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<h1><a href="index.html">FNet</a> Experiment</h1>
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<p>This is an annotated PyTorch experiment to train a <a href="index.html">FNet model</a>.</p>
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<p>This is based on
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<a href="../../experiments/nlp_classification.html">general training loop and configurations for AG News classification task</a>.</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">15</span><span></span><span class="kn">import</span> <span class="nn">torch</span>
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<span class="lineno">16</span><span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">nn</span>
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<span class="lineno">17</span>
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<span class="lineno">18</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">experiment</span>
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<span class="lineno">19</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">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_nn.experiments.nlp_classification</span> <span class="kn">import</span> <span class="n">NLPClassificationConfigs</span>
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<span class="lineno">22</span><span class="kn">from</span> <span class="nn">labml_nn.transformers</span> <span class="kn">import</span> <span class="n">Encoder</span>
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<span class="lineno">23</span><span class="kn">from</span> <span class="nn">labml_nn.transformers</span> <span class="kn">import</span> <span class="n">TransformerConfigs</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 doc-strings'>
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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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<h1>Transformer based classifier model</h1>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">26</span><span class="k">class</span> <span class="nc">TransformerClassifier</span><span class="p">(</span><span class="n">nn</span><span class="o">.</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-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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<ul>
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<li><code>encoder</code> is the transformer <a href="../models.html#Encoder">Encoder</a></li>
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<li><code>src_embed</code> is the token
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<a href="../models.html#EmbeddingsWithLearnedPositionalEncoding">embedding module (with positional encodings)</a></li>
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<li><code>generator</code> is the <a href="../models.html#Generator">final fully connected layer</a> that gives the logits.</li>
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</ul>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">30</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">encoder</span><span class="p">:</span> <span class="n">Encoder</span><span class="p">,</span> <span class="n">src_embed</span><span class="p">:</span> <span class="n">Module</span><span class="p">,</span> <span class="n">generator</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</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="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
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<span class="lineno">38</span> <span class="bp">self</span><span class="o">.</span><span class="n">src_embed</span> <span class="o">=</span> <span class="n">src_embed</span>
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<span class="lineno">39</span> <span class="bp">self</span><span class="o">.</span><span class="n">encoder</span> <span class="o">=</span> <span class="n">encoder</span>
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<span class="lineno">40</span> <span class="bp">self</span><span class="o">.</span><span class="n">generator</span> <span class="o">=</span> <span class="n">generator</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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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">42</span> <span class="k">def</span> <span class="nf">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></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>Get the token embeddings with positional encodings</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="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-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>Transformer encoder</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="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">encoder</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="kc">None</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>Get logits for classification.</p>
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<p>We set the <code>[CLS]</code> token at the last position of the sequence.
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This is extracted by <code>x[-1]</code>, where <code>x</code> is of
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shape <code>[seq_len, batch_size, d_model]</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">52</span> <span class="n">x</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">x</span><span class="p">[</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-8'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-8'>#</a>
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</div>
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<p>Return results
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(second value is for state, since our trainer is used with RNNs also)</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">56</span> <span class="k">return</span> <span class="n">x</span><span class="p">,</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-9'>
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<div class='docs doc-strings'>
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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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<h2>Configurations</h2>
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<p>This inherits from
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<a href="../../experiments/nlp_classification.html"><code>NLPClassificationConfigs</code></a></p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">59</span><span class="k">class</span> <span class="nc">Configs</span><span class="p">(</span><span class="n">NLPClassificationConfigs</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>Classification 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">68</span> <span class="n">model</span><span class="p">:</span> <span class="n">TransformerClassifier</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>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">70</span> <span class="n">transformer</span><span class="p">:</span> <span class="n">TransformerConfigs</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 doc-strings'>
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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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<h3>Transformer configurations</h3>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">73</span><span class="nd">@option</span><span class="p">(</span><span class="n">Configs</span><span class="o">.</span><span class="n">transformer</span><span class="p">)</span>
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<span class="lineno">74</span><span class="k">def</span> <span class="nf">_transformer_configs</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">Configs</span><span class="p">):</span></pre></div>
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</div>
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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>We use our
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<a href="../configs.html#TransformerConfigs">configurable transformer implementation</a></p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">81</span> <span class="n">conf</span> <span class="o">=</span> <span class="n">TransformerConfigs</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>Set the vocabulary sizes for embeddings and generating logits</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">83</span> <span class="n">conf</span><span class="o">.</span><span class="n">n_src_vocab</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">n_tokens</span>
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<span class="lineno">84</span> <span class="n">conf</span><span class="o">.</span><span class="n">n_tgt_vocab</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">n_tokens</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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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">87</span> <span class="k">return</span> <span class="n">conf</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 doc-strings'>
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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>Create <code>FNetMix</code> module that can replace the self-attention in
