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‎docs/graphs/gat/index.html

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‎docs/graphs/gatv2/index.html

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‎docs/index.html

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<li><a href="transformers/xl/index.html">Transformer XL</a> </li>
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<li><a href="transformers/xl/relative_mha.html">Relative multi-headed attention</a> </li>
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<li><a href="transformers/rope/index.html">Rotary Positional Embeddings</a> </li>
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<li><a href="transformers/retro/index.html">RETRO</a> </li>
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<li><a href="transformers/compressive/index.html">Compressive Transformer</a> </li>
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<li><a href="transformers/gpt/index.html">GPT Architecture</a> </li>
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<li><a href="transformers/glu_variants/simple.html">GLU Variants</a> </li>

‎docs/sitemap.xml

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‎docs/transformers/index.html

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<p>This implements Transformer XL model using <a href="xl/relative_mha.html">relative multi-head attention</a></p>
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<h2><a href="rope/index.html">Rotary Positional Embeddings</a></h2>
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<p>This implements Rotary Positional Embeddings (RoPE)</p>
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<h2><a href="retro/index.html">RETRO</a></h2>
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<p>This implements the Retrieval-Enhanced Transformer (RETRO).</p>
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<h2><a href="compressive/index.html">Compressive Transformer</a></h2>
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<p>This is an implementation of compressive transformer that extends upon <a href="xl/index.html">Transformer XL</a> by compressing oldest memories to give a longer attention span.</p>
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<h2><a href="gpt/index.html">GPT Architecture</a></h2>
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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></span><span class="kn">from</span> <span class="nn">.configs</span> <span class="kn">import</span> <span class="n">TransformerConfigs</span>
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<span class="lineno">107</span><span class="kn">from</span> <span class="nn">.models</span> <span class="kn">import</span> <span class="n">TransformerLayer</span><span class="p">,</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>
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<span class="lineno">108</span><span class="kn">from</span> <span class="nn">.mha</span> <span class="kn">import</span> <span class="n">MultiHeadAttention</span>
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<span class="lineno">109</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></pre></div>
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<div class="highlight"><pre><span class="lineno">109</span><span></span><span class="kn">from</span> <span class="nn">.configs</span> <span class="kn">import</span> <span class="n">TransformerConfigs</span>
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<span class="lineno">110</span><span class="kn">from</span> <span class="nn">.models</span> <span class="kn">import</span> <span class="n">TransformerLayer</span><span class="p">,</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>
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<span class="lineno">111</span><span class="kn">from</span> <span class="nn">.mha</span> <span class="kn">import</span> <span class="n">MultiHeadAttention</span>
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<span class="lineno">112</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></pre></div>
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‎labml_nn/__init__.py

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* [Transformer XL](transformers/xl/index.html)
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* [Relative multi-headed attention](transformers/xl/relative_mha.html)
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* [Rotary Positional Embeddings](transformers/rope/index.html)
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* [RETRO](transformers/retro/index.html)
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* [Compressive Transformer](transformers/compressive/index.html)
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* [GPT Architecture](transformers/gpt/index.html)
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* [GLU Variants](transformers/glu_variants/simple.html)

‎labml_nn/transformers/__init__.py

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## [Rotary Positional Embeddings](rope/index.html)
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This implements Rotary Positional Embeddings (RoPE)
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## [RETRO](retro/index.html)
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This implements the Retrieval-Enhanced Transformer (RETRO).
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## [Compressive Transformer](compressive/index.html)
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This is an implementation of compressive transformer

‎readme.md

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* [Transformer XL](https://nn.labml.ai/transformers/xl/index.html)
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* [Relative multi-headed attention](https://nn.labml.ai/transformers/xl/relative_mha.html)
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* [Rotary Positional Embeddings](https://nn.labml.ai/transformers/rope/index.html)
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* [RETRO](https://nn.labml.ai/transformers/retro/index.html)
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* [Compressive Transformer](https://nn.labml.ai/transformers/compressive/index.html)
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* [GPT Architecture](https://nn.labml.ai/transformers/gpt/index.html)
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* [GLU Variants](https://nn.labml.ai/transformers/glu_variants/simple.html)

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