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<div class="section" id="module-torch.nn.attention">
<span id="torch-nn-attention"></span><h1>torch.nn.attention<a class="headerlink" href="#module-torch.nn.attention" title="Permalink to this heading">¶</a></h1>
<p>This module contains functions and classes that alter the behavior of torch.nn.functional.scaled_dot_product_attention</p>
<div class="section" id="utils">
<h2>Utils<a class="headerlink" href="#utils" title="Permalink to this heading">¶</a></h2>
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<tr class="row-odd"><td><p><p id="torch.nn.attention.sdpa_kernel"/><a class="reference internal" href="generated/torch.nn.attention.sdpa_kernel.html#torch.nn.attention.sdpa_kernel" title="torch.nn.attention.sdpa_kernel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sdpa_kernel</span></code></a></p></td>
<td><p>Context manager to select which backend to use for scaled dot product attention.</p></td>
</tr>
<tr class="row-even"><td><p><p id="torch.nn.attention.SDPBackend"/><a class="reference internal" href="generated/torch.nn.attention.SDPBackend.html#torch.nn.attention.SDPBackend" title="torch.nn.attention.SDPBackend"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SDPBackend</span></code></a></p></td>
<td><p>An enum-like class that contains the different backends for scaled dot product attention.</p></td>
</tr>
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<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this heading">¶</a></h2>
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<tr class="row-odd"><td><p><a class="reference internal" href="nn.attention.flex_attention.html#module-torch.nn.attention.flex_attention" title="torch.nn.attention.flex_attention"><code class="xref py py-obj docutils literal notranslate"><span class="pre">flex_attention</span></code></a></p></td>
<td><p>This module implements the user facing API for flex_attention in PyTorch.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="nn.attention.bias.html#module-torch.nn.attention.bias" title="torch.nn.attention.bias"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bias</span></code></a></p></td>
<td><p>Defines bias subclasses that work with scaled_dot_product_attention</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="nn.attention.experimental.html#module-torch.nn.attention.experimental" title="torch.nn.attention.experimental"><code class="xref py py-obj docutils literal notranslate"><span class="pre">experimental</span></code></a></p></td>
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