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  <div class="section" id="torchscript-builtins">
<span id="builtin-functions"></span><h1>TorchScript Builtins<a class="headerlink" href="#torchscript-builtins" title="Permalink to this headline">¶</a></h1>
<p>This is a full reference of functions and Tensor methods accessible in TorchScript</p>
<div class="contents local topic" id="contents">
<ul class="simple">
<li><p><a class="reference internal" href="#supported-functions" id="id1">Supported Functions</a></p></li>
<li><p><a class="reference internal" href="#supported-tensor-methods" id="id2">Supported Tensor Methods</a></p></li>
</ul>
</div>
<span class="target" id="module-torch.jit.supported_ops"></span><div class="section" id="supported-functions">
<h2><a class="toc-backref" href="#id1">Supported Functions</a><a class="headerlink" href="#supported-functions" title="Permalink to this headline">¶</a></h2>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">adaptive_avg_pool2d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                        <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">adaptive_avg_pool3d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                        <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">adaptive_max_pool1d_with_indices</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                     <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                                     <span class="n">return_indices</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">adaptive_max_pool2d_with_indices</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                     <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                                     <span class="n">return_indices</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">adaptive_max_pool3d_with_indices</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                     <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                                     <span class="n">return_indices</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">affine_grid</span><span class="p">(</span><span class="n">theta</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                <span class="n">align_corners</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">alpha_dropout</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                  <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
                                  <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                                  <span class="n">inplace</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">batch_norm</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">running_mean</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                               <span class="n">running_var</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                               <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                               <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                               <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                               <span class="n">momentum</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span>
                               <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-05</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">bilinear</span><span class="p">(</span><span class="n">input1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                             <span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                             <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                             <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">binary_cross_entropy</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                         <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                         <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                         <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                         <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                         <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">binary_cross_entropy_with_logits</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                     <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                     <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                                     <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                                     <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                                     <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">,</span>
                                                     <span class="n">pos_weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">celu</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">alpha</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
                         <span class="n">inplace</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">cosine_embedding_loss</span><span class="p">(</span><span class="n">input1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                          <span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                          <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                          <span class="n">margin</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span>
                                          <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                          <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                          <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">cross_entropy</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                  <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                  <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                  <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                  <span class="n">ignore_index</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">100</span><span class="p">,</span>
                                  <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                  <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">ctc_loss</span><span class="p">(</span><span class="n">log_probs</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                             <span class="n">targets</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                             <span class="n">input_lengths</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                             <span class="n">target_lengths</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                             <span class="n">blank</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                             <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">,</span>
                             <span class="n">zero_infinity</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                            <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
                            <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                            <span class="n">inplace</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">dropout2d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
                              <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                              <span class="n">inplace</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">dropout3d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
                              <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                              <span class="n">inplace</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">elu</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">alpha</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
                        <span class="n">inplace</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">embedding</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">padding_idx</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                              <span class="n">max_norm</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span>
                              <span class="n">norm_type</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">2.0</span><span class="p">,</span>
                              <span class="n">scale_grad_by_freq</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                              <span class="n">sparse</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">embedding_bag</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                  <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                  <span class="n">offsets</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                  <span class="n">max_norm</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span>
                                  <span class="n">norm_type</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">2.0</span><span class="p">,</span>
                                  <span class="n">scale_grad_by_freq</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                                  <span class="n">mode</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">,</span>
                                  <span class="n">sparse</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                                  <span class="n">per_sample_weights</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">feature_alpha_dropout</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                          <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
                                          <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                                          <span class="n">inplace</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">fold</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                         <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                         <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                         <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                         <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">fractional_max_pool2d_with_indices</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                       <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                                       <span class="n">output_size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                                                       <span class="n">output_ratio</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]],</span>
                                                       <span class="n">return_indices</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                                                       <span class="n">_random_samples</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">fractional_max_pool3d_with_indices</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                       <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                                       <span class="n">output_size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                                                       <span class="n">output_ratio</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]],</span>
                                                       <span class="n">return_indices</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                                                       <span class="n">_random_samples</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">gelu</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">glu</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">grid_sample</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">grid</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">mode</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">bilinear</span><span class="p">,</span>
                                <span class="n">padding_mode</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">zeros</span><span class="p">,</span>
                                <span class="n">align_corners</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">group_norm</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">num_groups</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                               <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                               <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                               <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-05</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">gumbel_softmax</span><span class="p">(</span><span class="n">logits</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">tau</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
                                   <span class="n">hard</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                                   <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-10</span><span class="p">,</span>
                                   <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">hardshrink</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">lambd</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">hardtanh</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                             <span class="n">min_val</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=-</span><span class="mf">1.0</span><span class="p">,</span>
                             <span class="n">max_val</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
                             <span class="n">inplace</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">hinge_embedding_loss</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                         <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                         <span class="n">margin</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
                                         <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                         <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                         <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">instance_norm</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                  <span class="n">running_mean</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                  <span class="n">running_var</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                  <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                  <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                  <span class="n">use_input_stats</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                                  <span class="n">momentum</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span>
                                  <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-05</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">kl_div</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                           <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                           <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                           <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                           <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">l1_loss</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                            <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                            <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                            <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                            <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">layer_norm</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">normalized_shape</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                               <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                               <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                               <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-05</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">leaky_relu</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">negative_slope</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.01</span><span class="p">,</span>
                               <span class="n">inplace</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">linear</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                           <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                           <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">local_response_norm</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                        <span class="n">size</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                        <span class="n">alpha</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.0001</span><span class="p">,</span>
                                        <span class="n">beta</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span>
                                        <span class="n">k</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">log_softmax</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                <span class="n">_stacklevel</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span>
                                <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">lp_pool1d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">norm_type</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                              <span class="n">kernel_size</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                              <span class="n">stride</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                              <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">lp_pool2d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">norm_type</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                              <span class="n">kernel_size</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                              <span class="n">stride</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                              <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">margin_ranking_loss</span><span class="p">(</span><span class="n">input1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                        <span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                        <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                        <span class="n">margin</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span>
                                        <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                        <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                        <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">max_pool1d_with_indices</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                            <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                            <span class="n">stride</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                                            <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                                            <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                                            <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                                            <span class="n">return_indices</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">max_pool2d_with_indices</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                            <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                            <span class="n">stride</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                                            <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                                            <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                                            <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                                            <span class="n">return_indices</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">max_pool3d_with_indices</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                            <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                            <span class="n">stride</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                                            <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                                            <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                                            <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                                            <span class="n">return_indices</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">max_unpool1d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">indices</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                 <span class="n">stride</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                                 <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                                 <span class="n">output_size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">max_unpool2d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">indices</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                 <span class="n">stride</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                                 <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                                 <span class="n">output_size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">max_unpool3d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">indices</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                 <span class="n">stride</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                                 <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                                 <span class="n">output_size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">mse_loss</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                             <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                             <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                             <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                             <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">multi_head_attention_forward</span><span class="p">(</span><span class="n">query</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                 <span class="n">key</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                 <span class="n">value</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                 <span class="n">embed_dim_to_check</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                                 <span class="n">num_heads</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                                 <span class="n">in_proj_weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                 <span class="n">in_proj_bias</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                 <span class="n">bias_k</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                                 <span class="n">bias_v</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                                 <span class="n">add_zero_attn</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                                                 <span class="n">dropout_p</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                                                 <span class="n">out_proj_weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                 <span class="n">out_proj_bias</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                 <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                                                 <span class="n">key_padding_mask</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                                 <span class="n">need_weights</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                                                 <span class="n">attn_mask</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                                 <span class="n">use_separate_proj_weight</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                                                 <span class="n">q_proj_weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                                 <span class="n">k_proj_weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                                 <span class="n">v_proj_weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                                 <span class="n">static_k</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                                 <span class="n">static_v</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">multi_margin_loss</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                      <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                      <span class="n">p</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                                      <span class="n">margin</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
                                      <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                      <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                      <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                      <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">multilabel_margin_loss</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                           <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                           <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                           <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                           <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">multilabel_soft_margin_loss</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                                <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                                <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                                <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">nll_loss</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                             <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                             <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                             <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                             <span class="n">ignore_index</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">100</span><span class="p">,</span>
                             <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                             <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">normalize</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">2.0</span><span class="p">,</span>
                              <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                              <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-12</span><span class="p">,</span>
                              <span class="n">out</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">pad</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">pad</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">mode</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">constant</span><span class="p">,</span>
                        <span class="n">value</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">pairwise_distance</span><span class="p">(</span><span class="n">x1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                      <span class="n">x2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                      <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">2.0</span><span class="p">,</span>
                                      <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-06</span><span class="p">,</span>
                                      <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">poisson_nll_loss</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                     <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                     <span class="n">log_input</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                                     <span class="n">full</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                                     <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                     <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-08</span><span class="p">,</span>
                                     <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                     <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">prelu</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">inplace</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">relu6</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">inplace</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">rrelu</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">lower</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.125</span><span class="p">,</span>
                          <span class="n">upper</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.3333333333333333</span><span class="p">,</span>
                          <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                          <span class="n">inplace</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">selu</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">inplace</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">sigmoid</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">smooth_l1_loss</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                   <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                   <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">soft_margin_loss</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                     <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                     <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                     <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                     <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">softmax</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                            <span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                            <span class="n">_stacklevel</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span>
                            <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">softmin</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                            <span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                            <span class="n">_stacklevel</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span>
