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</ul>
</details></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../quantization.html">Quantization</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2 has-children"><a class="reference internal" href="../quantization-support.html">Quantization API Reference</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.quantization.quantize.html">quantize</a></li>
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<li class="toctree-l3"><a class="reference internal" href="torch.ao.quantization.observer.AffineQuantizedObserverBase.html">AffineQuantizedObserverBase</a></li>
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<li class="toctree-l3"><a class="reference internal" href="torch.ao.quantization.qconfig.default_qat_qconfig.html">default_qat_qconfig</a></li>
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<li class="toctree-l3"><a class="reference internal" href="torch.ao.quantization.qconfig.default_qat_qconfig_v2.html">default_qat_qconfig_v2</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.intrinsic.ConvReLU1d.html">ConvReLU1d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.intrinsic.ConvBn2d.html">ConvBn2d</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.intrinsic.ConvBn3d.html">ConvBn3d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.ConvTranspose3d.html">ConvTranspose3d</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.Embedding.html">Embedding</a></li>
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<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.functional.upsample_nearest.html">upsample_nearest</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantizable.LSTM.html">LSTM</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantizable.MultiheadAttention.html">MultiheadAttention</a></li>
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<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.dynamic.GRU.html">GRU</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.dynamic.RNNCell.html">RNNCell</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.dynamic.LSTMCell.html">LSTMCell</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.dynamic.GRUCell.html">GRUCell</a></li>
</ul>
</details></li>
<li class="toctree-l2"><a class="reference internal" href="../quantization-backend-configuration.html">Quantization Backend Configuration</a></li>
<li class="toctree-l2"><a class="reference internal" href="../quantization-accuracy-debugging.html">Quantization Accuracy Debugging</a></li>

</ul>
</details></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../rpc.html">Distributed RPC Framework</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="../rpc/rref.html">Remote Reference Protocol</a></li>
<li class="toctree-l2"><a class="reference internal" href="../rpc/distributed_autograd.html">Distributed Autograd Design</a></li>
</ul>
</details></li>
<li class="toctree-l1"><a class="reference internal" href="../random.html">torch.random</a></li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../masked.html">torch.masked</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<h1>torch.Tensor.addmm_<a class="headerlink" href="#torch-tensor-addmm" title="Permalink to this heading">#</a></h1>
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<dt class="sig sig-object py" id="torch.Tensor.addmm_">
<span class="sig-prename descclassname"><span class="pre">Tensor.</span></span><span class="sig-name descname"><span class="pre">addmm_</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mat1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mat2</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor"><span class="pre">Tensor</span></a></span></span><a class="headerlink" href="#torch.Tensor.addmm_" title="Permalink to this definition">#</a></dt>
<dd><p>In-place version of <a class="reference internal" href="torch.Tensor.addmm.html#torch.Tensor.addmm" title="torch.Tensor.addmm"><code class="xref py py-meth docutils literal notranslate"><span class="pre">addmm()</span></code></a></p>
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