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<h1>Compressive Transformer Experiment</h1>
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<p>This is an annotated PyTorch experiment to train a compressive transformer model.</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">11</span><span></span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">NamedTuple</span>
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<span class="lineno">12</span>
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<span class="lineno">13</span><span class="kn">import</span> <span class="nn">torch</span>
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<span class="lineno">14</span><span class="kn">import</span> <span class="nn">torch.nn</span> <span class="k">as</span> <span class="nn">nn</span>
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<span class="lineno">15</span>
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<span class="lineno">16</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">experiment</span><span class="p">,</span> <span class="n">tracker</span><span class="p">,</span> <span class="n">monit</span><span class="p">,</span> <span class="n">logger</span>
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<span class="lineno">17</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">option</span>
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<span class="lineno">18</span><span class="kn">from</span> <span class="nn">labml.logger</span> <span class="kn">import</span> <span class="n">Text</span>
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<span class="lineno">19</span><span class="kn">from</span> <span class="nn">labml_helpers.metrics.simple_state</span> <span class="kn">import</span> <span class="n">SimpleStateModule</span>
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<span class="lineno">20</span><span class="kn">from</span> <span class="nn">labml_helpers.module</span> <span class="kn">import</span> <span class="n">Module</span>
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<span class="lineno">21</span><span class="kn">from</span> <span class="nn">labml_helpers.train_valid</span> <span class="kn">import</span> <span class="n">BatchIndex</span><span class="p">,</span> <span class="n">hook_model_outputs</span>
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<span class="lineno">22</span><span class="kn">from</span> <span class="nn">labml_nn.experiments.nlp_autoregression</span> <span class="kn">import</span> <span class="n">NLPAutoRegressionConfigs</span>
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<span class="lineno">23</span><span class="kn">from</span> <span class="nn">labml_nn.transformers.compressive</span> <span class="kn">import</span> <span class="n">CompressiveTransformer</span><span class="p">,</span> <span class="n">AttentionReconstructionLoss</span><span class="p">,</span> \
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<span class="lineno">24</span> <span class="n">CompressiveTransformerLayer</span><span class="p">,</span> <span class="n">Conv1dCompression</span></pre></div>
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</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 class='code'>
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<div class="highlight"><pre><span class="lineno">27</span><span class="k">class</span> <span class="nc">CompressedMemory</span><span class="p">(</span><span class="n">NamedTuple</span><span class="p">):</span>
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<span class="lineno">28</span> <span class="n">mem</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">]</span>
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<span class="lineno">29</span> <span class="n">c_mem</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">]</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-2'>
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<div class='docs 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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<h2>Auto regressive model</h2>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">32</span><span class="k">class</span> <span class="nc">AutoregressiveModel</span><span class="p">(</span><span class="n">Module</span><span class="p">):</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-3'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-3'>#</a>
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</div>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">37</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">n_vocab</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">transformer</span><span class="p">:</span> <span class="n">CompressiveTransformer</span><span class="p">):</span>
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<span class="lineno">38</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-4'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-4'>#</a>
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</div>
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<p>Token embedding module</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">40</span> <span class="bp">self</span><span class="o">.</span><span class="n">src_embed</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Embedding</span><span class="p">(</span><span class="n">n_vocab</span><span class="p">,</span> <span class="n">d_model</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-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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<p>Transformer</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">42</span> <span class="bp">self</span><span class="o">.</span><span class="n">transformer</span> <span class="o">=</span> <span class="n">transformer</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-6'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-6'>#</a>
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</div>
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<p>Final layer</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">44</span> <span class="bp">self</span><span class="o">.</span><span class="n">generator</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">d_model</span><span class="p">,</span> <span class="n">n_vocab</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-7'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-7'>#</a>
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</div>
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<p>Masks</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">46</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_x</span> <span class="o">=</span> <span class="kc">None</span>
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<span class="lineno">47</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_mem</span> <span class="o">=</span> <span class="kc">None</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-8'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-8'>#</a>
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</div>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">49</span> <span class="k">def</span> <span class="nf">forward</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="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">mem</span><span class="p">:</span> <span class="n">CompressedMemory</span><span class="p">):</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-9'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-9'>#</a>
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</div>
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<p>Get memory and compressed memory</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">51</span> <span class="k">if</span> <span class="n">mem</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
