Files
Varuna Jayasiri f28b2f4a35 📚 instance norm
2021-04-23 15:20:21 +05:30

570 lines
52 KiB
HTML

<!DOCTYPE html>
<html>
<head>
<meta http-equiv="content-type" content="text/html;charset=utf-8"/>
<meta name="viewport" content="width=device-width, initial-scale=1.0"/>
<meta name="description" content=""/>
<meta name="twitter:card" content="summary"/>
<meta name="twitter:image:src" content="https://avatars1.githubusercontent.com/u/64068543?s=400&amp;v=4"/>
<meta name="twitter:title" content="train.py"/>
<meta name="twitter:description" content=""/>
<meta name="twitter:site" content="@labmlai"/>
<meta name="twitter:creator" content="@labmlai"/>
<meta property="og:url" content="https://nn.labml.ai/cnn/utils/train.html"/>
<meta property="og:title" content="train.py"/>
<meta property="og:image" content="https://avatars1.githubusercontent.com/u/64068543?s=400&amp;v=4"/>
<meta property="og:site_name" content="LabML Neural Networks"/>
<meta property="og:type" content="object"/>
<meta property="og:title" content="train.py"/>
<meta property="og:description" content=""/>
<title>train.py</title>
<link rel="shortcut icon" href="/icon.png"/>
<link rel="stylesheet" href="../../pylit.css">
<link rel="canonical" href="https://nn.labml.ai/cnn/utils/train.html"/>
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-4V3HC8HBLH"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag() {
dataLayer.push(arguments);
}
gtag('js', new Date());
gtag('config', 'G-4V3HC8HBLH');
</script>
</head>
<body>
<div id='container'>
<div id="background"></div>
<div class='section'>
<div class='docs'>
<p>
<a class="parent" href="/">home</a>
<a class="parent" href="../index.html">cnn</a>
<a class="parent" href="index.html">utils</a>
</p>
<p>
<a href="https://github.com/lab-ml/labml_nn/tree/master/labml_nn/cnn/utils/train.py">
<img alt="Github"
src="https://img.shields.io/github/stars/lab-ml/nn?style=social"
style="max-width:100%;"/></a>
<a href="https://join.slack.com/t/labforml/shared_invite/zt-egj9zvq9-Dl3hhZqobexgT7aVKnD14g/"
rel="nofollow">
<img alt="Join Slact"
src="https://img.shields.io/badge/slack-chat-green.svg?logo=slack"
style="max-width:100%;"/></a>
<a href="https://twitter.com/labmlai"
rel="nofollow">
<img alt="Twitter"
src="https://img.shields.io/twitter/follow/labmlai?style=social"
style="max-width:100%;"/></a>
</p>
</div>
</div>
<div class='section' id='section-0'>
<div class='docs'>
<div class='section-link'>
<a href='#section-0'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">3</span><span></span><span class="kn">import</span> <span class="nn">torch.nn</span> <span class="k">as</span> <span class="nn">nn</span>
<span class="lineno">4</span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="lineno">5</span><span class="kn">import</span> <span class="nn">os</span>
<span class="lineno">6</span><span class="kn">from</span> <span class="nn">models.cnn</span> <span class="kn">import</span> <span class="n">GetCNN</span>
<span class="lineno">7</span><span class="kn">from</span> <span class="nn">ray</span> <span class="kn">import</span> <span class="n">tune</span>
<span class="lineno">8</span><span class="kn">from</span> <span class="nn">utils.dataloader</span> <span class="kn">import</span> <span class="o">*</span> <span class="c1"># Get the transforms</span></pre></div>
</div>
</div>
<div class='section' id='section-1'>
<div class='docs'>
<div class='section-link'>
<a href='#section-1'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">11</span><span class="k">class</span> <span class="nc">Trainer</span><span class="p">():</span></pre></div>
</div>
</div>
<div class='section' id='section-2'>
<div class='docs'>
<div class='section-link'>
<a href='#section-2'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">12</span> <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s2">&quot;default&quot;</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="lineno">13</span> <span class="bp">self</span><span class="o">.</span><span class="n">device</span> <span class="o">=</span> <span class="n">device</span>
<span class="lineno">14</span>
<span class="lineno">15</span> <span class="bp">self</span><span class="o">.</span><span class="n">epoch</span> <span class="o">=</span> <span class="mi">0</span>
<span class="lineno">16</span> <span class="bp">self</span><span class="o">.</span><span class="n">start_epoch</span> <span class="o">=</span> <span class="mi">0</span>
<span class="lineno">17</span> <span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="n">name</span></pre></div>
</div>
</div>
<div class='section' id='section-3'>
<div class='docs'>
<div class='section-link'>
<a href='#section-3'>#</a>
</div>
