Generate Python docs from pytorch/pytorch@f469bc1

Author: pytorchbot

docs/1.12/_images/RReLU.png

@@ -946,7 +946,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
         <span class="kn">from</span> <span class="nn">._linalg_utils</span> <span class="kn">import</span> <span class="n">solve</span>
         <span class="k">return</span> <span class="n">solve</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">)</span>
 
-    <span class="k">def</span> <span class="nf">lu</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pivot</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">get_infos</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+<div class="viewcode-block" id="Tensor.lu"><a class="viewcode-back" href="../../generated/torch.Tensor.lu.html#torch.Tensor.lu">[docs]</a>    <span class="k">def</span> <span class="nf">lu</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pivot</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">get_infos</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
         <span class="sa">r</span><span class="sd">&quot;&quot;&quot;See :func:`torch.lu`&quot;&quot;&quot;</span>
         <span class="c1"># If get_infos is True, then we don&#39;t need to check for errors and vice versa</span>
         <span class="k">if</span> <span class="n">has_torch_function_unary</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
@@ -956,7 +956,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
         <span class="k">if</span> <span class="n">get_infos</span><span class="p">:</span>
             <span class="k">return</span> <span class="n">LU</span><span class="p">,</span> <span class="n">pivots</span><span class="p">,</span> <span class="n">infos</span>
         <span class="k">else</span><span class="p">:</span>
-            <span class="k">return</span> <span class="n">LU</span><span class="p">,</span> <span class="n">pivots</span>
+            <span class="k">return</span> <span class="n">LU</span><span class="p">,</span> <span class="n">pivots</span></div>
 
     <span class="k">def</span> <span class="nf">stft</span><span class="p">(</span><span class="bp">self</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="o">=</span> <span class="kc">None</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="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">window</span><span class="p">:</span> <span class="s1">&#39;Optional[Tensor]&#39;</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>