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Varuna Jayasiri 77bf55e03a 🤦‍♂️ fix
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<h1>Configurable Transformer Components</h1>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">9</span><span></span><span class="kn">import</span> <span class="nn">copy</span>
<span class="lineno">10</span>
<span class="lineno">11</span><span class="kn">import</span> <span class="nn">torch.nn</span> <span class="k">as</span> <span class="nn">nn</span>
<span class="lineno">12</span>
<span class="lineno">13</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">BaseConfigs</span><span class="p">,</span> <span class="n">option</span><span class="p">,</span> <span class="n">calculate</span><span class="p">,</span> <span class="n">aggregate</span>
<span class="lineno">14</span><span class="kn">from</span> <span class="nn">labml_helpers.module</span> <span class="kn">import</span> <span class="n">Module</span>
<span class="lineno">15</span><span class="kn">from</span> <span class="nn">.feed_forward</span> <span class="kn">import</span> <span class="n">FeedForward</span>
<span class="lineno">16</span><span class="kn">from</span> <span class="nn">.mha</span> <span class="kn">import</span> <span class="n">MultiHeadAttention</span>
<span class="lineno">17</span><span class="kn">from</span> <span class="nn">.models</span> <span class="kn">import</span> <span class="n">EmbeddingsWithPositionalEncoding</span><span class="p">,</span> <span class="n">EmbeddingsWithLearnedPositionalEncoding</span><span class="p">,</span> <span class="n">TransformerLayer</span><span class="p">,</span> \
<span class="lineno">18</span> <span class="n">Encoder</span><span class="p">,</span> <span class="n">Decoder</span><span class="p">,</span> <span class="n">Generator</span><span class="p">,</span> <span class="n">EncoderDecoder</span></pre></div>
</div>
</div>
<div class='section' id='section-1'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-1'>#</a>
</div>
<p><a id="FFN"></p>
<h2>FFN Configurations</h2>
<p></a></p>
<p>Creates a Position-wise FeedForward Network defined in
<a href="feed_forward.html"><code>feed_forward.py</code></a>.</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">21</span><span class="k">class</span> <span class="nc">FeedForwardConfigs</span><span class="p">(</span><span class="n">BaseConfigs</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-2'>
<div class='docs'>
<div class='section-link'>
<a href='#section-2'>#</a>
</div>
<p>Position-wise feedforward layer</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">31</span> <span class="n">ffn</span><span class="p">:</span> <span class="n">FeedForward</span></pre></div>
</div>
</div>
<div class='section' id='section-3'>
<div class='docs'>
<div class='section-link'>
<a href='#section-3'>#</a>
</div>
<p>Number of features in the embedding</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">33</span> <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span></pre></div>
</div>
</div>
<div class='section' id='section-4'>
<div class='docs'>
<div class='section-link'>
<a href='#section-4'>#</a>
</div>
<p>Number of features in in the hidden layer</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">35</span> <span class="n">d_ff</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">2048</span></pre></div>
</div>
</div>
<div class='section' id='section-5'>
<div class='docs'>
<div class='section-link'>
<a href='#section-5'>#</a>
</div>
<p>Dropout probability</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">37</span> <span class="n">dropout</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.1</span></pre></div>
</div>
</div>
<div class='section' id='section-6'>
<div class='docs'>
<div class='section-link'>
<a href='#section-6'>#</a>
</div>
<p>Activation in position-wise feedforward layer</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">39</span> <span class="n">activation</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span> <span class="o">=</span> <span class="s1">&#39;ReLU&#39;</span></pre></div>
</div>
</div>
<div class='section' id='section-7'>
<div class='docs'>
<div class='section-link'>
<a href='#section-7'>#</a>
</div>
<p>Whether the FFN layer should be gated</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">41</span> <span class="n">is_gated</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span></pre></div>
</div>
</div>
<div class='section' id='section-8'>
<div class='docs'>
<div class='section-link'>
<a href='#section-8'>#</a>
</div>
<p>Whether the first fully connected layer should have a learnable bias</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">43</span> <span class="n">bias1</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span></pre></div>
</div>
</div>
<div class='section' id='section-9'>
<div class='docs'>
<div class='section-link'>