<p>Train function</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">20</span> <span class="k">def</span> <span class="nf">Train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">net</span><span class="p">,</span> <span class="n">trainloader</span><span class="p">,</span> <span class="n">testloader</span><span class="p">,</span> <span class="n">cost</span><span class="p">,</span> <span class="n">opt</span><span class="p">,</span> <span class="n">epochs</span> <span class="o">=</span> <span class="mi">25</span><span class="p">):</span>
<span class="lineno">21</span>
<span class="lineno">22</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span> <span class="o">=</span> <span class="n">net</span>
<span class="lineno">23</span> <span class="bp">self</span><span class="o">.</span><span class="n">trainloader</span> <span class="o">=</span> <span class="n">trainloader</span>
<span class="lineno">24</span> <span class="bp">self</span><span class="o">.</span><span class="n">testloader</span> <span class="o">=</span> <span class="n">testloader</span></pre></div>
</div>
</div>
<div class='section' id='section-4'>
<div class='docs'>
<div class='section-link'>
<a href='#section-4'>#</a>
</div>
<p>Optimizer and Cost function</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">27</span> <span class="bp">self</span><span class="o">.</span><span class="n">opt</span> <span class="o">=</span> <span class="n">opt</span>
<span class="lineno">28</span> <span class="bp">self</span><span class="o">.</span><span class="n">cost</span> <span class="o">=</span> <span class="n">cost</span></pre></div>
</div>
</div>
<div class='section' id='section-5'>
<div class='docs'>
<div class='section-link'>
<a href='#section-5'>#</a>
</div>
<p>Bookkeeping</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">31</span> <span class="n">train_loss</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">epochs</span><span class="p">)</span>
<span class="lineno">32</span> <span class="bp">self</span><span class="o">.</span><span class="n">epoch</span> <span class="o">=</span> <span class="mi">0</span>
<span class="lineno">33</span> <span class="n">train_steps</span> <span class="o">=</span> <span class="mi">0</span>
<span class="lineno">34</span> <span class="n">accuracy</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">epochs</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-6'>
<div class='docs'>
<div class='section-link'>
<a href='#section-6'>#</a>
</div>
<p>Training loop</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">37</span> <span class="k">for</span> <span class="n">epoch</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">start_epoch</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">start_epoch</span><span class="o">+</span><span class="n">epochs</span><span class="p">):</span>
<span class="lineno">38</span> <span class="bp">self</span><span class="o">.</span><span class="n">epoch</span> <span class="o">=</span> <span class="n">epoch</span><span class="o">+</span><span class="mi">1</span>
<span class="lineno">39</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="o">.</span><span class="n">train</span><span class="p">()</span> <span class="c1"># Enable Dropout</span></pre></div>
</div>
</div>
<div class='section' id='section-7'>
<div class='docs'>
<div class='section-link'>
<a href='#section-7'>#</a>
</div>
<p>Iterating over train data</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">42</span> <span class="k">for</span> <span class="n">data</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">trainloader</span><span class="p">:</span>
<span class="lineno">43</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">:</span>
<span class="lineno">44</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">),</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span>
<span class="lineno">45</span> <span class="k">else</span><span class="p">:</span>
<span class="lineno">46</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
<span class="lineno">47</span>
<span class="lineno">48</span> <span class="bp">self</span><span class="o">.</span><span class="n">opt</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-8'>
<div class='docs'>
<div class='section-link'>
<a href='#section-8'>#</a>
</div>
<p>Forward + backward + optimize</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">51</span> <span class="n">outputs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
<span class="lineno">52</span> <span class="n">epoch_loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">cost</span><span class="p">(</span><span class="n">outputs</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
<span class="lineno">53</span> <span class="n">epoch_loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
<span class="lineno">54</span> <span class="bp">self</span><span class="o">.</span><span class="n">opt</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>
<span class="lineno">55</span> <span class="n">train_steps</span><span class="o">+=</span><span class="mi">1</span>
