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<span id="torch-nn-attention-bias"></span><h1>torch.nn.attention.bias<a class="headerlink" href="#module-torch.nn.attention.bias" title="Permalink to this heading">¶</a></h1>
<p>Defines bias subclasses that work with scaled_dot_product_attention</p>
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<div class="section" id="causalbias">
<h1>CausalBias<a class="headerlink" href="#causalbias" title="Permalink to this heading">¶</a></h1>
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<tr class="row-odd"><td><p><p id="torch.nn.attention.bias.CausalBias"/><a class="reference internal" href="generated/torch.nn.attention.bias.CausalBias.html#torch.nn.attention.bias.CausalBias" title="torch.nn.attention.bias.CausalBias"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CausalBias</span></code></a></p></td>
<td><p>A bias representing causal attention patterns.</p></td>
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<td><p>Creates a lower-right triangular causal bias.</p></td>
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<td><p>Creates an upper-left triangular causal bias.</p></td>
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<tr class="row-odd"><td><p><p id="torch.nn.attention.bias.CausalVariant"/><a class="reference internal" href="generated/torch.nn.attention.bias.CausalVariant.html#torch.nn.attention.bias.CausalVariant" title="torch.nn.attention.bias.CausalVariant"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CausalVariant</span></code></a></p></td>
<td><p>Enum for causal variants used in attention mechanisms.</p></td>
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