<a href='#section-9'>#</a>
</div>
<p>Whether the second fully connected layer should have a learnable bias</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">45</span> <span class="n">bias2</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span></pre></div>
</div>
</div>
<div class='section' id='section-10'>
<div class='docs'>
<div class='section-link'>
<a href='#section-10'>#</a>
</div>
<p>Whether the fully connected layer for the gate should have a learnable bias</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">47</span> <span class="n">bias_gate</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span></pre></div>
</div>
</div>
<div class='section' id='section-11'>
<div class='docs'>
<div class='section-link'>
<a href='#section-11'>#</a>
</div>
<p>Predefined GLU variants</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">49</span> <span class="n">glu_variant</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;none&#39;</span></pre></div>
</div>
</div>
<div class='section' id='section-12'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-12'>#</a>
</div>
<h3>ReLU activation</h3>
<p>
<script type="math/tex; mode=display">\max(0, x)</script>
</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">52</span><span class="nd">@option</span><span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">activation</span><span class="p">,</span> <span class="s1">&#39;ReLU&#39;</span><span class="p">)</span>
<span class="lineno">53</span><span class="k">def</span> <span class="nf">_ffn_activation_relu</span><span class="p">():</span></pre></div>
</div>
</div>
<div class='section' id='section-13'>
<div class='docs'>
<div class='section-link'>
<a href='#section-13'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">59</span> <span class="k">return</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-14'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-14'>#</a>
</div>
<h3>GELU activation</h3>
<p>
<script type="math/tex; mode=display">x \Phi(x)</script> where $\Phi(x) = P(X \le x), X \sim \mathcal{N}(0,1)$</p>
<p>It was introduced in paper <a href="https://papers.labml.ai/paper/1606.08415">Gaussian Error Linear Units</a>.</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">62</span><span class="nd">@option</span><span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">activation</span><span class="p">,</span> <span class="s1">&#39;GELU&#39;</span><span class="p">)</span>
<span class="lineno">63</span><span class="k">def</span> <span class="nf">_ffn_activation_gelu</span><span class="p">():</span></pre></div>
</div>
</div>
<div class='section' id='section-15'>
<div class='docs'>
<div class='section-link'>
<a href='#section-15'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">71</span> <span class="k">return</span> <span class="n">nn</span><span class="o">.</span><span class="n">GELU</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-16'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-16'>#</a>
</div>
<p>Initialize a <a href="feed_forward.html">feed forward network</a></p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">74</span><span class="nd">@option</span><span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">ffn</span><span class="p">,</span> <span class="s1">&#39;default&#39;</span><span class="p">)</span>
<span class="lineno">75</span><span class="k">def</span> <span class="nf">_feed_forward</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">FeedForwardConfigs</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-17'>
<div class='docs'>
<div class='section-link'>
<a href='#section-17'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">79</span> <span class="k">return</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="lineno">80</span> <span class="n">dropout</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">81</span> <span class="n">activation</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">activation</span><span class="p">,</span>
<span class="lineno">82</span> <span class="n">is_gated</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">is_gated</span><span class="p">,</span>
<span class="lineno">83</span> <span class="n">bias1</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">bias1</span><span class="p">,</span>
<span class="lineno">84</span> <span class="n">bias2</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">bias2</span><span class="p">,</span>
<span class="lineno">85</span> <span class="n">bias_gate</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">bias_gate</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-18'>
<div class='docs'>
<div class='section-link'>
<a href='#section-18'>#</a>
</div>
<h2>GLU Variants</h2>
<p>These are variants with gated hidden layers for the FFN
as introduced in paper <a href="https://papers.labml.ai/paper/2002.05202">GLU Variants Improve Transformer</a>.