<span class="lineno">56</span>
<span class="lineno">57</span> <span class="n">train_loss</span><span class="p">[</span><span class="n">epoch</span><span class="p">]</span> <span class="o">+=</span> <span class="n">epoch_loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
<span class="lineno">58</span> <span class="n">loss_train</span> <span class="o">=</span> <span class="n">train_loss</span><span class="p">[</span><span class="n">epoch</span><span class="p">]</span> <span class="o">/</span> <span class="n">train_steps</span>
<span class="lineno">59</span>
<span class="lineno">60</span> <span class="n">accuracy</span><span class="p">[</span><span class="n">epoch</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">Test</span><span class="p">()</span> <span class="c1">#correct / total</span>
<span class="lineno">61</span>
<span class="lineno">62</span> <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Epoch </span><span class="si">%d</span><span class="s2"> LR </span><span class="si">%.6f</span><span class="s2"> Train Loss: </span><span class="si">%.3f</span><span class="s2"> Test Accuracy: </span><span class="si">%.3f</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="p">(</span>
<span class="lineno">63</span> <span class="bp">self</span><span class="o">.</span><span class="n">epoch</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">opt</span><span class="o">.</span><span class="n">param_groups</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="s1">&#39;lr&#39;</span><span class="p">],</span> <span class="n">loss_train</span><span class="p">,</span> <span class="n">accuracy</span><span class="p">[</span><span class="n">epoch</span><span class="p">]))</span></pre></div>
</div>
</div>
<div class='section' id='section-9'>
<div class='docs'>
<div class='section-link'>
<a href='#section-9'>#</a>
</div>
<p>Save best model</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">66</span> <span class="k">if</span> <span class="n">accuracy</span><span class="p">[</span><span class="n">epoch</span><span class="p">]</span> <span class="o">&gt;=</span> <span class="n">torch</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">accuracy</span><span class="p">):</span>
<span class="lineno">67</span> <span class="bp">self</span><span class="o">.</span><span class="n">save_best_model</span><span class="p">({</span>
<span class="lineno">68</span> <span class="s1">&#39;epoch&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">epoch</span><span class="p">,</span>
<span class="lineno">69</span> <span class="s1">&#39;state_dict&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="o">.</span><span class="n">state_dict</span><span class="p">(),</span>
<span class="lineno">70</span> <span class="s1">&#39;optimizer&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">opt</span><span class="o">.</span><span class="n">state_dict</span><span class="p">(),</span>
<span class="lineno">71</span> <span class="p">})</span>
<span class="lineno">72</span>
<span class="lineno">73</span> <span class="bp">self</span><span class="o">.</span><span class="n">plot_accuracy</span><span class="p">(</span><span class="n">accuracy</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-10'>
<div class='docs'>
<div class='section-link'>
<a href='#section-10'>#</a>
</div>
<p>Test over testloader loop</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">76</span> <span class="k">def</span> <span class="nf">Test</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">net</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">save</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-11'>
<div class='docs'>
<div class='section-link'>
<a href='#section-11'>#</a>
</div>
<p>Initialize dataloader</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">78</span> <span class="k">if</span> <span class="n">save</span> <span class="o">==</span> <span class="kc">None</span><span class="p">:</span>
<span class="lineno">79</span> <span class="n">testloader</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">testloader</span>
<span class="lineno">80</span> <span class="k">else</span><span class="p">:</span>
<span class="lineno">81</span> <span class="n">testloader</span> <span class="o">=</span> <span class="n">Dataloader_test</span><span class="p">(</span><span class="n">save</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">128</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-12'>
<div class='docs'>
<div class='section-link'>
<a href='#section-12'>#</a>
</div>
<p>Initialize net</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">84</span> <span class="k">if</span> <span class="n">net</span> <span class="o">==</span> <span class="kc">None</span><span class="p">:</span>
<span class="lineno">85</span> <span class="n">net</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span></pre></div>