                            <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">softsign</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">tanhshrink</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">threshold</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">threshold</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                              <span class="n">value</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                              <span class="n">inplace</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">triplet_margin_loss</span><span class="p">(</span><span class="n">anchor</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                        <span class="n">positive</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                        <span class="n">negative</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                        <span class="n">margin</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
                                        <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">2.0</span><span class="p">,</span>
                                        <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-06</span><span class="p">,</span>
                                        <span class="n">swap</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                                        <span class="n">size_average</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                        <span class="n">reduce</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                                        <span class="n">reduction</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">mean</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">unfold</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                           <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                           <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                           <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                           <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">jit</span><span class="o">.</span><span class="n">is_scripting</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">collections</span><span class="o">.</span><span class="n">OrderedDict</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">collections</span><span class="o">.</span><span class="n">OrderedDict</span><span class="p">(</span><span class="n">inputs</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]])</span> <span class="o">-&gt;</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]</span>

<span class="n">collections</span><span class="o">.</span><span class="n">OrderedDict</span><span class="p">(</span><span class="n">inputs</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]])</span> <span class="o">-&gt;</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]</span>

<span class="n">collections</span><span class="o">.</span><span class="n">OrderedDict</span><span class="p">(</span><span class="n">inputs</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]])</span> <span class="o">-&gt;</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]</span>

<span class="n">collections</span><span class="o">.</span><span class="n">OrderedDict</span><span class="p">(</span><span class="n">inputs</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]])</span> <span class="o">-&gt;</span> <span class="n">Dict</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]</span>

<span class="n">builtins</span><span class="o">.</span><span class="n">dict</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">builtins</span><span class="o">.</span><span class="n">dict</span><span class="p">(</span><span class="n">inputs</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]])</span> <span class="o">-&gt;</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]</span>

<span class="n">builtins</span><span class="o">.</span><span class="n">dict</span><span class="p">(</span><span class="n">inputs</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]])</span> <span class="o">-&gt;</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]</span>

<span class="n">builtins</span><span class="o">.</span><span class="n">dict</span><span class="p">(</span><span class="n">inputs</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]])</span> <span class="o">-&gt;</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]</span>

<span class="n">builtins</span><span class="o">.</span><span class="n">dict</span><span class="p">(</span><span class="n">inputs</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]])</span> <span class="o">-&gt;</span> <span class="n">Dict</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">tVal</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">backends</span><span class="o">.</span><span class="n">cudnn</span><span class="o">.</span><span class="n">is_acceptable</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">copysign</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">copysign</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
              <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">copysign</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">copysign</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
              <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">copysign</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
              <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">erf</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">erf</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">erf</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">erf</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">erf</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">erfc</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">erfc</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">erfc</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">erfc</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">erfc</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">expm1</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">expm1</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">expm1</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">expm1</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">expm1</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">fabs</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">fabs</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">fabs</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">math</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">math</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">gamma</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">gamma</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">gamma</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">lgamma</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">lgamma</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">lgamma</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">lgamma</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">lgamma</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">log1p</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">log1p</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">log1p</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">log1p</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">log1p</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">exponent</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">exponent</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">exponent</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">exponent</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">exponent</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">exponent</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">math</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">math</span><span class="o">.</span><span class="n">asinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">asinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">asinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">asinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">asinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">asinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">atanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">atanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">atanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">atanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">atanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">atanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">acos</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">acos</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">acos</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">acos</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">acos</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">asin</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">asin</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">asin</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">asin</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">asin</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">atan</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">atan</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">atan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">atan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">atan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
           <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
           <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
           <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">tan</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">tan</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">tan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">tan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">tan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">asinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">asinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">asinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">asinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">asinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">asinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">atanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">atanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">atanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">atanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">atanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">atanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">acosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">acosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">acosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">modf</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>

<span class="n">math</span><span class="o">.</span><span class="n">factorial</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">math</span><span class="o">.</span><span class="n">frexp</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="nb">int</span><span class="p">]</span>

<span class="n">math</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">math</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">math</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">math</span><span class="o">.</span><span class="n">isinf</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">math</span><span class="o">.</span><span class="n">degrees</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">degrees</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">degrees</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">radians</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">radians</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">math</span><span class="o">.</span><span class="n">radians</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">math</span><span class="o">.</span><span class="n">ldexp</span><span class="p">(</span><span class="n">x</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
           <span class="n">i</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">autograd</span><span class="o">.</span><span class="n">grad</span><span class="p">(</span><span class="n">outputs</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                    <span class="n">inputs</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                    <span class="n">grad_outputs</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]]],</span>
                    <span class="n">retain_graph</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                    <span class="n">create_graph</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                    <span class="n">allow_unused</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">autograd</span><span class="o">.</span><span class="n">backward</span><span class="p">(</span><span class="n">tensors</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                        <span class="n">grad_tensors</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]]],</span>
                        <span class="n">retain_graph</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                        <span class="n">create_graph</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">autograd</span><span class="o">.</span><span class="n">backward</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">gradient</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                        <span class="n">retain_graph</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                        <span class="n">create_graph</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">assert_int_or_pair</span><span class="p">(</span><span class="n">vals</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                       <span class="n">name</span> <span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
                                       <span class="n">message</span> <span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                <span class="n">scale_factor</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]],</span>
                                <span class="n">mode</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">nearest</span><span class="p">,</span>
                                <span class="n">align_corners</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                                <span class="n">scale_factor</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]],</span>
                                <span class="n">mode</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">nearest</span><span class="p">,</span>
                                <span class="n">align_corners</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                <span class="n">scale_factor</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span>
                                <span class="n">mode</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">nearest</span><span class="p">,</span>
                                <span class="n">align_corners</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                                <span class="n">scale_factor</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span>
                                <span class="n">mode</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">nearest</span><span class="p">,</span>
                                <span class="n">align_corners</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">upsample_bilinear</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                      <span class="n">size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                      <span class="n">scale_factor</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">upsample_bilinear</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                      <span class="n">size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                                      <span class="n">scale_factor</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">upsample_bilinear</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                      <span class="n">size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                      <span class="n">scale_factor</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">upsample_bilinear</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                      <span class="n">size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                                      <span class="n">scale_factor</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">upsample_nearest</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                     <span class="n">size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                     <span class="n">scale_factor</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">upsample_nearest</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                     <span class="n">size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                                     <span class="n">scale_factor</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">upsample</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                             <span class="n">size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                             <span class="n">scale_factor</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                             <span class="n">mode</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">nearest</span><span class="p">,</span>
                             <span class="n">align_corners</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">upsample</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                             <span class="n">size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
                             <span class="n">scale_factor</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                             <span class="n">mode</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span><span class="n">nearest</span><span class="p">,</span>
                             <span class="n">align_corners</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">Size</span><span class="p">(</span><span class="n">sizes</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">abs_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">acos</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">acos</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">acos</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">acos</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">acos</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">acos_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">adaptive_avg_pool1d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">adaptive_max_pool1d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">str</span>

<span class="n">torch</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
          <span class="n">b</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span>
          <span class="n">b</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
          <span class="n">b</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">bool</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
          <span class="n">b</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">t</span><span class="p">],</span>
          <span class="n">b</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">t</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">t</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">addbmm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">batch1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">batch2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
             <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">addbmm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">batch1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">batch2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
             <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">addcdiv</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">tensor1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">tensor2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">addcdiv</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">tensor1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">tensor2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">addcmul</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">tensor1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">tensor2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">addcmul</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">tensor1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">tensor2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">addmm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">mat1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
            <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">addmm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">mat1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
            <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">addmv</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">mat</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">vec</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
            <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">addmv</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">mat</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">vec</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
            <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">addmv_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">mat</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">vec</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
             <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">addr</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">vec1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">vec2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
           <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">addr</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">vec1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">vec2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
           <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">affine_grid_generator</span><span class="p">(</span><span class="n">theta</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                            <span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                            <span class="n">align_corners</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">align_tensors</span><span class="p">(</span><span class="n">tensors</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">all</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">all</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">all</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">allclose</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">rtol</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-05</span><span class="p">,</span>
               <span class="n">atol</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-08</span><span class="p">,</span>
               <span class="n">equal_nan</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">alpha_dropout</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                    <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">alpha_dropout_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                     <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">angle</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">angle</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">any</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">any</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">any</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">end</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
             <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
             <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">start</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
             <span class="n">end</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
             <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
             <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">start</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
             <span class="n">end</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
             <span class="n">step</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
             <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
             <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">end</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">start</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
             <span class="n">end</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
             <span class="n">step</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">argmin</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">argsort</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
              <span class="n">descending</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">as_strided</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">storage_offset</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">as_strided_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                  <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                  <span class="n">storage_offset</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">as_tensor</span><span class="p">(</span><span class="n">t</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">as_tensor</span><span class="p">(</span><span class="n">t</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">as_tensor</span><span class="p">(</span><span class="n">t</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">as_tensor</span><span class="p">(</span><span class="n">data</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">as_tensor</span><span class="p">(</span><span class="n">data</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">t</span><span class="p">],</span>
                <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">asin</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">asin</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">asin</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">asin</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">asin</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">asin_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">atan</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">atan</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">atan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">atan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">atan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
            <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
            <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
            <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
            <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
            <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">atan_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">avg_pool1d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[],</span>
                 <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
                 <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                 <span class="n">count_include_pad</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">baddbmm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">batch1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">batch2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
              <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">baddbmm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">batch1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">batch2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
              <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">bartlett_window</span><span class="p">(</span><span class="n">window_length</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                      <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                      <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                      <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                      <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">bartlett_window</span><span class="p">(</span><span class="n">window_length</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                      <span class="n">periodic</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                      <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                      <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                      <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                      <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                 <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                 <span class="n">running_mean</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                 <span class="n">running_var</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                 <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                 <span class="n">momentum</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                 <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                 <span class="n">cudnn_enabled</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm_backward_elemt</span><span class="p">(</span><span class="n">grad_out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">mean</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">invstd</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                <span class="n">mean_dy</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">mean_dy_xmu</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm_backward_reduce</span><span class="p">(</span><span class="n">grad_out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">mean</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">invstd</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                 <span class="n">input_g</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                                 <span class="n">weight_g</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                                 <span class="n">bias_g</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm_elemt</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                       <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                       <span class="n">mean</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">invstd</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm_elemt</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                       <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                       <span class="n">mean</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">invstd</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                       <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm_gather_stats</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">mean</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">invstd</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">running_mean</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                              <span class="n">running_var</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                              <span class="n">momentum</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                              <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                              <span class="n">count</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm_gather_stats_with_counts</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                          <span class="n">mean</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                          <span class="n">invstd</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                          <span class="n">running_mean</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                          <span class="n">running_var</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                          <span class="n">momentum</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                                          <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                                          <span class="n">counts</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm_stats</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm_update_stats</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">running_mean</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                              <span class="n">running_var</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                              <span class="n">momentum</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">bernoulli</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">bernoulli</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">bernoulli</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">],</span>