We have omitted the bias terms as specified in the paper.</p>
</div>
<div class='code'>
<div class="highlight"><pre></pre></div>
</div>
</div>
<div class='section' id='section-19'>
<div class='docs'>
<div class='section-link'>
<a href='#section-19'>#</a>
</div>
<h3>FFN with Gated Linear Units</h3>
<p>
<script type="math/tex; mode=display">FFN_{GLU}(x)(x, W_1, V, W_2) = (\sigma(x W_1) \otimes x V) W_2</script>
</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">95</span><span class="n">aggregate</span><span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">glu_variant</span><span class="p">,</span> <span class="s1">&#39;GLU&#39;</span><span class="p">,</span>
<span class="lineno">96</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">is_gated</span><span class="p">,</span> <span class="kc">True</span><span class="p">),</span>
<span class="lineno">97</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">bias1</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
<span class="lineno">98</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">bias2</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
<span class="lineno">99</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">bias_gate</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
<span class="lineno">100</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">activation</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sigmoid</span><span class="p">()))</span></pre></div>
</div>
</div>
<div class='section' id='section-20'>
<div class='docs'>
<div class='section-link'>
<a href='#section-20'>#</a>
</div>
<h3>FFN with Bilinear hidden layer</h3>
<p>
<script type="math/tex; mode=display">FFN_{Bilinear}(x)(x, W_1, V, W_2) = (x W_1 \otimes x V) W_2</script>
</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">105</span><span class="n">aggregate</span><span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">glu_variant</span><span class="p">,</span> <span class="s1">&#39;Bilinear&#39;</span><span class="p">,</span>
<span class="lineno">106</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">is_gated</span><span class="p">,</span> <span class="kc">True</span><span class="p">),</span>
<span class="lineno">107</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">bias1</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
<span class="lineno">108</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">bias2</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
<span class="lineno">109</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">bias_gate</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
<span class="lineno">110</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">activation</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Identity</span><span class="p">()))</span></pre></div>
</div>
</div>
<div class='section' id='section-21'>
<div class='docs'>
<div class='section-link'>
<a href='#section-21'>#</a>
</div>
<h3>FFN with ReLU gate</h3>
<p>
<script type="math/tex; mode=display">FFN_{ReGLU}(x)(x, W_1, V, W_2) = (\max(0, x W_1) \otimes x V) W_2</script>
</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">115</span><span class="n">aggregate</span><span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">glu_variant</span><span class="p">,</span> <span class="s1">&#39;ReGLU&#39;</span><span class="p">,</span>
<span class="lineno">116</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">is_gated</span><span class="p">,</span> <span class="kc">True</span><span class="p">),</span>
<span class="lineno">117</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">bias1</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
<span class="lineno">118</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">bias2</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
<span class="lineno">119</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">bias_gate</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
<span class="lineno">120</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">activation</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()))</span></pre></div>
</div>
</div>
<div class='section' id='section-22'>
<div class='docs'>
<div class='section-link'>
<a href='#section-22'>#</a>
</div>
<h3>FFN with GELU gate</h3>
<p>
<script type="math/tex; mode=display">FFN_{GEGLU}(x)(x, W_1, V, W_2) = (\text{GELU}(x W_1) \otimes x V) W_2</script>
</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">125</span><span class="n">aggregate</span><span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">glu_variant</span><span class="p">,</span> <span class="s1">&#39;GEGLU&#39;</span><span class="p">,</span>
<span class="lineno">126</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">is_gated</span><span class="p">,</span> <span class="kc">True</span><span class="p">),</span>
<span class="lineno">127</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">bias1</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
<span class="lineno">128</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">bias2</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
<span class="lineno">129</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">bias_gate</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
<span class="lineno">130</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">activation</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">GELU</span><span class="p">()))</span></pre></div>
</div>
</div>
<div class='section' id='section-23'>
<div class='docs'>
<div class='section-link'>
<a href='#section-23'>#</a>
</div>
<h3>FFN with Swish gate</h3>
<p>
<script type="math/tex; mode=display">FFN_{SwiGLU}(x)(x, W_1, V, W_2) = (\text{Swish}_1(x W_1) \otimes x V) W_2</script>
where $\text{Swish}_\beta(x) = x \sigma(\beta x)$</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">136</span><span class="n">aggregate</span><span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">glu_variant</span><span class="p">,</span> <span class="s1">&#39;SwiGLU&#39;</span><span class="p">,</span>
<span class="lineno">137</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">is_gated</span><span class="p">,</span> <span class="kc">True</span><span class="p">),</span>
<span class="lineno">138</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">bias1</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
<span class="lineno">139</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">bias2</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
<span class="lineno">140</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">bias_gate</span><span class="p">,</span> <span class="kc">False</span><span class="p">),</span>
<span class="lineno">141</span> <span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">activation</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">SiLU</span><span class="p">()))</span></pre></div>
</div>
</div>
<div class='section' id='section-24'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-24'>#</a>
</div>
<p><a id="TransformerConfigs"></p>
<h2>Transformer Configurations</h2>
<p></a></p>
<p>This defines configurations for a transformer.
