chore: import upstream snapshot with attribution
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wehub-resource-sync
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<div class="highlight"><pre><span class="lineno">1</span><span></span><span class="kn">import</span> <span class="nn">random</span>
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<span class="lineno">2</span><span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">PurePath</span><span class="p">,</span> <span class="n">Path</span>
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<span class="lineno">3</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">Callable</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Optional</span>
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<span class="lineno">4</span>
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<span class="lineno">5</span><span class="kn">from</span> <span class="nn">torchvision</span> <span class="kn">import</span> <span class="n">datasets</span><span class="p">,</span> <span class="n">transforms</span>
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<span class="lineno">6</span>
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<span class="lineno">7</span><span class="kn">import</span> <span class="nn">torch</span>
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<span class="lineno">8</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">lab</span>
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<span class="lineno">9</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">monit</span>
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<span class="lineno">10</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">BaseConfigs</span>
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<span class="lineno">11</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">aggregate</span><span class="p">,</span> <span class="n">option</span>
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<span class="lineno">12</span><span class="kn">from</span> <span class="nn">labml.utils.download</span> <span class="kn">import</span> <span class="n">download_file</span>
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<span class="lineno">13</span><span class="kn">from</span> <span class="nn">torch.utils.data</span> <span class="kn">import</span> <span class="n">DataLoader</span>
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<span class="lineno">14</span><span class="kn">from</span> <span class="nn">torch.utils.data</span> <span class="kn">import</span> <span class="n">IterableDataset</span><span class="p">,</span> <span class="n">Dataset</span></pre></div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">17</span><span class="k">def</span> <span class="nf">_mnist_dataset</span><span class="p">(</span><span class="n">is_train</span><span class="p">,</span> <span class="n">transform</span><span class="p">):</span>
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<span class="lineno">18</span> <span class="k">return</span> <span class="n">datasets</span><span class="o">.</span><span class="n">MNIST</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">lab</span><span class="o">.</span><span class="n">get_data_path</span><span class="p">()),</span>
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<span class="lineno">19</span> <span class="n">train</span><span class="o">=</span><span class="n">is_train</span><span class="p">,</span>
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<span class="lineno">20</span> <span class="n">download</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
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<span class="lineno">21</span> <span class="n">transform</span><span class="o">=</span><span class="n">transform</span><span class="p">)</span></pre></div>
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<div class='section' id='section-2'>
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<div class='docs doc-strings'>
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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> Configurable MNIST data set.</p>
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<p>Arguments: dataset_name (str): name of the data set, <code class="highlight"><span></span></code>
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MNIST<code class="highlight"><span></span></code>
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dataset_transforms (torchvision.transforms.Compose): image transformations train_dataset (torchvision.datasets.MNIST): training dataset valid_dataset (torchvision.datasets.MNIST): validation dataset</p>
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<p> train_loader (torch.utils.data.DataLoader): training data loader valid_loader (torch.utils.data.DataLoader): validation data loader</p>
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<p> train_batch_size (int): training batch size valid_batch_size (int): validation batch size</p>
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<p> train_loader_shuffle (bool): whether to shuffle training data valid_loader_shuffle (bool): whether to shuffle validation data</p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">24</span><span class="k">class</span> <span class="nc">MNISTConfigs</span><span class="p">(</span><span class="n">BaseConfigs</span><span class="p">):</span></pre></div>
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<div class='section' id='section-3'>
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<div class='docs'>
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<a href='#section-3'>#</a>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">44</span> <span class="n">dataset_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'MNIST'</span>
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<span class="lineno">45</span> <span class="n">dataset_transforms</span><span class="p">:</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span>
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<span class="lineno">46</span> <span class="n">train_dataset</span><span class="p">:</span> <span class="n">datasets</span><span class="o">.</span><span class="n">MNIST</span>
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<span class="lineno">47</span> <span class="n">valid_dataset</span><span class="p">:</span> <span class="n">datasets</span><span class="o">.</span><span class="n">MNIST</span>
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<span class="lineno">48</span>
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<span class="lineno">49</span> <span class="n">train_loader</span><span class="p">:</span> <span class="n">DataLoader</span>
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<span class="lineno">50</span> <span class="n">valid_loader</span><span class="p">:</span> <span class="n">DataLoader</span>
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<span class="lineno">51</span>
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<span class="lineno">52</span> <span class="n">train_batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">64</span>
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<span class="lineno">53</span> <span class="n">valid_batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1024</span>
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<span class="lineno">54</span>
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<span class="lineno">55</span> <span class="n">train_loader_shuffle</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span>
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<span class="lineno">56</span> <span class="n">valid_loader_shuffle</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span></pre></div>
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<div class='section' id='section-4'>
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<div class='docs doc-strings'>
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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> Configurable CIFAR 10 data set.</p>
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<p>Arguments: dataset_name (str): name of the data set, <code class="highlight"><span></span></code>
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CIFAR10<code class="highlight"><span></span></code>
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dataset_transforms (torchvision.transforms.Compose): image transformations train_dataset (torchvision.datasets.CIFAR10): training dataset valid_dataset (torchvision.datasets.CIFAR10): validation dataset</p>
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<p> train_loader (torch.utils.data.DataLoader): training data loader valid_loader (torch.utils.data.DataLoader): validation data loader</p>
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<p> train_batch_size (int): training batch size valid_batch_size (int): validation batch size</p>
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<p> train_loader_shuffle (bool): whether to shuffle training data valid_loader_shuffle (bool): whether to shuffle validation data</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">59</span><span class="nd">@option</span><span class="p">(</span><span class="n">MNISTConfigs</span><span class="o">.</span><span class="n">dataset_transforms</span><span class="p">)</span>
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<span class="lineno">60</span><span class="k">def</span> <span class="nf">mnist_transforms</span><span class="p">():</span>
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<span class="lineno">61</span> <span class="k">return</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">62</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">63</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">((</span><span class="mf">0.1307</span><span class="p">,),</span> <span class="p">(</span><span class="mf">0.3081</span><span class="p">,))</span>
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<span class="lineno">64</span> <span class="p">])</span>
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<span class="lineno">65</span>
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<span class="lineno">66</span>
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<span class="lineno">67</span><span class="nd">@option</span><span class="p">(</span><span class="n">MNISTConfigs</span><span class="o">.</span><span class="n">train_dataset</span><span class="p">)</span>
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<span class="lineno">68</span><span class="k">def</span> <span class="nf">mnist_train_dataset</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">MNISTConfigs</span><span class="p">):</span>
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<span class="lineno">69</span> <span class="k">return</span> <span class="n">_mnist_dataset</span><span class="p">(</span><span class="kc">True</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">dataset_transforms</span><span class="p">)</span>
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<span class="lineno">70</span>
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<span class="lineno">71</span>
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<span class="lineno">72</span><span class="nd">@option</span><span class="p">(</span><span class="n">MNISTConfigs</span><span class="o">.</span><span class="n">valid_dataset</span><span class="p">)</span>
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<span class="lineno">73</span><span class="k">def</span> <span class="nf">mnist_valid_dataset</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">MNISTConfigs</span><span class="p">):</span>
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<span class="lineno">74</span> <span class="k">return</span> <span class="n">_mnist_dataset</span><span class="p">(</span><span class="kc">False</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">dataset_transforms</span><span class="p">)</span>
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<span class="lineno">75</span>
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<span class="lineno">76</span>
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<span class="lineno">77</span><span class="nd">@option</span><span class="p">(</span><span class="n">MNISTConfigs</span><span class="o">.</span><span class="n">train_loader</span><span class="p">)</span>
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<span class="lineno">78</span><span class="k">def</span> <span class="nf">mnist_train_loader</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">MNISTConfigs</span><span class="p">):</span>
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<span class="lineno">79</span> <span class="k">return</span> <span class="n">DataLoader</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">train_dataset</span><span class="p">,</span>
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<span class="lineno">80</span> <span class="n">batch_size</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">train_batch_size</span><span class="p">,</span>
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<span class="lineno">81</span> <span class="n">shuffle</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">train_loader_shuffle</span><span class="p">)</span>
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<span class="lineno">82</span>
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<span class="lineno">83</span>
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<span class="lineno">84</span><span class="nd">@option</span><span class="p">(</span><span class="n">MNISTConfigs</span><span class="o">.</span><span class="n">valid_loader</span><span class="p">)</span>
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<span class="lineno">85</span><span class="k">def</span> <span class="nf">mnist_valid_loader</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">MNISTConfigs</span><span class="p">):</span>
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<span class="lineno">86</span> <span class="k">return</span> <span class="n">DataLoader</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">valid_dataset</span><span class="p">,</span>
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<span class="lineno">87</span> <span class="n">batch_size</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">valid_batch_size</span><span class="p">,</span>
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<span class="lineno">88</span> <span class="n">shuffle</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">valid_loader_shuffle</span><span class="p">)</span>
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<span class="lineno">89</span>
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<span class="lineno">90</span>
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<span class="lineno">91</span><span class="n">aggregate</span><span class="p">(</span><span class="n">MNISTConfigs</span><span class="o">.</span><span class="n">dataset_name</span><span class="p">,</span> <span class="s1">'MNIST'</span><span class="p">,</span>
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<span class="lineno">92</span> <span class="p">(</span><span class="n">MNISTConfigs</span><span class="o">.</span><span class="n">dataset_transforms</span><span class="p">,</span> <span class="s1">'mnist_transforms'</span><span class="p">),</span>
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<span class="lineno">93</span> <span class="p">(</span><span class="n">MNISTConfigs</span><span class="o">.</span><span class="n">train_dataset</span><span class="p">,</span> <span class="s1">'mnist_train_dataset'</span><span class="p">),</span>
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<span class="lineno">94</span> <span class="p">(</span><span class="n">MNISTConfigs</span><span class="o">.</span><span class="n">valid_dataset</span><span class="p">,</span> <span class="s1">'mnist_valid_dataset'</span><span class="p">),</span>
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<span class="lineno">95</span> <span class="p">(</span><span class="n">MNISTConfigs</span><span class="o">.</span><span class="n">train_loader</span><span class="p">,</span> <span class="s1">'mnist_train_loader'</span><span class="p">),</span>
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<span class="lineno">96</span> <span class="p">(</span><span class="n">MNISTConfigs</span><span class="o">.</span><span class="n">valid_loader</span><span class="p">,</span> <span class="s1">'mnist_valid_loader'</span><span class="p">))</span>
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<span class="lineno">97</span>
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<span class="lineno">98</span>
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<span class="lineno">99</span><span class="k">def</span> <span class="nf">_cifar_dataset</span><span class="p">(</span><span class="n">is_train</span><span class="p">,</span> <span class="n">transform</span><span class="p">):</span>
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<span class="lineno">100</span> <span class="k">return</span> <span class="n">datasets</span><span class="o">.</span><span class="n">CIFAR10</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">lab</span><span class="o">.</span><span class="n">get_data_path</span><span class="p">()),</span>
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<span class="lineno">101</span> <span class="n">train</span><span class="o">=</span><span class="n">is_train</span><span class="p">,</span>
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<span class="lineno">102</span> <span class="n">download</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
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<span class="lineno">103</span> <span class="n">transform</span><span class="o">=</span><span class="n">transform</span><span class="p">)</span>
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<span class="lineno">104</span>
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<span class="lineno">105</span>
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<span class="lineno">106</span><span class="k">class</span> <span class="nc">CIFAR10Configs</span><span class="p">(</span><span class="n">BaseConfigs</span><span class="p">):</span></pre></div>
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<div class='docs'>
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<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">125</span> <span class="n">dataset_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'CIFAR10'</span>
|
||||
<span class="lineno">126</span> <span class="n">dataset_transforms</span><span class="p">:</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span>
|
||||
<span class="lineno">127</span> <span class="n">train_dataset</span><span class="p">:</span> <span class="n">datasets</span><span class="o">.</span><span class="n">CIFAR10</span>
|
||||
<span class="lineno">128</span> <span class="n">valid_dataset</span><span class="p">:</span> <span class="n">datasets</span><span class="o">.</span><span class="n">CIFAR10</span>
|
||||
<span class="lineno">129</span>
|
||||
<span class="lineno">130</span> <span class="n">train_loader</span><span class="p">:</span> <span class="n">DataLoader</span>
|
||||
<span class="lineno">131</span> <span class="n">valid_loader</span><span class="p">:</span> <span class="n">DataLoader</span>
|
||||
<span class="lineno">132</span>
|
||||
<span class="lineno">133</span> <span class="n">train_batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">64</span>
|
||||
<span class="lineno">134</span> <span class="n">valid_batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1024</span>
|
||||
<span class="lineno">135</span>
|
||||
<span class="lineno">136</span> <span class="n">train_loader_shuffle</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span>
|
||||
<span class="lineno">137</span> <span class="n">valid_loader_shuffle</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-6'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-6'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">140</span><span class="nd">@CIFAR10Configs</span><span class="o">.</span><span class="n">calc</span><span class="p">(</span><span class="n">CIFAR10Configs</span><span class="o">.</span><span class="n">dataset_transforms</span><span class="p">)</span>
|
||||
<span class="lineno">141</span><span class="k">def</span> <span class="nf">cifar10_transforms</span><span class="p">():</span>
|
||||
<span class="lineno">142</span> <span class="k">return</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span>