</div>
</div>
<div class='section' id='section-13'>
<div class='docs'>
<div class='section-link'>
<a href='#section-13'>#</a>
</div>
<p>Disable Dropout</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">88</span> <span class="n">net</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-14'>
<div class='docs'>
<div class='section-link'>
<a href='#section-14'>#</a>
</div>
<p>Bookkeeping</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">91</span> <span class="n">correct</span> <span class="o">=</span> <span class="mf">0.0</span>
<span class="lineno">92</span> <span class="n">total</span> <span class="o">=</span> <span class="mf">0.0</span></pre></div>
</div>
</div>
<div class='section' id='section-15'>
<div class='docs'>
<div class='section-link'>
<a href='#section-15'>#</a>
</div>
<p>Infer the model</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">95</span> <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
<span class="lineno">96</span> <span class="k">for</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">testloader</span><span class="p">:</span>
<span class="lineno">97</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">:</span>
<span class="lineno">98</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">),</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span>
<span class="lineno">99</span> <span class="k">else</span><span class="p">:</span>
<span class="lineno">100</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
<span class="lineno">101</span>
<span class="lineno">102</span> <span class="n">outputs</span> <span class="o">=</span> <span class="n">net</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
<span class="lineno">103</span> <span class="n">_</span><span class="p">,</span> <span class="n">predicted</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">outputs</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="lineno">104</span> <span class="n">total</span> <span class="o">+=</span> <span class="n">labels</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="lineno">105</span> <span class="n">correct</span> <span class="o">+=</span> <span class="p">(</span><span class="n">predicted</span> <span class="o">==</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">item</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-16'>
<div class='docs'>
<div class='section-link'>
<a href='#section-16'>#</a>
</div>
<p>compute the final accuracy</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">108</span> <span class="n">accuracy</span> <span class="o">=</span> <span class="n">correct</span> <span class="o">/</span> <span class="n">total</span>
<span class="lineno">109</span> <span class="k">return</span> <span class="n">accuracy</span></pre></div>
</div>
</div>
<div class='section' id='section-17'>
<div class='docs'>
<div class='section-link'>
<a href='#section-17'>#</a>
</div>
<p>Train function modified for ray schedulers</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">112</span> <span class="k">def</span> <span class="nf">Train_ray</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">config</span><span class="p">,</span> <span class="n">checkpoint_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">data_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="lineno">113</span> <span class="n">epochs</span> <span class="o">=</span> <span class="mi">25</span>
<span class="lineno">114</span>
<span class="lineno">115</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span> <span class="o">=</span> <span class="n">GetCNN</span><span class="p">(</span><span class="n">config</span><span class="p">[</span><span class="s2">&quot;l1&quot;</span><span class="p">],</span> <span class="n">config</span><span class="p">[</span><span class="s2">&quot;l2&quot;</span><span class="p">])</span>
<span class="lineno">116</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span>
<span class="lineno">117</span>
<span class="lineno">118</span> <span class="n">trainloader</span><span class="p">,</span> <span class="n">valloader</span> <span class="o">=</span> <span class="n">Dataloader_train_valid</span><span class="p">(</span><span class="n">data_dir</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="n">config</span><span class="p">[</span><span class="s2">&quot;batch_size&quot;</span><span class="p">])</span></pre></div>
</div>
</div>
<div class='section' id='section-18'>
<div class='docs'>
<div class='section-link'>
<a href='#section-18'>#</a>
</div>
<p>Optimizer and Cost function</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">121</span> <span class="bp">self</span><span class="o">.</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="bp">self</span><span class="o">.</span><span class="n">net</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="n">config</span><span class="p">[</span><span class="s2">&quot;lr&quot;</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="n">config</span><span class="p">[</span><span class="s2">&quot;decay&quot;</span><span class="p">])</span>
