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<h1><a href="https://nn.labml.ai/transformers/gmlp/index.html">注意 MLP (GmLP)</a></h1>
<p>这是 P <a href="https://pytorch.org">yTorch</a> 对《<a href="https://arxiv.org/abs/2105.08050">注意 MLP》一文的</a>实现。</p>
<p>本文介绍了一种基于多层感知器（MLP）的带有门控的架构，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>这是基<a href="https://nn.labml.ai/transformers/gmlp/experiment.html">于 GmLP 模型的自回归模型的训练代码</a>。</p>
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