|
||||
<span class="lineno">143</span> <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
|
||||
<span class="lineno">144</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>
|
||||
<span class="lineno">145</span> <span class="p">])</span>
|
||||
<span class="lineno">146</span>
|
||||
<span class="lineno">147</span>
|
||||
<span class="lineno">148</span><span class="nd">@CIFAR10Configs</span><span class="o">.</span><span class="n">calc</span><span class="p">(</span><span class="n">CIFAR10Configs</span><span class="o">.</span><span class="n">train_dataset</span><span class="p">)</span>
|
||||
<span class="lineno">149</span><span class="k">def</span> <span class="nf">cifar10_train_dataset</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">CIFAR10Configs</span><span class="p">):</span>
|
||||
<span class="lineno">150</span> <span class="k">return</span> <span class="n">_cifar_dataset</span><span class="p">(</span><span class="kc">True</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">dataset_transforms</span><span class="p">)</span>
|
||||
<span class="lineno">151</span>
|
||||
<span class="lineno">152</span>
|
||||
<span class="lineno">153</span><span class="nd">@CIFAR10Configs</span><span class="o">.</span><span class="n">calc</span><span class="p">(</span><span class="n">CIFAR10Configs</span><span class="o">.</span><span class="n">valid_dataset</span><span class="p">)</span>
|
||||
<span class="lineno">154</span><span class="k">def</span> <span class="nf">cifar10_valid_dataset</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">CIFAR10Configs</span><span class="p">):</span>
|
||||
<span class="lineno">155</span> <span class="k">return</span> <span class="n">_cifar_dataset</span><span class="p">(</span><span class="kc">False</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">dataset_transforms</span><span class="p">)</span>
|
||||
<span class="lineno">156</span>
|
||||
<span class="lineno">157</span>
|
||||
<span class="lineno">158</span><span class="nd">@CIFAR10Configs</span><span class="o">.</span><span class="n">calc</span><span class="p">(</span><span class="n">CIFAR10Configs</span><span class="o">.</span><span class="n">train_loader</span><span class="p">)</span>
|
||||
<span class="lineno">159</span><span class="k">def</span> <span class="nf">cifar10_train_loader</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">CIFAR10Configs</span><span class="p">):</span>
|
||||
<span class="lineno">160</span> <span class="k">return</span> <span class="n">DataLoader</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">train_dataset</span><span class="p">,</span>
|
||||
<span class="lineno">161</span> <span class="n">batch_size</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">train_batch_size</span><span class="p">,</span>
|
||||
<span class="lineno">162</span> <span class="n">shuffle</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">train_loader_shuffle</span><span class="p">)</span>
|
||||
<span class="lineno">163</span>
|
||||
<span class="lineno">164</span>
|
||||
<span class="lineno">165</span><span class="nd">@CIFAR10Configs</span><span class="o">.</span><span class="n">calc</span><span class="p">(</span><span class="n">CIFAR10Configs</span><span class="o">.</span><span class="n">valid_loader</span><span class="p">)</span>
|
||||
<span class="lineno">166</span><span class="k">def</span> <span class="nf">cifar10_valid_loader</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">CIFAR10Configs</span><span class="p">):</span>
|
||||
<span class="lineno">167</span> <span class="k">return</span> <span class="n">DataLoader</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">valid_dataset</span><span class="p">,</span>
|
||||
<span class="lineno">168</span> <span class="n">batch_size</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">valid_batch_size</span><span class="p">,</span>
|
||||
<span class="lineno">169</span> <span class="n">shuffle</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">valid_loader_shuffle</span><span class="p">)</span>
|
||||
<span class="lineno">170</span>
|
||||
<span class="lineno">171</span>
|
||||
<span class="lineno">172</span><span class="n">CIFAR10Configs</span><span class="o">.</span><span class="n">aggregate</span><span class="p">(</span><span class="n">CIFAR10Configs</span><span class="o">.</span><span class="n">dataset_name</span><span class="p">,</span> <span class="s1">'CIFAR10'</span><span class="p">,</span>
|
||||
<span class="lineno">173</span> <span class="p">(</span><span class="n">CIFAR10Configs</span><span class="o">.</span><span class="n">dataset_transforms</span><span class="p">,</span> <span class="s1">'cifar10_transforms'</span><span class="p">),</span>
|
||||
<span class="lineno">174</span> <span class="p">(</span><span class="n">CIFAR10Configs</span><span class="o">.</span><span class="n">train_dataset</span><span class="p">,</span> <span class="s1">'cifar10_train_dataset'</span><span class="p">),</span>
|
||||
<span class="lineno">175</span> <span class="p">(</span><span class="n">CIFAR10Configs</span><span class="o">.</span><span class="n">valid_dataset</span><span class="p">,</span> <span class="s1">'cifar10_valid_dataset'</span><span class="p">),</span>
|
||||
<span class="lineno">176</span> <span class="p">(</span><span class="n">CIFAR10Configs</span><span class="o">.</span><span class="n">train_loader</span><span class="p">,</span> <span class="s1">'cifar10_train_loader'</span><span class="p">),</span>
|
||||
<span class="lineno">177</span> <span class="p">(</span><span class="n">CIFAR10Configs</span><span class="o">.</span><span class="n">valid_loader</span><span class="p">,</span> <span class="s1">'cifar10_valid_loader'</span><span class="p">))</span>
|
||||
<span class="lineno">178</span>
|
||||
<span class="lineno">179</span>
|
||||
<span class="lineno">180</span><span class="k">class</span> <span class="nc">TextDataset</span><span class="p">:</span>
|
||||
<span class="lineno">181</span> <span class="n">itos</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span>
|
||||
<span class="lineno">182</span> <span class="n">stoi</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]</span>
|
||||
<span class="lineno">183</span> <span class="n">n_tokens</span><span class="p">:</span> <span class="nb">int</span>
|
||||
<span class="lineno">184</span> <span class="n">train</span><span class="p">:</span> <span class="nb">str</span>
|
||||
<span class="lineno">185</span> <span class="n">valid</span><span class="p">:</span> <span class="nb">str</span>
|
||||
<span class="lineno">186</span> <span class="n">standard_tokens</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
|
||||
<span class="lineno">187</span>
|
||||
<span class="lineno">188</span> <span class="nd">@staticmethod</span>
|
||||
<span class="lineno">189</span> <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="n">path</span><span class="p">:</span> <span class="n">PurePath</span><span class="p">):</span>
|
||||
<span class="lineno">190</span> <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">path</span><span class="p">),</span> <span class="s1">'r'</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
|
||||
<span class="lineno">191</span> <span class="k">return</span> <span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">()</span>
|
||||
<span class="lineno">192</span>
|
||||
<span class="lineno">193</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">path</span><span class="p">:</span> <span class="n">PurePath</span><span class="p">,</span> <span class="n">tokenizer</span><span class="p">:</span> <span class="n">Callable</span><span class="p">,</span> <span class="n">train</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">valid</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">test</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span>
|
||||
<span class="lineno">194</span> <span class="n">n_tokens</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
|
||||
<span class="lineno">195</span> <span class="n">stoi</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
|
||||
<span class="lineno">196</span> <span class="n">itos</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">str</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span>
|
||||
<span class="lineno">197</span> <span class="bp">self</span><span class="o">.</span><span class="n">test</span> <span class="o">=</span> <span class="n">test</span>
|
||||
<span class="lineno">198</span> <span class="bp">self</span><span class="o">.</span><span class="n">valid</span> <span class="o">=</span> <span class="n">valid</span>
|
||||
<span class="lineno">199</span> <span class="bp">self</span><span class="o">.</span><span class="n">train</span> <span class="o">=</span> <span class="n">train</span>
|
||||
<span class="lineno">200</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span> <span class="o">=</span> <span class="n">tokenizer</span>
|
||||
<span class="lineno">201</span> <span class="bp">self</span><span class="o">.</span><span class="n">path</span> <span class="o">=</span> <span class="n">path</span>
|
||||
<span class="lineno">202</span>
|
||||
<span class="lineno">203</span> <span class="k">if</span> <span class="n">n_tokens</span> <span class="ow">or</span> <span class="n">stoi</span> <span class="ow">or</span> <span class="n">itos</span><span class="p">:</span>
|
||||
<span class="lineno">204</span> <span class="k">assert</span> <span class="n">stoi</span> <span class="ow">and</span> <span class="n">itos</span> <span class="ow">and</span> <span class="n">n_tokens</span>
|
||||
<span class="lineno">205</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_tokens</span> <span class="o">=</span> <span class="n">n_tokens</span>
|
||||
<span class="lineno">206</span> <span class="bp">self</span><span class="o">.</span><span class="n">stoi</span> <span class="o">=</span> <span class="n">stoi</span>
|
||||
<span class="lineno">207</span> <span class="bp">self</span><span class="o">.</span><span class="n">itos</span> <span class="o">=</span> <span class="n">itos</span>
|
||||
<span class="lineno">208</span> <span class="k">else</span><span class="p">:</span>
|
||||
<span class="lineno">209</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_tokens</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">standard_tokens</span><span class="p">)</span>
|
||||
<span class="lineno">210</span> <span class="bp">self</span><span class="o">.</span><span class="n">stoi</span> <span class="o">=</span> <span class="p">{</span><span class="n">t</span><span class="p">:</span> <span class="n">i</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">t</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">standard_tokens</span><span class="p">)}</span>
|
||||
<span class="lineno">211</span>
|
||||
<span class="lineno">212</span> <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s2">"Tokenize"</span><span class="p">):</span>
|
||||
<span class="lineno">213</span> <span class="n">tokens</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">train</span><span class="p">)</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">valid</span><span class="p">)</span>
|
||||
<span class="lineno">214</span> <span class="n">tokens</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">tokens</span><span class="p">)))</span>
|
||||
<span class="lineno">215</span>
|
||||
<span class="lineno">216</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">iterate</span><span class="p">(</span><span class="s2">"Build vocabulary"</span><span class="p">,</span> <span class="n">tokens</span><span class="p">):</span>
|
||||
<span class="lineno">217</span> <span class="bp">self</span><span class="o">.</span><span class="n">stoi</span><span class="p">[</span><span class="n">t</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_tokens</span>
|
||||
<span class="lineno">218</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_tokens</span> <span class="o">+=</span> <span class="mi">1</span>
|
||||
<span class="lineno">219</span>
|
||||
<span class="lineno">220</span> <span class="bp">self</span><span class="o">.</span><span class="n">itos</span> <span class="o">=</span> <span class="p">[</span><span class="s1">''</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_tokens</span>
|
||||
<span class="lineno">221</span> <span class="k">for</span> <span class="n">t</span><span class="p">,</span> <span class="n">n</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">stoi</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||||
<span class="lineno">222</span> <span class="bp">self</span><span class="o">.</span><span class="n">itos</span><span class="p">[</span><span class="n">n</span><span class="p">]</span> <span class="o">=</span> <span class="n">t</span>
|
||||
<span class="lineno">223</span>
|
||||
<span class="lineno">224</span> <span class="k">def</span> <span class="nf">text_to_i</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">text</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">:</span>
|
||||
<span class="lineno">225</span> <span class="n">tokens</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span><span class="p">(</span><span class="n">text</span><span class="p">)</span>
|
||||
<span class="lineno">226</span> <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">stoi</span><span class="p">[</span><span class="n">s</span><span class="p">]</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">tokens</span> <span class="k">if</span> <span class="n">s</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">stoi</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">long</span><span class="p">)</span>
|
||||
<span class="lineno">227</span>
|
||||
<span class="lineno">228</span> <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">229</span> <span class="k">return</span> <span class="sa">f</span><span class="s1">'</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">train</span><span class="p">)</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="mi">1_000_000</span><span class="w"> </span><span class="si">:</span><span class="s1">,.2f</span><span class="si">}</span><span class="s1">M, </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">valid</span><span class="p">)</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="mi">1_000_000</span><span class="w"> </span><span class="si">:</span><span class="s1">,.2f</span><span class="si">}</span><span class="s1">M - </span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">path</span><span class="p">)</span><span class="si">}</span><span class="s1">'</span>
|
||||
<span class="lineno">230</span>
|
||||
<span class="lineno">231</span>
|
||||
<span class="lineno">232</span><span class="k">class</span> <span class="nc">SequentialDataLoader</span><span class="p">(</span><span class="n">IterableDataset</span><span class="p">):</span>
|
||||
<span class="lineno">233</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="o">*</span><span class="p">,</span> <span class="n">text</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">dataset</span><span class="p">:</span> <span class="n">TextDataset</span><span class="p">,</span>
|
||||
<span class="lineno">234</span> <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
|
||||
<span class="lineno">235</span> <span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span> <span class="o">=</span> <span class="n">seq_len</span>
|
||||
<span class="lineno">236</span> <span class="n">data</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">text_to_i</span><span class="p">(</span><span class="n">text</span><span class="p">)</span>
|
||||
<span class="lineno">237</span> <span class="n">n_batch</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">//</span> <span class="n">batch_size</span>
|
||||
<span class="lineno">238</span> <span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">narrow</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="n">n_batch</span> <span class="o">*</span> <span class="n">batch_size</span><span class="p">)</span>
|
||||
<span class="lineno">239</span> <span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="n">batch_size</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">t</span><span class="p">()</span><span class="o">.</span><span class="n">contiguous</span><span class="p">()</span>
|
||||
<span class="lineno">240</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="n">data</span>
|
||||
<span class="lineno">241</span>
|
||||
<span class="lineno">242</span> <span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">243</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span>
|
||||
<span class="lineno">244</span>
|
||||
<span class="lineno">245</span> <span class="k">def</span> <span class="fm">__iter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">246</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="lineno">247</span> <span class="k">return</span> <span class="bp">self</span>
|
||||
<span class="lineno">248</span>
|
||||
<span class="lineno">249</span> <span class="k">def</span> <span class="fm">__next__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">250</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">>=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="mi">1</span><span class="p">:</span>
|
||||
<span class="lineno">251</span> <span class="k">raise</span> <span class="ne">StopIteration</span><span class="p">()</span>
|
||||
<span class="lineno">252</span>
|
||||
<span class="lineno">253</span> <span class="n">seq_len</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="mi">1</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span><span class="p">)</span>
|
||||
<span class="lineno">254</span> <span class="n">i</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">+</span> <span class="n">seq_len</span>
|
||||
<span class="lineno">255</span> <span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">idx</span><span class="p">:</span> <span class="n">i</span><span class="p">]</span>
|
||||
<span class="lineno">256</span> <span class="n">target</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">+</span> <span class="mi">1</span><span class="p">:</span> <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]</span>
|
||||
<span class="lineno">257</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">=</span> <span class="n">i</span>
|
||||
<span class="lineno">258</span> <span class="k">return</span> <span class="n">data</span><span class="p">,</span> <span class="n">target</span>
|
||||
<span class="lineno">259</span>
|
||||
<span class="lineno">260</span> <span class="k">def</span> <span class="fm">__getitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idx</span><span class="p">):</span>
|
||||
<span class="lineno">261</span> <span class="n">seq_len</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="mi">1</span> <span class="o">-</span> <span class="n">idx</span><span class="p">)</span>
|
||||
<span class="lineno">262</span> <span class="n">i</span> <span class="o">=</span> <span class="n">idx</span> <span class="o">+</span> <span class="n">seq_len</span>
|
||||
<span class="lineno">263</span> <span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">idx</span><span class="p">:</span> <span class="n">i</span><span class="p">]</span>
|
||||
<span class="lineno">264</span> <span class="n">target</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">idx</span> <span class="o">+</span> <span class="mi">1</span><span class="p">:</span> <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]</span>
|
||||
<span class="lineno">265</span> <span class="k">return</span> <span class="n">data</span><span class="p">,</span> <span class="n">target</span>
|
||||
<span class="lineno">266</span>
|
||||
<span class="lineno">267</span>
|
||||
<span class="lineno">268</span><span class="k">class</span> <span class="nc">SequentialUnBatchedDataset</span><span class="p">(</span><span class="n">Dataset</span><span class="p">):</span>
|
||||
<span class="lineno">269</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="o">*</span><span class="p">,</span> <span class="n">text</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">dataset</span><span class="p">:</span> <span class="n">TextDataset</span><span class="p">,</span>
|
||||
<span class="lineno">270</span> <span class="n">seq_len</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
|
||||
<span class="lineno">271</span> <span class="n">is_random_offset</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">):</span>
|
||||
<span class="lineno">272</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_random_offset</span> <span class="o">=</span> <span class="n">is_random_offset</span>