                <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">bilinear</span><span class="p">(</span><span class="n">input1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">binary_cross_entropy_with_logits</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                       <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                       <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                       <span class="n">pos_weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                       <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">bincount</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">weights</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
               <span class="n">minlength</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">bitwise_not</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">bitwise_not</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">bitwise_xor</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">bitwise_xor</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                  <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">bitwise_xor</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">bitwise_xor</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">blackman_window</span><span class="p">(</span><span class="n">window_length</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                      <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                      <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                      <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                      <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">blackman_window</span><span class="p">(</span><span class="n">window_length</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                      <span class="n">periodic</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                      <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                      <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                      <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                      <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">bmm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">bmm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">broadcast_tensors</span><span class="p">(</span><span class="n">tensors</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">can_cast</span><span class="p">(</span><span class="kn">from</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">to</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cartesian_prod</span><span class="p">(</span><span class="n">tensors</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cat</span><span class="p">(</span><span class="n">tensors</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
          <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cat</span><span class="p">(</span><span class="n">tensors</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
          <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cdist</span><span class="p">(</span><span class="n">x1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">x2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">2.0</span><span class="p">,</span>
            <span class="n">compute_mode</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ceil_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">celu</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">1.0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">celu_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">1.0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">chain_matmul</span><span class="p">(</span><span class="n">matrices</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cholesky</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
               <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cholesky</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cholesky_inverse</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cholesky_inverse</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                       <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cholesky_solve</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                     <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cholesky_solve</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">chunk</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">chunks</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
            <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">clamp</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="nb">min</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
            <span class="nb">max</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">clamp</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="nb">min</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
            <span class="nb">max</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">clamp_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="nb">min</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
             <span class="nb">max</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">clamp_max</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="nb">max</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">clamp_max</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="nb">max</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">clamp_max_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="nb">max</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">clamp_min</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="nb">min</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">clamp_min</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="nb">min</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">clamp_min_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="nb">min</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">clone</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">combinations</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">r</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
                   <span class="n">with_replacement</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">conj</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">conj</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">constant_pad_nd</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">pad</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                      <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">conv1d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
             <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
             <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
             <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
             <span class="n">groups</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">conv2d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
             <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
             <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
             <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
             <span class="n">groups</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">conv3d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
             <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
             <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
             <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
             <span class="n">groups</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">conv_tbc</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">bias</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">pad</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">conv_transpose1d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                       <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
                       <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
                       <span class="n">output_padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
                       <span class="n">groups</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                       <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">conv_transpose2d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                       <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                       <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                       <span class="n">output_padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                       <span class="n">groups</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                       <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">conv_transpose3d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                       <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                       <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                       <span class="n">output_padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                       <span class="n">groups</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                       <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">convolution</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                  <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                  <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                  <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                  <span class="n">transposed</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                  <span class="n">output_padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                  <span class="n">groups</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cos_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cosh_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cosine_embedding_loss</span><span class="p">(</span><span class="n">input1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                            <span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                            <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                            <span class="n">margin</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span>
                            <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cosine_similarity</span><span class="p">(</span><span class="n">x1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">x2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                        <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-08</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cross</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cross</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ctc_loss</span><span class="p">(</span><span class="n">log_probs</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">targets</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">input_lengths</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">target_lengths</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">blank</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
               <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
               <span class="n">zero_infinity</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ctc_loss</span><span class="p">(</span><span class="n">log_probs</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">targets</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">input_lengths</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
               <span class="n">target_lengths</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
               <span class="n">blank</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
               <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
               <span class="n">zero_infinity</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cudnn_affine_grid_generator</span><span class="p">(</span><span class="n">theta</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                  <span class="n">N</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                  <span class="n">C</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                  <span class="n">H</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                  <span class="n">W</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cudnn_batch_norm</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                       <span class="n">running_mean</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                       <span class="n">running_var</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                       <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                       <span class="n">exponential_average_factor</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                       <span class="n">epsilon</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cudnn_convolution</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                        <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">groups</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                        <span class="n">benchmark</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                        <span class="n">deterministic</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cudnn_convolution_transpose</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                  <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                  <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                  <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                  <span class="n">output_padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                  <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                  <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                  <span class="n">groups</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                  <span class="n">benchmark</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                                  <span class="n">deterministic</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cudnn_grid_sampler</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">grid</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cudnn_is_acceptable</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cumprod</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cumprod</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cumsum</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
             <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">cumsum</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
             <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">dequantize</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">det</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">detach</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">detach_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Device</span>

<span class="n">torch</span><span class="o">.</span><span class="n">diag</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">diagonal</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">diag</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">diagonal</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">diag_embed</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">offset</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                 <span class="n">dim1</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">2</span><span class="p">,</span>
                 <span class="n">dim2</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">diagflat</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">offset</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">diagonal</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">offset</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
               <span class="n">dim1</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
               <span class="n">dim2</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">digamma</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">digamma</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">dist</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">p</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">div</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">div</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">div</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">div</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">div</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">div</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">tensor</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">tensor</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
              <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">dropout_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
               <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eig</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">eigenvectors</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">einsum</span><span class="p">(</span><span class="n">equation</span> <span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
             <span class="n">tensors</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">embedding</span><span class="p">(</span><span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">indices</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">padding_idx</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
                <span class="n">scale_grad_by_freq</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                <span class="n">sparse</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">embedding_bag</span><span class="p">(</span><span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">indices</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">offsets</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">scale_grad_by_freq</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                    <span class="n">mode</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                    <span class="n">sparse</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                    <span class="n">per_sample_weights</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">embedding_renorm_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">indices</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">max_norm</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                        <span class="n">norm_type</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
            <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
            <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">empty_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">empty_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">layout</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">device</span> <span class="p">:</span> <span class="n">Device</span><span class="p">,</span>
                 <span class="n">pin_memory</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                 <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">empty_strided</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                    <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">Device</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">Device</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">equal</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">erf</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">erf</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">erf</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">erf</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">erf</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">erf_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">erfc</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">erfc</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">erfc</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">erfc</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">erfc</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">erfc_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">erfinv</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">erfinv</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">exp_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">expm1</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">expm1</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">expm1</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">expm1</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">expm1</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">expm1_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eye</span><span class="p">(</span><span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eye</span><span class="p">(</span><span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">m</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eye</span><span class="p">(</span><span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
          <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
          <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
          <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">eye</span><span class="p">(</span><span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">m</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
          <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
          <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
          <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fake_quantize_per_channel_affine</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                       <span class="n">scale</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                       <span class="n">zero_point</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                       <span class="n">axis</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                       <span class="n">quant_min</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                       <span class="n">quant_max</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fake_quantize_per_tensor_affine</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                      <span class="n">scale</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                                      <span class="n">zero_point</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                      <span class="n">quant_min</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                      <span class="n">quant_max</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fbgemm_linear_fp16_weight</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">packed_weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">bias</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fbgemm_linear_fp16_weight_fp32_activation</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                <span class="n">packed_weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                <span class="n">bias</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fbgemm_linear_int8_weight</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">packed</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">col_offsets</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">weight_scale</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                                <span class="n">weight_zero_point</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                                <span class="n">bias</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fbgemm_linear_int8_weight_fp32_activation</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                <span class="n">packed</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                <span class="n">col_offsets</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                                <span class="n">weight_scale</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                                                <span class="n">weight_zero_point</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                                                <span class="n">bias</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fbgemm_linear_quantize_weight</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="nb">float</span><span class="p">,</span> <span class="nb">int</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fbgemm_pack_gemm_matrix_fp16</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fbgemm_pack_quantized_matrix</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fbgemm_pack_quantized_matrix</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">K</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                   <span class="n">N</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">feature_alpha_dropout</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                            <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                            <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">feature_alpha_dropout_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                             <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                             <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">feature_dropout</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                      <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">feature_dropout_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                       <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fft</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">signal_ndim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">normalized</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fill_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">value</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fill_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">flatten</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">start_dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
              <span class="n">end_dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">flip</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">dims</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">floor_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
           <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
           <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
           <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">frac</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">frac</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">frac_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">frobenius_norm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">frobenius_norm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                     <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">frobenius_norm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                     <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                     <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">from_file</span><span class="p">(</span><span class="n">filename</span> <span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
                <span class="n">shared</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                <span class="n">size</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">full</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">fill_value</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
           <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
           <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">full</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">fill_value</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">full_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">fill_value</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">full_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">fill_value</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="n">layout</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="n">device</span> <span class="p">:</span> <span class="n">Device</span><span class="p">,</span>
                <span class="n">pin_memory</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">gather</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
             <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">sparse_grad</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">gather</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