<span class="lineno">122</span> <span class="bp">self</span><span class="o">.</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>
</div>
</div>
<div class='section' id='section-19'>
<div class='docs'>
<div class='section-link'>
<a href='#section-19'>#</a>
</div>
<p>restoring checkpoint</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">125</span> <span class="k">if</span> <span class="n">checkpoint_dir</span><span class="p">:</span>
<span class="lineno">126</span> <span class="n">checkpoint</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">checkpoint_dir</span><span class="p">,</span> <span class="s2">&quot;checkpoint&quot;</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-20'>
<div class='docs'>
<div class='section-link'>
<a href='#section-20'>#</a>
</div>
<p>checkpoint = checkpoint_dir</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">128</span> <span class="n">model_state</span><span class="p">,</span> <span class="n">optimizer_state</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">)</span>
<span class="lineno">129</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="o">.</span><span class="n">load_state_dict</span><span class="p">(</span><span class="n">model_state</span><span class="p">)</span>
<span class="lineno">130</span> <span class="bp">self</span><span class="o">.</span><span class="n">opt</span><span class="o">.</span><span class="n">load_state_dict</span><span class="p">(</span><span class="n">optimizer_state</span><span class="p">)</span>
<span class="lineno">131</span>
<span class="lineno">132</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="o">.</span><span class="n">train</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-21'>
<div class='docs'>
<div class='section-link'>
<a href='#section-21'>#</a>
</div>
<p>Record loss/accuracies</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">135</span> <span class="n">train_loss</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">epochs</span><span class="p">)</span>
<span class="lineno">136</span> <span class="bp">self</span><span class="o">.</span><span class="n">epoch</span> <span class="o">=</span> <span class="mi">0</span>
<span class="lineno">137</span> <span class="n">train_steps</span> <span class="o">=</span> <span class="mi">0</span>
<span class="lineno">138</span> <span class="k">for</span> <span class="n">epoch</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">start_epoch</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">start_epoch</span><span class="o">+</span><span class="n">epochs</span><span class="p">):</span>
<span class="lineno">139</span> <span class="bp">self</span><span class="o">.</span><span class="n">epoch</span> <span class="o">=</span> <span class="n">epoch</span><span class="o">+</span><span class="mi">1</span>
<span class="lineno">140</span>
<span class="lineno">141</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="o">.</span><span class="n">train</span><span class="p">()</span> <span class="c1"># Enable Dropout</span>
<span class="lineno">142</span> <span class="k">for</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">trainloader</span><span class="p">:</span></pre></div>
</div>
</div>
<div class='section' id='section-22'>
<div class='docs'>
<div class='section-link'>
<a href='#section-22'>#</a>
</div>
<p>Get the inputs; data is a list of [inputs, labels]</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">144</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">:</span>
<span class="lineno">145</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">),</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span>
<span class="lineno">146</span> <span class="k">else</span><span class="p">:</span>
<span class="lineno">147</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
<span class="lineno">148</span>
<span class="lineno">149</span> <span class="bp">self</span><span class="o">.</span><span class="n">opt</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-23'>
<div class='docs'>
<div class='section-link'>
<a href='#section-23'>#</a>
</div>
<p>Forward + backward + optimize</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">151</span> <span class="n">outputs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
<span class="lineno">152</span> <span class="n">epoch_loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">cost</span><span class="p">(</span><span class="n">outputs</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
<span class="lineno">153</span> <span class="n">epoch_loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
