Generate Python docs from pytorch/pytorch@ca3b2bf

Author: pytorchbot

docs/master/_images/RReLU.png

@@ -219,7 +219,7 @@
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     <div class="version">
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+      <a href='https://pytorch.org/docs/versions.html'>master (1.13.0a0+gitca3b2bf ) &#x25BC</a>
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@@ -464,10 +464,13 @@ <h1>All modules for which code is available</h1>
 <li><a href="torch/ao/ns/_numeric_suite.html">torch.ao.ns._numeric_suite</a></li>
 <li><a href="torch/ao/ns/_numeric_suite_fx.html">torch.ao.ns._numeric_suite_fx</a></li>
 <li><a href="torch/ao/ns/fx/utils.html">torch.ao.ns.fx.utils</a></li>
+<li><a href="torch/ao/quantization/backend_config/backend_config.html">torch.ao.quantization.backend_config.backend_config</a></li>
 <li><a href="torch/ao/quantization/fake_quantize.html">torch.ao.quantization.fake_quantize</a></li>
 <li><a href="torch/ao/quantization/fuse_modules.html">torch.ao.quantization.fuse_modules</a></li>
+<li><a href="torch/ao/quantization/fx/custom_config.html">torch.ao.quantization.fx.custom_config</a></li>
 <li><a href="torch/ao/quantization/observer.html">torch.ao.quantization.observer</a></li>
 <li><a href="torch/ao/quantization/qconfig.html">torch.ao.quantization.qconfig</a></li>
+<li><a href="torch/ao/quantization/qconfig_mapping.html">torch.ao.quantization.qconfig_mapping</a></li>
 <li><a href="torch/ao/quantization/quantize.html">torch.ao.quantization.quantize</a></li>
 <li><a href="torch/ao/quantization/quantize_fx.html">torch.ao.quantization.quantize_fx</a></li>
 <li><a href="torch/ao/quantization/stubs.html">torch.ao.quantization.stubs</a></li>
@@ -488,7 +491,8 @@ <h1>All modules for which code is available</h1>
 <li><a href="torch/backends/openmp.html">torch.backends.openmp</a></li>
 <li><a href="torch/cpu/amp/autocast_mode.html">torch.cpu.amp.autocast_mode</a></li>
 <li><a href="torch/cuda.html">torch.cuda</a></li>
-<ul><li><a href="torch/cuda/amp/autocast_mode.html">torch.cuda.amp.autocast_mode</a></li>
+<ul><li><a href="torch/cuda/_sanitizer.html">torch.cuda._sanitizer</a></li>
+<li><a href="torch/cuda/amp/autocast_mode.html">torch.cuda.amp.autocast_mode</a></li>
 <li><a href="torch/cuda/amp/grad_scaler.html">torch.cuda.amp.grad_scaler</a></li>
 <li><a href="torch/cuda/graphs.html">torch.cuda.graphs</a></li>
 <li><a href="torch/cuda/jiterator.html">torch.cuda.jiterator</a></li>

docs/master/_modules/index.html

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     <div class="version">
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+      <a href='https://pytorch.org/docs/versions.html'>master (1.13.0a0+gitca3b2bf ) &#x25BC</a>
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@@ -1358,7 +1358,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">_masked</span>
 
 <span class="c1"># Import removed ops with error message about removal</span>
-<span class="kn">from</span> <span class="nn">._linalg_utils</span> <span class="kn">import</span> <span class="n">solve</span>
+<span class="kn">from</span> <span class="nn">._linalg_utils</span> <span class="kn">import</span> <span class="n">eig</span><span class="p">,</span> <span class="n">solve</span>
 
 
 <span class="k">def</span> <span class="nf">_register_device_module</span><span class="p">(</span><span class="n">device_type</span><span class="p">,</span> <span class="n">module</span><span class="p">):</span>

docs/master/_modules/torch.html

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     <div class="version">
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+      <a href='https://pytorch.org/docs/versions.html'>master (1.13.0a0+gitca3b2bf ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/__config__.html

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     <div class="version">
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docs/master/_modules/torch/_jit_internal.html

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docs/master/_modules/torch/_lobpcg.html

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     <div class="version">
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docs/master/_modules/torch/_lowrank.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
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@@ -1069,6 +1069,11 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
 
         <span class="k">return</span> <span class="n">solve</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">)</span>
 
+    <span class="k">def</span> <span class="nf">eig</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">eigenvectors</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+        <span class="kn">from</span> <span class="nn">._linalg_utils</span> <span class="kn">import</span> <span class="n">eig</span>
+
+        <span class="k">return</span> <span class="n">eig</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">eigenvectors</span><span class="o">=</span><span class="n">eigenvectors</span><span class="p">)</span>
+
 <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="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>

docs/master/_modules/torch/_tensor.html

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docs/master/_modules/torch/_tensor_str.html

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docs/master/_modules/torch/_utils.html

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docs/master/_modules/torch/_vmap_internals.html

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docs/master/_modules/torch/ao/nn/qat/dynamic/modules/linear.html

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docs/master/_modules/torch/ao/nn/qat/modules/conv.html

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     <div class="version">
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docs/master/_modules/torch/ao/nn/quantizable/modules/rnn.html

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