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<span class="lineno">52</span> <span class="n">mem</span><span class="p">,</span> <span class="n">c_mem</span> <span class="o">=</span> <span class="n">mem</span><span class="o">.</span><span class="n">mem</span><span class="p">,</span> <span class="n">mem</span><span class="o">.</span><span class="n">c_mem</span>
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<span class="lineno">53</span> <span class="k">else</span><span class="p">:</span>
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<span class="lineno">54</span> <span class="n">mem</span> <span class="o">=</span> <span class="p">[]</span>
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<span class="lineno">55</span> <span class="n">c_mem</span> <span class="o">=</span> <span class="p">[]</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-10'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-10'>#</a>
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</div>
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<p>Length of the memory (for masks)</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">58</span> <span class="n">m_len</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">mem</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="k">if</span> <span class="n">mem</span> <span class="k">else</span> <span class="mi">0</span>
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<span class="lineno">59</span> <span class="k">if</span> <span class="n">c_mem</span><span class="p">:</span>
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<span class="lineno">60</span> <span class="n">m_len</span> <span class="o">+=</span> <span class="nb">len</span><span class="p">(</span><span class="n">c_mem</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-11'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-11'>#</a>
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</div>
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<p>Create a subsequent mask for tokens</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">63</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_x</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">mask_x</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="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
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<span class="lineno">64</span> <span class="kn">from</span> <span class="nn">labml_nn.transformers.utils</span> <span class="kn">import</span> <span class="n">subsequent_mask</span>
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<span class="lineno">65</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_x</span> <span class="o">=</span> <span class="n">subsequent_mask</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">))</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-12'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-12'>#</a>
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</div>
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<p>Create an all ones (full visibility) mask for memory</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">67</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_mem</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">mask_mem</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o"><</span> <span class="n">m_len</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_mem</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="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
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<span class="lineno">68</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_mem</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_x</span><span class="o">.</span><span class="n">new_ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="n">m_len</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-13'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-13'>#</a>
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</div>
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<p>Concatenate the masks if there is memory</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">71</span> <span class="k">if</span> <span class="n">m_len</span><span class="p">:</span>
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<span class="lineno">72</span> <span class="n">mask</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">cat</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">mask_mem</span><span class="p">[:</span><span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="p">:</span><span class="n">m_len</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_x</span><span class="p">[:</span><span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="p">:</span><span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">)]),</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-14'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-14'>#</a>
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</div>
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<p>Use only the subsequent mask otherwise</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">74</span> <span class="k">else</span><span class="p">:</span>
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<span class="lineno">75</span> <span class="n">mask</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_x</span><span class="p">[:</span><span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="p">:</span><span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">)]</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-15'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-15'>#</a>
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</div>
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<p>Token embeddings</p>
|
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</div>
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|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">78</span> <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">src_embed</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
|
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</div>
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</div>
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<div class='section' id='section-16'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-16'>#</a>
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</div>
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<p>Run it through the transformer</p>
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</div>
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<div class='code'>
|
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<div class="highlight"><pre><span class="lineno">80</span> <span class="n">res</span><span class="p">,</span> <span class="n">mem</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">transformer</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">mem</span><span class="p">,</span> <span class="n">c_mem</span><span class="p">,</span> <span class="n">mask</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-17'>
|
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<div class='docs'>
|
|
<div class='section-link'>
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<a href='#section-17'>#</a>
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</div>
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<p>Generate logits of the next token</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">82</span> <span class="n">res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">generator</span><span class="p">(</span><span class="n">res</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-18'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-18'>#</a>
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</div>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">84</span> <span class="k">return</span> <span class="n">res</span><span class="p">,</span> <span class="n">mem</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-19'>
