Generate Python docs from pytorch/pytorch@7532d5b

Author: pytorchbot

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@@ -1193,16 +1193,16 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
             <span class="k">return</span> <span class="n">handle_torch_function</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="p">(</span><span class="bp">self</span><span class="p">,),</span> <span class="bp">self</span><span class="p">,</span> <span class="n">split_size</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="n">dim</span>
             <span class="p">)</span>
-        <span class="k">if</span> <span class="nb">isinstance</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="k">return</span> <span class="nb">super</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="o">.</span><span class="n">split</span><span class="p">(</span><span class="n">split_size</span><span class="p">,</span> <span class="n">dim</span><span class="p">)</span>
-        <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">split_size</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">):</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">split_size</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">):</span>
             <span class="k">try</span><span class="p">:</span>
                 <span class="n">split_size</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">split_size</span><span class="p">)</span>
-                <span class="k">return</span> <span class="nb">super</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="o">.</span><span class="n">split</span><span class="p">(</span><span class="n">split_size</span><span class="p">,</span> <span class="n">dim</span><span class="p">)</span>
             <span class="k">except</span> <span class="ne">ValueError</span><span class="p">:</span>
-                <span class="k">return</span> <span class="nb">super</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="o">.</span><span class="n">split_with_sizes</span><span class="p">(</span><span class="n">split_size</span><span class="p">,</span> <span class="n">dim</span><span class="p">)</span>
+                <span class="k">pass</span>
+
+        <span class="k">if</span> <span class="nb">isinstance</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="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">_VF</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">split_size</span><span class="p">,</span> <span class="n">dim</span><span class="p">)</span>  <span class="c1"># type: ignore[attr-defined]</span>
         <span class="k">else</span><span class="p">:</span>
-            <span class="k">return</span> <span class="nb">super</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="o">.</span><span class="n">split_with_sizes</span><span class="p">(</span><span class="n">split_size</span><span class="p">,</span> <span class="n">dim</span><span class="p">)</span></div>
+            <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">_VF</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">split_size</span><span class="p">,</span> <span class="n">dim</span><span class="p">)</span></div>
 
 <div class="viewcode-block" id="Tensor.unique"><a class="viewcode-back" href="../../generated/torch.Tensor.unique.html#torch.Tensor.unique">[docs]</a>    <span class="k">def</span> <span class="nf">unique</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">sorted</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">return_inverse</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">return_counts</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
         <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Returns the unique elements of the input tensor.</span>

docs/master/_modules/torch/_tensor.html

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@@ -219,7 +219,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.13.0a0+gitadc54dc ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.13.0a0+git7532d5b ) &#x25BC</a>
     </div>