|
||||
<span class="lineno">273</span> <span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span> <span class="o">=</span> <span class="n">seq_len</span>
|
||||
<span class="lineno">274</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">text_to_i</span><span class="p">(</span><span class="n">text</span><span class="p">)</span>
|
||||
<span class="lineno">275</span>
|
||||
<span class="lineno">276</span> <span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">277</span> <span class="k">return</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span>
|
||||
<span class="lineno">278</span>
|
||||
<span class="lineno">279</span> <span class="k">def</span> <span class="fm">__getitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idx</span><span class="p">):</span>
|
||||
<span class="lineno">280</span> <span class="n">start</span> <span class="o">=</span> <span class="n">idx</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span>
|
||||
<span class="lineno">281</span> <span class="k">assert</span> <span class="n">start</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span> <span class="o">+</span> <span class="mi">1</span> <span class="o"><=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
||||
<span class="lineno">282</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_random_offset</span><span class="p">:</span>
|
||||
<span class="lineno">283</span> <span class="n">start</span> <span class="o">+=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">min</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span> <span class="o">-</span> <span class="mi">1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="p">(</span><span class="n">start</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)))</span>
|
||||
<span class="lineno">284</span>
|
||||
<span class="lineno">285</span> <span class="n">end</span> <span class="o">=</span> <span class="n">start</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">seq_len</span>
|
||||
<span class="lineno">286</span> <span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">start</span><span class="p">:</span> <span class="n">end</span><span class="p">]</span>
|
||||
<span class="lineno">287</span> <span class="n">target</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">start</span> <span class="o">+</span> <span class="mi">1</span><span class="p">:</span> <span class="n">end</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]</span>
|
||||
<span class="lineno">288</span> <span class="k">return</span> <span class="n">data</span><span class="p">,</span> <span class="n">target</span>
|
||||
<span class="lineno">289</span>
|
||||
<span class="lineno">290</span>
|
||||
<span class="lineno">291</span><span class="k">class</span> <span class="nc">TextFileDataset</span><span class="p">(</span><span class="n">TextDataset</span><span class="p">):</span>
|
||||
<span class="lineno">292</span> <span class="n">standard_tokens</span> <span class="o">=</span> <span class="p">[]</span>
|
||||
<span class="lineno">293</span>
|
||||
<span class="lineno">294</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">path</span><span class="p">:</span> <span class="n">PurePath</span><span class="p">,</span> <span class="n">tokenizer</span><span class="p">:</span> <span class="n">Callable</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span>
|
||||
<span class="lineno">295</span> <span class="n">url</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
|
||||
<span class="lineno">296</span> <span class="n">filter_subset</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span>
|
||||
<span class="lineno">297</span> <span class="n">path</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="n">path</span><span class="p">)</span>
|
||||
<span class="lineno">298</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">():</span>
|
||||
<span class="lineno">299</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">url</span><span class="p">:</span>
|
||||
<span class="lineno">300</span> <span class="k">raise</span> <span class="ne">FileNotFoundError</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">path</span><span class="p">))</span>
|
||||
<span class="lineno">301</span> <span class="k">else</span><span class="p">:</span>
|
||||
<span class="lineno">302</span> <span class="n">download_file</span><span class="p">(</span><span class="n">url</span><span class="p">,</span> <span class="n">path</span><span class="p">)</span>
|
||||
<span class="lineno">303</span>
|
||||
<span class="lineno">304</span> <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s2">"Load data"</span><span class="p">):</span>
|
||||
<span class="lineno">305</span> <span class="n">text</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">path</span><span class="p">)</span>
|
||||
<span class="lineno">306</span> <span class="k">if</span> <span class="n">filter_subset</span><span class="p">:</span>
|
||||
<span class="lineno">307</span> <span class="n">text</span> <span class="o">=</span> <span class="n">text</span><span class="p">[:</span><span class="n">filter_subset</span><span class="p">]</span>
|
||||
<span class="lineno">308</span> <span class="n">split</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">text</span><span class="p">)</span> <span class="o">*</span> <span class="mf">.9</span><span class="p">)</span>
|
||||
<span class="lineno">309</span> <span class="n">train</span> <span class="o">=</span> <span class="n">text</span><span class="p">[:</span><span class="n">split</span><span class="p">]</span>
|
||||
<span class="lineno">310</span> <span class="n">valid</span> <span class="o">=</span> <span class="n">text</span><span class="p">[</span><span class="n">split</span><span class="p">:]</span>
|
||||
<span class="lineno">311</span>
|
||||
<span class="lineno">312</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">tokenizer</span><span class="p">,</span> <span class="n">train</span><span class="p">,</span> <span class="n">valid</span><span class="p">,</span> <span class="s1">''</span><span class="p">)</span>
|
||||
<span class="lineno">313</span>
|
||||
<span class="lineno">314</span>
|
||||
<span class="lineno">315</span><span class="k">def</span> <span class="nf">_test_tiny_shakespeare</span><span class="p">():</span>
|
||||
<span class="lineno">316</span> <span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">lab</span>
|
||||
<span class="lineno">317</span> <span class="n">_</span> <span class="o">=</span> <span class="n">TextFileDataset</span><span class="p">(</span><span class="n">lab</span><span class="o">.</span><span class="n">get_data_path</span><span class="p">()</span> <span class="o">/</span> <span class="s1">'tiny_shakespeare.txt'</span><span class="p">,</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="n">x</span><span class="p">),</span>
|
||||
<span class="lineno">318</span> <span class="n">url</span><span class="o">=</span><span class="s1">'https://raw.githubusercontent.com/karpathy/char-rnn/master/data/tinyshakespeare/input.txt'</span><span class="p">)</span>
|
||||
<span class="lineno">319</span>
|
||||
<span class="lineno">320</span>
|
||||
<span class="lineno">321</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">'__main__'</span><span class="p">:</span>
|
||||
<span class="lineno">322</span> <span class="n">_test_tiny_shakespeare</span><span class="p">()</span></pre></div>
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<div class="highlight"><pre><span class="lineno">1</span><span></span><span class="kn">import</span> <span class="nn">torch</span>
|
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<span class="lineno">2</span>
|
||||
<span class="lineno">3</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">BaseConfigs</span><span class="p">,</span> <span class="n">hyperparams</span><span class="p">,</span> <span class="n">option</span></pre></div>
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<div class="highlight"><pre><span class="lineno">6</span><span class="k">class</span> <span class="nc">DeviceInfo</span><span class="p">:</span></pre></div>
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|
||||
<div class="highlight"><pre><span class="lineno">7</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="o">*</span><span class="p">,</span>
|
||||
<span class="lineno">8</span> <span class="n">use_cuda</span><span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
|
||||
<span class="lineno">9</span> <span class="n">cuda_device</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
|
||||
<span class="lineno">10</span> <span class="bp">self</span><span class="o">.</span><span class="n">use_cuda</span> <span class="o">=</span> <span class="n">use_cuda</span>
|
||||
<span class="lineno">11</span> <span class="bp">self</span><span class="o">.</span><span class="n">cuda_device</span> <span class="o">=</span> <span class="n">cuda_device</span>
|
||||
<span class="lineno">12</span> <span class="bp">self</span><span class="o">.</span><span class="n">cuda_count</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">device_count</span><span class="p">()</span>
|
||||
<span class="lineno">13</span>
|
||||
<span class="lineno">14</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_cuda</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">use_cuda</span> <span class="ow">and</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="lineno">15</span> <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_cuda</span><span class="p">:</span>
|
||||
<span class="lineno">16</span> <span class="bp">self</span><span class="o">.</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="s1">'cpu'</span><span class="p">)</span>
|
||||
<span class="lineno">17</span> <span class="k">else</span><span class="p">:</span>
|
||||
<span class="lineno">18</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">cuda_device</span> <span class="o"><</span> <span class="bp">self</span><span class="o">.</span><span class="n">cuda_count</span><span class="p">:</span>
|
||||
<span class="lineno">19</span> <span class="bp">self</span><span class="o">.</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="s1">'cuda'</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">cuda_device</span><span class="p">)</span>
|
||||
<span class="lineno">20</span> <span class="k">else</span><span class="p">:</span>
|
||||
<span class="lineno">21</span> <span class="bp">self</span><span class="o">.</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="s1">'cuda'</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">cuda_count</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-3'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-3'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">23</span> <span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">24</span> <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_cuda</span><span class="p">:</span>
|
||||
<span class="lineno">25</span> <span class="k">return</span> <span class="s2">"CPU"</span>
|
||||
<span class="lineno">26</span>
|
||||
<span class="lineno">27</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">cuda_device</span> <span class="o"><</span> <span class="bp">self</span><span class="o">.</span><span class="n">cuda_count</span><span class="p">:</span>
|
||||
<span class="lineno">28</span> <span class="k">return</span> <span class="sa">f</span><span class="s2">"GPU:</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">cuda_device</span><span class="si">}</span><span class="s2"> - </span><span class="si">{</span><span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">get_device_name</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">cuda_device</span><span class="p">)</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="lineno">29</span> <span class="k">else</span><span class="p">:</span>
|
||||
<span class="lineno">30</span> <span class="k">return</span> <span class="p">(</span><span class="sa">f</span><span class="s2">"GPU:</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">cuda_count</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="mi">1</span><span class="si">}</span><span class="s2">(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">cuda_device</span><span class="si">}</span><span class="s2">) "</span>
|
||||
<span class="lineno">31</span> <span class="sa">f</span><span class="s2">"- </span><span class="si">{</span><span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">get_device_name</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">cuda_count</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="mi">1</span><span class="p">)</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-4'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-4'>#</a>
|
||||
</div>
|
||||
<p> This is a configurable module to get a single device to train model on. It can pick up CUDA devices and it will fall back to CPU if they are not available.</p>
|
||||
<p>It has other small advantages such as being able to view the actual device name on configurations view of <code class="highlight"><span></span><span class="n">labml</span> <span class="n">app</span> <span class="o"><</span><span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">labmlai</span><span class="o">/</span><span class="n">labml</span><span class="o">/</span><span class="n">tree</span><span class="o">/</span><span class="n">master</span><span class="o">/</span><span class="n">app</span><span class="o">></span></code>
|
||||
_</p>
|
||||
<p>Arguments: cuda_device (int): The CUDA device number. Defaults to <code class="highlight"><span></span></code>
|
||||
0<code class="highlight"><span></span></code>
|
||||
. use_cuda (bool): Whether to use CUDA devices. Defaults to <code class="highlight"><span></span></code>
|
||||
True<code class="highlight"><span></span></code>
|
||||
.</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">34</span><span class="k">class</span> <span class="nc">DeviceConfigs</span><span class="p">(</span><span class="n">BaseConfigs</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-5'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-5'>#</a>
|
||||
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|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">47</span> <span class="n">cuda_device</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="lineno">48</span> <span class="n">use_cuda</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span>
|
||||
<span class="lineno">49</span>
|
||||
<span class="lineno">50</span> <span class="n">device_info</span><span class="p">:</span> <span class="n">DeviceInfo</span>
|
||||
<span class="lineno">51</span>
|
||||
<span class="lineno">52</span> <span class="n">device</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-6'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-6'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">54</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="lineno">55</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">_primary</span><span class="o">=</span><span class="s1">'device'</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-7'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-7'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">58</span><span class="nd">@option</span><span class="p">(</span><span class="n">DeviceConfigs</span><span class="o">.</span><span class="n">device</span><span class="p">)</span>
|
||||
<span class="lineno">59</span><span class="k">def</span> <span class="nf">_device</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">DeviceConfigs</span><span class="p">):</span>
|
||||
<span class="lineno">60</span> <span class="k">return</span> <span class="n">c</span><span class="o">.</span><span class="n">device_info</span><span class="o">.</span><span class="n">device</span>
|
||||
<span class="lineno">61</span>
|
||||
<span class="lineno">62</span>
|
||||
<span class="lineno">63</span><span class="n">hyperparams</span><span class="p">(</span><span class="n">DeviceConfigs</span><span class="o">.</span><span class="n">cuda_device</span><span class="p">,</span> <span class="n">DeviceConfigs</span><span class="o">.</span><span class="n">use_cuda</span><span class="p">,</span>
|
||||
<span class="lineno">64</span> <span class="n">is_hyperparam</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
|
||||
<span class="lineno">65</span>
|
||||
<span class="lineno">66</span>
|
||||
<span class="lineno">67</span><span class="nd">@option</span><span class="p">(</span><span class="n">DeviceConfigs</span><span class="o">.</span><span class="n">device_info</span><span class="p">)</span>
|
||||
<span class="lineno">68</span><span class="k">def</span> <span class="nf">_device_info</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">DeviceConfigs</span><span class="p">):</span>
|
||||
<span class="lineno">69</span> <span class="k">return</span> <span class="n">DeviceInfo</span><span class="p">(</span><span class="n">use_cuda</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">use_cuda</span><span class="p">,</span>
|
||||
<span class="lineno">70</span> <span class="n">cuda_device</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">cuda_device</span><span class="p">)</span></pre></div>
|
||||
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|
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|
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<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">1</span><span></span><span class="kn">import</span> <span class="nn">dataclasses</span>
|
||||
<span class="lineno">2</span><span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">ABC</span>
|
||||
<span class="lineno">3</span>
|
||||
<span class="lineno">4</span><span class="kn">import</span> <span class="nn">torch</span>
|
||||
<span class="lineno">5</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">tracker</span></pre></div>
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|
||||
<div class="highlight"><pre><span class="lineno">8</span><span class="k">class</span> <span class="nc">StateModule</span><span class="p">:</span></pre></div>
|
||||
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||||
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|
||||
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||||
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|
||||
<div class="highlight"><pre><span class="lineno">9</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="lineno">10</span> <span class="k">pass</span></pre></div>
|
||||
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||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
<p>def __call__(self): raise NotImplementedError </p>
|
||||
|
||||
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|
||||
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|
||||
<div class="highlight"><pre></pre></div>
|
||||
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|
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|
||||
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|
||||
|
||||
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|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">15</span> <span class="k">def</span> <span class="nf">create_state</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="nb">any</span><span class="p">:</span>
|
||||
<span class="lineno">16</span> <span class="k">raise</span> <span class="ne">NotImplementedError</span></pre></div>
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
<a href='#section-5'>#</a>
|
||||
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|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">18</span> <span class="k">def</span> <span class="nf">set_state</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">:</span> <span class="nb">any</span><span class="p">):</span>
|
||||
<span class="lineno">19</span> <span class="k">raise</span> <span class="ne">NotImplementedError</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-6'>
|
||||
<div class='docs'>
|
||||
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|
||||
<a href='#section-6'>#</a>
|
||||
</div>
|
||||
|
||||