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<div class='docs doc-strings'>
|
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<div class='section-link'>
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|
<a href='#section-19'>#</a>
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</div>
|
|
<h2>Configurations</h2>
|
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<p>The default configs can and will be over-ridden when we start the experiment.</p>
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</div>
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|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">87</span><span class="k">class</span> <span class="nc">Configs</span><span class="p">(</span><span class="n">NLPAutoRegressionConfigs</span><span class="p">):</span></pre></div>
|
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</div>
|
|
</div>
|
|
<div class='section' id='section-20'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-20'>#</a>
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</div>
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|
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</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">94</span> <span class="n">model</span><span class="p">:</span> <span class="n">AutoregressiveModel</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-21'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-21'>#</a>
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</div>
|
|
<p>Token embedding size</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">97</span> <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">128</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-22'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-22'>#</a>
|
|
</div>
|
|
<p>Number of attention heads</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">99</span> <span class="n">heads</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">4</span></pre></div>
|
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</div>
|
|
</div>
|
|
<div class='section' id='section-23'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-23'>#</a>
|
|
</div>
|
|
<p>Dropout probability</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">101</span> <span class="n">dropout</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.0</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-24'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-24'>#</a>
|
|
</div>
|
|
<p>Number of features in FFN hidden layer</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">103</span> <span class="n">d_ff</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">256</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-25'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-25'>#</a>
|
|
</div>
|
|
<p>Number of transformer layers</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">105</span> <span class="n">n_layers</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">6</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-26'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-26'>#</a>
|
|
</div>
|
|
<p>Number of memories to keep</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">107</span> <span class="n">mem_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">8</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-27'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-27'>#</a>
|
|
</div>
|
|
<p>State module to maintain memories when switching between training and validation</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">109</span> <span class="n">memory</span> <span class="o">=</span> <span class="n">SimpleStateModule</span><span class="p">()</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-28'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-28'>#</a>
|
|
</div>
|
|
<p>Attention Reconstruction Loss</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">111</span> <span class="n">attention_reconstruction_loss</span><span class="p">:</span> <span class="n">AttentionReconstructionLoss</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-29'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-29'>#</a>
|
|
</div>
|
|
<p>Compression rate</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">113</span> <span class="n">compression_rate</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">4</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-30'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-30'>#</a>
|
|
</div>
|
|
<p>Compressed memory length</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">115</span> <span class="n">c_mem_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">128</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-31'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-31'>#</a>
|
|
</div>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">117</span> <span class="k">def</span> <span class="nf">init</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-32'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-32'>#</a>
|
|
</div>
|
|
<p>Set tracker configurations</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">119</span> <span class="n">tracker</span><span class="o">.</span><span class="n">set_scalar</span><span class="p">(</span><span class="s2">"accuracy.*"</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
|
|
<span class="lineno">120</span> <span class="n">tracker</span><span class="o">.</span><span class="n">set_scalar</span><span class="p">(</span><span class="s2">"loss.*"</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-33'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-33'>#</a>
|
|
</div>
|
|
<p>Do not print the attention reconstruction loss in the terminal</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">122</span> <span class="n">tracker</span><span class="o">.</span><span class="n">set_scalar</span><span class="p">(</span><span class="s2">"ar_loss.*"</span><span class="p">,</span> <span class="kc">False</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-34'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-34'>#</a>
|
|
</div>
|
|
<p>Add a hook to log module outputs</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">124</span> <span class="n">hook_model_outputs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">,</span> <span class="s1">'model'</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-35'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-35'>#</a>
|
|
</div>
|
|
<p>This will keep the accuracy metric stats and memories separate for training and validation.</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">126</span> <span class="bp">self</span><span class="o">.</span><span class="n">state_modules</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">accuracy</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">memory</span><span class="p">]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-36'>
|
|
<div class='docs doc-strings'>
|
|
<div class='section-link'>
|
|
<a href='#section-36'>#</a>
|
|
</div>
|
|
<p>Concatenate new memories and compress the oldest memories.</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">128</span> <span class="nd">@torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">()</span>
|
|
<span class="lineno">129</span> <span class="k">def</span> <span class="nf">merge_compress_memory</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mem</span><span class="p">:</span> <span class="n">CompressedMemory</span><span class="p">,</span> <span class="n">new_mem</span><span class="p">:</span> <span class="n">List</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">130</span> <span class="o">-></span> <span class="n">Tuple</span><span class="p">[</span><span class="n">CompressedMemory</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">]]:</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-37'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-37'>#</a>
|
|
</div>
|
|