The configurations are calculate using option functions.
These are lazy loaded and therefore only the necessary modules
are calculated.</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">144</span><span class="k">class</span> <span class="nc">TransformerConfigs</span><span class="p">(</span><span class="n">BaseConfigs</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-25'>
<div class='docs'>
<div class='section-link'>
<a href='#section-25'>#</a>
</div>
<p>Number of attention heads</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">156</span> <span class="n">n_heads</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-26'>
<div class='docs'>
<div class='section-link'>
<a href='#section-26'>#</a>
</div>
<p>Transformer embedding size</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">158</span> <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">512</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>Number of layers</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">160</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-28'>
<div class='docs'>
<div class='section-link'>
<a href='#section-28'>#</a>
</div>
<p>Dropout probability</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">162</span> <span class="n">dropout</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.1</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>Number of tokens in the source vocabulary (for token embeddings)</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">164</span> <span class="n">n_src_vocab</span><span class="p">:</span> <span class="nb">int</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>Number of tokens in the target vocabulary (to generate logits for prediction)</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">166</span> <span class="n">n_tgt_vocab</span><span class="p">:</span> <span class="nb">int</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>The encoder self attention</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">169</span> <span class="n">encoder_attn</span><span class="p">:</span> <span class="n">MultiHeadAttention</span> <span class="o">=</span> <span class="s1">&#39;mha&#39;</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>The decoder self attention</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">171</span> <span class="n">decoder_attn</span><span class="p">:</span> <span class="n">MultiHeadAttention</span> <span class="o">=</span> <span class="s1">&#39;mha&#39;</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>The decoder memory attention</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">173</span> <span class="n">decoder_mem_attn</span><span class="p">:</span> <span class="n">MultiHeadAttention</span> <span class="o">=</span> <span class="s1">&#39;mha&#39;</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>Configurable Feedforward Layer</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">176</span> <span class="n">ffn</span><span class="p">:</span> <span class="n">FeedForwardConfigs</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>Encoder layer</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">179</span> <span class="n">encoder_layer</span><span class="p">:</span> <span class="n">TransformerLayer</span> <span class="o">=</span> <span class="s1">&#39;default&#39;</span></pre></div>
</div>
</div>
<div class='section' id='section-36'>
<div class='docs'>
<div class='section-link'>
<a href='#section-36'>#</a>
</div>
<p>Decoder layer</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">181</span> <span class="n">decoder_layer</span><span class="p">:</span> <span class="n">TransformerLayer</span> <span class="o">=</span> <span class="s1">&#39;default&#39;</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>Encoder consisting of multiple encoder layers</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">184</span> <span class="n">encoder</span><span class="p">:</span> <span class="n">Encoder</span> <span class="o">=</span> <span class="s1">&#39;default&#39;</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>Encoder consisting of multiple decoder layers</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">186</span> <span class="n">decoder</span><span class="p">:</span> <span class="n">Decoder</span> <span class="o">=</span> <span class="s1">&#39;default&#39;</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>Embedding layer for source</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">189</span> <span class="n">src_embed</span><span class="p">:</span> <span class="n">Module</span> <span class="o">=</span> <span class="s1">&#39;fixed_pos&#39;</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>Embedding layer for target (for decoder)</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">191</span> <span class="n">tgt_embed</span><span class="p">:</span> <span class="n">Module</span> <span class="o">=</span> <span class="s1">&#39;fixed_pos&#39;</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>Logit generator for prediction</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">194</span> <span class="n">generator</span><span class="p">:</span> <span class="n">Generator</span> <span class="o">=</span> <span class="s1">&#39;default&#39;</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>Encoder-decoder</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">197</span> <span class="n">encoder_decoder</span><span class="p">:</span> <span class="n">EncoderDecoder</span></pre></div>
</div>
</div>
<div class='section' id='section-43'>
<div class='docs'>
<div class='section-link'>