<span class="lineno">154</span> <span class="bp">self</span><span class="o">.</span><span class="n">opt</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>
<span class="lineno">155</span> <span class="n">train_steps</span><span class="o">+=</span><span class="mi">1</span>
<span class="lineno">156</span>
<span class="lineno">157</span> <span class="n">train_loss</span><span class="p">[</span><span class="n">epoch</span><span class="p">]</span> <span class="o">+=</span> <span class="n">epoch_loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-24'>
<div class='docs'>
<div class='section-link'>
<a href='#section-24'>#</a>
</div>
<p>Validation loss</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">160</span> <span class="n">val_loss</span> <span class="o">=</span> <span class="mf">0.0</span>
<span class="lineno">161</span> <span class="n">val_steps</span> <span class="o">=</span> <span class="mi">0</span>
<span class="lineno">162</span> <span class="n">total</span> <span class="o">=</span> <span class="mi">0</span>
<span class="lineno">163</span> <span class="n">correct</span> <span class="o">=</span> <span class="mi">0</span>
<span class="lineno">164</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
<span class="lineno">165</span> <span class="k">for</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">valloader</span><span class="p">:</span>
<span class="lineno">166</span> <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span></pre></div>
</div>
</div>
<div class='section' id='section-25'>
<div class='docs'>
<div class='section-link'>
<a href='#section-25'>#</a>
</div>
<p>Get the inputs; data is a list of [inputs, labels]</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">168</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">:</span>
<span class="lineno">169</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">),</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span>
<span class="lineno">170</span> <span class="k">else</span><span class="p">:</span>
<span class="lineno">171</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span></pre></div>
</div>
</div>
<div class='section' id='section-26'>
<div class='docs'>
<div class='section-link'>
<a href='#section-26'>#</a>
</div>
<p>Forward + backward + optimize</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">174</span> <span class="n">outputs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
<span class="lineno">175</span> <span class="n">_</span><span class="p">,</span> <span class="n">predicted</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">outputs</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="lineno">176</span> <span class="n">total</span> <span class="o">+=</span> <span class="n">labels</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="lineno">177</span> <span class="n">correct</span> <span class="o">+=</span> <span class="p">(</span><span class="n">predicted</span> <span class="o">==</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
<span class="lineno">178</span>
<span class="lineno">179</span> <span class="n">loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">cost</span><span class="p">(</span><span class="n">outputs</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
<span class="lineno">180</span> <span class="n">val_loss</span> <span class="o">+=</span> <span class="n">loss</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
<span class="lineno">181</span> <span class="n">val_steps</span> <span class="o">+=</span> <span class="mi">1</span></pre></div>
</div>
</div>
<div class='section' id='section-27'>
<div class='docs'>
<div class='section-link'>
<a href='#section-27'>#</a>
</div>
<p>Save checkpoints</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">184</span> <span class="k">with</span> <span class="n">tune</span><span class="o">.</span><span class="n">checkpoint_dir</span><span class="p">(</span><span class="n">step</span><span class="o">=</span><span class="n">epoch</span><span class="p">)</span> <span class="k">as</span> <span class="n">checkpoint_dir</span><span class="p">:</span>
<span class="lineno">185</span> <span class="n">path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">checkpoint_dir</span><span class="p">,</span> <span class="s2">&quot;checkpoint&quot;</span><span class="p">)</span>
<span class="lineno">186</span> <span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span>
<span class="lineno">187</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="o">.</span><span class="n">state_dict</span><span class="p">(),</span> <span class="bp">self</span><span class="o">.</span><span class="n">opt</span><span class="o">.</span><span class="n">state_dict</span><span class="p">()),</span> <span class="n">path</span><span class="p">)</span>
<span class="lineno">188</span>
