Generate Python docs from pytorch/pytorch@6a2624f

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+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#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+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#x25BC</a>
     </div>
 
 
@@ -551,6 +551,7 @@ <h1>All modules for which code is available</h1>
 <li><a href="torch/jit.html">torch.jit</a></li>
 <ul><li><a href="torch/jit/_async.html">torch.jit._async</a></li>
 <li><a href="torch/jit/_freeze.html">torch.jit._freeze</a></li>
+<li><a href="torch/jit/_fuser.html">torch.jit._fuser</a></li>
 <li><a href="torch/jit/_script.html">torch.jit._script</a></li>
 <li><a href="torch/jit/_serialization.html">torch.jit._serialization</a></li>
 <li><a href="torch/jit/_trace.html">torch.jit._trace</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 (1.12.0a0+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#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+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#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+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#x25BC</a>
     </div>
 
 
@@ -1387,7 +1387,7 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
 
 
 <span class="c1"># Retrieves a fully-qualified name (module hierarchy + classname) for a given obj.</span>
-<span class="k">def</span> <span class="nf">_qualified_name</span><span class="p">(</span><span class="n">obj</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">str</span><span class="p">:</span>
+<span class="k">def</span> <span class="nf">_qualified_name</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">mangle_name</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">str</span><span class="p">:</span>
     <span class="c1"># This special case allows us to override the qualified name on a type.</span>
     <span class="c1"># It&#39;s currently used in conjunction with tracing, where we create a</span>
     <span class="c1"># fake module to filter only supported attributes. However, since this</span>
@@ -1436,13 +1436,16 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
         <span class="n">module_name</span> <span class="o">=</span> <span class="n">module_name</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">&quot;&lt;&quot;</span><span class="p">,</span> <span class="s2">&quot;_&quot;</span><span class="p">)</span>
         <span class="n">module_name</span> <span class="o">=</span> <span class="n">module_name</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">&quot;&gt;&quot;</span><span class="p">,</span> <span class="s2">&quot;_&quot;</span><span class="p">)</span>
 
-    <span class="c1"># __main__ is a builtin module, so rewrite it to &quot;__torch__&quot;.</span>
-    <span class="k">if</span> <span class="n">module_name</span> <span class="o">==</span> <span class="s2">&quot;__main__&quot;</span><span class="p">:</span>
-        <span class="n">module_name</span> <span class="o">=</span> <span class="s2">&quot;__torch__&quot;</span>
-    <span class="k">else</span><span class="p">:</span>
-        <span class="c1"># Everything else gets a &quot;__torch__&quot; prefix to avoid name collisions</span>
-        <span class="c1"># with the names of user values.</span>
-        <span class="n">module_name</span> <span class="o">=</span> <span class="s2">&quot;__torch__.&quot;</span> <span class="o">+</span> <span class="n">module_name</span>
+    <span class="c1"># The PythonExceptionValue C++ class in torch/csrc/jit/python/python_sugared_value.h</span>
+    <span class="c1"># does not need mangle the python class name.</span>
+    <span class="k">if</span> <span class="n">mangle_name</span><span class="p">:</span>
+        <span class="c1"># __main__ is a builtin module, so rewrite it to &quot;__torch__&quot;.</span>
+        <span class="k">if</span> <span class="n">module_name</span> <span class="o">==</span> <span class="s2">&quot;__main__&quot;</span><span class="p">:</span>
+            <span class="n">module_name</span> <span class="o">=</span> <span class="s2">&quot;__torch__&quot;</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="c1"># Everything else gets a &quot;__torch__&quot; prefix to avoid name collisions</span>
+            <span class="c1"># with the names of user values.</span>
+            <span class="n">module_name</span> <span class="o">=</span> <span class="s2">&quot;__torch__.&quot;</span> <span class="o">+</span> <span class="n">module_name</span>
 
     <span class="k">if</span> <span class="s2">&quot;.&quot;</span> <span class="ow">in</span> <span class="n">name</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;Could not get qualified name for class &#39;</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s2">&#39;: &quot;</span>

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+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#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 (1.12.0a0+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#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 (1.12.0a0+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#x25BC</a>
     </div>
 
 
@@ -714,7 +714,7 @@ <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>
@@ -770,7 +770,7 @@ <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>
@@ -907,7 +907,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
             <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>
 
-<div class="viewcode-block" id="Tensor.lu"><a class="viewcode-back" href="../../generated/torch.Tensor.lu.html#torch.Tensor.lu">[docs]</a>    <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="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>
         <span class="c1"># If get_infos is True, then we don&#39;t need to check for errors and vice versa</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>
@@ -917,7 +917,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
         <span class="k">if</span> <span class="n">get_infos</span><span class="p">:</span>
             <span class="k">return</span> <span class="n">LU</span><span class="p">,</span> <span class="n">pivots</span><span class="p">,</span> <span class="n">infos</span>
         <span class="k">else</span><span class="p">:</span>
-            <span class="k">return</span> <span class="n">LU</span><span class="p">,</span> <span class="n">pivots</span></div>
+            <span class="k">return</span> <span class="n">LU</span><span class="p">,</span> <span class="n">pivots</span>
 
     <span class="k">def</span> <span class="nf">stft</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_fft</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">hop_length</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">win_length</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">window</span><span class="p">:</span> <span class="s1">&#39;Optional[Tensor]&#39;</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</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 (1.12.0a0+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_tensor_str.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+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_vmap_internals.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+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/ao/ns/_numeric_suite.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+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/ao/ns/_numeric_suite_fx.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+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/ao/ns/fx/utils.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+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/ao/quantization/fake_quantize.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+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/ao/quantization/fuse_modules.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+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#x25BC</a>
     </div>
 
 
@@ -605,6 +605,7 @@ <h1>Source code for torch.ao.quantization.observer</h1><div class="highlight"><p
             <span class="n">torch</span><span class="o">.</span><span class="n">qint8</span><span class="p">,</span>
             <span class="n">torch</span><span class="o">.</span><span class="n">quint8</span><span class="p">,</span>
             <span class="n">torch</span><span class="o">.</span><span class="n">quint4x2</span><span class="p">,</span>
+            <span class="n">torch</span><span class="o">.</span><span class="n">qint32</span><span class="p">,</span>
         <span class="p">),</span> <span class="s2">&quot;Default Observer only works for qint8, quint8 and quint4x2 data type&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">has_customized_qrange</span> <span class="o">=</span> <span class="p">(</span><span class="n">quant_min</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">)</span> <span class="ow">and</span> <span class="p">(</span><span class="n">quant_max</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">)</span>
         <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">has_customized_qrange</span><span class="p">:</span>

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 (1.12.0a0+git08889b2 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git6a2624f ) &#x25BC</a>
     </div>