<a href='#section-43'>#</a>
</div>
<h3>Multi-head Attention</h3>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">201</span><span class="k">def</span> <span class="nf">_mha</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</span><span class="p">):</span>
<span class="lineno">202</span> <span class="k">return</span> <span class="n">MultiHeadAttention</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">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">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">203</span>
<span class="lineno">204</span>
<span class="lineno">205</span><span class="n">calculate</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">encoder_attn</span><span class="p">,</span> <span class="s1">&#39;mha&#39;</span><span class="p">,</span> <span class="n">_mha</span><span class="p">)</span>
<span class="lineno">206</span><span class="n">calculate</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">decoder_attn</span><span class="p">,</span> <span class="s1">&#39;mha&#39;</span><span class="p">,</span> <span class="n">_mha</span><span class="p">)</span>
<span class="lineno">207</span><span class="n">calculate</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">decoder_mem_attn</span><span class="p">,</span> <span class="s1">&#39;mha&#39;</span><span class="p">,</span> <span class="n">_mha</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-44'>
<div class='docs'>
<div class='section-link'>
<a href='#section-44'>#</a>
</div>
<h3>Relative Multi-head Attention</h3>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">211</span><span class="k">def</span> <span class="nf">_relative_mha</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</span><span class="p">):</span>
<span class="lineno">212</span> <span class="kn">from</span> <span class="nn">labml_nn.transformers.xl.relative_mha</span> <span class="kn">import</span> <span class="n">RelativeMultiHeadAttention</span>
<span class="lineno">213</span> <span class="k">return</span> <span class="n">RelativeMultiHeadAttention</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">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="lineno">214</span>
<span class="lineno">215</span>
<span class="lineno">216</span><span class="n">calculate</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">encoder_attn</span><span class="p">,</span> <span class="s1">&#39;relative&#39;</span><span class="p">,</span> <span class="n">_relative_mha</span><span class="p">)</span>
<span class="lineno">217</span><span class="n">calculate</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">decoder_attn</span><span class="p">,</span> <span class="s1">&#39;relative&#39;</span><span class="p">,</span> <span class="n">_relative_mha</span><span class="p">)</span>
<span class="lineno">218</span><span class="n">calculate</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">decoder_mem_attn</span><span class="p">,</span> <span class="s1">&#39;relative&#39;</span><span class="p">,</span> <span class="n">_relative_mha</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-45'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-45'>#</a>
</div>
<p>Create feedforward layer configurations</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">221</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">ffn</span><span class="p">,</span> <span class="s1">&#39;default&#39;</span><span class="p">)</span>
<span class="lineno">222</span><span class="k">def</span> <span class="nf">_feed_forward</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</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>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">226</span> <span class="n">conf</span> <span class="o">=</span> <span class="n">FeedForwardConfigs</span><span class="p">()</span>
<span class="lineno">227</span> <span class="n">conf</span><span class="o">.</span><span class="n">set_default</span><span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">d_model</span><span class="p">,</span> <span class="n">func</span><span class="o">=</span><span class="k">lambda</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="lineno">228</span> <span class="n">conf</span><span class="o">.</span><span class="n">set_default</span><span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">dropout</span><span class="p">,</span> <span class="n">func</span><span class="o">=</span><span class="k">lambda</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">229</span> <span class="k">return</span> <span class="n">conf</span></pre></div>
</div>
</div>
<div class='section' id='section-47'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-47'>#</a>
</div>
<p>Encoder layer</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">232</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">encoder_layer</span><span class="p">,</span> <span class="s1">&#39;default&#39;</span><span class="p">)</span>
<span class="lineno">233</span><span class="k">def</span> <span class="nf">_encoder_layer</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</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>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">237</span> <span class="k">return</span> <span class="n">TransformerLayer</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="n">self_attn</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">encoder_attn</span><span class="p">,</span>
<span class="lineno">238</span> <span class="n">src_attn</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">feed_forward</span><span class="o">=</span><span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">ffn</span><span class="o">.</span><span class="n">ffn</span><span class="p">),</span>