<span class="lineno">189</span> <span class="n">tune</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">loss</span><span class="o">=</span><span class="p">(</span><span class="n">val_loss</span> <span class="o">/</span> <span class="n">val_steps</span><span class="p">),</span> <span class="n">accuracy</span><span class="o">=</span><span class="n">correct</span> <span class="o">/</span> <span class="n">total</span><span class="p">)</span>
<span class="lineno">190</span>
<span class="lineno">191</span> <span class="k">return</span> <span class="n">train_loss</span></pre></div>
</div>
</div>
<div class='section' id='section-28'>
<div class='docs'>
<div class='section-link'>
<a href='#section-28'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">193</span> <span class="k">def</span> <span class="nf">plot_accuracy</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">accuracy</span><span class="p">,</span> <span class="n">criterea</span> <span class="o">=</span> <span class="s2">&quot;accuracy&quot;</span><span class="p">):</span>
<span class="lineno">194</span> <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">accuracy</span><span class="o">.</span><span class="n">numpy</span><span class="p">())</span>
<span class="lineno">195</span> <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;Accuracy&quot;</span> <span class="k">if</span> <span class="n">criterea</span> <span class="o">==</span> <span class="s2">&quot;accuracy&quot;</span> <span class="k">else</span> <span class="s2">&quot;Loss&quot;</span><span class="p">)</span>
<span class="lineno">196</span> <span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Epochs&quot;</span><span class="p">)</span>
<span class="lineno">197</span> <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-29'>
<div class='docs'>
<div class='section-link'>
<a href='#section-29'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">200</span> <span class="k">def</span> <span class="nf">save_checkpoint</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
<span class="lineno">201</span> <span class="n">directory</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="s2">&quot;./save/</span><span class="si">%s</span><span class="s2">-checkpoints/&quot;</span><span class="o">%</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">name</span><span class="p">))</span>
<span class="lineno">202</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">directory</span><span class="p">):</span>
<span class="lineno">203</span> <span class="n">os</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">directory</span><span class="p">)</span>
<span class="lineno">204</span> <span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">state</span><span class="p">,</span> <span class="s2">&quot;</span><span class="si">%s</span><span class="s2">/model_epoch_</span><span class="si">%s</span><span class="s2">.pt&quot;</span> <span class="o">%</span><span class="p">(</span><span class="n">directory</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">epoch</span><span class="p">))</span></pre></div>
</div>
</div>
<div class='section' id='section-30'>
<div class='docs'>
<div class='section-link'>
<a href='#section-30'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">206</span> <span class="k">def</span> <span class="nf">save_best_model</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
<span class="lineno">207</span> <span class="n">directory</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="s2">&quot;./save/</span><span class="si">%s</span><span class="s2">-best-model/&quot;</span><span class="o">%</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">name</span><span class="p">))</span>
<span class="lineno">208</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">directory</span><span class="p">):</span>
<span class="lineno">209</span> <span class="n">os</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">directory</span><span class="p">)</span>
<span class="lineno">210</span> <span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">state</span><span class="p">,</span> <span class="s2">&quot;</span><span class="si">%s</span><span class="s2">/model.pt&quot;</span> <span class="o">%</span><span class="p">(</span><span class="n">directory</span><span class="p">))</span></pre></div>
</div>
</div>
</div>
</div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.4/MathJax.js?config=TeX-AMS_HTML">
</script>
<!-- MathJax configuration -->
<script type="text/x-mathjax-config">
MathJax.Hub.Config({
tex2jax: {
inlineMath: [ ['$','$'] ],
displayMath: [ ['$$','$$'] ],
processEscapes: true,
processEnvironments: true
},
// Center justify equations in code and markdown cells. Elsewhere
// we use CSS to left justify single line equations in code cells.
displayAlign: 'center',
"HTML-CSS": { fonts: ["TeX"] }
});
</script>
</body>
</html>