<p>If it’s configured not to use memory</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">136</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">mem_len</span> <span class="o">==</span> <span class="mi">0</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">c_mem_len</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
|
<span class="lineno">137</span> <span class="k">return</span> <span class="n">CompressedMemory</span><span class="p">([],</span> <span class="p">[]),</span> <span class="p">[]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-38'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-38'>#</a>
|
|
</div>
|
|
<p>Get memory and compressed memory</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">140</span> <span class="k">if</span> <span class="n">mem</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">mem</span><span class="p">,</span> <span class="n">c_mem</span> <span class="o">=</span> <span class="n">mem</span><span class="o">.</span><span class="n">mem</span><span class="p">,</span> <span class="n">mem</span><span class="o">.</span><span class="n">c_mem</span>
|
|
<span class="lineno">142</span> <span class="k">else</span><span class="p">:</span>
|
|
<span class="lineno">143</span> <span class="n">mem</span><span class="p">,</span> <span class="n">c_mem</span> <span class="o">=</span> <span class="p">[],</span> <span class="p">[]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-39'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-39'>#</a>
|
|
</div>
|
|
<p>Concatenate new memories with old memory</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">146</span> <span class="k">if</span> <span class="n">mem</span><span class="p">:</span>
|
|
<span class="lineno">147</span> <span class="n">mem</span> <span class="o">=</span> <span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">cat</span><span class="p">((</span><span class="n">m</span><span class="p">,</span> <span class="n">x</span><span class="p">),</span> <span class="n">dim</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="k">for</span> <span class="n">m</span><span class="p">,</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">mem</span><span class="p">,</span> <span class="n">new_mem</span><span class="p">)]</span>
|
|
<span class="lineno">148</span> <span class="k">else</span><span class="p">:</span>
|
|
<span class="lineno">149</span> <span class="n">mem</span> <span class="o">=</span> <span class="n">new_mem</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-40'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-40'>#</a>
|
|
</div>
|
|
<p>Compress the oldest memories if there are more memories than <code>mem_len</code></p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">152</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">mem</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">mem_len</span><span class="p">:</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-41'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-41'>#</a>
|
|
</div>
|
|
<p>Calculate the number of compressed memories to make $n_{cm} = \bigg\lceil\frac{n’_m - N_m}{c}\bigg\rceil$,
|
|
where $n’_m$ is the number of memories we have
|
|
and $N_m$ is the maximum number of memories we maintain (<code>mem_len</code>).</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">156</span> <span class="n">n_c_mem</span> <span class="o">=</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">mem</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">mem_len</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">compression_rate</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">compression_rate</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-42'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-42'>#</a>
|
|
</div>
|
|
<p>Number of memories to compress $c n_{cm}$</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">158</span> <span class="n">n_old</span> <span class="o">=</span> <span class="n">n_c_mem</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">compression_rate</span></pre></div>
|
|
</div>
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</div>
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|
<div class='section' id='section-43'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
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<a href='#section-43'>#</a>
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</div>
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<p>A list to keep memories that need to be compressed for each layer.</p>
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</div>
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|
<div class='code'>
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<div class="highlight"><pre><span class="lineno">160</span> <span class="n">mem_to_compress</span> <span class="o">=</span> <span class="p">[]</span></pre></div>
|
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</div>
|
|
</div>
|
|
<div class='section' id='section-44'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-44'>#</a>
|
|
</div>
|
|
<p>A list to keep the memories that do not get compressed for each layer.</p>
|
|
</div>
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<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">162</span> <span class="n">uncompressed_mem</span> <span class="o">=</span> <span class="p">[]</span></pre></div>
|
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</div>
|
|
</div>
|
|
<div class='section' id='section-45'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-45'>#</a>
|
|
</div>
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<p>Iterate through memories of each layer.</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">164</span> <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="n">mem</span><span class="p">:</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-46'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-46'>#</a>
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|
</div>
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<p>Split the memories at $c n_{cm}$</p>
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</div>
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<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">166</span> <span class="n">cm</span><span class="p">,</span> <span class="n">m</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="n">m</span><span class="p">,</span> <span class="p">[</span><span class="n">n_old</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">m</span><span class="p">)</span> <span class="o">-</span> <span class="n">n_old</span><span class="p">])</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-47'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-47'>#</a>
|
|
</div>
|
|
<p>Collect memories to compress</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">168</span> <span class="n">mem_to_compress</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">cm</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-48'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-48'>#</a>
|
|
</div>
|
|
<p>Collect remaining memories</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">170</span> <span class="n">uncompressed_mem</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">m</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-49'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-49'>#</a>
|
|
</div>
|
|
<p>Update the memories</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">172</span> <span class="n">mem</span> <span class="o">=</span> <span class="n">uncompressed_mem</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-50'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-50'>#</a>
|
|
</div>
|
|
<p>Compress the memories</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">175</span> <span class="n">new_c_mem</span> <span class="o">=</span> <span class="p">[]</span>
|
|