             <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">sparse_grad</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ge</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ge</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ge</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ge</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ge</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ge</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ge</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ge</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ge</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ge</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">geqrf</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ger</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">vec2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ger</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">vec2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">get_device</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">get_device</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">get_device</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">grid_sampler</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">grid</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">interpolation_mode</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">padding_mode</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">align_corners</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">grid_sampler_2d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">grid</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">interpolation_mode</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                      <span class="n">padding_mode</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                      <span class="n">align_corners</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">grid_sampler_3d</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">grid</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">interpolation_mode</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                      <span class="n">padding_mode</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                      <span class="n">align_corners</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">group_norm</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">num_groups</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                 <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                 <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-05</span><span class="p">,</span>
                 <span class="n">cudnn_enabled</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">gru</span><span class="p">(</span><span class="n">data</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">batch_sizes</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">hx</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">params</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
          <span class="n">has_biases</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
          <span class="n">num_layers</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">dropout</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
          <span class="n">bidirectional</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">gru</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">hx</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">params</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
          <span class="n">has_biases</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
          <span class="n">num_layers</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">dropout</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
          <span class="n">bidirectional</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
          <span class="n">batch_first</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">gru_cell</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">hx</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">w_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">w_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">b_ih</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
               <span class="n">b_hh</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">gt</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">gt</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">gt</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">gt</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">gt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">gt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">gt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">gt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">gt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">gt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">hamming_window</span><span class="p">(</span><span class="n">window_length</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                     <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                     <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                     <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                     <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">hamming_window</span><span class="p">(</span><span class="n">window_length</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                     <span class="n">periodic</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                     <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                     <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                     <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                     <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">hamming_window</span><span class="p">(</span><span class="n">window_length</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                     <span class="n">periodic</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                     <span class="n">alpha</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                     <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                     <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                     <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                     <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">hamming_window</span><span class="p">(</span><span class="n">window_length</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                     <span class="n">periodic</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                     <span class="n">alpha</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                     <span class="n">beta</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                     <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                     <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                     <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                     <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">hann_window</span><span class="p">(</span><span class="n">window_length</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                  <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                  <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                  <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                  <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">hann_window</span><span class="p">(</span><span class="n">window_length</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                  <span class="n">periodic</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                  <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                  <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                  <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                  <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">hardshrink</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">lambd</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">hinge_embedding_loss</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                           <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                           <span class="n">margin</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
                           <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">histc</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">bins</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span>
            <span class="nb">min</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
            <span class="nb">max</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">histc</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">bins</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span>
            <span class="nb">min</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
            <span class="nb">max</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">hspmm</span><span class="p">(</span><span class="n">mat1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">hspmm</span><span class="p">(</span><span class="n">mat1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ifft</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">signal_ndim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">normalized</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">imag</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">imag</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">index_add</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">source</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">index_copy</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">source</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">index_fill</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">value</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">index_fill</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">index_put</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">indices</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]],</span>
                <span class="n">values</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">accumulate</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">index_put</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">indices</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                <span class="n">values</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">accumulate</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">index_put_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">indices</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]],</span>
                 <span class="n">values</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">accumulate</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">index_put_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">indices</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                 <span class="n">values</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">accumulate</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">index_select</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">index_select</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">instance_norm</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                    <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                    <span class="n">running_mean</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                    <span class="n">running_var</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                    <span class="n">use_input_stats</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                    <span class="n">momentum</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                    <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                    <span class="n">cudnn_enabled</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">int_repr</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">inverse</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">inverse</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">irfft</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">signal_ndim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
            <span class="n">normalized</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
            <span class="n">onesided</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
            <span class="n">signal_sizes</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">is_complex</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">is_distributed</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">is_floating_point</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">is_nonzero</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">is_same_size</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">is_signed</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">isclose</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">rtol</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-05</span><span class="p">,</span>
              <span class="n">atol</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-08</span><span class="p">,</span>
              <span class="n">equal_nan</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">isfinite</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">isfinite</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">isinf</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">kl_div</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">kthvalue</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">k</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
               <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">layer_norm</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">normalized_shape</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                 <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                 <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-05</span><span class="p">,</span>
                 <span class="n">cudnn_enable</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">le</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">le</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">le</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">le</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">le</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">le</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">le</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">le</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">le</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">le</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lerp</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">end</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lerp</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">end</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">weight</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lerp</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">end</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lerp</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">end</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">weight</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lgamma</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lgamma</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lgamma</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lgamma</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lgamma</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">start</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
               <span class="n">end</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
               <span class="n">steps</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span>
               <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
               <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
               <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
               <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">start</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
               <span class="n">end</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
               <span class="n">steps</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span>
               <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log10_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log1p</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log1p</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log1p</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log1p</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log1p</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log1p_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log2</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log2</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log2_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">log_softmax</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                  <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">logdet</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">logical_not</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">logical_not</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">logical_xor</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">logical_xor</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">logspace</span><span class="p">(</span><span class="n">start</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
               <span class="n">end</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
               <span class="n">steps</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span>
               <span class="n">base</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">10.0</span><span class="p">,</span>
               <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
               <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
               <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
               <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">logspace</span><span class="p">(</span><span class="n">start</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
               <span class="n">end</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
               <span class="n">steps</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span>
               <span class="n">base</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">10.0</span><span class="p">,</span>
               <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">logsumexp</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">logsumexp</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lstm</span><span class="p">(</span><span class="n">data</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">batch_sizes</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">hx</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
           <span class="n">params</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
           <span class="n">has_biases</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
           <span class="n">num_layers</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">dropout</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
           <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
           <span class="n">bidirectional</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lstm</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">hx</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
           <span class="n">params</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
           <span class="n">has_biases</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
           <span class="n">num_layers</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">dropout</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
           <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
           <span class="n">bidirectional</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
           <span class="n">batch_first</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lstm_cell</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">hx</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                <span class="n">w_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">w_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">b_ih</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                <span class="n">b_hh</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lstsq</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">A</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lt</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lt</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lt</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lt</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lu_solve</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">LU_data</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">LU_pivots</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">lu_solve</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">LU_data</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">LU_pivots</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">manual_seed</span><span class="p">(</span><span class="n">seed</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">margin_ranking_loss</span><span class="p">(</span><span class="n">input1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">margin</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span>
                          <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">masked_fill</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">mask</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">value</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">masked_fill</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">mask</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">masked_scatter</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">mask</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">source</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">masked_select</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">mask</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">masked_select</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">mask</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">matrix_power</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">matrix_rank</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">symmetric</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">matrix_rank</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">tol</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                  <span class="n">symmetric</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">max_pool1d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[],</span>
                 <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
                 <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
                 <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">max_pool1d_with_indices</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                              <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[],</span>
                              <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
                              <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
                              <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">max_pool2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[],</span>
                 <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                 <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                 <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">max_pool3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[],</span>
                 <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                 <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                 <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
           <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
           <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
             <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">meshgrid</span><span class="p">(</span><span class="n">tensors</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">miopen_batch_norm</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                        <span class="n">running_mean</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                        <span class="n">running_var</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                        <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                        <span class="n">exponential_average_factor</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                        <span class="n">epsilon</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">miopen_convolution</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                         <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                         <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                         <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                         <span class="n">groups</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                         <span class="n">benchmark</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                         <span class="n">deterministic</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">miopen_convolution_transpose</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                   <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">output_padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">groups</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                   <span class="n">benchmark</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                                   <span class="n">deterministic</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">miopen_depthwise_convolution</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                   <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">groups</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                   <span class="n">benchmark</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                                   <span class="n">deterministic</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">miopen_rnn</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">weight</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                 <span class="n">weight_stride0</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">hx</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">cx</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                 <span class="n">mode</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">hidden_size</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">num_layers</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">batch_first</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                 <span class="n">dropout</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                 <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                 <span class="n">bidirectional</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                 <span class="n">batch_sizes</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">dropout_state</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mkldnn_adaptive_avg_pool2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mkldnn_convolution</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                         <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                         <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                         <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                         <span class="n">groups</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mkldnn_convolution_backward_weights</span><span class="p">(</span><span class="n">weight_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                          <span class="n">grad_output</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                          <span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                          <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                          <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                          <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                          <span class="n">groups</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                          <span class="n">bias_defined</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mkldnn_max_pool2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[],</span>
                        <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                        <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                        <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mode</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">l</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
          <span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">l</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">l</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span>
          <span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">l</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">l</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
          <span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">bool</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">l</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">bool</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">l</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
          <span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">l</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">l</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">t</span><span class="p">],</span>
          <span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">t</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">l</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">t</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">t</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">multinomial</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">num_samples</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                  <span class="n">replacement</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                  <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">multinomial</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">num_samples</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                  <span class="n">replacement</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                  <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">],</span>
                  <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mv</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">vec</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mv</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">vec</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">mvlgamma</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">p</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">narrow</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
             <span class="n">start</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
             <span class="n">length</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">native_batch_norm</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                        <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                        <span class="n">running_mean</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                        <span class="n">running_var</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                        <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                        <span class="n">momentum</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                        <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">native_layer_norm</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                        <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                        <span class="n">M</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                        <span class="n">N</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                        <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">native_norm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">p</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