<span class="lineno">239</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></pre></div>
</div>
</div>
<div class='section' id='section-49'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-49'>#</a>
</div>
<p>Decoder layer</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">242</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">decoder_layer</span><span class="p">,</span> <span class="s1">&#39;default&#39;</span><span class="p">)</span>
<span class="lineno">243</span><span class="k">def</span> <span class="nf">_decoder_layer</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</span><span class="p">):</span></pre></div>
</div>
</div>
<div class='section' id='section-50'>
<div class='docs'>
<div class='section-link'>
<a href='#section-50'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">247</span> <span class="k">return</span> <span class="n">TransformerLayer</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="n">self_attn</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">decoder_attn</span><span class="p">,</span>
<span class="lineno">248</span> <span class="n">src_attn</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">decoder_mem_attn</span><span class="p">,</span> <span class="n">feed_forward</span><span class="o">=</span><span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">ffn</span><span class="o">.</span><span class="n">ffn</span><span class="p">),</span>
<span class="lineno">249</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></pre></div>
</div>
</div>
<div class='section' id='section-51'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-51'>#</a>
</div>
<p>Encoder</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">252</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">encoder</span><span class="p">,</span> <span class="s1">&#39;default&#39;</span><span class="p">)</span>
<span class="lineno">253</span><span class="k">def</span> <span class="nf">_encoder</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</span><span class="p">):</span></pre></div>
</div>
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<div class='code'>
<div class="highlight"><pre><span class="lineno">257</span> <span class="k">return</span> <span class="n">Encoder</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">encoder_layer</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">n_layers</span><span class="p">)</span></pre></div>
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<div class='section' id='section-53'>
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<p>Decoder</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">260</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">decoder</span><span class="p">,</span> <span class="s1">&#39;default&#39;</span><span class="p">)</span>
<span class="lineno">261</span><span class="k">def</span> <span class="nf">_decoder</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</span><span class="p">):</span></pre></div>
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</div>
<div class='section' id='section-54'>
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<a href='#section-54'>#</a>
</div>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">265</span> <span class="k">return</span> <span class="n">Decoder</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">decoder_layer</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">n_layers</span><span class="p">)</span></pre></div>
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<p>Logit generator</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">268</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">generator</span><span class="p">,</span> <span class="s1">&#39;default&#39;</span><span class="p">)</span>
<span class="lineno">269</span><span class="k">def</span> <span class="nf">_generator</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</span><span class="p">):</span></pre></div>
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</div>
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<div class='code'>
<div class="highlight"><pre><span class="lineno">273</span> <span class="k">return</span> <span class="n">Generator</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">n_tgt_vocab</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">d_model</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-57'>
<div class='docs doc-strings'>
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<h3>Fixed Positional Embeddings</h3>
<p>Source embedding with fixed positional encodings</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">277</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">src_embed</span><span class="p">,</span> <span class="s1">&#39;fixed_pos&#39;</span><span class="p">)</span>
<span class="lineno">278</span><span class="k">def</span> <span class="nf">_src_embed_with_positional</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</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>
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</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">282</span> <span class="k">return</span> <span class="n">EmbeddingsWithPositionalEncoding</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_src_vocab</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-59'>
<div class='docs doc-strings'>
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<a href='#section-59'>#</a>