<span class="lineno">176</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">layer</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">model</span><span class="o">.</span><span class="n">transformer</span><span class="o">.</span><span class="n">layers</span><span class="p">):</span>
|
|
<span class="lineno">177</span> <span class="n">new_c_mem</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">layer</span><span class="o">.</span><span class="n">compress</span><span class="p">(</span><span class="n">mem_to_compress</span><span class="p">[</span><span class="n">i</span><span class="p">]))</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-51'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-51'>#</a>
|
|
</div>
|
|
<p>Concatenate newly compressed memories with old compressed memories</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">180</span> <span class="k">if</span> <span class="n">c_mem</span><span class="p">:</span>
|
|
<span class="lineno">181</span> <span class="n">c_mem</span> <span class="o">=</span> <span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">cat</span><span class="p">((</span><span class="n">m</span><span class="p">,</span> <span class="n">nm</span><span class="p">),</span> <span class="n">dim</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="k">for</span> <span class="n">m</span><span class="p">,</span> <span class="n">nm</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">c_mem</span><span class="p">,</span> <span class="n">new_c_mem</span><span class="p">)]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-52'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-52'>#</a>
|
|
</div>
|
|
<p>If there are no old compressed memories</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">183</span> <span class="k">else</span><span class="p">:</span>
|
|
<span class="lineno">184</span> <span class="n">c_mem</span> <span class="o">=</span> <span class="n">new_c_mem</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-53'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-53'>#</a>
|
|
</div>
|
|
<p>Truncate old memories</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">187</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">c_mem</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">c_mem_len</span><span class="p">:</span>
|
|
<span class="lineno">188</span> <span class="n">c_mem</span> <span class="o">=</span> <span class="p">[</span><span class="n">m</span><span class="p">[</span><span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">c_mem_len</span><span class="p">:]</span> <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="n">c_mem</span><span class="p">]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-54'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-54'>#</a>
|
|
</div>
|
|
<p>No memories are compressed if the number of memories is less than <code>mem_len</code></p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">190</span> <span class="k">else</span><span class="p">:</span>
|
|
<span class="lineno">191</span> <span class="n">mem_to_compress</span> <span class="o">=</span> <span class="p">[]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-55'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-55'>#</a>
|
|
</div>
|
|
<p>Return memories and the memories that were compressed.
|
|
Memories that were compressed is needed for the reconstruction loss computation.</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">195</span> <span class="k">return</span> <span class="n">CompressedMemory</span><span class="p">(</span><span class="n">mem</span><span class="p">,</span> <span class="n">c_mem</span><span class="p">),</span> <span class="n">mem_to_compress</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-56'>
|
|
<div class='docs doc-strings'>
|
|
<div class='section-link'>
|
|
<a href='#section-56'>#</a>
|
|
</div>
|
|
<h3>Training/validation step</h3>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">197</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="nb">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></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-57'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-57'>#</a>
|
|
</div>
|
|
<p>Move data to the device</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">203</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></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-58'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-58'>#</a>
|
|
</div>
|
|
<p>Update global step (number of tokens processed) when in training mode</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">206</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">207</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add_global_step</span><span class="p">(</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">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-59'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-59'>#</a>
|
|
</div>
|
|
<p>Whether to capture model outputs</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">210</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_log_activations</span><span class="o">=</span><span class="n">batch_idx</span><span class="o">.</span><span class="n">is_last</span><span class="p">):</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-60'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-60'>#</a>
|
|
</div>
|
|
<p>Get memories</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">212</span> <span class="n">mem</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">memory</span><span class="o">.</span><span class="n">get</span><span class="p">()</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-61'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-61'>#</a>
|
|
</div>
|
|
<p>Run the model</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">214</span> <span class="n">output</span><span class="p">,</span> <span class="n">new_mem</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="n">mem</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-62'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-62'>#</a>
|
|
</div>
|
|
<p>Merge and compress memory</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">216</span> <span class="n">mem</span><span class="p">,</span> <span class="n">mem_to_compress</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">merge_compress_memory</span><span class="p">(</span><span class="n">mem</span><span class="p">,</span> <span class="n">new_mem</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-63'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-63'>#</a>
|
|
</div>
|
|
<p>Update memories</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">218</span> <span class="bp">self</span><span class="o">.</span><span class="n">memory</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">mem</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-64'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-64'>#</a>
|
|
</div>
|
|
<p>Calculate and log cross entropy loss</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">221</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">222</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></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-65'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-65'>#</a>
|
|
</div>
|
|
<p>Calculate attention reconstruction loss if memories were compressed in this step</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">225</span> <span class="k">if</span> <span class="n">mem_to_compress</span><span class="p">:</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-66'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-66'>#</a>
|
|
</div>
|
|
<p>Get attention reconstruction loss</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">227</span> <span class="n">ar_loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">attention_reconstruction_loss</span><span class="p">(</span><span class="n">new_mem</span><span class="p">,</span> <span class="n">mem_to_compress</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-67'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-67'>#</a>
