train</span><span class="p">)</span>
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<span class="lineno">28</span><span class="n">testset</span> <span class="o">=</span> <span class="n">torchvision</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">CIFAR10</span><span class="p">(</span><span class="n">root</span><span class="o">=</span><span class="n">save</span><span class="p">,</span> <span class="n">train</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">download</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">transform_test</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-4'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-4'>#</a>
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</div>
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<p>Get Cifar 10 Dataloaders</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">31</span><span class="n">trainloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">trainset</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span>
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<span class="lineno">32</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">num_workers</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
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<span class="lineno">33</span>
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<span class="lineno">34</span><span class="n">testloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">testset</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span>
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<span class="lineno">35</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">num_workers</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
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<span class="lineno">36</span>
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<span class="lineno">37</span><span class="n">epochs</span> <span class="o">=</span> <span class="mi">50</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-5'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-5'>#</a>
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</div>
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<h6></h6>
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<p>Create the assignment Resnet (part a)</p>
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<h6></h6>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">42</span><span class="k">def</span> <span class="nf">MyResNet</span><span class="p">():</span>
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<span class="lineno">43</span> <span class="n">resnet</span> <span class="o">=</span> <span class="n">ResNet</span><span class="p">(</span><span class="n">in_features</span><span class="o">=</span> <span class="p">[</span><span class="mi">32</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span>
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<span class="lineno">44</span> <span class="n">num_class</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span>
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<span class="lineno">45</span> <span class="n">feature_channel_list</span> <span class="o">=</span> <span class="p">[</span><span class="mi">128</span><span class="p">,</span> <span class="mi">256</span><span class="p">,</span> <span class="mi">512</span><span class="p">],</span>
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<span class="lineno">46</span> <span class="n">batch_norm</span><span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
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<span class="lineno">47</span> <span class="n">num_stacks</span><span class="o">=</span><span class="mi">1</span>
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<span class="lineno">48</span> <span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-6'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-6'>#</a>
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</div>
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<p>Create MLP
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Calculate the input shape</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">52</span> <span class="n">s</span> <span class="o">=</span> <span class="n">resnet</span><span class="o">.</span><span class="n">GetCurShape</span><span class="p">()</span>
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<span class="lineno">53</span> <span class="n">in_features</span> <span class="o">=</span> <span class="n">s</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">*</span><span class="n">s</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">*</span><span class="n">s</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span>
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<span class="lineno">54</span>
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<span class="lineno">55</span> <span class="n">mlp</span> <span class="o">=</span> <span class="n">MLP</span><span class="p">(</span><span class="n">in_features</span><span class="p">,</span>
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<span class="lineno">56</span> <span class="mi">10</span><span class="p">,</span>
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<span class="lineno">57</span> <span class="p">[],</span> <span class="c1">#512, 1024, 512</span>
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<span class="lineno">58</span> <span class="p">[],</span>
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<span class="lineno">59</span> <span class="n">use_batch_norm</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
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<span class="lineno">60</span> <span class="n">use_dropout</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
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<span class="lineno">61</span> <span class="n">use_softmax</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
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<span class="lineno">62</span> <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">)</span>
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<span class="lineno">63</span>
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<span class="lineno">64</span> <span class="n">resnet</span><span class="o">.</span><span class="n">AddMLP</span><span class="p">(</span><span class="n">mlp</span><span class="p">)</span>
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<span class="lineno">65</span> <span class="k">return</span> <span class="n">resnet</span>
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<span class="lineno">66</span>
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<span class="lineno">67</span><span class="n">model</span> <span class="o">=</span> <span class="n">MyResNet</span><span class="p">()</span>
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<span class="lineno">68</span><span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">)</span>
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<span class="lineno">69</span><span class="n">summary</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span><span class="mi">32</span><span class="p">))</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-7'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-7'>#</a>
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</div>
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<p>Optimizer</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">72</span><span class="n">opt</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span><span class="o">=</span><span class="mf">0.0005</span><span class="p">,</span> <span class="n">betas</span><span class="o">=</span><span class="p">(</span><span class="mf">0.9</span><span class="p">,</span> <span class="mf">0.95</span><span class="p">),</span> <span class="n">weight_decay</span><span class="o">=</span><span class="mf">1e-8</span><span class="p">)</span> <span class="c1">#0.0005 l2_factor.item()</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-8'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-8'>#</a>
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</div>
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<p>Loss function</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">75</span><span class="n">cost</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">CrossEntropyLoss</span><span class="p">()</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-9'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-9'>#</a>
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</div>
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<p>Create a trainer</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">78</span><span class="n">trainer</span> <span class="o">=</span> <span class="n">Trainer</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">opt</span><span class="p">,</span> <span class="n">cost</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s2">"MyResNet"</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">,</span> <span class="n">use_lr_schedule</span> <span class="o">=</span><span class="kc">True</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-10'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-10'>#</a>
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</div>
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<p>Run training</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">81</span><span class="n">trainer</span><span class="o">.</span><span class="n">Train</span><span class="p">(</span><span class="n">trainloader</span><span class="p">,</span> <span class="n">epochs</span><span class="p">,</span> <span class="n">testloader</span><span class="o">=</span><span class="n">testloader</span><span class="p">)</span>
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<span class="lineno">82</span>
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<span class="lineno">83</span><span class="nb">print</span><span class="p">(</span><span class="s1">'done'</span><span class="p">)</span></pre></div>
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