Generate Python docs from pytorch/pytorch@08889b2

Author: pytorchbot

docs/master/__config__.html

@@ -208,7 +208,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git52c516e ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git08889b2 ) &#x25BC</a>
     </div>
 
 

docs/master/_images/RReLU.png

@@ -207,7 +207,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git52c516e ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git08889b2 ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/index.html

@@ -207,7 +207,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git52c516e ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git08889b2 ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch.html

@@ -207,7 +207,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git52c516e ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git08889b2 ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/__config__.html

@@ -207,7 +207,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git52c516e ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git08889b2 ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_jit_internal.html

@@ -207,7 +207,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git52c516e ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git08889b2 ) &#x25BC</a>
     </div>
 
 
@@ -492,7 +492,7 @@ <h1>Source code for torch._lowrank</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">Q</span>
 
 
-<span class="k">def</span> <span class="nf">svd_lowrank</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">q</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">6</span><span class="p">,</span> <span class="n">niter</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">2</span><span class="p">,</span>
+<div class="viewcode-block" id="svd_lowrank"><a class="viewcode-back" href="../../generated/torch.svd_lowrank.html#torch.svd_lowrank">[docs]</a><span class="k">def</span> <span class="nf">svd_lowrank</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">q</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">6</span><span class="p">,</span> <span class="n">niter</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">2</span><span class="p">,</span>
                 <span class="n">M</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">=</span> <span class="kc">None</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="sa">r</span><span class="sd">&quot;&quot;&quot;Return the singular value decomposition ``(U, S, V)`` of a matrix,</span>
 <span class="sd">    batches of matrices, or a sparse matrix :math:`A` such that</span>
@@ -537,7 +537,7 @@ <h1>Source code for torch._lowrank</h1><div class="highlight"><pre>
         <span class="n">tensor_ops</span> <span class="o">=</span> <span class="p">(</span><span class="n">A</span><span class="p">,</span> <span class="n">M</span><span class="p">)</span>
         <span class="k">if</span> <span class="p">(</span><span class="ow">not</span> <span class="nb">set</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="nb">type</span><span class="p">,</span> <span class="n">tensor_ops</span><span class="p">))</span><span class="o">.</span><span class="n">issubset</span><span class="p">((</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="nb">type</span><span class="p">(</span><span class="kc">None</span><span class="p">)))</span> <span class="ow">and</span> <span class="n">has_torch_function</span><span class="p">(</span><span class="n">tensor_ops</span><span class="p">)):</span>
             <span class="k">return</span> <span class="n">handle_torch_function</span><span class="p">(</span><span class="n">svd_lowrank</span><span class="p">,</span> <span class="n">tensor_ops</span><span class="p">,</span> <span class="n">A</span><span class="p">,</span> <span class="n">q</span><span class="o">=</span><span class="n">q</span><span class="p">,</span> <span class="n">niter</span><span class="o">=</span><span class="n">niter</span><span class="p">,</span> <span class="n">M</span><span class="o">=</span><span class="n">M</span><span class="p">)</span>
-    <span class="k">return</span> <span class="n">_svd_lowrank</span><span class="p">(</span><span class="n">A</span><span class="p">,</span> <span class="n">q</span><span class="o">=</span><span class="n">q</span><span class="p">,</span> <span class="n">niter</span><span class="o">=</span><span class="n">niter</span><span class="p">,</span> <span class="n">M</span><span class="o">=</span><span class="n">M</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">_svd_lowrank</span><span class="p">(</span><span class="n">A</span><span class="p">,</span> <span class="n">q</span><span class="o">=</span><span class="n">q</span><span class="p">,</span> <span class="n">niter</span><span class="o">=</span><span class="n">niter</span><span class="p">,</span> <span class="n">M</span><span class="o">=</span><span class="n">M</span><span class="p">)</span></div>
 
 
 <span class="k">def</span> <span class="nf">_svd_lowrank</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">q</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">6</span><span class="p">,</span> <span class="n">niter</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">2</span><span class="p">,</span>
@@ -587,7 +587,7 @@ <h1>Source code for torch._lowrank</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">U</span><span class="p">,</span> <span class="n">S</span><span class="p">,</span> <span class="n">V</span>
 
 
-<div class="viewcode-block" id="pca_lowrank"><a class="viewcode-back" href="../../generated/torch.pca_lowrank.html#torch.pca_lowrank">[docs]</a><span class="k">def</span> <span class="nf">pca_lowrank</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">q</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">center</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="k">def</span> <span class="nf">pca_lowrank</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">q</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">center</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">niter</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="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="sa">r</span><span class="sd">&quot;&quot;&quot;Performs linear Principal Component Analysis (PCA) on a low-rank</span>
 <span class="sd">    matrix, batches of such matrices, or sparse matrix.</span>
@@ -688,7 +688,7 @@ <h1>Source code for torch._lowrank</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="n">_svd_lowrank</span><span class="p">(</span><span class="n">A</span><span class="p">,</span> <span class="n">q</span><span class="p">,</span> <span class="n">niter</span><span class="o">=</span><span class="n">niter</span><span class="p">,</span> <span class="n">M</span><span class="o">=</span><span class="n">M</span><span class="p">)</span>
     <span class="k">else</span><span class="p">:</span>
         <span class="n">C</span> <span class="o">=</span> <span class="n">A</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mi">2</span><span class="p">,),</span> <span class="n">keepdim</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
-        <span class="k">return</span> <span class="n">_svd_lowrank</span><span class="p">(</span><span class="n">A</span> <span class="o">-</span> <span class="n">C</span><span class="p">,</span> <span class="n">q</span><span class="p">,</span> <span class="n">niter</span><span class="o">=</span><span class="n">niter</span><span class="p">,</span> <span class="n">M</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span></div>
+        <span class="k">return</span> <span class="n">_svd_lowrank</span><span class="p">(</span><span class="n">A</span> <span class="o">-</span> <span class="n">C</span><span class="p">,</span> <span class="n">q</span><span class="p">,</span> <span class="n">niter</span><span class="o">=</span><span class="n">niter</span><span class="p">,</span> <span class="n">M</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
 </pre></div>
 
