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<h1><a href="https://nn.labml.ai/transformers/gmlp/index.html">注意 MLP (gMLP)</a></h1>
<p>这是 <a href="https://pytorch.org">PyTorch</a> 对《<a href="https://papers.labml.ai/paper/2105.08050">注意 MLP</a>》一文的实现。</p>
<p>本文介绍了一种基于多层感知器（MLP）的带门控的架构，他们将其命名为 <strong>GmLP</strong>。它由一堆<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.68333em;vertical-align:0em;"></span><span class="mord mathnormal">L</span></span></span></span></span> <em>GmLP</em> 块组成。</p>
<p><a href="https://nn.labml.ai/transformers/gmlp/experiment.html">以下是基于 GmLP 模型的自回归模型的训练代码</a>。</p>
<p><a href="https://app.labml.ai/run/01bd941ac74c11eb890c1d9196651a4a"><img alt="View Run" src="https://img.shields.io/badge/labml-experiment-brightgreen"></a></p>
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