Generate Python docs from pytorch/pytorch@fca8a0a

Author: pytorchbot

docs/master/__config__.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git785b690 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitfca8a0a ) &#x25BC</a>
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docs/master/_images/RReLU.png

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git785b690 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitfca8a0a ) &#x25BC</a>
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docs/master/_modules/index.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git785b690 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitfca8a0a ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git785b690 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitfca8a0a ) &#x25BC</a>
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docs/master/_modules/torch/__config__.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git785b690 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitfca8a0a ) &#x25BC</a>
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docs/master/_modules/torch/_jit_internal.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git785b690 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitfca8a0a ) &#x25BC</a>
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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 (1.11.0a0+git785b690 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitfca8a0a ) &#x25BC</a>
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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 (1.11.0a0+git785b690 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitfca8a0a ) &#x25BC</a>
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@@ -701,7 +701,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
         <span class="c1"># All strings are unicode in Python 3.</span>
         <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">_tensor_str</span><span class="o">.</span><span class="n">_str</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
 
-    <span class="k">def</span> <span class="nf">backward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gradient</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">retain_graph</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">create_graph</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">inputs</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="Tensor.backward"><a class="viewcode-back" href="../../generated/torch.Tensor.backward.html#torch.Tensor.backward">[docs]</a>    <span class="k">def</span> <span class="nf">backward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gradient</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">retain_graph</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">create_graph</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">inputs</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;Computes the gradient of current tensor w.r.t. graph leaves.</span>
 
 <span class="sd">        The graph is differentiated using the chain rule. If the tensor is</span>
@@ -757,7 +757,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
                 <span class="n">retain_graph</span><span class="o">=</span><span class="n">retain_graph</span><span class="p">,</span>
                 <span class="n">create_graph</span><span class="o">=</span><span class="n">create_graph</span><span class="p">,</span>
                 <span class="n">inputs</span><span class="o">=</span><span class="n">inputs</span><span class="p">)</span>
-        <span class="n">torch</span><span class="o">.</span><span class="n">autograd</span><span class="o">.</span><span class="n">backward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gradient</span><span class="p">,</span> <span class="n">retain_graph</span><span class="p">,</span> <span class="n">create_graph</span><span class="p">,</span> <span class="n">inputs</span><span class="o">=</span><span class="n">inputs</span><span class="p">)</span>
+        <span class="n">torch</span><span class="o">.</span><span class="n">autograd</span><span class="o">.</span><span class="n">backward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gradient</span><span class="p">,</span> <span class="n">retain_graph</span><span class="p">,</span> <span class="n">create_graph</span><span class="p">,</span> <span class="n">inputs</span><span class="o">=</span><span class="n">inputs</span><span class="p">)</span></div>
 
     <span class="k">def</span> <span class="nf">register_hook</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hook</span><span class="p">):</span>
         <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Registers a backward hook.</span>

docs/master/_modules/torch/_tensor.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git785b690 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitfca8a0a ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_tensor_str.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git785b690 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitfca8a0a ) &#x25BC</a>
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docs/master/_modules/torch/_vmap_internals.html

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     <div class="version">
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+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitfca8a0a ) &#x25BC</a>
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docs/master/_modules/torch/ao/ns/_numeric_suite.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
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docs/master/_modules/torch/ao/ns/_numeric_suite_fx.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
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docs/master/_modules/torch/ao/ns/fx/utils.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
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+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitfca8a0a ) &#x25BC</a>
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docs/master/_modules/torch/ao/quantization/fake_quantize.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git785b690 ) &#x25BC</a>
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docs/master/_modules/torch/ao/quantization/fuse_modules.html

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     <div class="version">
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docs/master/_modules/torch/ao/quantization/observer.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
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@@ -445,7 +445,7 @@ <h1>Source code for torch.ao.quantization.qconfig</h1><div class="highlight"><pr
 <span class="kn">import</span> <span class="nn">warnings</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="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>
@@ -469,7 +469,7 @@ <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></div>
+        <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">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>