              </article>

docs/master/_modules/torch/_lobpcg.html

@@ -207,7 +207,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git52c516e ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git08889b2 ) &#x25BC</a>
     </div>
 
 
@@ -519,9 +519,9 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
                     <span class="k">else</span><span class="p">:</span>
                         <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Unsupported qscheme </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">qscheme</span><span class="p">()</span><span class="si">}</span><span class="s2"> in deepcopy&quot;</span><span class="p">)</span>
                     <span class="c1"># TODO: Once we decide to break serialization FC, no longer</span>
-                    <span class="c1"># need to wrap with TypedStorage</span>
+                    <span class="c1"># need to wrap with _TypedStorage</span>
                     <span class="n">new_tensor</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">_utils</span><span class="o">.</span><span class="n">_rebuild_qtensor</span><span class="p">(</span>
-                        <span class="n">torch</span><span class="o">.</span><span class="n">storage</span><span class="o">.</span><span class="n">TypedStorage</span><span class="p">(</span>
+                        <span class="n">torch</span><span class="o">.</span><span class="n">storage</span><span class="o">.</span><span class="n">_TypedStorage</span><span class="p">(</span>
                             <span class="n">wrap_storage</span><span class="o">=</span><span class="n">new_storage</span><span class="o">.</span><span class="n">_untyped</span><span class="p">(),</span>
                             <span class="n">dtype</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span>
                         <span class="bp">self</span><span class="o">.</span><span class="n">storage_offset</span><span class="p">(),</span>
@@ -642,9 +642,9 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
             <span class="k">else</span><span class="p">:</span>
                 <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Serialization is not supported for tensors of type </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">qscheme</span><span class="p">()</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
             <span class="c1"># TODO: Once we decide to break serialization FC, no longer</span>
-            <span class="c1"># need to wrap with TypedStorage</span>
+            <span class="c1"># need to wrap with _TypedStorage</span>
             <span class="n">args_qtensor</span> <span class="o">=</span> <span class="p">(</span>
-                <span class="n">torch</span><span class="o">.</span><span class="n">storage</span><span class="o">.</span><span class="n">TypedStorage</span><span class="p">(</span>
+                <span class="n">torch</span><span class="o">.</span><span class="n">storage</span><span class="o">.</span><span class="n">_TypedStorage</span><span class="p">(</span>
                     <span class="n">wrap_storage</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">storage</span><span class="p">()</span><span class="o">.</span><span class="n">_untyped</span><span class="p">(),</span>
                     <span class="n">dtype</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">storage_offset</span><span class="p">(),</span>
@@ -677,9 +677,9 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
             <span class="k">return</span> <span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">_utils</span><span class="o">.</span><span class="n">_rebuild_sparse_csr_tensor</span><span class="p">,</span> <span class="n">args_sparse_csr</span><span class="p">)</span>
         <span class="k">else</span><span class="p">:</span>
             <span class="c1"># TODO: Once we decide to break serialization FC, no longer</span>
-            <span class="c1"># need to wrap with TypedStorage</span>
+            <span class="c1"># need to wrap with _TypedStorage</span>
             <span class="n">args</span> <span class="o">=</span> <span class="p">(</span>
-                <span class="n">torch</span><span class="o">.</span><span class="n">storage</span><span class="o">.</span><span class="n">TypedStorage</span><span class="p">(</span>
+                <span class="n">torch</span><span class="o">.</span><span class="n">storage</span><span class="o">.</span><span class="n">_TypedStorage</span><span class="p">(</span>
                     <span class="n">wrap_storage</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">storage</span><span class="p">()</span><span class="o">.</span><span class="n">_untyped</span><span class="p">(),</span>
                     <span class="n">dtype</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span><span class="p">),</span>
                 <span class="bp">self</span><span class="o">.</span><span class="n">storage_offset</span><span class="p">(),</span>
@@ -1240,9 +1240,9 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
 <span class="sd">        Returns the type of the underlying storage.</span>
 
 <span class="sd">        &quot;&quot;&quot;</span>
-        <span class="c1"># NB: this returns old fashioned TypedStorage, e.g., FloatStorage, as it</span>
+        <span class="c1"># NB: this returns old fashioned _TypedStorage, e.g., FloatStorage, as it</span>
         <span class="c1"># would be pretty pointless otherwise (it would always return</span>
-        <span class="c1"># UntypedStorage)</span>
+        <span class="c1"># _UntypedStorage)</span>
         <span class="k">return</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">storage</span><span class="p">())</span>
 
     <span class="k">def</span> <span class="nf">refine_names</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">names</span><span class="p">):</span>

docs/master/_modules/torch/_lowrank.html

@@ -207,7 +207,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git52c516e ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git08889b2 ) &#x25BC</a>
     </div>