Generate Python docs from pytorch/pytorch@13468ed

Author: pytorchbot

docs/master/__config__.html

@@ -194,7 +194,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 

docs/master/_images/RReLU.png

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/index.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/__config__.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_jit_internal.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_lobpcg.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 
@@ -570,7 +570,7 @@ <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>
@@ -671,7 +671,7 @@ <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/_lowrank.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_tensor.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_tensor_str.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_vmap_internals.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/ao/ns/_numeric_suite.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/ao/ns/_numeric_suite_fx.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/ao/ns/fx/utils.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/ao/quantization/fake_quantize.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/ao/quantization/fuse_modules.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/ao/quantization/observer.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitf547c5c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git13468ed ) &#x25BC</a>
     </div>
 
 
@@ -426,7 +426,7 @@ <h1>Source code for torch.ao.quantization.qconfig</h1><div class="highlight"><pr
     <span class="n">default_weight_observer</span><span class="p">,</span>
 <span class="p">)</span>
 
-<span class="k">class</span> <span class="nc">QConfig</span><span class="p">(</span><span class="n">namedtuple</span><span class="p">(</span><span class="s1">&#39;QConfig&#39;</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;activation&#39;</span><span class="p">,</span> <span class="s1">&#39;weight&#39;</span><span class="p">])):</span>
+<div class="viewcode-block" id="QConfig"><a class="viewcode-back" href="../../../../generated/torch.quantization.qconfig.QConfig.html#torch.quantization.qconfig.QConfig">[docs]</a><span class="k">class</span> <span class="nc">QConfig</span><span class="p">(</span><span class="n">namedtuple</span><span class="p">(</span><span class="s1">&#39;QConfig&#39;</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;activation&#39;</span><span class="p">,</span> <span class="s1">&#39;weight&#39;</span><span class="p">])):</span>
     <span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Describes how to quantize a layer or a part of the network by providing</span>
 <span class="sd">    settings (observer classes) for activations and weights respectively.</span>
@@ -450,7 +450,7 @@ <h1>Source code for torch.ao.quantization.qconfig</h1><div class="highlight"><pr
         <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">activation</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">)</span> <span class="ow">or</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">weight</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
             <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;QConfig received observer instance, please pass observer class instead. &quot;</span> <span class="o">+</span>
                              <span class="s2">&quot;Use MyObserver.with_args(x=1) to override arguments to constructor if needed&quot;</span><span class="p">)</span>
-        <span class="k">return</span> <span class="nb">super</span><span class="p">(</span><span class="n">QConfig</span><span class="p">,</span> <span class="bp">cls</span><span class="p">)</span><span class="o">.</span><span class="fm">__new__</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">activation</span><span class="p">,</span> <span class="n">weight</span><span class="p">)</span>
+        <span class="k">return</span> <span class="nb">super</span><span class="p">(</span><span class="n">QConfig</span><span class="p">,</span> <span class="bp">cls</span><span class="p">)</span><span class="o">.</span><span class="fm">__new__</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">activation</span><span class="p">,</span> <span class="n">weight</span><span class="p">)</span></div>
 
 
 <span class="n">default_qconfig</span> <span class="o">=</span> <span class="n">QConfig</span><span class="p">(</span><span class="n">activation</span><span class="o">=</span><span class="n">default_observer</span><span class="p">,</span>
@@ -471,7 +471,7 @@ <h1>Source code for torch.ao.quantization.qconfig</h1><div class="highlight"><pr
 <span class="sd">Default qconfig configuration for per channel weight quantization.</span>
 <span class="sd">&quot;&quot;&quot;</span>
 
-<span class="k">class</span> <span class="nc">QConfigDynamic</span><span class="p">(</span><span class="n">namedtuple</span><span class="p">(</span><span class="s1">&#39;QConfigDynamic&#39;</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;activation&#39;</span><span class="p">,</span> <span class="s1">&#39;weight&#39;</span><span class="p">])):</span>
+<div class="viewcode-block" id="QConfigDynamic"><a class="viewcode-back" href="../../../../generated/torch.quantization.qconfig.QConfigDynamic.html#torch.quantization.qconfig.QConfigDynamic">[docs]</a><span class="k">class</span> <span class="nc">QConfigDynamic</span><span class="p">(</span><span class="n">namedtuple</span><span class="p">(</span><span class="s1">&#39;QConfigDynamic&#39;</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;activation&#39;</span><span class="p">,</span> <span class="s1">&#39;weight&#39;</span><span class="p">])):</span>
     <span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Describes how to dynamically quantize a layer or a part of the network by providing</span>
 <span class="sd">    settings (observer classes) for weights.</span>
@@ -493,7 +493,7 @@ <h1>Source code for torch.ao.quantization.qconfig</h1><div class="highlight"><pr
         <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">weight</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
             <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;QConfigDynamic received observer instance, please pass observer class instead. &quot;</span> <span class="o">+</span>
                              <span class="s2">&quot;Use MyObserver.with_args(x=1) to override arguments to constructor if needed&quot;</span><span class="p">)</span>
-        <span class="k">return</span> <span class="nb">super</span><span class="p">(</span><span class="n">QConfigDynamic</span><span class="p">,</span> <span class="bp">cls</span><span class="p">)</span><span class="o">.</span><span class="fm">__new__</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">activation</span><span class="p">,</span> <span class="n">weight</span><span class="p">)</span>
+        <span class="k">return</span> <span class="nb">super</span><span class="p">(</span><span class="n">QConfigDynamic</span><span class="p">,</span> <span class="bp">cls</span><span class="p">)</span><span class="o">.</span><span class="fm">__new__</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">activation</span><span class="p">,</span> <span class="n">weight</span><span class="p">)</span></div>
 
 <span class="n">default_dynamic_qconfig</span> <span class="o">=</span> <span class="n">QConfigDynamic</span><span class="p">(</span><span class="n">activation</span><span class="o">=</span><span class="n">default_dynamic_quant_observer</span><span class="p">,</span>
                                          <span class="n">weight</span><span class="o">=</span><span class="n">default_weight_observer</span><span class="p">)</span>