|
|
</div>
|
|
<p>Track attention reconstruction loss</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">229</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s2">"ar_loss."</span><span class="p">,</span> <span class="n">ar_loss</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-68'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-68'>#</a>
|
|
</div>
|
|
<p>Add attention reconstruction loss to loss</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">231</span> <span class="n">loss</span> <span class="o">=</span> <span class="n">loss</span> <span class="o">+</span> <span class="n">ar_loss</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-69'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-69'>#</a>
|
|
</div>
|
|
<p>Calculate and log accuracy</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">234</span> <span class="bp">self</span><span class="o">.</span><span class="n">accuracy</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">235</span> <span class="bp">self</span><span class="o">.</span><span class="n">accuracy</span><span class="o">.</span><span class="n">track</span><span class="p">()</span></pre></div>
|
|
</div>
|
|
</div>
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<div class='section' id='section-70'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-70'>#</a>
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</div>
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<p>Train the model</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">238</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></pre></div>
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</div>
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</div>
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<div class='section' id='section-71'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-71'>#</a>
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</div>
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<p>Calculate gradients</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">240</span> <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-72'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-72'>#</a>
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</div>
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<p>Clip gradients</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">242</span> <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">clip_grad_norm_</span><span class="p">(</span><span class="bp">self</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="n">max_norm</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grad_norm_clip</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-73'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-73'>#</a>
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</div>
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<p>Take optimizer step</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">244</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></pre></div>
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</div>
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</div>
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<div class='section' id='section-74'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-74'>#</a>
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</div>
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<p>Log the model parameters and gradients on last batch of every epoch</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">246</span> <span class="k">if</span> <span class="n">batch_idx</span><span class="o">.</span><span class="n">is_last</span><span class="p">:</span>
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<span class="lineno">247</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s1">'model'</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-75'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-75'>#</a>
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</div>
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<p>Clear the gradients</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">249</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></pre></div>
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</div>
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</div>
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<div class='section' id='section-76'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-76'>#</a>
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</div>
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<p>Save the tracked metrics</p>
|
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</div>
|
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<div class='code'>
|
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<div class="highlight"><pre><span class="lineno">252</span> <span class="n">tracker</span><span class="o">.</span><span class="n">save</span><span class="p">()</span></pre></div>
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</div>
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</div>
|
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<div class='section' id='section-77'>
|
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<div class='docs doc-strings'>
|
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<div class='section-link'>
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|
<a href='#section-77'>#</a>
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</div>
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<h3>Sampling function to generate samples periodically while training</h3>
|
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</div>
|
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<div class='code'>
|
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<div class="highlight"><pre><span class="lineno">254</span> <span class="k">def</span> <span class="nf">sample</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
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</div>
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</div>
|
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<div class='section' id='section-78'>
|
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<div class='docs'>
|
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<div class='section-link'>
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<a href='#section-78'>#</a>
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</div>
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<p>Starting prompt</p>
|
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</div>
|
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">260</span> <span class="n">prompt</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">prompt</span></pre></div>
|
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</div>
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</div>
|
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<div class='section' id='section-79'>
|
|
<div class='docs'>
|
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<div class='section-link'>
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|
<a href='#section-79'>#</a>
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</div>
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<p>Collect output for printing</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">262</span> <span class="n">log</span> <span class="o">=</span> <span class="p">[(</span><span class="n">prompt</span><span class="p">,</span> <span class="n">Text</span><span class="o">.</span><span class="n">subtle</span><span class="p">)]</span></pre></div>
|
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</div>
|
|
</div>
|
|
<div class='section' id='section-80'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-80'>#</a>
|
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</div>