         <span class="n">b</span> <span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">neg</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">neg</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">neg</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">neg</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">neg</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">neg_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nonzero</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nonzero</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">p</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">p</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
           <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">p</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
           <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">p</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
           <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
           <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">p</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
           <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">p</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
           <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
           <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">norm_except_dim</span><span class="p">(</span><span class="n">v</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="nb">pow</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
                      <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="n">mean</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">std</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="n">mean</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
             <span class="n">std</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="n">mean</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">std</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
             <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="n">mean</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
             <span class="n">std</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
             <span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">],</span>
             <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
             <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="n">mean</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">std</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">],</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="n">mean</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
             <span class="n">std</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">],</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="n">mean</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">std</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
             <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">],</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="n">mean</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
             <span class="n">std</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
             <span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">],</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nuclear_norm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nuclear_norm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                   <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nuclear_norm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                   <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">nuclear_norm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                   <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                   <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">numel</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
           <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ones_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ones_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="n">layout</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="n">device</span> <span class="p">:</span> <span class="n">Device</span><span class="p">,</span>
                <span class="n">pin_memory</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">orgqr</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">orgqr</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ormqr</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">input3</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">left</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
            <span class="n">transpose</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">ormqr</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">input3</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">left</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
            <span class="n">transpose</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pairwise_distance</span><span class="p">(</span><span class="n">x1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">x2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">2.0</span><span class="p">,</span>
                        <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-06</span><span class="p">,</span>
                        <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pdist</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">2.0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pinverse</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">rcond</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-15</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pixel_shuffle</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">upscale_factor</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">poisson</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">poisson_nll_loss</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">log_input</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                       <span class="n">full</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                       <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                       <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">polygamma</span><span class="p">(</span><span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">polygamma</span><span class="p">(</span><span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">exponent</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">exponent</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">exponent</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">exponent</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">exponent</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">exponent</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">prelu</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
           <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
           <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">promote_types</span><span class="p">(</span><span class="n">type1</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                    <span class="n">type2</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">q_per_channel_axis</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">q_per_channel_scales</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">q_per_channel_zero_points</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">q_scale</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">q_zero_point</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">qr</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
         <span class="n">some</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">qscheme</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">quantize_per_channel</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                           <span class="n">scales</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                           <span class="n">zero_points</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                           <span class="n">axis</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                           <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">quantize_per_tensor</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">scale</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                          <span class="n">zero_point</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                          <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">quantized_gru</span><span class="p">(</span><span class="n">data</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">batch_sizes</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">hx</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">params</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                    <span class="n">has_biases</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                    <span class="n">num_layers</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                    <span class="n">dropout</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                    <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                    <span class="n">bidirectional</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">quantized_gru</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">hx</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">params</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                    <span class="n">has_biases</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                    <span class="n">num_layers</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                    <span class="n">dropout</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                    <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                    <span class="n">bidirectional</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                    <span class="n">batch_first</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">quantized_gru_cell</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">hx</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">w_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">w_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">b_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">b_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">packed_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">packed_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">col_offsets_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">col_offsets_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">scale_ih</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                         <span class="n">scale_hh</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                         <span class="n">zero_point_ih</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                         <span class="n">zero_point_hh</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">quantized_lstm</span><span class="p">(</span><span class="n">data</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">batch_sizes</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">hx</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                     <span class="n">params</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                     <span class="n">has_biases</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                     <span class="n">num_layers</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                     <span class="n">dropout</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                     <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                     <span class="n">bidirectional</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                     <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                     <span class="n">use_dynamic</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">quantized_lstm</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">hx</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                     <span class="n">params</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                     <span class="n">has_biases</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                     <span class="n">num_layers</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                     <span class="n">dropout</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                     <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                     <span class="n">bidirectional</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                     <span class="n">batch_first</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                     <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                     <span class="n">use_dynamic</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">quantized_lstm_cell</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">hx</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                          <span class="n">w_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">w_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">b_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">b_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">packed_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">packed_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">col_offsets_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">col_offsets_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">scale_ih</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                          <span class="n">scale_hh</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                          <span class="n">zero_point_ih</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                          <span class="n">zero_point_hh</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">quantized_max_pool2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                           <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                           <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[],</span>
                           <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                           <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                           <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">quantized_rnn_relu_cell</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">hx</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">w_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">w_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">b_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">b_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">packed_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">packed_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">col_offsets_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">col_offsets_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">scale_ih</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                              <span class="n">scale_hh</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                              <span class="n">zero_point_ih</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                              <span class="n">zero_point_hh</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">quantized_rnn_tanh_cell</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">hx</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">w_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">w_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">b_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">b_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">packed_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">packed_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">col_offsets_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">col_offsets_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">scale_ih</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                              <span class="n">scale_hh</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                              <span class="n">zero_point_ih</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                              <span class="n">zero_point_hh</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
           <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rand_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rand_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="n">layout</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="n">device</span> <span class="p">:</span> <span class="n">Device</span><span class="p">,</span>
                <span class="n">pin_memory</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="n">high</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="n">low</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">high</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="n">high</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
              <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
              <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
              <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
              <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="n">low</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">high</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
              <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
              <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
              <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
              <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">randint_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">high</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">randint_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">low</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">high</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">randint_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">high</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">layout</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">device</span> <span class="p">:</span> <span class="n">Device</span><span class="p">,</span>
                   <span class="n">pin_memory</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                   <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">randint_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">low</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">high</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">layout</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">device</span> <span class="p">:</span> <span class="n">Device</span><span class="p">,</span>
                   <span class="n">pin_memory</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                   <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
            <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">randn_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">randn_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">layout</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">device</span> <span class="p">:</span> <span class="n">Device</span><span class="p">,</span>
                 <span class="n">pin_memory</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                 <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">randperm</span><span class="p">(</span><span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">randperm</span><span class="p">(</span><span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
               <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
               <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
               <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">range</span><span class="p">(</span><span class="n">start</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
            <span class="n">end</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
            <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
            <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">range</span><span class="p">(</span><span class="n">start</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
            <span class="n">end</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
            <span class="n">step</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
            <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
            <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">range</span><span class="p">(</span><span class="n">start</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
            <span class="n">end</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
            <span class="n">step</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">real</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">real</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">reciprocal</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">reciprocal</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">reciprocal_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">relu_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">remainder</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">remainder</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">remainder</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">remainder</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">remainder</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">remainder</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">remainder</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">remainder</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">remainder</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">renorm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">p</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
             <span class="n">maxnorm</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">renorm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">p</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
             <span class="n">maxnorm</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">repeat_interleave</span><span class="p">(</span><span class="n">repeats</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">repeat_interleave</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">repeats</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">repeat_interleave</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">repeats</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                        <span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">shape</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">resize_as_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">the_template</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">result_type</span><span class="p">(</span><span class="n">tensor</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">result_type</span><span class="p">(</span><span class="n">scalar</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                  <span class="n">tensor</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">result_type</span><span class="p">(</span><span class="n">tensor</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">result_type</span><span class="p">(</span><span class="n">scalar1</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                  <span class="n">scalar2</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rfft</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">signal_ndim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">normalized</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
           <span class="n">onesided</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rnn_relu</span><span class="p">(</span><span class="n">data</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">batch_sizes</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">hx</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">params</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
               <span class="n">has_biases</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
               <span class="n">num_layers</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">dropout</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
               <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
               <span class="n">bidirectional</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rnn_relu</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">hx</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">params</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
               <span class="n">has_biases</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
               <span class="n">num_layers</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">dropout</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
               <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
               <span class="n">bidirectional</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
               <span class="n">batch_first</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rnn_relu_cell</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">hx</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">w_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">w_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">b_ih</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                    <span class="n">b_hh</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rnn_tanh</span><span class="p">(</span><span class="n">data</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">batch_sizes</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">hx</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">params</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
               <span class="n">has_biases</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
               <span class="n">num_layers</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">dropout</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
               <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
               <span class="n">bidirectional</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rnn_tanh</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">hx</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">params</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
               <span class="n">has_biases</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
               <span class="n">num_layers</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">dropout</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
               <span class="n">train</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
               <span class="n">bidirectional</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
               <span class="n">batch_first</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rnn_tanh_cell</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">hx</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">w_ih</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">w_hh</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">b_ih</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                    <span class="n">b_hh</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">roll</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">shifts</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">dims</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rot90</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">k</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
            <span class="n">dims</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">round_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rrelu</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">lower</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.125</span><span class="p">,</span>
            <span class="n">upper</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.3333333333333333</span><span class="p">,</span>
            <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
            <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rrelu_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">lower</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.125</span><span class="p">,</span>
             <span class="n">upper</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.3333333333333333</span><span class="p">,</span>
             <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
             <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rsqrt</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rsqrt</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rsqrt_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rsub</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">rsub</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
           <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">item</span> <span class="p">:</span> <span class="n">t</span><span class="p">,</span>
           <span class="n">filename</span> <span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">scalar_tensor</span><span class="p">(</span><span class="n">s</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                    <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                    <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">src</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">scatter_add</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                  <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">src</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
             <span class="n">index</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="nb">list</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
             <span class="n">idx</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span>
             <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
             <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">torch</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="nb">list</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">t</span><span class="p">],</span>
             <span class="n">idx</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">t</span>

