Generate Python docs from pytorch/pytorch@aa5dab0

Author: pytorchbot

docs/master/__config__.html

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitcf70466 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitaa5dab0 ) &#x25BC</a>
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docs/master/_images/RReLU.png

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-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitcf70466 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitaa5dab0 ) &#x25BC</a>
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docs/master/_modules/index.html

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitcf70466 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitaa5dab0 ) &#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+gitcf70466 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitaa5dab0 ) &#x25BC</a>
     </div>
 
 

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+gitcf70466 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitaa5dab0 ) &#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+gitcf70466 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitaa5dab0 ) &#x25BC</a>
     </div>
 
 

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+gitcf70466 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitaa5dab0 ) &#x25BC</a>
     </div>
 
 

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+gitcf70466 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitaa5dab0 ) &#x25BC</a>
     </div>
 
 
@@ -889,11 +889,11 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
         <span class="k">else</span><span class="p">:</span>
             <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">flip</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
 
-<div class="viewcode-block" id="Tensor.norm"><a class="viewcode-back" href="../../generated/torch.Tensor.norm.html#torch.Tensor.norm">[docs]</a>    <span class="k">def</span> <span class="nf">norm</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">p</span><span class="o">=</span><span class="s2">&quot;fro&quot;</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="n">keepdim</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+    <span class="k">def</span> <span class="nf">norm</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">p</span><span class="o">=</span><span class="s2">&quot;fro&quot;</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="n">keepdim</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">dtype</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;See :func:`torch.norm`&quot;&quot;&quot;</span>
         <span class="k">if</span> <span class="n">has_torch_function_unary</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
             <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">norm</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">p</span><span class="o">=</span><span class="n">p</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="n">keepdim</span><span class="o">=</span><span class="n">keepdim</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">dtype</span><span class="p">)</span>
-        <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">p</span><span class="p">,</span> <span class="n">dim</span><span class="p">,</span> <span class="n">keepdim</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">dtype</span><span class="p">)</span></div>
+        <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">p</span><span class="p">,</span> <span class="n">dim</span><span class="p">,</span> <span class="n">keepdim</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">dtype</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">lu</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pivot</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">get_infos</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
         <span class="sa">r</span><span class="sd">&quot;&quot;&quot;See :func:`torch.lu`&quot;&quot;&quot;</span>
@@ -1222,7 +1222,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="nb">dict</span><span class="p">(</span><span class="n">typestr</span><span class="o">=</span><span class="n">typestr</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="n">shape</span><span class="p">,</span> <span class="n">strides</span><span class="o">=</span><span class="n">strides</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">version</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
 
-<div class="viewcode-block" id="Tensor.storage_type"><a class="viewcode-back" href="../../generated/torch.Tensor.storage_type.html#torch.Tensor.storage_type">[docs]</a>    <span class="k">def</span> <span class="nf">storage_type</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+    <span class="k">def</span> <span class="nf">storage_type</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="sa">r</span><span class="sd">&quot;&quot;&quot;storage_type() -&gt; type</span>
 
 <span class="sd">        Returns the type of the underlying storage.</span>
@@ -1231,7 +1231,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
         <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="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></div>
+        <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>
         <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Refines the dimension names of :attr:`self` according to :attr:`names`.</span>

docs/master/_modules/torch/_tensor.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+gitcf70466 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitaa5dab0 ) &#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+gitcf70466 ) &#x25BC</a>
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docs/master/_modules/torch/_vmap_internals.html

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     <div class="version">
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docs/master/_modules/torch/ao/ns/_numeric_suite.html

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     <div class="version">
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docs/master/_modules/torch/ao/ns/_numeric_suite_fx.html

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

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitcf70466 ) &#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

@@ -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+gitcf70466 ) &#x25BC</a>
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@@ -446,7 +446,7 @@ <h1>Source code for torch.ao.quantization.qconfig</h1><div class="highlight"><pr
 <span class="kn">import</span> <span class="nn">warnings</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>
@@ -470,7 +470,7 @@ <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="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>