Generate Python docs from pytorch/pytorch@7a93d8b

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 (1.11.0a0+git786f946 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git7a93d8b ) &#x25BC</a>
     </div>
 
 
@@ -290,6 +290,7 @@
 <li class="toctree-l1"><a class="reference internal" href="hub.html">torch.hub</a></li>
 <li class="toctree-l1"><a class="reference internal" href="jit.html">torch.jit</a></li>
 <li class="toctree-l1"><a class="reference internal" href="linalg.html">torch.linalg</a></li>
+<li class="toctree-l1"><a class="reference internal" href="monitor.html">torch.monitor</a></li>
 <li class="toctree-l1"><a class="reference internal" href="special.html">torch.special</a></li>
 <li class="toctree-l1"><a class="reference internal" href="torch.overrides.html">torch.overrides</a></li>
 <li class="toctree-l1"><a class="reference internal" href="package.html">torch.package</a></li>

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 (1.11.0a0+git786f946 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git7a93d8b ) &#x25BC</a>
     </div>
 
 
@@ -289,6 +289,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../hub.html">torch.hub</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../jit.html">torch.jit</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../linalg.html">torch.linalg</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../monitor.html">torch.monitor</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../special.html">torch.special</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../torch.overrides.html">torch.overrides</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../package.html">torch.package</a></li>
@@ -410,6 +411,7 @@ <h1>All modules for which code is available</h1>
 <li><a href="torch/_C/_distributed_rpc.html">torch._C._distributed_rpc</a></li>
 <li><a href="torch/_C/_fft.html">torch._C._fft</a></li>
 <li><a href="torch/_C/_linalg.html">torch._C._linalg</a></li>
+<li><a href="torch/_C/_monitor.html">torch._C._monitor</a></li>
 <li><a href="torch/_C/_nn.html">torch._C._nn</a></li>
 <li><a href="torch/_C/_sparse.html">torch._C._sparse</a></li>
 <li><a href="torch/_C/_special.html">torch._C._special</a></li>

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 (1.11.0a0+git786f946 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git7a93d8b ) &#x25BC</a>
     </div>
 
 
@@ -289,6 +289,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../hub.html">torch.hub</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../jit.html">torch.jit</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../linalg.html">torch.linalg</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../monitor.html">torch.monitor</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../special.html">torch.special</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../torch.overrides.html">torch.overrides</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../package.html">torch.package</a></li>

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 (1.11.0a0+git786f946 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git7a93d8b ) &#x25BC</a>
     </div>
 
 
@@ -289,6 +289,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../hub.html">torch.hub</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../jit.html">torch.jit</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../linalg.html">torch.linalg</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../monitor.html">torch.monitor</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../special.html">torch.special</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../torch.overrides.html">torch.overrides</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../package.html">torch.package</a></li>
@@ -870,7 +871,7 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
         <span class="s2">&quot;if this method is not scripted, copy the python method onto the scripted model&quot;</span>
 
 
-<span class="k">def</span> <span class="nf">export</span><span class="p">(</span><span class="n">fn</span><span class="p">):</span>
+<div class="viewcode-block" id="export"><a class="viewcode-back" href="../../jit.html#torch.jit.export">[docs]</a><span class="k">def</span> <span class="nf">export</span><span class="p">(</span><span class="n">fn</span><span class="p">):</span>
     <span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    This decorator indicates that a method on an ``nn.Module`` is used as an entry point into a</span>
 <span class="sd">    :class:`ScriptModule` and should be compiled.</span>
@@ -913,7 +914,7 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
 <span class="sd">        m = torch.jit.script(MyModule())</span>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="n">fn</span><span class="o">.</span><span class="n">_torchscript_modifier</span> <span class="o">=</span> <span class="n">FunctionModifiers</span><span class="o">.</span><span class="n">EXPORT</span>
-    <span class="k">return</span> <span class="n">fn</span>
+    <span class="k">return</span> <span class="n">fn</span></div>
 
 
 <span class="k">def</span> <span class="nf">unused</span><span class="p">(</span><span class="n">fn</span><span class="p">):</span>

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 (1.11.0a0+git786f946 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git7a93d8b ) &#x25BC</a>
     </div>
 
 
@@ -289,6 +289,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../hub.html">torch.hub</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../jit.html">torch.jit</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../linalg.html">torch.linalg</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../monitor.html">torch.monitor</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../special.html">torch.special</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../torch.overrides.html">torch.overrides</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../package.html">torch.package</a></li>

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 (1.11.0a0+git786f946 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git7a93d8b ) &#x25BC</a>
     </div>
 
 
@@ -289,6 +289,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../hub.html">torch.hub</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../jit.html">torch.jit</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../linalg.html">torch.linalg</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../monitor.html">torch.monitor</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../special.html">torch.special</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../torch.overrides.html">torch.overrides</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../package.html">torch.package</a></li>
@@ -490,7 +491,7 @@ <h1>Source code for torch._lowrank</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">Q</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="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>
@@ -535,7 +536,7 @@ <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></div>
+    <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">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>
@@ -585,7 +586,7 @@ <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>
 
 
-<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>
+<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="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>
@@ -686,7 +687,7 @@ <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>
+        <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>
 </pre></div>
 
              </article>