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|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">21</span> <span class="k">def</span> <span class="nf">on_epoch_start</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">22</span> <span class="k">raise</span> <span class="ne">NotImplementedError</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-7'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-7'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">24</span> <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">25</span> <span class="k">raise</span> <span class="ne">NotImplementedError</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-8'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-8'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">28</span><span class="k">class</span> <span class="nc">Metric</span><span class="p">(</span><span class="n">StateModule</span><span class="p">,</span> <span class="n">ABC</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>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">29</span> <span class="k">def</span> <span class="nf">track</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">30</span> <span class="k">pass</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-10'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-10'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">33</span><span class="nd">@dataclasses</span><span class="o">.</span><span class="n">dataclass</span>
|
||||
<span class="lineno">34</span><span class="k">class</span> <span class="nc">AccuracyState</span><span class="p">:</span>
|
||||
<span class="lineno">35</span> <span class="n">samples</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="lineno">36</span> <span class="n">correct</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="lineno">37</span>
|
||||
<span class="lineno">38</span> <span class="k">def</span> <span class="nf">reset</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">39</span> <span class="bp">self</span><span class="o">.</span><span class="n">samples</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="lineno">40</span> <span class="bp">self</span><span class="o">.</span><span class="n">correct</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="lineno">41</span>
|
||||
<span class="lineno">42</span>
|
||||
<span class="lineno">43</span><span class="k">class</span> <span class="nc">Accuracy</span><span class="p">(</span><span class="n">Metric</span><span class="p">):</span>
|
||||
<span class="lineno">44</span> <span class="n">data</span><span class="p">:</span> <span class="n">AccuracyState</span>
|
||||
<span class="lineno">45</span>
|
||||
<span class="lineno">46</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">ignore_index</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span><span class="p">):</span>
|
||||
<span class="lineno">47</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
|
||||
<span class="lineno">48</span> <span class="bp">self</span><span class="o">.</span><span class="n">ignore_index</span> <span class="o">=</span> <span class="n">ignore_index</span>
|
||||
<span class="lineno">49</span>
|
||||
<span class="lineno">50</span> <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">output</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">target</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
|
||||
<span class="lineno">51</span> <span class="n">output</span> <span class="o">=</span> <span class="n">output</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">output</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
|
||||
<span class="lineno">52</span> <span class="n">target</span> <span class="o">=</span> <span class="n">target</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span>
|
||||
<span class="lineno">53</span> <span class="n">pred</span> <span class="o">=</span> <span class="n">output</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
|
||||
<span class="lineno">54</span> <span class="n">mask</span> <span class="o">=</span> <span class="n">target</span> <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">ignore_index</span>
|
||||
<span class="lineno">55</span> <span class="n">pred</span><span class="o">.</span><span class="n">masked_fill_</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">ignore_index</span><span class="p">)</span>
|
||||
<span class="lineno">56</span> <span class="n">n_masked</span> <span class="o">=</span> <span class="n">mask</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">57</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">correct</span> <span class="o">+=</span> <span class="n">pred</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">target</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="o">-</span> <span class="n">n_masked</span>
|
||||
<span class="lineno">58</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">samples</span> <span class="o">+=</span> <span class="nb">len</span><span class="p">(</span><span class="n">target</span><span class="p">)</span> <span class="o">-</span> <span class="n">n_masked</span>
|
||||
<span class="lineno">59</span>
|
||||
<span class="lineno">60</span> <span class="k">def</span> <span class="nf">create_state</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">61</span> <span class="k">return</span> <span class="n">AccuracyState</span><span class="p">()</span>
|
||||
<span class="lineno">62</span>
|
||||
<span class="lineno">63</span> <span class="k">def</span> <span class="nf">set_state</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">:</span> <span class="nb">any</span><span class="p">):</span>
|
||||
<span class="lineno">64</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="n">data</span>
|
||||
<span class="lineno">65</span>
|
||||
<span class="lineno">66</span> <span class="k">def</span> <span class="nf">on_epoch_start</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">67</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">reset</span><span class="p">()</span>
|
||||
<span class="lineno">68</span>
|
||||
<span class="lineno">69</span> <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">70</span> <span class="bp">self</span><span class="o">.</span><span class="n">track</span><span class="p">()</span>
|
||||
<span class="lineno">71</span>
|
||||
<span class="lineno">72</span> <span class="k">def</span> <span class="nf">track</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">73</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">samples</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
||||
<span class="lineno">74</span> <span class="k">return</span>
|
||||
<span class="lineno">75</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s2">"accuracy."</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">correct</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">samples</span><span class="p">)</span>
|
||||
<span class="lineno">76</span>
|
||||
<span class="lineno">77</span>
|
||||
<span class="lineno">78</span><span class="k">class</span> <span class="nc">AccuracyDirect</span><span class="p">(</span><span class="n">Accuracy</span><span class="p">):</span>
|
||||
<span class="lineno">79</span> <span class="n">data</span><span class="p">:</span> <span class="n">AccuracyState</span>
|
||||
<span class="lineno">80</span>
|
||||
<span class="lineno">81</span> <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">output</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">target</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
|
||||
<span class="lineno">82</span> <span class="n">output</span> <span class="o">=</span> <span class="n">output</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span>
|
||||
<span class="lineno">83</span> <span class="n">target</span> <span class="o">=</span> <span class="n">target</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span>
|
||||
<span class="lineno">84</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">correct</span> <span class="o">+=</span> <span class="n">output</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">target</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">85</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">samples</span> <span class="o">+=</span> <span class="nb">len</span><span class="p">(</span><span class="n">target</span><span class="p">)</span></pre></div>
|
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<a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/helpers/optimizer.py" target="_blank">
|
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View code on Github</a>
|
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<a href='#section-0'>#</a>
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</div>
|
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<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">1</span><span></span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Tuple</span>
|
||||
<span class="lineno">2</span>
|
||||
<span class="lineno">3</span><span class="kn">import</span> <span class="nn">torch</span>
|
||||
<span class="lineno">4</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">tracker</span>
|
||||
<span class="lineno">5</span>
|
||||
<span class="lineno">6</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">BaseConfigs</span><span class="p">,</span> <span class="n">option</span><span class="p">,</span> <span class="n">meta_config</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-1'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-1'>#</a>
|
||||
</div>
|
||||
<p> This creates a configurable optimizer.</p>
|
||||
<p>Arguments: learning_rate (float): Learning rate of the optimizer. Defaults to <code class="highlight"><span></span></code>
|
||||
0.01<code class="highlight"><span></span></code>
|
||||
. momentum (float): Momentum of the optimizer. Defaults to <code class="highlight"><span></span></code>
|
||||
0.5<code class="highlight"><span></span></code>
|
||||
. parameters: Model parameters to optimize. d_model (int): Embedding size of the model (for Noam optimizer). betas (Tuple<a href="float, float">float, float</a>): Betas for Adam optimizer. Defaults to <code class="highlight"><span></span></code>
|
||||
(0.9, 0.999)<code class="highlight"><span></span></code>
|
||||
. eps (float): Epsilon for Adam/RMSProp optimizers. Defaults to <code class="highlight"><span></span></code>
|
||||
1e-8<code class="highlight"><span></span></code>
|
||||
. step_factor (int): Step factor for Noam optimizer. Defaults to <code class="highlight"><span></span></code>
|
||||
1024<code class="highlight"><span></span></code>
|
||||
.</p>
|
||||
<p>Also there is a better (more options) implementation in <code class="highlight"><span></span></code>
|
||||
labml_nn<code class="highlight"><span></span></code>
|
||||
. <code class="highlight"><span></span><span class="n">We</span> <span class="n">recommend</span> <span class="n">using</span> <span class="n">that</span> <span class="o"><</span><span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">nn</span><span class="o">.</span><span class="n">labml</span><span class="o">.</span><span class="n">ai</span><span class="o">/</span><span class="n">optimizers</span><span class="o">/</span><span class="n">configs</span><span class="o">.</span><span class="n">html</span><span class="o">></span></code>
|
||||
_.</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">9</span><span class="k">class</span> <span class="nc">OptimizerConfigs</span><span class="p">(</span><span class="n">BaseConfigs</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">26</span> <span class="n">optimizer</span><span class="p">:</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="lineno">27</span> <span class="n">learning_rate</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.01</span>
|
||||
<span class="lineno">28</span> <span class="n">momentum</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span>
|
||||
<span class="lineno">29</span> <span class="n">parameters</span><span class="p">:</span> <span class="nb">any</span>
|
||||
<span class="lineno">30</span> <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span>
|
||||
<span class="lineno">31</span> <span class="n">betas</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mf">0.9</span><span class="p">,</span> <span class="mf">0.999</span><span class="p">)</span>
|
||||
<span class="lineno">32</span> <span class="n">eps</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1e-8</span>
|
||||
<span class="lineno">33</span> <span class="n">step_factor</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1024</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-3'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-3'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">35</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="lineno">36</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">_primary</span><span class="o">=</span><span class="s1">'optimizer'</span><span class="p">)</span>
|
||||
<span class="lineno">37</span>
|
||||
<span class="lineno">38</span>
|
||||
<span class="lineno">39</span><span class="n">meta_config</span><span class="p">(</span><span class="n">OptimizerConfigs</span><span class="o">.</span><span class="n">parameters</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-4'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-4'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">42</span><span class="nd">@option</span><span class="p">(</span><span class="n">OptimizerConfigs</span><span class="o">.</span><span class="n">optimizer</span><span class="p">,</span> <span class="s1">'SGD'</span><span class="p">)</span>
|
||||
<span class="lineno">43</span><span class="k">def</span> <span class="nf">sgd_optimizer</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">OptimizerConfigs</span><span class="p">):</span>
|
||||
<span class="lineno">44</span> <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">optim</span><span class="o">.</span><span class="n">SGD</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">parameters</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">learning_rate</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">momentum</span><span class="p">)</span>
|
||||
<span class="lineno">45</span>
|
||||
<span class="lineno">46</span>
|
||||
<span class="lineno">47</span><span class="nd">@option</span><span class="p">(</span><span class="n">OptimizerConfigs</span><span class="o">.</span><span class="n">optimizer</span><span class="p">,</span> <span class="s1">'Adam'</span><span class="p">)</span>
|
||||
<span class="lineno">48</span><span class="k">def</span> <span class="nf">adam_optimizer</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">OptimizerConfigs</span><span class="p">):</span>
|
||||
<span class="lineno">49</span> <span class="k">return</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">c</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">c</span><span class="o">.</span><span class="n">learning_rate</span><span class="p">,</span>
|
||||
<span class="lineno">50</span> <span class="n">betas</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">betas</span><span class="p">,</span> <span class="n">eps</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">eps</span><span class="p">)</span>
|
||||
<span class="lineno">51</span>
|
||||
<span class="lineno">52</span>
|
||||
<span class="lineno">53</span><span class="k">class</span> <span class="nc">NoamOpt</span><span class="p">:</span>
|
||||
<span class="lineno">54</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">model_size</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">learning_rate</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span> <span class="n">warmup</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">step_factor</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">):</span>
|
||||
<span class="lineno">55</span> <span class="bp">self</span><span class="o">.</span><span class="n">step_factor</span> <span class="o">=</span> <span class="n">step_factor</span>
|
||||
<span class="lineno">56</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span> <span class="o">=</span> <span class="n">optimizer</span>
|
||||
<span class="lineno">57</span> <span class="bp">self</span><span class="o">.</span><span class="n">warmup</span> <span class="o">=</span> <span class="n">warmup</span>
|
||||
<span class="lineno">58</span> <span class="bp">self</span><span class="o">.</span><span class="n">learning_rate</span> <span class="o">=</span> <span class="n">learning_rate</span>
|
||||
<span class="lineno">59</span> <span class="bp">self</span><span class="o">.</span><span class="n">model_size</span> <span class="o">=</span> <span class="n">model_size</span>
|
||||
<span class="lineno">60</span> <span class="bp">self</span><span class="o">.</span><span class="n">_rate</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="lineno">61</span>
|
||||
<span class="lineno">62</span> <span class="k">def</span> <span class="nf">step</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">63</span> <span class="n">rate</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rate</span><span class="p">(</span><span class="n">tracker</span><span class="o">.</span><span class="n">get_global_step</span><span class="p">()</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">step_factor</span><span class="p">)</span>
|
||||
<span class="lineno">64</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">param_groups</span><span class="p">:</span>
|
||||
<span class="lineno">65</span> <span class="n">p</span><span class="p">[</span><span class="s1">'lr'</span><span class="p">]</span> <span class="o">=</span> <span class="n">rate</span>
|
||||
<span class="lineno">66</span> <span class="bp">self</span><span class="o">.</span><span class="n">_rate</span> <span class="o">=</span> <span class="n">rate</span>
|
||||
<span class="lineno">67</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>
|
||||
<span class="lineno">68</span>
|
||||
<span class="lineno">69</span> <span class="k">def</span> <span class="nf">rate</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">step</span><span class="p">):</span>
|
||||
<span class="lineno">70</span> <span class="n">factor</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model_size</span> <span class="o">**</span> <span class="p">(</span><span class="o">-</span><span class="mf">0.5</span><span class="p">)</span> <span class="o">*</span> <span class="nb">min</span><span class="p">(</span><span class="n">step</span> <span class="o">**</span> <span class="p">(</span><span class="o">-</span><span class="mf">0.5</span><span class="p">),</span> <span class="n">step</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">warmup</span> <span class="o">**</span> <span class="p">(</span><span class="o">-</span><span class="mf">1.5</span><span class="p">))</span>
|
||||
<span class="lineno">71</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">learning_rate</span> <span class="o">*</span> <span class="n">factor</span>
|
||||
<span class="lineno">72</span>
|
||||
<span class="lineno">73</span> <span class="k">def</span> <span class="nf">zero_grad</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">74</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>
|
||||
<span class="lineno">75</span>
|
||||
<span class="lineno">76</span>
|
||||
<span class="lineno">77</span><span class="nd">@option</span><span class="p">(</span><span class="n">OptimizerConfigs</span><span class="o">.</span><span class="n">optimizer</span><span class="p">,</span> <span class="s1">'Noam'</span><span class="p">)</span>
|
||||
<span class="lineno">78</span><span class="k">def</span> <span class="nf">noam_optimizer</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">OptimizerConfigs</span><span class="p">):</span>
|
||||
<span class="lineno">79</span> <span class="n">optimizer</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">c</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">0.0</span><span class="p">,</span> <span class="n">betas</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">betas</span><span class="p">,</span> <span class="n">eps</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">eps</span><span class="p">)</span>
|
||||
<span class="lineno">80</span> <span class="k">return</span> <span class="n">NoamOpt</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">d_model</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2000</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">step_factor</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">)</span>
|
||||
<span class="lineno">81</span>
|
||||
<span class="lineno">82</span>
|
||||
<span class="lineno">83</span><span class="k">def</span> <span class="nf">_test_noam_optimizer</span><span class="p">():</span>
|
||||
<span class="lineno">84</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">85</span> <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||
<span class="lineno">86</span>
|
||||
<span class="lineno">87</span> <span class="n">opts</span> <span class="o">=</span> <span class="p">[</span><span class="n">NoamOpt</span><span class="p">(</span><span class="mi">512</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">4000</span><span class="p">,</span> <span class="kc">None</span><span class="p">),</span>