|
|
<p>memory</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">264</span> <span class="n">mem</span> <span class="o">=</span> <span class="n">CompressedMemory</span><span class="p">([],</span> <span class="p">[])</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-81'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-81'>#</a>
|
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</div>
|
|
<p>Sample 25 tokens</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">266</span> <span class="k">for</span> <span class="n">i</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="s1">'Sample'</span><span class="p">,</span> <span class="mi">25</span><span class="p">):</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-82'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-82'>#</a>
|
|
</div>
|
|
<p>Tokenize the prompt</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">268</span> <span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">text_to_i</span><span class="p">(</span><span class="n">prompt</span><span class="p">)</span><span class="o">.</span><span class="n">unsqueeze</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-83'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-83'>#</a>
|
|
</div>
|
|
<p>Move to device</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">270</span> <span class="n">data</span> <span class="o">=</span> <span class="n">data</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></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-84'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-84'>#</a>
|
|
</div>
|
|
<p>Get the model output</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">272</span> <span class="n">output</span><span class="p">,</span> <span class="n">new_mem</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="n">mem</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-85'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-85'>#</a>
|
|
</div>
|
|
<p>Get the model prediction (greedy)</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">274</span> <span class="n">output</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="o">.</span><span class="n">squeeze</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-86'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-86'>#</a>
|
|
</div>
|
|
<p>Add the prediction to prompt</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">276</span> <span class="n">prompt</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">prompt_separator</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">itos</span><span class="p">[</span><span class="n">output</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-87'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-87'>#</a>
|
|
</div>
|
|
<p>Only feed the last character to model in next iteration, rest will go in as memories</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">278</span> <span class="n">prompt</span> <span class="o">=</span> <span class="n">prompt</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">:]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-88'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-88'>#</a>
|
|
</div>
|
|
<p>Add the prediction for logging</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">280</span> <span class="n">log</span> <span class="o">+=</span> <span class="p">[(</span><span class="bp">self</span><span class="o">.</span><span class="n">prompt_separator</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">itos</span><span class="p">[</span><span class="n">output</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]],</span> <span class="n">Text</span><span class="o">.</span><span class="n">value</span><span class="p">)]</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-89'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-89'>#</a>
|
|
</div>
|
|
<p>Update and compress memory</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">282</span> <span class="n">mem</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">merge_compress_memory</span><span class="p">(</span><span class="n">mem</span><span class="p">,</span> <span class="n">new_mem</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-90'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-90'>#</a>
|
|
</div>
|
|
<p>Print the sampled output</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">285</span> <span class="n">logger</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">log</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-91'>
|
|
<div class='docs doc-strings'>
|
|
<div class='section-link'>
|
|
<a href='#section-91'>#</a>
|
|
</div>
|
|
<h3>Initialize the auto-regressive model</h3>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">288</span><span class="nd">@option</span><span class="p">(</span><span class="n">Configs</span><span class="o">.</span><span class="n">model</span><span class="p">)</span>
|
|
<span class="lineno">289</span><span class="k">def</span> <span class="nf">autoregressive_model</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">Configs</span><span class="p">):</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-92'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-92'>#</a>
|
|
</div>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">293</span> <span class="kn">from</span> <span class="nn">labml_nn.transformers.xl</span> <span class="kn">import</span> <span class="n">RelativeMultiHeadAttention</span>
|
|
<span class="lineno">294</span> <span class="kn">from</span> <span class="nn">labml_nn.transformers.feed_forward</span> <span class="kn">import</span> <span class="n">FeedForward</span>
|
|
<span class="lineno">295</span> <span class="n">m</span> <span class="o">=</span> <span class="n">AutoregressiveModel</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">n_tokens</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="n">CompressiveTransformer</span><span class="p">(</span>
|
|
<span class="lineno">296</span> <span class="n">CompressiveTransformerLayer</span><span class="p">(</span><span class="n">d_model</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">d_model</span><span class="p">,</span>
|
|
<span class="lineno">297</span> <span class="n">self_attn</span><span class="o">=</span><span class="n">RelativeMultiHeadAttention</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">heads</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="n">c</span><span class="o">.</span><span class="n">dropout</span><span class="p">),</span>
|
|
<span class="lineno">298</span> <span class="n">feed_forward</span><span class="o">=</span><span class="n">FeedForward</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="n">c</span><span class="o">.</span><span class="n">d_ff</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">dropout</span><span class="p">),</span>
|
|
<span class="lineno">299</span> <span class="n">dropout_prob</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">dropout</span><span class="p">,</span>
|
|
<span class="lineno">300</span> <span class="n">compress</span><span class="o">=</span><span class="n">Conv1dCompression</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">compression_rate</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="n">c</span><span class="o">.</span><span class="n">n_layers</span><span class="p">))</span>
|
|
<span class="lineno">301</span> <span class="k">return</span> <span class="n">m</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-93'>
|
|
<div class='docs doc-strings'>
|
|
<div class='section-link'>
|
|
<a href='#section-93'>#</a>
|
|
</div>
|
|
<h3>Initialize the attention reconstruction loss</h3>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">304</span><span class="nd">@option</span><span class="p">(</span><span class="n">Configs</span><span class="o">.</span><span class="n">attention_reconstruction_loss</span><span class="p">)</span>
|
|