<span class="n">torch</span><span class="o">.</span><span class="n">selu</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">selu_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sigmoid</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sigmoid</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sigmoid_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sign</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sign</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sin_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sinh_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">slogdet</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">smm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">softmax</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">solve</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">A</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
           <span class="n">descending</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">reverse</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span>
           <span class="n">reverse</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
           <span class="n">reverse</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
           <span class="n">reverse</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">t</span><span class="p">],</span>
           <span class="n">reverse</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sparse_coo_tensor</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                        <span class="n">layout</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                        <span class="n">device</span> <span class="p">:</span> <span class="n">Device</span><span class="p">,</span>
                        <span class="n">pin_memory</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sparse_coo_tensor</span><span class="p">(</span><span class="n">indices</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">values</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                        <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sparse_coo_tensor</span><span class="p">(</span><span class="n">indices</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">values</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                        <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">split_size</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
            <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
            <span class="n">separator</span> <span class="p">:</span> <span class="nb">str</span><span class="o">=</span> <span class="p">,</span>
            <span class="nb">max</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">split_sizes</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">split_with_sizes</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">split_sizes</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                       <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sqrt_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sspaddmm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">mat1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
               <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
               <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sspaddmm</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">mat1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
               <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span><span class="n">tensors</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
            <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span><span class="n">tensors</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
            <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
          <span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
          <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
          <span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
          <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">std_mean</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">std_mean</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
               <span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
               <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">stft</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">n_fft</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">hop_length</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">win_length</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">window</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
           <span class="n">normalized</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
           <span class="n">onesided</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">b</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
          <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
          <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">svd</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">some</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
          <span class="n">compute_uv</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">symeig</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">eigenvectors</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
             <span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">t</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">take</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">take</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tan</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tan</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tan</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tan_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">a</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tanh_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">t</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
             <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
             <span class="n">requires_grad</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">t</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
             <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
             <span class="n">requires_grad</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">t</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
             <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
             <span class="n">requires_grad</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">data</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">t</span><span class="p">],</span>
             <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
             <span class="n">requires_grad</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tensordot</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">dims_self</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                <span class="n">dims_other</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">threshold</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">threshold</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">threshold</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">threshold</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">threshold_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">threshold</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                 <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">k</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
           <span class="n">largest</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
           <span class="nb">sorted</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">trace</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">dim0</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="n">dim1</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">trapz</span><span class="p">(</span><span class="n">y</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">x</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">trapz</span><span class="p">(</span><span class="n">y</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">dx</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
            <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">triangular_solve</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">A</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                       <span class="n">transpose</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                       <span class="n">unitriangular</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tril</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">diagonal</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tril</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">diagonal</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">tril_indices</span><span class="p">(</span><span class="n">row</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">col</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">offset</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                   <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
                   <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                   <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                   <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">triplet_margin_loss</span><span class="p">(</span><span class="n">anchor</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">positive</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">negative</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">margin</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
                          <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">2.0</span><span class="p">,</span>
                          <span class="n">eps</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-06</span><span class="p">,</span>
                          <span class="n">swap</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                          <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">triu</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">diagonal</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">triu</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">diagonal</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">triu_indices</span><span class="p">(</span><span class="n">row</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">col</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">offset</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                   <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
                   <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                   <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                   <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">trunc</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">trunc</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">trunc_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">unbind</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">unique_consecutive</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">return_inverse</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                         <span class="n">return_counts</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                         <span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">unsqueeze</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">var</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
          <span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
          <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">var</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">var</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
          <span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
          <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">var_mean</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">var_mean</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
               <span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
               <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">wait</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Future</span><span class="p">[</span><span class="n">t</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">t</span>

<span class="n">torch</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">condition</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">condition</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">zero_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
            <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">zeros_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">zeros_like</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">layout</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">device</span> <span class="p">:</span> <span class="n">Device</span><span class="p">,</span>
                 <span class="n">pin_memory</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                 <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">adaptive_avg_pool2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                 <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">adaptive_avg_pool2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">adaptive_avg_pool3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">adaptive_avg_pool3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                 <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">adaptive_max_pool2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">adaptive_max_pool3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">avg_pool2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[],</span>
                        <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                        <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                        <span class="n">count_include_pad</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                        <span class="n">divisor_override</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">avg_pool2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[],</span>
                        <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                        <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                        <span class="n">count_include_pad</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                        <span class="n">divisor_override</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">avg_pool3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[],</span>
                        <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                        <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                        <span class="n">count_include_pad</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                        <span class="n">divisor_override</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">avg_pool3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[],</span>
                        <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                        <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                        <span class="n">count_include_pad</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                        <span class="n">divisor_override</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">binary_cross_entropy</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                  <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                  <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                  <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                                  <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">binary_cross_entropy</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                  <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                  <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                  <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">col2im</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">col2im</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">elu</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                 <span class="n">scale</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                 <span class="n">input_scale</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                 <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">elu</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                 <span class="n">scale</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                 <span class="n">input_scale</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">elu_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                  <span class="n">scale</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                  <span class="n">input_scale</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">fractional_max_pool2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">random_samples</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">fractional_max_pool3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">random_samples</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">gelu</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">glu</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">glu</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
                 <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">hardtanh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">min_val</span> <span class="p">:</span> <span class="n">number</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
                      <span class="n">max_val</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                      <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">hardtanh</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">min_val</span> <span class="p">:</span> <span class="n">number</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
                      <span class="n">max_val</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">hardtanh_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">min_val</span> <span class="p">:</span> <span class="n">number</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
                       <span class="n">max_val</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">im2col</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">im2col</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                    <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">l1_loss</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                     <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">l1_loss</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">leaky_relu</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">negative_slope</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.01</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">leaky_relu</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">negative_slope</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.01</span><span class="p">,</span>
                        <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">leaky_relu_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">negative_slope</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.01</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">linear</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">log_sigmoid</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">log_sigmoid</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">max_pool2d_with_indices</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                     <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                     <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[],</span>
                                     <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                                     <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                                     <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">max_pool3d_with_indices</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                     <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                     <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[],</span>
                                     <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                                     <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                                     <span class="n">ceil_mode</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">max_unpool2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">indices</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">max_unpool2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">indices</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">max_unpool3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">indices</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                          <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                          <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">max_unpool3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">indices</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                          <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                          <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                          <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">mkldnn_linear</span><span class="p">(</span><span class="nb">input</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                           <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                           <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">mkldnn_reorder_conv2d_weight</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                          <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                                          <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                                          <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                                          <span class="n">groups</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">mse_loss</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                      <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">mse_loss</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">multi_margin_loss</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">p</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                               <span class="n">margin</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                               <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                               <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                               <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">multi_margin_loss</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">p</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                               <span class="n">margin</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                               <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                               <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">multilabel_margin_loss</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                    <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                    <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">multilabel_margin_loss</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                    <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                    <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                                    <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">nll_loss</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                      <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                      <span class="n">ignore_index</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">100</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">nll_loss</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                      <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                      <span class="n">ignore_index</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">100</span><span class="p">,</span>
                      <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">nll_loss2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                        <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                        <span class="n">ignore_index</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">100</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">nll_loss2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">weight</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                        <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                        <span class="n">ignore_index</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">100</span><span class="p">,</span>
                        <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">one_hot</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">num_classes</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">reflection_pad1d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">reflection_pad1d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">reflection_pad2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">reflection_pad2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">replication_pad1d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">replication_pad1d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                               <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">replication_pad2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">replication_pad2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                               <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">replication_pad3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                               <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">replication_pad3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">rrelu_with_noise</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">noise</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">lower</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.125</span><span class="p">,</span>
                              <span class="n">upper</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.3333333333333333</span><span class="p">,</span>
                              <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                              <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">],</span>
                              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">rrelu_with_noise</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">noise</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">lower</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.125</span><span class="p">,</span>
                              <span class="n">upper</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.3333333333333333</span><span class="p">,</span>
                              <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                              <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">rrelu_with_noise_</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">noise</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">lower</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.125</span><span class="p">,</span>
                               <span class="n">upper</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.3333333333333333</span><span class="p">,</span>
                               <span class="n">training</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                               <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">slow_conv3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                         <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                         <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                         <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">slow_conv3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                         <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                         <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                         <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">slow_conv_dilated2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                 <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                 <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                                 <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                                 <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">slow_conv_dilated3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                 <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                 <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                                 <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                                 <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">slow_conv_transpose2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                   <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                                   <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                                   <span class="n">output_padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                                   <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                                   <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">slow_conv_transpose2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                   <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                                   <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                                   <span class="n">output_padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                                   <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">slow_conv_transpose3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                   <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                                   <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                                   <span class="n">output_padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                                   <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">slow_conv_transpose3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                   <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                                   <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                                   <span class="n">output_padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                                   <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                                   <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">smooth_l1_loss</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                            <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                            <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">smooth_l1_loss</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                            <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                            <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">soft_margin_loss</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">soft_margin_loss</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">target</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                              <span class="n">reduction</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">softplus</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                      <span class="n">threshold</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span>