|
||||
<span class="lineno">88</span> <span class="n">NoamOpt</span><span class="p">(</span><span class="mi">512</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">8000</span><span class="p">,</span> <span class="kc">None</span><span class="p">),</span>
|
||||
<span class="lineno">89</span> <span class="n">NoamOpt</span><span class="p">(</span><span class="mi">2048</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2000</span><span class="p">,</span> <span class="kc">None</span><span class="p">)]</span>
|
||||
<span class="lineno">90</span> <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20000</span><span class="p">),</span> <span class="p">[[</span><span class="n">opt</span><span class="o">.</span><span class="n">rate</span><span class="p">(</span><span class="n">i</span><span class="p">)</span> <span class="k">for</span> <span class="n">opt</span> <span class="ow">in</span> <span class="n">opts</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20000</span><span class="p">)])</span>
|
||||
<span class="lineno">91</span> <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s2">"512:4000"</span><span class="p">,</span> <span class="s2">"512:8000"</span><span class="p">,</span> <span class="s2">"256:4000"</span><span class="p">])</span>
|
||||
<span class="lineno">92</span> <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Optimizer"</span><span class="p">)</span>
|
||||
<span class="lineno">93</span> <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
|
||||
<span class="lineno">94</span>
|
||||
<span class="lineno">95</span>
|
||||
<span class="lineno">96</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">'__main__'</span><span class="p">:</span>
|
||||
<span class="lineno">97</span> <span class="n">_test_noam_optimizer</span><span class="p">()</span></pre></div>
|
||||
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|
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<a href='#section-0'>#</a>
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</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">1</span><span></span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">List</span></pre></div>
|
||||
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</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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||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">4</span><span class="k">class</span> <span class="nc">Schedule</span><span class="p">:</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-2'>
|
||||
<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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</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">5</span> <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
|
||||
<span class="lineno">6</span> <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">()</span></pre></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>
|
||||
</div>
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|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">9</span><span class="k">class</span> <span class="nc">Flat</span><span class="p">(</span><span class="n">Schedule</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-4'>
|
||||
<div class='docs'>
|
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<div class='section-link'>
|
||||
<a href='#section-4'>#</a>
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</div>
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</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">10</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">value</span><span class="p">):</span>
|
||||
<span class="lineno">11</span> <span class="bp">self</span><span class="o">.</span><span class="n">__value</span> <span class="o">=</span> <span class="n">value</span></pre></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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</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">13</span> <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
|
||||
<span class="lineno">14</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">__value</span></pre></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 class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">16</span> <span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">17</span> <span class="k">return</span> <span class="sa">f</span><span class="s2">"Schedule(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">__value</span><span class="si">}</span><span class="s2">)"</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-7'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-7'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">20</span><span class="k">class</span> <span class="nc">Dynamic</span><span class="p">(</span><span class="n">Schedule</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>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">21</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">value</span><span class="p">):</span>
|
||||
<span class="lineno">22</span> <span class="bp">self</span><span class="o">.</span><span class="n">__value</span> <span class="o">=</span> <span class="n">value</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-9'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-9'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">24</span> <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
|
||||
<span class="lineno">25</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">__value</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-10'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-10'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">27</span> <span class="k">def</span> <span class="nf">update</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
|
||||
<span class="lineno">28</span> <span class="bp">self</span><span class="o">.</span><span class="n">__value</span> <span class="o">=</span> <span class="n">value</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-11'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-11'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">30</span> <span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">31</span> <span class="k">return</span> <span class="s2">"Dynamic"</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-12'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-12'>#</a>
|
||||
</div>
|
||||
<h2>Piecewise schedule</h2>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">34</span><span class="k">class</span> <span class="nc">Piecewise</span><span class="p">(</span><span class="n">Schedule</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-13'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-13'>#</a>
|
||||
</div>
|
||||
<h3>Initialize</h3>
|
||||
<p><code class="highlight"><span></span><span class="n">endpoints</span></code>
|
||||
is list of pairs <code class="highlight"><span></span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span></code>
|
||||
. The values between endpoints are linearly interpolated. <code class="highlight"><span></span><span class="n">y</span></code>
|
||||
values outside the range covered by <code class="highlight"><span></span><span class="n">x</span></code>
|
||||
are <code class="highlight"><span></span><span class="n">outside_value</span></code>
|
||||
.</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">39</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">endpoints</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="nb">float</span><span class="p">]],</span> <span class="n">outside_value</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="kc">None</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><code class="highlight"><span></span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span></code>
|
||||
pairs should be sorted </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">50</span> <span class="n">indexes</span> <span class="o">=</span> <span class="p">[</span><span class="n">e</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="n">endpoints</span><span class="p">]</span>
|
||||
<span class="lineno">51</span> <span class="k">assert</span> <span class="n">indexes</span> <span class="o">==</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">indexes</span><span class="p">)</span>
|
||||
<span class="lineno">52</span>
|
||||
<span class="lineno">53</span> <span class="bp">self</span><span class="o">.</span><span class="n">_outside_value</span> <span class="o">=</span> <span class="n">outside_value</span>
|
||||
<span class="lineno">54</span> <span class="bp">self</span><span class="o">.</span><span class="n">_endpoints</span> <span class="o">=</span> <span class="n">endpoints</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-15'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-15'>#</a>
|
||||
</div>
|
||||
<h3>Find <code class="highlight"><span></span><span class="n">y</span></code>
|
||||
for given <code class="highlight"><span></span><span class="n">x</span></code>
|
||||
</h3>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">56</span> <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</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>iterate through each segment </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">62</span> <span class="k">for</span> <span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">y1</span><span class="p">),</span> <span class="p">(</span><span class="n">x2</span><span class="p">,</span> <span class="n">y2</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_endpoints</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">_endpoints</span><span class="p">[</span><span class="mi">1</span><span class="p">:]):</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>interpolate if <code class="highlight"><span></span><span class="n">x</span></code>
|
||||
is within the segment </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">64</span> <span class="k">if</span> <span class="n">x1</span> <span class="o"><=</span> <span class="n">x</span> <span class="o"><</span> <span class="n">x2</span><span class="p">:</span>
|
||||
<span class="lineno">65</span> <span class="n">dx</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="n">x1</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="n">x2</span> <span class="o">-</span> <span class="n">x1</span><span class="p">)</span>
|
||||
<span class="lineno">66</span> <span class="k">return</span> <span class="n">y1</span> <span class="o">+</span> <span class="n">dx</span> <span class="o">*</span> <span class="p">(</span><span class="n">y2</span> <span class="o">-</span> <span class="n">y1</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>return outside value otherwise </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">69</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_outside_value</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-19'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-19'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">71</span> <span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">72</span> <span class="n">endpoints</span> <span class="o">=</span> <span class="s2">", "</span><span class="o">.</span><span class="n">join</span><span class="p">([</span><span class="sa">f</span><span class="s2">"(</span><span class="si">{</span><span class="n">e</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s2">, </span><span class="si">{</span><span class="n">e</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="si">}</span><span class="s2">)"</span> <span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_endpoints</span><span class="p">])</span>
|
||||
<span class="lineno">73</span> <span class="k">return</span> <span class="sa">f</span><span class="s2">"Schedule[</span><span class="si">{</span><span class="n">endpoints</span><span class="si">}</span><span class="s2">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_outside_value</span><span class="si">}</span><span class="s2">]"</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-20'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-20'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">76</span><span class="k">class</span> <span class="nc">RelativePiecewise</span><span class="p">(</span><span class="n">Piecewise</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>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">77</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">relative_endpoits</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="nb">float</span><span class="p">]],</span> <span class="n">total_steps</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
|
||||
<span class="lineno">78</span> <span class="n">endpoints</span> <span class="o">=</span> <span class="p">[]</span>
|
||||
<span class="lineno">79</span> <span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="n">relative_endpoits</span><span class="p">:</span>
|
||||
<span class="lineno">80</span> <span class="n">index</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">total_steps</span> <span class="o">*</span> <span class="n">e</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
|
||||
<span class="lineno">81</span> <span class="k">assert</span> <span class="n">index</span> <span class="o">>=</span> <span class="mi">0</span>
|
||||
<span class="lineno">82</span> <span class="n">endpoints</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">index</span><span class="p">,</span> <span class="n">e</span><span class="p">[</span><span class="mi">1</span><span class="p">]))</span>
|
||||
<span class="lineno">83</span>
|
||||
<span class="lineno">84</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">endpoints</span><span class="p">,</span> <span class="n">outside_value</span><span class="o">=</span><span class="n">relative_endpoits</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">][</span><span class="mi">1</span><span class="p">])</span></pre></div>
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|
||||
<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">helpers</a>
|
||||
</p>
|
||||
<p>
|
||||
<a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations" target="_blank">
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<img alt="Github"
|
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src="https://img.shields.io/github/stars/labmlai/annotated_deep_learning_paper_implementations?style=social"
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src="https://img.shields.io/twitter/follow/labmlai?style=social"
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style="max-width:100%;"/></a>
|
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</p>
|
||||
<p>
|
||||
<a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/helpers/trainer.py" target="_blank">
|
||||
View code on Github</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">1</span><span></span><span class="kn">import</span> <span class="nn">signal</span>
|
||||
<span class="lineno">2</span><span class="kn">import</span> <span class="nn">typing</span>
|
||||
<span class="lineno">3</span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Callable</span>
|
||||
<span class="lineno">4</span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Collection</span>
|
||||
<span class="lineno">5</span>
|
||||
<span class="lineno">6</span><span class="kn">import</span> <span class="nn">torch.optim</span>
|
||||
<span class="lineno">7</span><span class="kn">import</span> <span class="nn">torch.optim</span>
|
||||
<span class="lineno">8</span><span class="kn">import</span> <span class="nn">torch.utils.data</span>
|
||||
<span class="lineno">9</span><span class="kn">import</span> <span class="nn">torch.utils.data</span>
|
||||
<span class="lineno">10</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">tracker</span><span class="p">,</span> <span class="n">logger</span><span class="p">,</span> <span class="n">monit</span>
|
||||
<span class="lineno">11</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">BaseConfigs</span><span class="p">,</span> <span class="n">meta_config</span><span class="p">,</span> <span class="n">option</span>
|
||||
<span class="lineno">12</span><span class="kn">from</span> <span class="nn">labml.internal.monitor</span> <span class="kn">import</span> <span class="n">Loop</span>
|
||||
<span class="lineno">13</span><span class="kn">from</span> <span class="nn">labml.logger</span> <span class="kn">import</span> <span class="n">Text</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="kn">from</span> <span class="nn">.device</span> <span class="kn">import</span> <span class="n">DeviceConfigs</span>
|
||||
<span class="lineno">16</span><span class="kn">from</span> <span class="nn">.metrics</span> <span class="kn">import</span> <span class="n">StateModule</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">19</span><span class="k">class</span> <span class="nc">TrainingLoopIterator</span><span class="p">(</span><span class="n">Collection</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">20</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">start</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">total</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">step</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]):</span>
|
||||
<span class="lineno">21</span> <span class="bp">self</span><span class="o">.</span><span class="n">step</span> <span class="o">=</span> <span class="n">step</span>
|
||||
<span class="lineno">22</span> <span class="bp">self</span><span class="o">.</span><span class="n">total</span> <span class="o">=</span> <span class="n">total</span>
|
||||
<span class="lineno">23</span> <span class="bp">self</span><span class="o">.</span><span class="n">start</span> <span class="o">=</span> <span class="n">start</span>
|
||||
<span class="lineno">24</span> <span class="bp">self</span><span class="o">.</span><span class="n">i</span> <span class="o">=</span> <span class="kc">None</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-3'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-3'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">26</span> <span class="k">def</span> <span class="fm">__iter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">27</span> <span class="bp">self</span><span class="o">.</span><span class="n">i</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="lineno">28</span> <span class="k">return</span> <span class="bp">self</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-4'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-4'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">30</span> <span class="k">def</span> <span class="fm">__next__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">31</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">step</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="lineno">32</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">i</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="lineno">33</span> <span class="bp">self</span><span class="o">.</span><span class="n">i</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">start</span>
|
||||
<span class="lineno">34</span> <span class="k">else</span><span class="p">:</span>
|
||||
<span class="lineno">35</span> <span class="bp">self</span><span class="o">.</span><span class="n">i</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">step</span>
|
||||
<span class="lineno">36</span> <span class="k">else</span><span class="p">:</span>
|
||||
<span class="lineno">37</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">i</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="lineno">38</span> <span class="bp">self</span><span class="o">.</span><span class="n">i</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="lineno">39</span> <span class="k">else</span><span class="p">:</span>
|
||||
<span class="lineno">40</span> <span class="bp">self</span><span class="o">.</span><span class="n">i</span> <span class="o">+=</span> <span class="mi">1</span>
|
||||
<span class="lineno">41</span>
|
||||
<span class="lineno">42</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">i</span> <span class="o">>=</span> <span class="bp">self</span><span class="o">.</span><span class="n">total</span><span class="p">:</span>
|
||||
<span class="lineno">43</span> <span class="k">raise</span> <span class="ne">StopIteration</span><span class="p">()</span>
|
||||
<span class="lineno">44</span>
|
||||
<span class="lineno">45</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">step</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="lineno">46</span> <span class="k">return</span> <span class="n">tracker</span><span class="o">.</span><span class="n">get_global_step</span><span class="p">()</span>