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<p>Target embedding with fixed positional encodings</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">285</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">tgt_embed</span><span class="p">,</span> <span class="s1">&#39;fixed_pos&#39;</span><span class="p">)</span>
<span class="lineno">286</span><span class="k">def</span> <span class="nf">_tgt_embed_with_positional</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</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>
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<div class='code'>
<div class="highlight"><pre><span class="lineno">290</span> <span class="k">return</span> <span class="n">EmbeddingsWithPositionalEncoding</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_tgt_vocab</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-61'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-61'>#</a>
</div>
<h3>Learned Positional Embeddings</h3>
<p>Source embedding with learned positional encodings</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">294</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">src_embed</span><span class="p">,</span> <span class="s1">&#39;learned_pos&#39;</span><span class="p">)</span>
<span class="lineno">295</span><span class="k">def</span> <span class="nf">_src_embed_with_learned_positional</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</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>
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<div class='code'>
<div class="highlight"><pre><span class="lineno">299</span> <span class="k">return</span> <span class="n">EmbeddingsWithLearnedPositionalEncoding</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_src_vocab</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-63'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-63'>#</a>
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<p>Target embedding with learned positional encodings</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">302</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">tgt_embed</span><span class="p">,</span> <span class="s1">&#39;learned_pos&#39;</span><span class="p">)</span>
<span class="lineno">303</span><span class="k">def</span> <span class="nf">_tgt_embed_with_learned_positional</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</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>
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</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">307</span> <span class="k">return</span> <span class="n">EmbeddingsWithLearnedPositionalEncoding</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_tgt_vocab</span><span class="p">)</span></pre></div>
</div>
</div>
<div class='section' id='section-65'>
<div class='docs doc-strings'>
<div class='section-link'>
<a href='#section-65'>#</a>
</div>
<h3>No Positional Embeddings</h3>
<p>Source embedding without positional encodings</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">311</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">src_embed</span><span class="p">,</span> <span class="s1">&#39;no_pos&#39;</span><span class="p">)</span>
<span class="lineno">312</span><span class="k">def</span> <span class="nf">_src_embed_without_positional</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</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>
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<div class='code'>
<div class="highlight"><pre><span class="lineno">316</span> <span class="k">return</span> <span class="n">nn</span><span class="o">.</span><span class="n">Embedding</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">n_src_vocab</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">d_model</span><span class="p">)</span></pre></div>
</div>
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<div class='section' id='section-67'>
<div class='docs'>
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<a href='#section-67'>#</a>
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</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">319</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">tgt_embed</span><span class="p">,</span> <span class="s1">&#39;no_pos&#39;</span><span class="p">)</span>
<span class="lineno">320</span><span class="k">def</span> <span class="nf">_tgt_embed_without_positional</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</span><span class="p">):</span>
<span class="lineno">321</span> <span class="k">return</span> <span class="n">nn</span><span class="o">.</span><span class="n">Embedding</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">n_tgt_vocab</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="lineno">322</span>
<span class="lineno">323</span>
<span class="lineno">324</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">encoder_decoder</span><span class="p">,</span> <span class="s1">&#39;default&#39;</span><span class="p">)</span>
<span class="lineno">325</span><span class="k">def</span> <span class="nf">_encoder_decoder</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</span><span class="p">):</span>
<span class="lineno">326</span> <span class="k">return</span> <span class="n">EncoderDecoder</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">encoder</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">decoder</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">src_embed</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">tgt_embed</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">generator</span><span class="p">)</span></pre></div>
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