                      <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">softplus</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                      <span class="n">threshold</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">20</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">softshrink</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">lambd</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">softshrink</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">lambd</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
                        <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">thnn_conv2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                         <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                         <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                         <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">thnn_conv2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                         <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                         <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                         <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                         <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">thnn_conv_depthwise2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                   <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                                   <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                                   <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">thnn_conv_depthwise2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                   <span class="n">kernel_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                   <span class="n">bias</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                                   <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                                   <span class="n">padding</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
                                   <span class="n">dilation</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
                                   <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">upsample_bicubic2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                <span class="n">align_corners</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">upsample_bicubic2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                <span class="n">align_corners</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                                <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">upsample_bilinear2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                 <span class="n">align_corners</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">upsample_bilinear2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                 <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                 <span class="n">align_corners</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                                 <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">upsample_linear1d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                               <span class="n">align_corners</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">upsample_linear1d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                               <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                               <span class="n">align_corners</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                               <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">upsample_nearest1d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">upsample_nearest1d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">upsample_nearest2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">upsample_nearest2d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">upsample_nearest3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">upsample_nearest3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">upsample_trilinear3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                  <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                  <span class="n">align_corners</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
                                  <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_nn</span><span class="o">.</span><span class="n">upsample_trilinear3d</span><span class="p">(</span><span class="bp">self</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                                  <span class="n">output_size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                  <span class="n">align_corners</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>
</pre></div>
</div>
</div>
<div class="section" id="supported-tensor-methods">
<h2><a class="toc-backref" href="#id2">Supported Tensor Methods</a><a class="headerlink" href="#supported-tensor-methods" title="Permalink to this headline">¶</a></h2>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">Tensor</span><span class="o">.</span><span class="fm">__and__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__and__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__iand__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__iand__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__ilshift__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__ilshift__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__ior__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__ior__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__irshift__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__irshift__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__ixor__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__ixor__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__lshift__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__lshift__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__or__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__or__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__rshift__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__rshift__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__xor__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="fm">__xor__</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">abs</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">abs_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">acos</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">acos</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">acos_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
           <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">add_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">add_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
            <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addbmm</span><span class="p">(</span><span class="n">batch1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">batch2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
              <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addbmm</span><span class="p">(</span><span class="n">batch1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">batch2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
              <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addbmm_</span><span class="p">(</span><span class="n">batch1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">batch2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
               <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addcdiv</span><span class="p">(</span><span class="n">tensor1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">tensor2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
               <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addcdiv</span><span class="p">(</span><span class="n">tensor1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">tensor2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addcdiv_</span><span class="p">(</span><span class="n">tensor1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">tensor2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addcmul</span><span class="p">(</span><span class="n">tensor1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">tensor2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addcmul</span><span class="p">(</span><span class="n">tensor1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">tensor2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
               <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addcmul_</span><span class="p">(</span><span class="n">tensor1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">tensor2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addmm</span><span class="p">(</span><span class="n">mat1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
             <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addmm</span><span class="p">(</span><span class="n">mat1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
             <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addmm_</span><span class="p">(</span><span class="n">mat1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
              <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addmv</span><span class="p">(</span><span class="n">mat</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">vec</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
             <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addmv</span><span class="p">(</span><span class="n">mat</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">vec</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
             <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addmv_</span><span class="p">(</span><span class="n">mat</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">vec</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
              <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addr</span><span class="p">(</span><span class="n">vec1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">vec2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
            <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addr</span><span class="p">(</span><span class="n">vec1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">vec2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
            <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">addr_</span><span class="p">(</span><span class="n">vec1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">vec2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
             <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">align_as</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">all</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">all</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">all</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">allclose</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">rtol</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-05</span><span class="p">,</span>
                <span class="n">atol</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-08</span><span class="p">,</span>
                <span class="n">equal_nan</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">angle</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">angle</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">any</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">any</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">any</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
              <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">argmin</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
              <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">argsort</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
               <span class="n">descending</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">as_strided</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                  <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                  <span class="n">storage_offset</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">as_strided_</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                   <span class="n">stride</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                   <span class="n">storage_offset</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">asin</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">asin</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">asin_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">atan</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">atan</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">atan2</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">atan2_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">atan_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">backward</span><span class="p">(</span><span class="n">gradient</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                <span class="n">retain_graph</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">],</span>
                <span class="n">create_graph</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">baddbmm</span><span class="p">(</span><span class="n">batch1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">batch2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
               <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">baddbmm</span><span class="p">(</span><span class="n">batch1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">batch2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
               <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
               <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">baddbmm_</span><span class="p">(</span><span class="n">batch1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">batch2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bernoulli</span><span class="p">(</span><span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bernoulli</span><span class="p">(</span><span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                 <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bernoulli</span><span class="p">(</span><span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">],</span>
                 <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bernoulli_</span><span class="p">(</span><span class="n">p</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bernoulli_</span><span class="p">(</span><span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
                  <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bincount</span><span class="p">(</span><span class="n">weights</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                <span class="n">minlength</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bitwise_not</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bitwise_not</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bitwise_not_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bitwise_xor</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bitwise_xor</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                   <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bitwise_xor</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bitwise_xor</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bitwise_xor_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bitwise_xor_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bmm</span><span class="p">(</span><span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">bmm</span><span class="p">(</span><span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cauchy_</span><span class="p">(</span><span class="n">median</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span>
               <span class="n">sigma</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
               <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ceil</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ceil_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cholesky</span><span class="p">(</span><span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cholesky</span><span class="p">(</span><span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cholesky_inverse</span><span class="p">(</span><span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cholesky_inverse</span><span class="p">(</span><span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                        <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cholesky_solve</span><span class="p">(</span><span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                      <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cholesky_solve</span><span class="p">(</span><span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">chunk</span><span class="p">(</span><span class="n">chunks</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">clamp</span><span class="p">(</span><span class="nb">min</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
             <span class="nb">max</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">clamp</span><span class="p">(</span><span class="nb">min</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
             <span class="nb">max</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">clamp_</span><span class="p">(</span><span class="nb">min</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
              <span class="nb">max</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">clamp_max</span><span class="p">(</span><span class="nb">max</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">clamp_max</span><span class="p">(</span><span class="nb">max</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                 <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">clamp_max_</span><span class="p">(</span><span class="nb">max</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">clamp_min</span><span class="p">(</span><span class="nb">min</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                 <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">clamp_min</span><span class="p">(</span><span class="nb">min</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">clamp_min_</span><span class="p">(</span><span class="nb">min</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">clone</span><span class="p">(</span><span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">coalesce</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">conj</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">conj</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">contiguous</span><span class="p">(</span><span class="n">memory_format</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">copy_</span><span class="p">(</span><span class="n">src</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">non_blocking</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">copy_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">copy_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">copy_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cos</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cos_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cosh</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cosh</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cosh_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cross</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cross</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cuda</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cumprod</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cumprod</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
               <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cumsum</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">cumsum</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">data</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">dense_dim</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">dequantize</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">det</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">detach</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">detach_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">diag</span><span class="p">(</span><span class="n">diagonal</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">diag</span><span class="p">(</span><span class="n">diagonal</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">diag_embed</span><span class="p">(</span><span class="n">offset</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                  <span class="n">dim1</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">2</span><span class="p">,</span>
                  <span class="n">dim2</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">diagflat</span><span class="p">(</span><span class="n">offset</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">diagonal</span><span class="p">(</span><span class="n">offset</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                <span class="n">dim1</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
                <span class="n">dim2</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">digamma</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">digamma</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">digamma_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">dim</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">dist</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">p</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">div</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">div</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">div</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">div_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">div_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">tensor</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">tensor</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">eig</span><span class="p">(</span><span class="n">eigenvectors</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">eq_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">eq_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">equal</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">erf</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">erf</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">erf_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">erfc</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">erfc</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">erfc_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">erfinv</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">erfinv</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">erfinv_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">exp</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">exp_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">expand</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
              <span class="n">implicit</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">expand_as</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">expm1</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">expm1</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">expm1_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">exponential_</span><span class="p">(</span><span class="n">lambd</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
                    <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">fft</span><span class="p">(</span><span class="n">signal_ndim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">normalized</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">fill_</span><span class="p">(</span><span class="n">value</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">fill_</span><span class="p">(</span><span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">fill_diagonal_</span><span class="p">(</span><span class="n">fill_value</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                      <span class="n">wrap</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">flatten</span><span class="p">(</span><span class="n">start_dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
               <span class="n">end_dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">flip</span><span class="p">(</span><span class="n">dims</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">floor</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">floor_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">fmod</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">fmod_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">fmod_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">frac</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">frac</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">frac_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">gather</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">sparse_grad</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">gather</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">sparse_grad</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ge</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ge</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ge</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ge</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ge_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ge_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">geometric_</span><span class="p">(</span><span class="n">p</span> <span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
                  <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">geqrf</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ger</span><span class="p">(</span><span class="n">vec2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ger</span><span class="p">(</span><span class="n">vec2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">get_device</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">get_device</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">get_device</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">gt</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">gt</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">gt</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">gt</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">gt_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">gt_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">hardshrink</span><span class="p">(</span><span class="n">lambd</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">histc</span><span class="p">(</span><span class="n">bins</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span>
             <span class="nb">min</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
             <span class="nb">max</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">histc</span><span class="p">(</span><span class="n">bins</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span>
             <span class="nb">min</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
             <span class="nb">max</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ifft</span><span class="p">(</span><span class="n">signal_ndim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
            <span class="n">normalized</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">imag</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">imag</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">index_add</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">source</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">index_add_</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                  <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">source</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">index_copy</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                  <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">source</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">index_copy_</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">source</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">index_fill</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                  <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">value</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">index_fill</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                  <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">index_fill_</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">value</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">index_fill_</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">index_put</span><span class="p">(</span><span class="n">indices</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]],</span>
                 <span class="n">values</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">accumulate</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">index_put</span><span class="p">(</span><span class="n">indices</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                 <span class="n">values</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">accumulate</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">index_put_</span><span class="p">(</span><span class="n">indices</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]],</span>
                  <span class="n">values</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">accumulate</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">index_put_</span><span class="p">(</span><span class="n">indices</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
                  <span class="n">values</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">accumulate</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">index_select</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                    <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">index_select</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                    <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">indices</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">int_repr</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">inverse</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">inverse</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">irfft</span><span class="p">(</span><span class="n">signal_ndim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
             <span class="n">normalized</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
             <span class="n">onesided</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