|
||||
<span class="lineno">47</span> <span class="k">else</span><span class="p">:</span>
|
||||
<span class="lineno">48</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">i</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-5'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-5'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">50</span> <span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="nb">int</span><span class="p">:</span>
|
||||
<span class="lineno">51</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">step</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="lineno">52</span> <span class="k">return</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">total</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">start</span><span class="p">)</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">step</span>
|
||||
<span class="lineno">53</span> <span class="k">else</span><span class="p">:</span>
|
||||
<span class="lineno">54</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">total</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-6'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-6'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">56</span> <span class="k">def</span> <span class="fm">__contains__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="nb">object</span><span class="p">)</span> <span class="o">-></span> <span class="nb">bool</span><span class="p">:</span>
|
||||
<span class="lineno">57</span> <span class="k">return</span> <span class="kc">False</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-7'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-7'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">60</span><span class="k">class</span> <span class="nc">TrainingLoop</span><span class="p">:</span>
|
||||
<span class="lineno">61</span> <span class="n">_iter</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">TrainingLoopIterator</span><span class="p">]</span>
|
||||
<span class="lineno">62</span> <span class="n">__loop</span><span class="p">:</span> <span class="n">Loop</span>
|
||||
<span class="lineno">63</span> <span class="n">__signal_received</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="n">Any</span><span class="p">,</span> <span class="n">Any</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>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">65</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="o">*</span><span class="p">,</span>
|
||||
<span class="lineno">66</span> <span class="n">loop_count</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
|
||||
<span class="lineno">67</span> <span class="n">loop_step</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
|
||||
<span class="lineno">68</span> <span class="n">log_new_line_interval</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
|
||||
<span class="lineno">69</span> <span class="n">log_write_interval</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
|
||||
<span class="lineno">70</span> <span class="n">is_loop_on_interrupt</span><span class="p">:</span> <span class="nb">bool</span><span class="p">):</span>
|
||||
<span class="lineno">71</span> <span class="bp">self</span><span class="o">.</span><span class="n">__loop_count</span> <span class="o">=</span> <span class="n">loop_count</span>
|
||||
<span class="lineno">72</span> <span class="bp">self</span><span class="o">.</span><span class="n">__loop_step</span> <span class="o">=</span> <span class="n">loop_step</span>
|
||||
<span class="lineno">73</span> <span class="bp">self</span><span class="o">.</span><span class="n">__log_new_line_interval</span> <span class="o">=</span> <span class="n">log_new_line_interval</span>
|
||||
<span class="lineno">74</span> <span class="bp">self</span><span class="o">.</span><span class="n">__log_write_interval</span> <span class="o">=</span> <span class="n">log_write_interval</span>
|
||||
<span class="lineno">75</span> <span class="bp">self</span><span class="o">.</span><span class="n">__last_write_step</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="lineno">76</span> <span class="bp">self</span><span class="o">.</span><span class="n">__last_new_line_step</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="lineno">77</span> <span class="bp">self</span><span class="o">.</span><span class="n">__last_save_step</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="lineno">78</span> <span class="bp">self</span><span class="o">.</span><span class="n">__signal_received</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="lineno">79</span> <span class="bp">self</span><span class="o">.</span><span class="n">__is_loop_on_interrupt</span> <span class="o">=</span> <span class="n">is_loop_on_interrupt</span>
|
||||
<span class="lineno">80</span> <span class="bp">self</span><span class="o">.</span><span class="n">_iter</span> <span class="o">=</span> <span class="kc">None</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-9'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-9'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">82</span> <span class="k">def</span> <span class="fm">__iter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">83</span> <span class="bp">self</span><span class="o">.</span><span class="n">_iter</span> <span class="o">=</span> <span class="n">TrainingLoopIterator</span><span class="p">(</span><span class="n">tracker</span><span class="o">.</span><span class="n">get_global_step</span><span class="p">(),</span>
|
||||
<span class="lineno">84</span> <span class="bp">self</span><span class="o">.</span><span class="n">__loop_count</span><span class="p">,</span>
|
||||
<span class="lineno">85</span> <span class="bp">self</span><span class="o">.</span><span class="n">__loop_step</span><span class="p">)</span>
|
||||
<span class="lineno">86</span>
|
||||
<span class="lineno">87</span> <span class="bp">self</span><span class="o">.</span><span class="n">__loop</span> <span class="o">=</span> <span class="n">monit</span><span class="o">.</span><span class="n">loop</span><span class="p">(</span><span class="n">typing</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">Collection</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_iter</span><span class="p">))</span>
|
||||
<span class="lineno">88</span>
|
||||
<span class="lineno">89</span> <span class="nb">iter</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">__loop</span><span class="p">)</span>
|
||||
<span class="lineno">90</span> <span class="k">try</span><span class="p">:</span>
|
||||
<span class="lineno">91</span> <span class="bp">self</span><span class="o">.</span><span class="n">old_handler</span> <span class="o">=</span> <span class="n">signal</span><span class="o">.</span><span class="n">signal</span><span class="p">(</span><span class="n">signal</span><span class="o">.</span><span class="n">SIGINT</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">__handler</span><span class="p">)</span>
|
||||
<span class="lineno">92</span> <span class="k">except</span> <span class="ne">ValueError</span><span class="p">:</span>
|
||||
<span class="lineno">93</span> <span class="k">pass</span>
|
||||
<span class="lineno">94</span> <span class="k">return</span> <span class="bp">self</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-10'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-10'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">96</span> <span class="nd">@property</span>
|
||||
<span class="lineno">97</span> <span class="k">def</span> <span class="nf">idx</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">98</span> <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_iter</span><span class="p">:</span>
|
||||
<span class="lineno">99</span> <span class="k">return</span> <span class="mi">0</span>
|
||||
<span class="lineno">100</span> <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_iter</span><span class="o">.</span><span class="n">i</span><span class="p">:</span>
|
||||
<span class="lineno">101</span> <span class="k">return</span> <span class="mi">0</span>
|
||||
<span class="lineno">102</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">__loop_step</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="lineno">103</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_iter</span><span class="o">.</span><span class="n">i</span>
|
||||
<span class="lineno">104</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_iter</span><span class="o">.</span><span class="n">i</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">__loop_step</span>
|
||||
<span class="lineno">105</span>
|
||||
<span class="lineno">106</span> <span class="k">def</span> <span class="nf">__finish</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">107</span> <span class="k">try</span><span class="p">:</span>
|
||||
<span class="lineno">108</span> <span class="n">signal</span><span class="o">.</span><span class="n">signal</span><span class="p">(</span><span class="n">signal</span><span class="o">.</span><span class="n">SIGINT</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">old_handler</span><span class="p">)</span>
|
||||
<span class="lineno">109</span> <span class="k">except</span> <span class="ne">ValueError</span><span class="p">:</span>
|
||||
<span class="lineno">110</span> <span class="k">pass</span>
|
||||
<span class="lineno">111</span> <span class="n">tracker</span><span class="o">.</span><span class="n">save</span><span class="p">()</span>
|
||||
<span class="lineno">112</span> <span class="n">tracker</span><span class="o">.</span><span class="n">new_line</span><span class="p">()</span>
|
||||
<span class="lineno">113</span>
|
||||
<span class="lineno">114</span> <span class="k">def</span> <span class="fm">__next__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">115</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">__signal_received</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="lineno">116</span> <span class="n">logger</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="s1">'</span><span class="se">\n</span><span class="s1">Killing Loop.'</span><span class="p">,</span> <span class="n">Text</span><span class="o">.</span><span class="n">danger</span><span class="p">)</span>
|
||||
<span class="lineno">117</span> <span class="n">monit</span><span class="o">.</span><span class="n">finish_loop</span><span class="p">()</span>
|
||||
<span class="lineno">118</span> <span class="bp">self</span><span class="o">.</span><span class="n">__finish</span><span class="p">()</span>
|
||||
<span class="lineno">119</span> <span class="k">raise</span> <span class="ne">StopIteration</span><span class="p">(</span><span class="s2">"SIGINT"</span><span class="p">)</span>
|
||||
<span class="lineno">120</span>
|
||||
<span class="lineno">121</span> <span class="k">try</span><span class="p">:</span>
|
||||
<span class="lineno">122</span> <span class="n">global_step</span> <span class="o">=</span> <span class="nb">next</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">__loop</span><span class="p">)</span>
|
||||
<span class="lineno">123</span> <span class="k">except</span> <span class="ne">StopIteration</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
|
||||
<span class="lineno">124</span> <span class="bp">self</span><span class="o">.</span><span class="n">__finish</span><span class="p">()</span>
|
||||
<span class="lineno">125</span> <span class="k">raise</span> <span class="n">e</span>
|
||||
<span class="lineno">126</span>
|
||||
<span class="lineno">127</span> <span class="n">tracker</span><span class="o">.</span><span class="n">set_global_step</span><span class="p">(</span><span class="n">global_step</span><span class="p">)</span>
|
||||
<span class="lineno">128</span>
|
||||
<span class="lineno">129</span> <span class="k">if</span> <span class="n">global_step</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">__last_write_step</span> <span class="o">>=</span> <span class="bp">self</span><span class="o">.</span><span class="n">__log_write_interval</span><span class="p">:</span>
|
||||
<span class="lineno">130</span> <span class="n">tracker</span><span class="o">.</span><span class="n">save</span><span class="p">()</span>
|
||||
<span class="lineno">131</span> <span class="bp">self</span><span class="o">.</span><span class="n">__last_write_step</span> <span class="o">=</span> <span class="n">global_step</span>
|
||||
<span class="lineno">132</span> <span class="k">if</span> <span class="n">global_step</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">__last_new_line_step</span> <span class="o">>=</span> <span class="bp">self</span><span class="o">.</span><span class="n">__log_new_line_interval</span><span class="p">:</span>
|
||||
<span class="lineno">133</span> <span class="n">tracker</span><span class="o">.</span><span class="n">new_line</span><span class="p">()</span>
|
||||
<span class="lineno">134</span> <span class="bp">self</span><span class="o">.</span><span class="n">__last_new_line_step</span> <span class="o">=</span> <span class="n">global_step</span>
|
||||
<span class="lineno">135</span>
|
||||
<span class="lineno">136</span> <span class="k">return</span> <span class="n">global_step</span>
|
||||
<span class="lineno">137</span>
|
||||
<span class="lineno">138</span> <span class="k">def</span> <span class="nf">__handler</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sig</span><span class="p">,</span> <span class="n">frame</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>Pass second interrupt without delaying </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">140</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">__signal_received</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="lineno">141</span> <span class="n">logger</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="s1">'</span><span class="se">\n</span><span class="s1">SIGINT received twice. Stopping...'</span><span class="p">,</span> <span class="n">Text</span><span class="o">.</span><span class="n">danger</span><span class="p">)</span>
|
||||
<span class="lineno">142</span> <span class="bp">self</span><span class="o">.</span><span class="n">old_handler</span><span class="p">(</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">__signal_received</span><span class="p">)</span>
|
||||
<span class="lineno">143</span> <span class="k">return</span>
|
||||
<span class="lineno">144</span>
|
||||
<span class="lineno">145</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">__is_loop_on_interrupt</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>Store the interrupt signal for later </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">147</span> <span class="bp">self</span><span class="o">.</span><span class="n">__signal_received</span> <span class="o">=</span> <span class="p">(</span><span class="n">sig</span><span class="p">,</span> <span class="n">frame</span><span class="p">)</span>
|
||||
<span class="lineno">148</span> <span class="n">logger</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="s1">'</span><span class="se">\n</span><span class="s1">SIGINT received. Delaying KeyboardInterrupt.'</span><span class="p">,</span> <span class="n">Text</span><span class="o">.</span><span class="n">danger</span><span class="p">)</span>
|
||||
<span class="lineno">149</span> <span class="k">else</span><span class="p">:</span>
|
||||
<span class="lineno">150</span> <span class="bp">self</span><span class="o">.</span><span class="n">__finish</span><span class="p">()</span>
|
||||
<span class="lineno">151</span> <span class="n">logger</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="s1">'Killing loop...'</span><span class="p">,</span> <span class="n">Text</span><span class="o">.</span><span class="n">danger</span><span class="p">)</span>
|
||||
<span class="lineno">152</span> <span class="bp">self</span><span class="o">.</span><span class="n">old_handler</span><span class="p">(</span><span class="n">sig</span><span class="p">,</span> <span class="n">frame</span><span class="p">)</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-13'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-13'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">154</span> <span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">155</span> <span class="k">return</span> <span class="s2">"LabTrainingLoop"</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-14'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-14'>#</a>
|
||||
</div>
|
||||
<p> This is a configurable training loop. You can extend this class for your configurations if it involves a training loop.</p>
|
||||
<p>>>> for step in conf.training_loop: >>> ...</p>
|
||||
<p>Arguments: loop_count (int): Total number of steps. Defaults to <code class="highlight"><span></span></code>
|
||||
10<code class="highlight"><span></span></code>
|
||||
. loop_step (int): Number of steps to increment per iteration. Defaults to <code class="highlight"><span></span></code>
|
||||
1<code class="highlight"><span></span></code>
|
||||
. log_new_line_interval (int): The interval (in steps) to print a new line to the screen. Defaults to <code class="highlight"><span></span></code>
|
||||
1<code class="highlight"><span></span></code>
|
||||
. log_write_interval (int): The interval (in steps) to call :func:<code class="highlight"><span></span><span class="n">labml</span><span class="o">.</span><span class="n">tracker</span><span class="o">.</span><span class="n">save</span></code>
|
||||
. Defaults to <code class="highlight"><span></span></code>
|
||||
1<code class="highlight"><span></span></code>
|
||||
. is_loop_on_interrupt (bool): Whether to handle keyboard interrupts and wait until a iteration is complete. Defaults to <code class="highlight"><span></span></code>
|
||||
False<code class="highlight"><span></span></code>
|
||||
.</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">158</span><span class="k">class</span> <span class="nc">TrainingLoopConfigs</span><span class="p">(</span><span class="n">BaseConfigs</span><span class="p">):</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-15'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-15'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">176</span> <span class="n">loop_count</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">10</span>
|
||||
<span class="lineno">177</span> <span class="n">loop_step</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span>
|
||||
<span class="lineno">178</span> <span class="n">log_new_line_interval</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span>
|
||||
<span class="lineno">179</span> <span class="n">log_write_interval</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span>
|
||||
<span class="lineno">180</span> <span class="n">is_loop_on_interrupt</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span>
|
||||
<span class="lineno">181</span>
|
||||
<span class="lineno">182</span> <span class="n">training_loop</span><span class="p">:</span> <span class="n">TrainingLoop</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-16'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-16'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">185</span><span class="nd">@option</span><span class="p">(</span><span class="n">TrainingLoopConfigs</span><span class="o">.</span><span class="n">training_loop</span><span class="p">)</span>
|
||||
<span class="lineno">186</span><span class="k">def</span> <span class="nf">_loop_configs</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TrainingLoopConfigs</span><span class="p">):</span>
|
||||
<span class="lineno">187</span> <span class="k">return</span> <span class="n">TrainingLoop</span><span class="p">(</span><span class="n">loop_count</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">loop_count</span><span class="p">,</span>
|
||||
<span class="lineno">188</span> <span class="n">loop_step</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">loop_step</span><span class="p">,</span>
|
||||
<span class="lineno">189</span> <span class="n">log_new_line_interval</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">log_new_line_interval</span><span class="p">,</span>
|
||||
<span class="lineno">190</span> <span class="n">log_write_interval</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">log_write_interval</span><span class="p">,</span>
|
||||
<span class="lineno">191</span> <span class="n">is_loop_on_interrupt</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">is_loop_on_interrupt</span><span class="p">)</span>
|
||||
<span class="lineno">192</span>
|
||||
<span class="lineno">193</span>