<span class="lineno">305</span><span class="k">def</span> <span class="nf">attention_reconstruction_loss</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">Configs</span><span class="p">):</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-94'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-94'>#</a>
|
|
</div>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">309</span> <span class="k">return</span> <span class="n">AttentionReconstructionLoss</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">transformer</span><span class="o">.</span><span class="n">layers</span><span class="p">)</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-95'>
|
|
<div class='docs doc-strings'>
|
|
<div class='section-link'>
|
|
<a href='#section-95'>#</a>
|
|
</div>
|
|
<h3>Run the experiment</h3>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">312</span><span class="k">def</span> <span class="nf">main</span><span class="p">():</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-96'>
|
|
<div class='docs'>
|
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<div class='section-link'>
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<a href='#section-96'>#</a>
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</div>
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<p>Create experiment</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">317</span> <span class="n">experiment</span><span class="o">.</span><span class="n">create</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"compressive_transformer"</span><span class="p">,</span> <span class="n">comment</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-97'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-97'>#</a>
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</div>
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<p>Create configs</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">319</span> <span class="n">conf</span> <span class="o">=</span> <span class="n">Configs</span><span class="p">()</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-98'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-98'>#</a>
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</div>
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<p>Load configurations</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">321</span> <span class="n">experiment</span><span class="o">.</span><span class="n">configs</span><span class="p">(</span><span class="n">conf</span><span class="p">,</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-99'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-99'>#</a>
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</div>
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<p>A dictionary of configurations to override</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">323</span> <span class="p">{</span><span class="s1">'tokenizer'</span><span class="p">:</span> <span class="s1">'character'</span><span class="p">,</span>
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<span class="lineno">324</span> <span class="s1">'text'</span><span class="p">:</span> <span class="s1">'tiny_shakespeare'</span><span class="p">,</span>
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<span class="lineno">325</span> <span class="s1">'optimizer.learning_rate'</span><span class="p">:</span> <span class="mf">2.5e-4</span><span class="p">,</span>
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<span class="lineno">326</span> <span class="s1">'optimizer.optimizer'</span><span class="p">:</span> <span class="s1">'AdamW'</span><span class="p">,</span>
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<span class="lineno">327</span> <span class="s1">'prompt'</span><span class="p">:</span> <span class="s1">'It is'</span><span class="p">,</span>
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<span class="lineno">328</span> <span class="s1">'prompt_separator'</span><span class="p">:</span> <span class="s1">''</span><span class="p">,</span>
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<span class="lineno">329</span>
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<span class="lineno">330</span> <span class="s1">'train_loader'</span><span class="p">:</span> <span class="s1">'sequential_train_loader'</span><span class="p">,</span>
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<span class="lineno">331</span> <span class="s1">'valid_loader'</span><span class="p">:</span> <span class="s1">'sequential_valid_loader'</span><span class="p">,</span>
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<span class="lineno">332</span>
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<span class="lineno">333</span> <span class="s1">'seq_len'</span><span class="p">:</span> <span class="mi">8</span><span class="p">,</span>
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<span class="lineno">334</span> <span class="s1">'mem_len'</span><span class="p">:</span> <span class="mi">8</span><span class="p">,</span>
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<span class="lineno">335</span> <span class="s1">'epochs'</span><span class="p">:</span> <span class="mi">128</span><span class="p">,</span>
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<span class="lineno">336</span> <span class="s1">'batch_size'</span><span class="p">:</span> <span class="mi">32</span><span class="p">,</span>
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<span class="lineno">337</span> <span class="s1">'inner_iterations'</span><span class="p">:</span> <span class="mi">25</span><span class="p">,</span>
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<span class="lineno">338</span> <span class="s1">'compression_rate'</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span>
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<span class="lineno">339</span> <span class="p">})</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-100'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-100'>#</a>
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</div>
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<p>Set models for saving and loading</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">342</span> <span class="n">experiment</span><span class="o">.</span><span class="n">add_pytorch_models</span><span class="p">({</span><span class="s1">'model'</span><span class="p">:</span> <span class="n">conf</span><span class="o">.</span><span class="n">model</span><span class="p">})</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-101'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-101'>#</a>
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</div>
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<p>Start the experiment</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">345</span> <span class="k">with</span> <span class="n">experiment</span><span class="o">.</span><span class="n">start</span><span class="p">():</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-102'>
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<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-102'>#</a>
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</div>
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<p><code>TrainValidConfigs.run</code></p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">347</span> <span class="n">conf</span><span class="o">.</span><span class="n">run</span><span class="p">()</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-103'>
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<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-103'>#</a>
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</div>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">351</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">'__main__'</span><span class="p">:</span>
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<span class="lineno">352</span> <span class="n">main</span><span class="p">()</span></pre></div>
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