             <span class="n">signal_sizes</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">is_coalesced</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">is_complex</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">is_contiguous</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">is_contiguous</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">is_contiguous</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">is_distributed</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">is_floating_point</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">is_leaf</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">is_nonzero</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">is_pinned</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">is_same_size</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">is_set_to</span><span class="p">(</span><span class="n">tensor</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">is_signed</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">bool</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">isclose</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">rtol</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-05</span><span class="p">,</span>
               <span class="n">atol</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-08</span><span class="p">,</span>
               <span class="n">equal_nan</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">item</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">number</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">kthvalue</span><span class="p">(</span><span class="n">k</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
                <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">le</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">le</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">le</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">le</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">le_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">le_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lerp</span><span class="p">(</span><span class="n">end</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lerp</span><span class="p">(</span><span class="n">end</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">weight</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lerp</span><span class="p">(</span><span class="n">end</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lerp</span><span class="p">(</span><span class="n">end</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">weight</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lerp_</span><span class="p">(</span><span class="n">end</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lerp_</span><span class="p">(</span><span class="n">end</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">weight</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lgamma</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lgamma</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lgamma_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">log</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">log10</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">log10_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">log1p</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">log1p</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">log1p_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">log2</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">log2</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">log2_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">log_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">log_normal_</span><span class="p">(</span><span class="n">mean</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
                   <span class="n">std</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">2.0</span><span class="p">,</span>
                   <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">log_softmax</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">logdet</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">logical_not</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">logical_not</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">logical_not_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">logical_xor</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">logical_xor</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">logical_xor_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">logsumexp</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">logsumexp</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                 <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lstsq</span><span class="p">(</span><span class="n">A</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lt</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lt</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lt</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lt</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lt_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lt_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lu_solve</span><span class="p">(</span><span class="n">LU_data</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">LU_pivots</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">lu_solve</span><span class="p">(</span><span class="n">LU_data</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">LU_pivots</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">masked_fill</span><span class="p">(</span><span class="n">mask</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">value</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">masked_fill</span><span class="p">(</span><span class="n">mask</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">masked_fill_</span><span class="p">(</span><span class="n">mask</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">value</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">masked_fill_</span><span class="p">(</span><span class="n">mask</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">masked_scatter</span><span class="p">(</span><span class="n">mask</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                      <span class="n">source</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">masked_scatter_</span><span class="p">(</span><span class="n">mask</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                       <span class="n">source</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">masked_select</span><span class="p">(</span><span class="n">mask</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                     <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">masked_select</span><span class="p">(</span><span class="n">mask</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">matrix_power</span><span class="p">(</span><span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">max</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
            <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
            <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">median</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">min</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">mm</span><span class="p">(</span><span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">mm</span><span class="p">(</span><span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">mode</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
            <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">mul</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">mul_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">mul_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">multinomial</span><span class="p">(</span><span class="n">num_samples</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">replacement</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                   <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">multinomial</span><span class="p">(</span><span class="n">num_samples</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">replacement</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                   <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">],</span>
                   <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">mv</span><span class="p">(</span><span class="n">vec</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">mv</span><span class="p">(</span><span class="n">vec</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">mvlgamma</span><span class="p">(</span><span class="n">p</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">mvlgamma_</span><span class="p">(</span><span class="n">p</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">narrow</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">start</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">length</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">narrow_copy</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">start</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">length</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ne</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
          <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ne_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ne_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">neg</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">neg</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">neg_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">new_empty</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                 <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">new_full</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                <span class="n">fill_value</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">new_zeros</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">layout</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                 <span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
                 <span class="n">pin_memory</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">nonzero</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">nonzero</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="n">p</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="n">p</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
            <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="n">p</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
            <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="n">p</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
            <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
            <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="n">p</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
            <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="n">p</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">number</span><span class="p">],</span>
            <span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
            <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">normal_</span><span class="p">(</span><span class="n">mean</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span>
               <span class="n">std</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
               <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">numel</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">orgqr</span><span class="p">(</span><span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">orgqr</span><span class="p">(</span><span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ormqr</span><span class="p">(</span><span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">input3</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">left</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
             <span class="n">transpose</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">ormqr</span><span class="p">(</span><span class="n">input2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">input3</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
             <span class="n">left</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
             <span class="n">transpose</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
             <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">output_nr</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">permute</span><span class="p">(</span><span class="n">dims</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">pin_memory</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">pinverse</span><span class="p">(</span><span class="n">rcond</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1e-15</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">polygamma_</span><span class="p">(</span><span class="n">n</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">exponent</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">exponent</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">exponent</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">exponent</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">pow_</span><span class="p">(</span><span class="n">exponent</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">pow_</span><span class="p">(</span><span class="n">exponent</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">prelu</span><span class="p">(</span><span class="n">weight</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
            <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
            <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
            <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
            <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">put_</span><span class="p">(</span><span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">source</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">accumulate</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">q_per_channel_axis</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">q_per_channel_scales</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">q_per_channel_zero_points</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">q_scale</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">float</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">q_zero_point</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">qr</span><span class="p">(</span><span class="n">some</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">qscheme</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">random_</span><span class="p">(</span><span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">random_</span><span class="p">(</span><span class="n">to</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">random_</span><span class="p">(</span><span class="kn">from</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">to</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">real</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">real</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">reciprocal</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">reciprocal</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">reciprocal_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">relu</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">relu_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">remainder</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">remainder</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">remainder</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                 <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">remainder</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
                 <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">remainder_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">remainder_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">renorm</span><span class="p">(</span><span class="n">p</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
              <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">maxnorm</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
              <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">renorm</span><span class="p">(</span><span class="n">p</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
              <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">maxnorm</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">renorm_</span><span class="p">(</span><span class="n">p</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
               <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">maxnorm</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">repeats</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">repeat_interleave</span><span class="p">(</span><span class="n">repeats</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                         <span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">repeat_interleave</span><span class="p">(</span><span class="n">repeats</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                         <span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">requires_grad_</span><span class="p">(</span><span class="n">_requires_grad</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">requires_grad_</span><span class="p">(</span><span class="n">_requires_grad</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">shape</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">reshape_as</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">resize_</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
               <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">resize_as_</span><span class="p">(</span><span class="n">the_template</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                  <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">rfft</span><span class="p">(</span><span class="n">signal_ndim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
            <span class="n">normalized</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
            <span class="n">onesided</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">roll</span><span class="p">(</span><span class="n">shifts</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">dims</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">rot90</span><span class="p">(</span><span class="n">k</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
             <span class="n">dims</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">round</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">round_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">rsqrt</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">rsqrt</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">rsqrt_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">src</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
               <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">scatter_</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">src</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">scatter_</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">value</span> <span class="p">:</span> <span class="n">number</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">scatter_add</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                   <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                   <span class="n">src</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">scatter_add_</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                    <span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                    <span class="n">src</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">index</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">set_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">set_</span><span class="p">(</span><span class="n">source</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sigmoid</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sigmoid</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sigmoid_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sign</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sign</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sign_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sin</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sin_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sinh</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sinh</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sinh_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">size</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">slogdet</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">smm</span><span class="p">(</span><span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">softmax</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
               <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">solve</span><span class="p">(</span><span class="n">A</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
            <span class="n">descending</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sparse_dim</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sparse_mask</span><span class="p">(</span><span class="n">mask</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sparse_resize_</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                      <span class="n">sparse_dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                      <span class="n">dense_dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sparse_resize_and_clear_</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                                <span class="n">sparse_dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                                <span class="n">dense_dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="n">split_size</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="n">split_sizes</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
             <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">split_with_sizes</span><span class="p">(</span><span class="n">split_sizes</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
                        <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sqrt</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sqrt_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">squeeze_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">squeeze_</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sspaddmm</span><span class="p">(</span><span class="n">mat1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sspaddmm</span><span class="p">(</span><span class="n">mat1</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">mat2</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                <span class="n">beta</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
                <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">stft</span><span class="p">(</span><span class="n">n_fft</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
            <span class="n">hop_length</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">win_length</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
            <span class="n">window</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">],</span>
            <span class="n">normalized</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
            <span class="n">onesided</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">storage_offset</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">storage_offset</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">storage_offset</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">stride</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
           <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
           <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sub_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sub_</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">number</span><span class="p">,</span>
            <span class="n">alpha</span> <span class="p">:</span> <span class="n">number</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
           <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
           <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">sum_to_size</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">svd</span><span class="p">(</span><span class="n">some</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
           <span class="n">compute_uv</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">symeig</span><span class="p">(</span><span class="n">eigenvectors</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
              <span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">t</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">t_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">take</span><span class="p">(</span><span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">take</span><span class="p">(</span><span class="n">index</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">tan</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">tan</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">tan_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">tanh</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">tanh_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
          <span class="n">non_blocking</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">copy</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">non_blocking</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">copy</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span> <span class="p">:</span> <span class="n">Device</span><span class="p">,</span>
          <span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">non_blocking</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">copy</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">dtype</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">layout</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
          <span class="n">device</span> <span class="p">:</span> <span class="n">Device</span><span class="p">,</span>
          <span class="n">pin_memory</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">non_blocking</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">copy</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">memory_format</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Device</span><span class="p">],</span>
          <span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
          <span class="n">non_blocking</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">copy</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">dtype</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
          <span class="n">non_blocking</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">copy</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">non_blocking</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
          <span class="n">copy</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">to_dense</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">to_mkldnn</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">to_sparse</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">to_sparse</span><span class="p">(</span><span class="n">sparse_dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="n">k</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
            <span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
            <span class="n">largest</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
            <span class="nb">sorted</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">trace</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">dim0</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                 <span class="n">dim1</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">transpose_</span><span class="p">(</span><span class="n">dim0</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
                  <span class="n">dim1</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">triangular_solve</span><span class="p">(</span><span class="n">A</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span>
                        <span class="n">upper</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                        <span class="n">transpose</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                        <span class="n">unitriangular</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">tril</span><span class="p">(</span><span class="n">diagonal</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">tril</span><span class="p">(</span><span class="n">diagonal</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">tril_</span><span class="p">(</span><span class="n">diagonal</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">triu</span><span class="p">(</span><span class="n">diagonal</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
            <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">triu</span><span class="p">(</span><span class="n">diagonal</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">triu_</span><span class="p">(</span><span class="n">diagonal</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">trunc</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">trunc</span><span class="p">(</span><span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">trunc_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">type_as</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">unbind</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">unfold</span><span class="p">(</span><span class="n">dimension</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">size</span> <span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
              <span class="n">step</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">uniform_</span><span class="p">(</span><span class="kn">from</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span>
                <span class="n">to</span> <span class="p">:</span> <span class="nb">float</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
                <span class="n">generator</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Generator</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">unique_consecutive</span><span class="p">(</span><span class="n">return_inverse</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                          <span class="n">return_counts</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
                          <span class="n">dim</span> <span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">unsqueeze</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">unsqueeze_</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">values</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">var</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
           <span class="n">out</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">var</span><span class="p">(</span><span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">var</span><span class="p">(</span><span class="n">dim</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
           <span class="n">unbiased</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
           <span class="n">keepdim</span> <span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="n">size</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">view_as</span><span class="p">(</span><span class="n">other</span> <span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>

<span class="n">Tensor</span><span class="o">.</span><span class="n">zero_</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tensor</span>
</pre></div>
</div>
</div>
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