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<a href="../models.html#TransformerLayer">transformer encoder layer</a>
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.</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">90</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">encoder_attn</span><span class="p">)</span>
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<span class="lineno">91</span><span class="k">def</span> <span class="nf">fnet_mix</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'>
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<div class='section-link'>
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<a href='#section-17'>#</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">97</span> <span class="kn">from</span> <span class="nn">labml_nn.transformers.fnet</span> <span class="kn">import</span> <span class="n">FNetMix</span>
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<span class="lineno">98</span> <span class="k">return</span> <span class="n">FNetMix</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 doc-strings'>
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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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<p>Create classification 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">101</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>
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<span class="lineno">102</span><span class="k">def</span> <span class="nf">_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>
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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'>
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<div class='section-link'>
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<a href='#section-19'>#</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">106</span> <span class="n">m</span> <span class="o">=</span> <span class="n">TransformerClassifier</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">transformer</span><span class="o">.</span><span class="n">encoder</span><span class="p">,</span>
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<span class="lineno">107</span> <span class="n">c</span><span class="o">.</span><span class="n">transformer</span><span class="o">.</span><span class="n">src_embed</span><span class="p">,</span>
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<span class="lineno">108</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">d_model</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">n_classes</span><span class="p">))</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>
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<span class="lineno">109</span>
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<span class="lineno">110</span> <span class="k">return</span> <span class="n">m</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-20'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-20'>#</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">113</span><span class="k">def</span> <span class="nf">main</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-21'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-21'>#</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">115</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">"fnet"</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-22'>
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<div class='docs'>
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|
<div class='section-link'>
|
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<a href='#section-22'>#</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">117</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-23'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-23'>#</a>
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</div>
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<p>Override 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">119</span> <span class="n">experiment</span><span class="o">.</span><span class="n">configs</span><span class="p">(</span><span class="n">conf</span><span class="p">,</span> <span class="p">{</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-24'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-24'>#</a>
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</div>
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<p>Use world level tokenizer</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">121</span> <span class="s1">'tokenizer'</span><span class="p">:</span> <span class="s1">'basic_english'</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-25'>
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<div class='docs'>
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<div class='section-link'>
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<a href='#section-25'>#</a>
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</div>
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<p>Train for $32$ epochs</p>
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</div>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">124</span> <span class="s1">'epochs'</span><span class="p">:</span> <span class="mi">32</span><span class="p">,</span></pre></div>
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</div>
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</div>
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<div class='section' id='section-26'>
|
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<div class='docs'>
|
|
<div class='section-link'>
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<a href='#section-26'>#</a>
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</div>
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|
<p>Switch between training and validation for $10$ times
|
|
per 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">127</span> <span class="s1">'inner_iterations'</span><span class="p">:</span> <span class="mi">10</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-27'>
|
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<div class='docs'>
|
|
<div class='section-link'>
|
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<a href='#section-27'>#</a>
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</div>
|
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<p>Transformer configurations (same as defaults)</p>
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|
</div>
|
|
<div class='code'>
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|
<div class="highlight"><pre><span class="lineno">130</span> <span class="s1">'transformer.d_model'</span><span class="p">:</span> <span class="mi">512</span><span class="p">,</span>
|
|
<span class="lineno">131</span> <span class="s1">'transformer.ffn.d_ff'</span><span class="p">:</span> <span class="mi">2048</span><span class="p">,</span>
|
|
<span class="lineno">132</span> <span class="s1">'transformer.n_heads'</span><span class="p">:</span> <span class="mi">8</span><span class="p">,</span>
|
|
<span class="lineno">133</span> <span class="s1">'transformer.n_layers'</span><span class="p">:</span> <span class="mi">6</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>Use <a href="index.html">FNet</a> instead of self-a
|
|
ttention</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">137</span> <span class="s1">'transformer.encoder_attn'</span><span class="p">:</span> <span class="s1">'fnet_mix'</span><span class="p">,</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-29'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-29'>#</a>
|
|
</div>
|
|
<p>Use <a href="../../optimizers/noam.html">Noam optimizer</a></p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">140</span> <span class="s1">'optimizer.optimizer'</span><span class="p">:</span> <span class="s1">'Noam'</span><span class="p">,</span>
|
|
<span class="lineno">141</span> <span class="s1">'optimizer.learning_rate'</span><span class="p">:</span> <span class="mf">1.</span><span class="p">,</span>
|
|
<span class="lineno">142</span> <span class="p">})</span></pre></div>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-30'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-30'>#</a>
|
|
</div>
|
|
<p>Set models for saving and loading</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">145</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>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-31'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-31'>#</a>
|
|
</div>
|
|
<p>Start the experiment</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">148</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>
|
|
</div>
|
|
</div>
|
|
<div class='section' id='section-32'>
|
|
<div class='docs'>
|
|
<div class='section-link'>
|
|
<a href='#section-32'>#</a>
|
|
</div>
|
|
<p>Run training</p>
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">150</span> <span class="n">conf</span><span class="o">.</span><span class="n">run</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>
|
|
|
|
</div>
|
|
<div class='code'>
|
|
<div class="highlight"><pre><span class="lineno">154</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">'__main__'</span><span class="p">:</span>
|
|
<span class="lineno">155</span> <span class="n">main</span><span class="p">()</span></pre></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
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</div>
|
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