|
||||
<span class="lineno">194</span><span class="n">meta_config</span><span class="p">(</span><span class="n">TrainingLoopConfigs</span><span class="o">.</span><span class="n">loop_step</span><span class="p">,</span>
|
||||
<span class="lineno">195</span> <span class="n">TrainingLoopConfigs</span><span class="o">.</span><span class="n">loop_count</span><span class="p">,</span>
|
||||
<span class="lineno">196</span> <span class="n">TrainingLoopConfigs</span><span class="o">.</span><span class="n">log_new_line_interval</span><span class="p">,</span>
|
||||
<span class="lineno">197</span> <span class="n">TrainingLoopConfigs</span><span class="o">.</span><span class="n">log_write_interval</span><span class="p">,</span>
|
||||
<span class="lineno">198</span> <span class="n">TrainingLoopConfigs</span><span class="o">.</span><span class="n">is_loop_on_interrupt</span><span class="p">)</span>
|
||||
<span class="lineno">199</span>
|
||||
<span class="lineno">200</span>
|
||||
<span class="lineno">201</span><span class="k">class</span> <span class="nc">ModeState</span><span class="p">:</span>
|
||||
<span class="lineno">202</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="lineno">203</span> <span class="bp">self</span><span class="o">.</span><span class="n">_rollback_stack</span> <span class="o">=</span> <span class="p">[]</span>
|
||||
<span class="lineno">204</span>
|
||||
<span class="lineno">205</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_train</span> <span class="o">=</span> <span class="kc">False</span>
|
||||
<span class="lineno">206</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_optimize</span> <span class="o">=</span> <span class="kc">False</span>
|
||||
<span class="lineno">207</span>
|
||||
<span class="lineno">208</span> <span class="k">def</span> <span class="nf">_enter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mode</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">any</span><span class="p">]):</span>
|
||||
<span class="lineno">209</span> <span class="n">rollback</span> <span class="o">=</span> <span class="p">{}</span>
|
||||
<span class="lineno">210</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">mode</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||||
<span class="lineno">211</span> <span class="k">if</span> <span class="n">v</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="lineno">212</span> <span class="k">continue</span>
|
||||
<span class="lineno">213</span> <span class="n">rollback</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">k</span><span class="p">)</span>
|
||||
<span class="lineno">214</span> <span class="nb">setattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span><span class="p">)</span>
|
||||
<span class="lineno">215</span>
|
||||
<span class="lineno">216</span> <span class="bp">self</span><span class="o">.</span><span class="n">_rollback_stack</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">rollback</span><span class="p">)</span>
|
||||
<span class="lineno">217</span>
|
||||
<span class="lineno">218</span> <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_rollback_stack</span><span class="p">)</span>
|
||||
<span class="lineno">219</span>
|
||||
<span class="lineno">220</span> <span class="k">def</span> <span class="nf">_exit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
|
||||
<span class="lineno">221</span> <span class="k">assert</span> <span class="n">n</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_rollback_stack</span><span class="p">)</span>
|
||||
<span class="lineno">222</span>
|
||||
<span class="lineno">223</span> <span class="n">rollback</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_rollback_stack</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
|
||||
<span class="lineno">224</span> <span class="bp">self</span><span class="o">.</span><span class="n">_rollback_stack</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span>
|
||||
<span class="lineno">225</span>
|
||||
<span class="lineno">226</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">rollback</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||||
<span class="lineno">227</span> <span class="nb">setattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span><span class="p">)</span>
|
||||
<span class="lineno">228</span>
|
||||
<span class="lineno">229</span> <span class="k">def</span> <span class="nf">update</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span>
|
||||
<span class="lineno">230</span> <span class="n">is_train</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
|
||||
<span class="lineno">231</span> <span class="n">is_optimize</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span>
|
||||
<span class="lineno">232</span> <span class="k">return</span> <span class="n">Mode</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
|
||||
<span class="lineno">233</span> <span class="n">is_train</span><span class="o">=</span><span class="n">is_train</span><span class="p">,</span>
|
||||
<span class="lineno">234</span> <span class="n">is_optimize</span><span class="o">=</span><span class="n">is_optimize</span><span class="p">)</span>
|
||||
<span class="lineno">235</span>
|
||||
<span class="lineno">236</span>
|
||||
<span class="lineno">237</span><span class="k">class</span> <span class="nc">Mode</span><span class="p">:</span>
|
||||
<span class="lineno">238</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">mode</span><span class="p">:</span> <span class="n">ModeState</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">:</span> <span class="nb">any</span><span class="p">):</span>
|
||||
<span class="lineno">239</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span> <span class="o">=</span> <span class="n">mode</span>
|
||||
<span class="lineno">240</span> <span class="bp">self</span><span class="o">.</span><span class="n">update</span> <span class="o">=</span> <span class="p">{}</span>
|
||||
<span class="lineno">241</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||||
<span class="lineno">242</span> <span class="k">if</span> <span class="n">v</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||||
<span class="lineno">243</span> <span class="bp">self</span><span class="o">.</span><span class="n">update</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">v</span>
|
||||
<span class="lineno">244</span>
|
||||
<span class="lineno">245</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span>
|
||||
<span class="lineno">246</span>
|
||||
<span class="lineno">247</span> <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">248</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">_enter</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">update</span><span class="p">)</span>
|
||||
<span class="lineno">249</span>
|
||||
<span class="lineno">250</span> <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">,</span> <span class="n">exc_val</span><span class="p">,</span> <span class="n">exc_tb</span><span class="p">):</span>
|
||||
<span class="lineno">251</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">_exit</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">idx</span><span class="p">)</span>
|
||||
<span class="lineno">252</span>
|
||||
<span class="lineno">253</span>
|
||||
<span class="lineno">254</span><span class="k">class</span> <span class="nc">Trainer</span><span class="p">:</span>
|
||||
<span class="lineno">255</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="o">*</span><span class="p">,</span>
|
||||
<span class="lineno">256</span> <span class="n">name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
|
||||
<span class="lineno">257</span> <span class="n">mode</span><span class="p">:</span> <span class="n">ModeState</span><span class="p">,</span>
|
||||
<span class="lineno">258</span> <span class="n">data_loader</span><span class="p">:</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="lineno">259</span> <span class="n">inner_iterations</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
|
||||
<span class="lineno">260</span> <span class="n">state_modules</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">StateModule</span><span class="p">],</span>
|
||||
<span class="lineno">261</span> <span class="n">is_track_time</span><span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
|
||||
<span class="lineno">262</span> <span class="n">step</span><span class="p">:</span> <span class="n">Callable</span><span class="p">[[</span><span class="nb">any</span><span class="p">,</span> <span class="s1">'BatchIndex'</span><span class="p">],</span> <span class="kc">None</span><span class="p">]):</span>
|
||||
<span class="lineno">263</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_track_time</span> <span class="o">=</span> <span class="n">is_track_time</span>
|
||||
<span class="lineno">264</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span> <span class="o">=</span> <span class="n">mode</span>
|
||||
<span class="lineno">265</span> <span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="n">name</span>
|
||||
<span class="lineno">266</span> <span class="bp">self</span><span class="o">.</span><span class="n">step</span> <span class="o">=</span> <span class="n">step</span>
|
||||
<span class="lineno">267</span> <span class="bp">self</span><span class="o">.</span><span class="n">state_modules</span> <span class="o">=</span> <span class="n">state_modules</span>
|
||||
<span class="lineno">268</span> <span class="bp">self</span><span class="o">.</span><span class="n">__iterable</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="lineno">269</span> <span class="bp">self</span><span class="o">.</span><span class="n">__states</span> <span class="o">=</span> <span class="p">[</span><span class="n">sm</span><span class="o">.</span><span class="n">create_state</span><span class="p">()</span> <span class="k">for</span> <span class="n">sm</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">state_modules</span><span class="p">]</span>
|
||||
<span class="lineno">270</span> <span class="bp">self</span><span class="o">.</span><span class="n">inner_iterations</span> <span class="o">=</span> <span class="n">inner_iterations</span>
|
||||
<span class="lineno">271</span> <span class="bp">self</span><span class="o">.</span><span class="n">data_loader</span> <span class="o">=</span> <span class="n">data_loader</span>
|
||||
<span class="lineno">272</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_index</span> <span class="o">=</span> <span class="n">BatchIndex</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data_loader</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">inner_iterations</span><span class="p">)</span>
|
||||
<span class="lineno">273</span>
|
||||
<span class="lineno">274</span> <span class="k">def</span> <span class="nf">set_data_loader</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_loader</span><span class="p">:</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="lineno">275</span> <span class="bp">self</span><span class="o">.</span><span class="n">data_loader</span> <span class="o">=</span> <span class="n">data_loader</span>
|
||||
<span class="lineno">276</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_index</span> <span class="o">=</span> <span class="n">BatchIndex</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">data_loader</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">inner_iterations</span><span class="p">)</span>
|
||||
<span class="lineno">277</span> <span class="bp">self</span><span class="o">.</span><span class="n">__iterable</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="lineno">278</span>
|
||||
<span class="lineno">279</span> <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">280</span> <span class="k">for</span> <span class="n">sm</span><span class="p">,</span> <span class="n">s</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">state_modules</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">__states</span><span class="p">):</span>
|
||||
<span class="lineno">281</span> <span class="n">sm</span><span class="o">.</span><span class="n">set_state</span><span class="p">(</span><span class="n">s</span><span class="p">)</span>
|
||||
<span class="lineno">282</span>
|
||||
<span class="lineno">283</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">__iterable</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_index</span><span class="o">.</span><span class="n">completed</span><span class="p">:</span>
|
||||
<span class="lineno">284</span> <span class="bp">self</span><span class="o">.</span><span class="n">__iterable</span> <span class="o">=</span> <span class="nb">iter</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data_loader</span><span class="p">)</span>
|
||||
<span class="lineno">285</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_index</span><span class="o">.</span><span class="n">reset</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data_loader</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">inner_iterations</span><span class="p">)</span>
|
||||
<span class="lineno">286</span> <span class="k">for</span> <span class="n">sm</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">state_modules</span><span class="p">:</span>
|
||||
<span class="lineno">287</span> <span class="n">sm</span><span class="o">.</span><span class="n">on_epoch_start</span><span class="p">()</span>
|
||||
<span class="lineno">288</span> <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">is_train</span><span class="p">):</span>
|
||||
<span class="lineno">289</span> <span class="bp">self</span><span class="o">.</span><span class="n">__iterate</span><span class="p">()</span>
|
||||
<span class="lineno">290</span>
|
||||
<span class="lineno">291</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_index</span><span class="o">.</span><span class="n">completed</span><span class="p">:</span>
|
||||
<span class="lineno">292</span> <span class="k">for</span> <span class="n">sm</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">state_modules</span><span class="p">:</span>
|
||||
<span class="lineno">293</span> <span class="n">sm</span><span class="o">.</span><span class="n">on_epoch_end</span><span class="p">()</span>
|
||||
<span class="lineno">294</span>
|
||||
<span class="lineno">295</span> <span class="k">def</span> <span class="nf">__iterate</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">296</span> <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</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="n">is_partial</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">is_track</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">is_track_time</span><span class="p">):</span>
|
||||
<span class="lineno">297</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_index</span><span class="o">.</span><span class="n">idx</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
||||
<span class="lineno">298</span> <span class="n">monit</span><span class="o">.</span><span class="n">progress</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
|
||||
<span class="lineno">299</span> <span class="k">while</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_index</span><span class="o">.</span><span class="n">iteration_completed</span><span class="p">:</span>
|
||||
<span class="lineno">300</span> <span class="n">batch</span> <span class="o">=</span> <span class="nb">next</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">__iterable</span><span class="p">)</span>
|
||||
<span class="lineno">301</span>
|
||||
<span class="lineno">302</span> <span class="bp">self</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">batch</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_index</span><span class="p">)</span>
|
||||
<span class="lineno">303</span>
|
||||
<span class="lineno">304</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_index</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>
|
||||
<span class="lineno">305</span> <span class="n">monit</span><span class="o">.</span><span class="n">progress</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_batch_index</span><span class="o">.</span><span class="n">epoch_progress</span><span class="p">)</span>
|
||||
<span class="lineno">306</span>
|
||||
<span class="lineno">307</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_index</span><span class="o">.</span><span class="n">step_inner</span><span class="p">()</span>
|
||||
<span class="lineno">308</span>
|
||||
<span class="lineno">309</span>
|
||||
<span class="lineno">310</span><span class="k">class</span> <span class="nc">BatchIndex</span><span class="p">:</span>
|
||||
<span class="lineno">311</span> <span class="n">idx</span><span class="p">:</span> <span class="nb">int</span>
|
||||
<span class="lineno">312</span> <span class="n">total</span><span class="p">:</span> <span class="nb">int</span>
|
||||
<span class="lineno">313</span> <span class="n">iteration</span><span class="p">:</span> <span class="nb">int</span>
|
||||
<span class="lineno">314</span> <span class="n">total_iterations</span><span class="p">:</span> <span class="nb">int</span>
|
||||
<span class="lineno">315</span>
|
||||
<span class="lineno">316</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">total</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">total_iterations</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
|
||||
<span class="lineno">317</span> <span class="bp">self</span><span class="o">.</span><span class="n">total_iterations</span> <span class="o">=</span> <span class="n">total_iterations</span>
|
||||
<span class="lineno">318</span> <span class="bp">self</span><span class="o">.</span><span class="n">total</span> <span class="o">=</span> <span class="n">total</span>
|
||||
<span class="lineno">319</span>
|
||||
<span class="lineno">320</span> <span class="k">def</span> <span class="nf">is_interval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">interval</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
|
||||
<span class="lineno">321</span> <span class="k">if</span> <span class="n">interval</span> <span class="o"><=</span> <span class="mi">0</span><span class="p">:</span>
|
||||
<span class="lineno">322</span> <span class="k">return</span> <span class="kc">False</span>
|
||||
<span class="lineno">323</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">+</span> <span class="mi">1</span> <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">total</span><span class="p">:</span>
|
||||
<span class="lineno">324</span> <span class="k">return</span> <span class="kc">True</span>
|
||||
<span class="lineno">325</span> <span class="k">else</span><span class="p">:</span>
|
||||
<span class="lineno">326</span> <span class="k">return</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">%</span> <span class="n">interval</span> <span class="o">==</span> <span class="mi">0</span>
|
||||
<span class="lineno">327</span>
|
||||
<span class="lineno">328</span> <span class="nd">@property</span>
|
||||
<span class="lineno">329</span> <span class="k">def</span> <span class="nf">is_last</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">330</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">+</span> <span class="mi">1</span> <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">total</span>
|
||||
<span class="lineno">331</span>
|
||||
<span class="lineno">332</span> <span class="nd">@property</span>
|
||||
<span class="lineno">333</span> <span class="k">def</span> <span class="nf">completed</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">334</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">iteration</span> <span class="o">>=</span> <span class="bp">self</span><span class="o">.</span><span class="n">total_iterations</span>
|
||||
<span class="lineno">335</span>
|
||||
<span class="lineno">336</span> <span class="nd">@property</span>
|
||||
<span class="lineno">337</span> <span class="k">def</span> <span class="nf">iteration_completed</span><span class="p">(</span><span class="bp">self</span><span class="p">):</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>// is important so that the last step happens on the last iteration </p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">339</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">>=</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">iteration</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">total</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">total_iterations</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-18'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-18'>#</a>
|
||||
</div>
|
||||
