Generate Python docs from pytorch/pytorch@afd0067

Author: pytorchbot

docs/master/_images/RReLU.png

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+      <a href='https://pytorch.org/docs/versions.html'>master (1.14.0a0+gitafd0067 ) &#x25BC</a>
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@@ -553,6 +553,7 @@ <h1>All modules for which code is available</h1>
 <li><a href="torch/distributed/elastic/timer/api.html">torch.distributed.elastic.timer.api</a></li>
 <li><a href="torch/distributed/elastic/timer/file_based_local_timer.html">torch.distributed.elastic.timer.file_based_local_timer</a></li>
 <li><a href="torch/distributed/elastic/timer/local_timer.html">torch.distributed.elastic.timer.local_timer</a></li>
+<li><a href="torch/distributed/fsdp/api.html">torch.distributed.fsdp.api</a></li>
 <li><a href="torch/distributed/fsdp/fully_sharded_data_parallel.html">torch.distributed.fsdp.fully_sharded_data_parallel</a></li>
 <li><a href="torch/distributed/nn/api/remote_module.html">torch.distributed.nn.api.remote_module</a></li>
 <li><a href="torch/distributed/optim/optimizer.html">torch.distributed.optim.optimizer</a></li>

docs/master/_modules/index.html

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@@ -656,16 +656,16 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
         <span class="c1"># class has a field named node that stores SymNode</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">node</span> <span class="o">=</span> <span class="n">node</span>
 
-    <span class="c1"># Magic methods installed later</span>
-
     <span class="k">def</span> <span class="fm">__bool__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">bool_</span><span class="p">()</span>
 
     <span class="k">def</span> <span class="fm">__int__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">int_</span><span class="p">()</span>
 
+    <span class="c1"># Magic methods installed by torch.fx.experimental.symbolic_shapes</span>
+
     <span class="k">def</span> <span class="nf">__sym_float__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="k">return</span> <span class="n">SymFloat</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">sym_float</span><span class="p">())</span>
+        <span class="o">...</span>
 
     <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">str</span><span class="p">()</span>
@@ -688,13 +688,13 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
         <span class="c1"># class has a field named node that stores SymNode</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">node</span> <span class="o">=</span> <span class="n">node</span>
 
-    <span class="c1"># Magic methods installed later</span>
-
     <span class="k">def</span> <span class="fm">__bool__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">bool_</span><span class="p">()</span>
 
+    <span class="c1"># Magic methods installed by torch.fx.experimental.symbolic_shapes</span>
+
     <span class="k">def</span> <span class="nf">__sym_int__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="k">return</span> <span class="n">SymInt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">sym_int</span><span class="p">())</span>
+        <span class="o">...</span>
 
     <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">str</span><span class="p">()</span>

docs/master/_modules/torch.html

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docs/master/_modules/torch/__config__.html

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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/amp/autocast_mode.html

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docs/master/_modules/torch/ao/nn/intrinsic/qat/modules/conv_fused.html

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docs/master/_modules/torch/ao/nn/intrinsic/quantized/modules/bn_relu.html

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docs/master/_modules/torch/ao/nn/intrinsic/quantized/modules/conv_relu.html

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docs/master/_modules/torch/ao/nn/intrinsic/quantized/modules/linear_relu.html

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