Generate Python docs from pytorch/pytorch@51ae9cc

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+gitef501e8 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git51ae9cc ) &#x25BC</a>
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docs/master/_images/RReLU.png

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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+git51ae9cc ) &#x25BC</a>
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@@ -551,7 +551,8 @@ <h1>All modules for which code is available</h1>
 <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>
-</ul><li><a href="torch/multiprocessing.html">torch.multiprocessing</a></li>
+</ul><li><a href="torch/monitor.html">torch.monitor</a></li>
+<li><a href="torch/multiprocessing.html">torch.multiprocessing</a></li>
 <ul><li><a href="torch/multiprocessing/spawn.html">torch.multiprocessing.spawn</a></li>
 </ul><li><a href="torch/nn/functional.html">torch.nn.functional</a></li>
 <li><a href="torch/nn/init.html">torch.nn.init</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 (1.11.0a0+git51ae9cc ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch.html

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+gitef501e8 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git51ae9cc ) &#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+gitef501e8 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git51ae9cc ) &#x25BC</a>
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docs/master/_modules/torch/_jit_internal.html

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     <div class="version">
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+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git51ae9cc ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_lobpcg.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+gitef501e8 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git51ae9cc ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_lowrank.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+gitef501e8 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git51ae9cc ) &#x25BC</a>
     </div>
 
 

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+gitef501e8 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git51ae9cc ) &#x25BC</a>
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@@ -727,6 +727,12 @@ <h1>Source code for torch._tensor_str</h1><div class="highlight"><pre>
             <span class="ow">or</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="o">.</span><span class="n">type</span> <span class="o">==</span> <span class="s1">&#39;cuda&#39;</span> <span class="ow">and</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">current_device</span><span class="p">()</span> <span class="o">!=</span> <span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="o">.</span><span class="n">index</span><span class="p">):</span>
         <span class="n">suffixes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s1">&#39;device=</span><span class="se">\&#39;</span><span class="s1">&#39;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span> <span class="o">+</span> <span class="s1">&#39;</span><span class="se">\&#39;</span><span class="s1">&#39;</span><span class="p">)</span>
 
+    <span class="c1"># Tensor printing performs tensor operations like slice, indexing, etc to make it in a</span>
+    <span class="c1"># representable format. These operations on xla/lazy tensor results in compilations. Hence,</span>
+    <span class="c1"># to avoid compilations, copying the tensor to cpu before printing.</span>
+    <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="o">.</span><span class="n">type</span> <span class="o">==</span> <span class="s1">&#39;xla&#39;</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="o">.</span><span class="n">type</span> <span class="o">==</span> <span class="s1">&#39;lazy&#39;</span><span class="p">:</span>
+        <span class="bp">self</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cpu&#39;</span><span class="p">)</span>
+
     <span class="c1"># TODO: add an API to map real -&gt; complex dtypes</span>
     <span class="n">_default_complex_dtype</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">cdouble</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">get_default_dtype</span><span class="p">()</span> <span class="o">==</span> <span class="n">torch</span><span class="o">.</span><span class="n">double</span> <span class="k">else</span> <span class="n">torch</span><span class="o">.</span><span class="n">cfloat</span>
     <span class="n">has_default_dtype</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dtype</span> <span class="ow">in</span> <span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">get_default_dtype</span><span class="p">(),</span> <span class="n">_default_complex_dtype</span><span class="p">,</span> <span class="n">torch</span><span class="o">.</span><span class="n">int64</span><span class="p">,</span> <span class="n">torch</span><span class="o">.</span><span class="n">bool</span><span class="p">)</span>

docs/master/_modules/torch/_tensor_str.html

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     <div class="version">
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+      <a href='https://pytorch.org/docs/versions.html'>master (1.11.0a0+git51ae9cc ) &#x25BC</a>
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docs/master/_modules/torch/_vmap_internals.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.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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