<p> This is a configurable module that you can extend for experiments that involve a training and validation datasets (i.e. most DL experiments).</p>
|
||||
<p>Arguments: epochs (int): Number of epochs to train on. Defaults to <code class="highlight"><span></span></code>
|
||||
10<code class="highlight"><span></span></code>
|
||||
. train_loader (torch.utils.data.DataLoader): Training data loader. valid_loader (torch.utils.data.DataLoader): Training data loader. inner_iterations (int): Number of times to switch between training and validation within an epoch. Defaults to <code class="highlight"><span></span></code>
|
||||
1<code class="highlight"><span></span></code>
|
||||
.</p>
|
||||
<p>You can override <code class="highlight"><span></span></code>
|
||||
init<code class="highlight"><span></span></code>
|
||||
, <code class="highlight"><span></span></code>
|
||||
step<code class="highlight"><span></span></code>
|
||||
functions. There is also a <code class="highlight"><span></span></code>
|
||||
sample<code class="highlight"><span></span></code>
|
||||
function that you can override to generate samples ever time it switches between training and validation.</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">341</span> <span class="nd">@property</span>
|
||||
<span class="lineno">342</span> <span class="k">def</span> <span class="nf">epoch_progress</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">343</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">total</span>
|
||||
<span class="lineno">344</span>
|
||||
<span class="lineno">345</span> <span class="k">def</span> <span class="nf">step</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">346</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">+=</span> <span class="mi">1</span>
|
||||
<span class="lineno">347</span>
|
||||
<span class="lineno">348</span> <span class="k">def</span> <span class="nf">step_inner</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">349</span> <span class="bp">self</span><span class="o">.</span><span class="n">iteration</span> <span class="o">+=</span> <span class="mi">1</span>
|
||||
<span class="lineno">350</span>
|
||||
<span class="lineno">351</span> <span class="k">def</span> <span class="nf">reset</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">total</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">total_iterations</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
|
||||
<span class="lineno">352</span> <span class="bp">self</span><span class="o">.</span><span class="n">total</span> <span class="o">=</span> <span class="n">total</span>
|
||||
<span class="lineno">353</span> <span class="bp">self</span><span class="o">.</span><span class="n">total_iterations</span> <span class="o">=</span> <span class="n">total_iterations</span>
|
||||
<span class="lineno">354</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="lineno">355</span> <span class="bp">self</span><span class="o">.</span><span class="n">iteration</span> <span class="o">=</span> <span class="mi">0</span>
|
||||
<span class="lineno">356</span>
|
||||
<span class="lineno">357</span>
|
||||
<span class="lineno">358</span><span class="k">class</span> <span class="nc">TrainValidConfigs</span><span class="p">(</span><span class="n">TrainingLoopConfigs</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>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">373</span> <span class="n">state_modules</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">StateModule</span><span class="p">]</span>
|
||||
<span class="lineno">374</span>
|
||||
<span class="lineno">375</span> <span class="n">mode</span><span class="p">:</span> <span class="n">ModeState</span>
|
||||
<span class="lineno">376</span>
|
||||
<span class="lineno">377</span> <span class="n">epochs</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">10</span>
|
||||
<span class="lineno">378</span>
|
||||
<span class="lineno">379</span> <span class="n">trainer</span><span class="p">:</span> <span class="n">Trainer</span>
|
||||
<span class="lineno">380</span> <span class="n">validator</span><span class="p">:</span> <span class="n">Trainer</span>
|
||||
<span class="lineno">381</span> <span class="n">train_loader</span><span class="p">:</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="lineno">382</span> <span class="n">valid_loader</span><span class="p">:</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="lineno">383</span>
|
||||
<span class="lineno">384</span> <span class="n">loop_count</span> <span class="o">=</span> <span class="s1">'_data_loop_count'</span>
|
||||
<span class="lineno">385</span> <span class="n">loop_step</span> <span class="o">=</span> <span class="kc">None</span>
|
||||
<span class="lineno">386</span>
|
||||
<span class="lineno">387</span> <span class="n">inner_iterations</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span>
|
||||
<span class="lineno">388</span>
|
||||
<span class="lineno">389</span> <span class="n">is_track_time</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-20'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-20'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">391</span> <span class="k">def</span> <span class="nf">init</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">392</span> <span class="k">pass</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-21'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-21'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">394</span> <span class="k">def</span> <span class="nf">step</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">batch_idx</span><span class="p">:</span> <span class="n">BatchIndex</span><span class="p">):</span>
|
||||
<span class="lineno">395</span> <span class="k">raise</span> <span class="ne">NotImplementedError</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-22'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-22'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">397</span> <span class="k">def</span> <span class="nf">run_step</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">398</span> <span class="k">for</span> <span class="n">i</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">inner_iterations</span><span class="p">):</span>
|
||||
<span class="lineno">399</span> <span class="k">with</span> <span class="n">tracker</span><span class="o">.</span><span class="n">namespace</span><span class="p">(</span><span class="s1">'sample'</span><span class="p">):</span>
|
||||
<span class="lineno">400</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample</span><span class="p">()</span>
|
||||
<span class="lineno">401</span> <span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">is_train</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
|
||||
<span class="lineno">402</span> <span class="k">with</span> <span class="n">tracker</span><span class="o">.</span><span class="n">namespace</span><span class="p">(</span><span class="s1">'train'</span><span class="p">):</span>
|
||||
<span class="lineno">403</span> <span class="bp">self</span><span class="o">.</span><span class="n">trainer</span><span class="p">()</span>
|
||||
<span class="lineno">404</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">validator</span><span class="p">:</span>
|
||||
<span class="lineno">405</span> <span class="k">with</span> <span class="n">tracker</span><span class="o">.</span><span class="n">namespace</span><span class="p">(</span><span class="s1">'valid'</span><span class="p">):</span>
|
||||
<span class="lineno">406</span> <span class="bp">self</span><span class="o">.</span><span class="n">validator</span><span class="p">()</span>
|
||||
<span class="lineno">407</span> <span class="n">tracker</span><span class="o">.</span><span class="n">save</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>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">409</span> <span class="k">def</span> <span class="nf">run</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">410</span> <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s2">"Initialize"</span><span class="p">):</span>
|
||||
<span class="lineno">411</span> <span class="bp">self</span><span class="o">.</span><span class="n">init</span><span class="p">()</span>
|
||||
<span class="lineno">412</span> <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">validator</span>
|
||||
<span class="lineno">413</span> <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">trainer</span>
|
||||
<span class="lineno">414</span> <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">training_loop</span><span class="p">:</span>
|
||||
<span class="lineno">415</span> <span class="bp">self</span><span class="o">.</span><span class="n">run_step</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>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">417</span> <span class="k">def</span> <span class="nf">sample</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">418</span> <span class="k">pass</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-25'>
|
||||
<div class='docs doc-strings'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-25'>#</a>
|
||||
</div>
|
||||
<p> This is a configurable module that works for many standard DL experiments.</p>
|
||||
<p>Arguments: model: A PyTorch model. optimizer: A PyTorch optimizer to update model. device: The device to train the model on. This defaults to a configurable device loss_function: A function to calculate the loss. This should accept <code class="highlight"><span></span></code>
|
||||
model_output, target<code class="highlight"><span></span></code>
|
||||
as arguments. update_batches (int): Number of batches to accumulate before taking an optimizer step. Defaults to <code class="highlight"><span></span></code>
|
||||
1<code class="highlight"><span></span></code>
|
||||
. log_save_batches (int): How often to call :func:<code class="highlight"><span></span><span class="n">labml</span><span class="o">.</span><span class="n">tracker</span><span class="o">.</span><span class="n">save</span></code>
|
||||
.</p>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">421</span><span class="nd">@option</span><span class="p">(</span><span class="n">TrainValidConfigs</span><span class="o">.</span><span class="n">trainer</span><span class="p">)</span>
|
||||
<span class="lineno">422</span><span class="k">def</span> <span class="nf">_default_trainer</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TrainValidConfigs</span><span class="p">):</span>
|
||||
<span class="lineno">423</span> <span class="k">return</span> <span class="n">Trainer</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'Train'</span><span class="p">,</span>
|
||||
<span class="lineno">424</span> <span class="n">mode</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">mode</span><span class="p">,</span>
|
||||
<span class="lineno">425</span> <span class="n">data_loader</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">train_loader</span><span class="p">,</span>
|
||||
<span class="lineno">426</span> <span class="n">inner_iterations</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">inner_iterations</span><span class="p">,</span>
|
||||
<span class="lineno">427</span> <span class="n">state_modules</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">state_modules</span><span class="p">,</span>
|
||||
<span class="lineno">428</span> <span class="n">is_track_time</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">is_track_time</span><span class="p">,</span>
|
||||
<span class="lineno">429</span> <span class="n">step</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">step</span><span class="p">)</span>
|
||||
<span class="lineno">430</span>
|
||||
<span class="lineno">431</span>
|
||||
<span class="lineno">432</span><span class="nd">@option</span><span class="p">(</span><span class="n">TrainValidConfigs</span><span class="o">.</span><span class="n">validator</span><span class="p">)</span>
|
||||
<span class="lineno">433</span><span class="k">def</span> <span class="nf">_default_validator</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TrainValidConfigs</span><span class="p">):</span>
|
||||
<span class="lineno">434</span> <span class="k">return</span> <span class="n">Trainer</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'Valid'</span><span class="p">,</span>
|
||||
<span class="lineno">435</span> <span class="n">mode</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">mode</span><span class="p">,</span>
|
||||
<span class="lineno">436</span> <span class="n">data_loader</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">valid_loader</span><span class="p">,</span>
|
||||
<span class="lineno">437</span> <span class="n">inner_iterations</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">inner_iterations</span><span class="p">,</span>
|
||||
<span class="lineno">438</span> <span class="n">state_modules</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">state_modules</span><span class="p">,</span>
|
||||
<span class="lineno">439</span> <span class="n">is_track_time</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">is_track_time</span><span class="p">,</span>
|
||||
<span class="lineno">440</span> <span class="n">step</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">step</span><span class="p">)</span>
|
||||
<span class="lineno">441</span>
|
||||
<span class="lineno">442</span>
|
||||
<span class="lineno">443</span><span class="nd">@option</span><span class="p">(</span><span class="n">TrainValidConfigs</span><span class="o">.</span><span class="n">loop_count</span><span class="p">)</span>
|
||||
<span class="lineno">444</span><span class="k">def</span> <span class="nf">_data_loop_count</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TrainValidConfigs</span><span class="p">):</span>
|
||||
<span class="lineno">445</span> <span class="k">return</span> <span class="n">c</span><span class="o">.</span><span class="n">epochs</span>
|
||||
<span class="lineno">446</span>
|
||||
<span class="lineno">447</span>
|
||||
<span class="lineno">448</span><span class="k">class</span> <span class="nc">SimpleTrainValidConfigs</span><span class="p">(</span><span class="n">TrainValidConfigs</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>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">462</span> <span class="n">optimizer</span><span class="p">:</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="lineno">463</span> <span class="n">model</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span>
|
||||
<span class="lineno">464</span> <span class="n">device</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span> <span class="o">=</span> <span class="n">DeviceConfigs</span><span class="p">()</span>
|
||||
<span class="lineno">465</span>
|
||||
<span class="lineno">466</span> <span class="n">loss_func</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span>
|
||||
<span class="lineno">467</span>
|
||||
<span class="lineno">468</span> <span class="n">update_batches</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span>
|
||||
<span class="lineno">469</span> <span class="n">log_save_batches</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span>
|
||||
<span class="lineno">470</span>
|
||||
<span class="lineno">471</span> <span class="n">state_modules</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">StateModule</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span></pre></div>
|
||||
</div>
|
||||
</div>
|
||||
<div class='section' id='section-27'>
|
||||
<div class='docs'>
|
||||
<div class='section-link'>
|
||||
<a href='#section-27'>#</a>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
<div class='code'>
|
||||
<div class="highlight"><pre><span class="lineno">473</span> <span class="k">def</span> <span class="nf">init</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||||
<span class="lineno">474</span> <span class="k">pass</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">476</span> <span class="k">def</span> <span class="nf">step</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">batch_idx</span><span class="p">:</span> <span class="n">BatchIndex</span><span class="p">):</span>
|
||||
<span class="lineno">477</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">is_train</span><span class="p">)</span>
|
||||
<span class="lineno">478</span> <span class="n">data</span><span class="p">,</span> <span class="n">target</span> <span class="o">=</span> <span class="n">batch</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">batch</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">479</span>
|
||||
<span class="lineno">480</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">is_train</span><span class="p">:</span>
|
||||
<span class="lineno">481</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add_global_step</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">))</span>
|
||||
<span class="lineno">482</span>
|
||||
<span class="lineno">483</span> <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s2">"model"</span><span class="p">):</span>
|
||||
<span class="lineno">484</span> <span class="n">output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
|
||||
<span class="lineno">485</span>
|
||||
<span class="lineno">486</span> <span class="n">loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">loss_func</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">target</span><span class="p">)</span>
|
||||
<span class="lineno">487</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s2">"loss."</span><span class="p">,</span> <span class="n">loss</span><span class="p">)</span>
|
||||
<span class="lineno">488</span>
|
||||
<span class="lineno">489</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">is_train</span><span class="p">:</span>
|
||||
<span class="lineno">490</span> <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">'backward'</span><span class="p">):</span>
|
||||
<span class="lineno">491</span> <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
|
||||
<span class="lineno">492</span>
|
||||
<span class="lineno">493</span> <span class="k">if</span> <span class="n">batch_idx</span><span class="o">.</span><span class="n">is_interval</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">update_batches</span><span class="p">):</span>
|
||||
<span class="lineno">494</span> <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">'optimize'</span><span class="p">):</span>
|
||||
<span class="lineno">495</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>
|
||||
<span class="lineno">496</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>
|
||||
<span class="lineno">497</span>
|
||||
<span class="lineno">498</span> <span class="k">if</span> <span class="n">batch_idx</span><span class="o">.</span><span class="n">is_interval</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">log_save_batches</span><span class="p">):</span>
|
||||
<span class="lineno">499</span> <span class="n">tracker</span><span class="o">.</span><span class="n">save</span><span class="p">()</span>
|
||||
<span class="lineno">500</span>
|
||||
<span class="lineno">501</span>
|
||||
<span class="lineno">502</span><span class="n">meta_config</span><span class="p">(</span><span class="n">SimpleTrainValidConfigs</span><span class="o">.</span><span class="n">update_batches</span><span class="p">,</span>
|
||||
<span class="lineno">503</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">506</span><span class="nd">@option</span><span class="p">(</span><span class="n">SimpleTrainValidConfigs</span><span class="o">.</span><span class="n">optimizer</span><span class="p">)</span>
|
||||
<span class="lineno">507</span><span class="k">def</span> <span class="nf">_default_optimizer</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">SimpleTrainValidConfigs</span><span class="p">):</span>
|
||||
<span class="lineno">508</span> <span class="kn">from</span> <span class="nn">.optimizer</span> <span class="kn">import</span> <span class="n">OptimizerConfigs</span>
|
||||
<span class="lineno">509</span> <span class="n">opt_conf</span> <span class="o">=</span> <span class="n">OptimizerConfigs</span><span class="p">()</span>
|
||||
<span class="lineno">510</span> <span class="n">opt_conf</span><span class="o">.</span><span class="n">parameters</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">()</span>
|
||||
<span class="lineno">511</span> <span class="k">return</span> <span class="n">opt_conf</span></pre></div>
|
||||
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|
||||
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|
||||
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|
||||
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Reference in New Issue
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