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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.nn.intrinsic.ConvReLU1d.html">ConvReLU1d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.intrinsic.ConvReLU3d.html">ConvReLU3d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.intrinsic.quantized.BNReLU3d.html">BNReLU3d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.ConvTranspose2d.html">ConvTranspose2d</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.ConvTranspose3d.html">ConvTranspose3d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.functional.adaptive_avg_pool2d.html">adaptive_avg_pool2d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.functional.conv2d.html">conv2d</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.functional.conv3d.html">conv3d</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.functional.interpolate.html">interpolate</a></li>
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<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.functional.hardswish.html">hardswish</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.functional.threshold.html">threshold</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.functional.elu.html">elu</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.functional.hardsigmoid.html">hardsigmoid</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.functional.clamp.html">clamp</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.functional.upsample.html">upsample</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.functional.upsample_bilinear.html">upsample_bilinear</a></li>
<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>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.dynamic.Linear.html">Linear</a></li>
<li class="toctree-l3"><a class="reference internal" href="torch.ao.nn.quantized.dynamic.LSTM.html">LSTM</a></li>
<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.bitwise_not<a class="headerlink" href="#torch-tensor-bitwise-not" title="Permalink to this heading">#</a></h1>
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<span class="sig-prename descclassname"><span class="pre">Tensor.</span></span><span class="sig-name descname"><span class="pre">bitwise_not</span></span><span class="sig-paren">(</span><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.bitwise_not" title="Permalink to this definition">#</a></dt>
<dd><p>See <a class="reference internal" href="torch.bitwise_not.html#torch.bitwise_not" title="torch.bitwise_not"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.bitwise_not()</span></code></a></p>
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