Generate Python docs from pytorch/pytorch@3e934d7

Author: pytorchbot

docs/master/__config__.html

@@ -188,7 +188,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+256d46c &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+3e934d7 &#x25BC</a>
                 </div>
 
 
@@ -271,6 +271,7 @@
 <li class="toctree-l1"><a class="reference internal" href="onnx.html">torch.onnx</a></li>
 <li class="toctree-l1"><a class="reference internal" href="optim.html">torch.optim</a></li>
 <li class="toctree-l1"><a class="reference internal" href="complex_numbers.html">Complex Numbers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="ddp_comm_hooks.html">DDP Communication Hooks</a></li>
 <li class="toctree-l1"><a class="reference internal" href="pipeline.html">Pipeline Parallelism</a></li>
 <li class="toctree-l1"><a class="reference internal" href="quantization.html">Quantization</a></li>
 <li class="toctree-l1"><a class="reference internal" href="rpc.html">Distributed RPC Framework</a></li>

docs/master/_modules/index.html

@@ -187,7 +187,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+256d46c &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+3e934d7 &#x25BC</a>
                 </div>
 
 
@@ -270,6 +270,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../onnx.html">torch.onnx</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../optim.html">torch.optim</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../complex_numbers.html">Complex Numbers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../ddp_comm_hooks.html">DDP Communication Hooks</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../pipeline.html">Pipeline Parallelism</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../quantization.html">Quantization</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../rpc.html">Distributed RPC Framework</a></li>
@@ -409,7 +410,9 @@ <h1>All modules for which code is available</h1>
 <li><a href="torch/cuda/random.html">torch.cuda.random</a></li>
 <li><a href="torch/cuda/streams.html">torch.cuda.streams</a></li>
 </ul><li><a href="torch/distributed.html">torch.distributed</a></li>
-<ul><li><a href="torch/distributed/autograd.html">torch.distributed.autograd</a></li>
+<ul><li><a href="torch/distributed/algorithms/ddp_comm_hooks/default_hooks.html">torch.distributed.algorithms.ddp_comm_hooks.default_hooks</a></li>
+<li><a href="torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.html">torch.distributed.algorithms.ddp_comm_hooks.powerSGD_hook</a></li>
+<li><a href="torch/distributed/autograd.html">torch.distributed.autograd</a></li>
 <li><a href="torch/distributed/distributed_c10d.html">torch.distributed.distributed_c10d</a></li>
 <li><a href="torch/distributed/optim/optimizer.html">torch.distributed.optim.optimizer</a></li>
 <li><a href="torch/distributed/pipeline/sync/pipe.html">torch.distributed.pipeline.sync.pipe</a></li>

docs/master/_modules/torch.html

@@ -187,7 +187,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+256d46c &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+3e934d7 &#x25BC</a>
                 </div>
 
 
@@ -270,6 +270,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../onnx.html">torch.onnx</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../optim.html">torch.optim</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../complex_numbers.html">Complex Numbers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../ddp_comm_hooks.html">DDP Communication Hooks</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../pipeline.html">Pipeline Parallelism</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../quantization.html">Quantization</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../rpc.html">Distributed RPC Framework</a></li>

docs/master/_modules/torch/__config__.html

@@ -187,7 +187,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+256d46c &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+3e934d7 &#x25BC</a>
                 </div>
 
 
@@ -270,6 +270,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../onnx.html">torch.onnx</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../optim.html">torch.optim</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../complex_numbers.html">Complex Numbers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../ddp_comm_hooks.html">DDP Communication Hooks</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../pipeline.html">Pipeline Parallelism</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../quantization.html">Quantization</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../rpc.html">Distributed RPC Framework</a></li>

docs/master/_modules/torch/_jit_internal.html

@@ -187,7 +187,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+256d46c &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+3e934d7 &#x25BC</a>
                 </div>
 
 
@@ -270,6 +270,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../onnx.html">torch.onnx</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../optim.html">torch.optim</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../complex_numbers.html">Complex Numbers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../ddp_comm_hooks.html">DDP Communication Hooks</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../pipeline.html">Pipeline Parallelism</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../quantization.html">Quantization</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../rpc.html">Distributed RPC Framework</a></li>
@@ -880,7 +881,7 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
     <span class="n">fn</span><span class="o">.</span><span class="n">_torchscript_modifier</span> <span class="o">=</span> <span class="n">FunctionModifiers</span><span class="o">.</span><span class="n">UNUSED</span>
     <span class="k">return</span> <span class="n">fn</span>
 
-<div class="viewcode-block" id="ignore"><a class="viewcode-back" href="../../generated/torch.jit.ignore.html#torch.jit.ignore">[docs]</a><span class="k">def</span> <span class="nf">ignore</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">ignore</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
     <span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    This decorator indicates to the compiler that a function or method should</span>
 <span class="sd">    be ignored and left as a Python function. This allows you to leave code in</span>
@@ -971,7 +972,7 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
         <span class="k">else</span><span class="p">:</span>
             <span class="n">fn</span><span class="o">.</span><span class="n">_torchscript_modifier</span> <span class="o">=</span> <span class="n">FunctionModifiers</span><span class="o">.</span><span class="n">IGNORE</span>
         <span class="k">return</span> <span class="n">fn</span>
-    <span class="k">return</span> <span class="n">decorator</span></div>
+    <span class="k">return</span> <span class="n">decorator</span>
 
 
 <span class="k">def</span> <span class="nf">_copy_to_script_wrapper</span><span class="p">(</span><span class="n">fn</span><span class="p">):</span>

docs/master/_modules/torch/_lobpcg.html

@@ -187,7 +187,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+256d46c &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+3e934d7 &#x25BC</a>
                 </div>
 
 
@@ -270,6 +270,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../onnx.html">torch.onnx</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../optim.html">torch.optim</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../complex_numbers.html">Complex Numbers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../ddp_comm_hooks.html">DDP Communication Hooks</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../pipeline.html">Pipeline Parallelism</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../quantization.html">Quantization</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../rpc.html">Distributed RPC Framework</a></li>

docs/master/_modules/torch/_lowrank.html

@@ -187,7 +187,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+256d46c &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+3e934d7 &#x25BC</a>
                 </div>
 
 
@@ -270,6 +270,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../onnx.html">torch.onnx</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../optim.html">torch.optim</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../complex_numbers.html">Complex Numbers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../ddp_comm_hooks.html">DDP Communication Hooks</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../pipeline.html">Pipeline Parallelism</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../quantization.html">Quantization</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../rpc.html">Distributed RPC Framework</a></li>

docs/master/_modules/torch/_tensor_str.html

@@ -187,7 +187,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+256d46c &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+3e934d7 &#x25BC</a>
                 </div>
 
 
@@ -270,6 +270,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../onnx.html">torch.onnx</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../optim.html">torch.optim</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../complex_numbers.html">Complex Numbers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../ddp_comm_hooks.html">DDP Communication Hooks</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../pipeline.html">Pipeline Parallelism</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../quantization.html">Quantization</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../rpc.html">Distributed RPC Framework</a></li>

docs/master/_modules/torch/_utils.html

@@ -187,7 +187,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+256d46c &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+3e934d7 &#x25BC</a>
                 </div>
 
 
@@ -270,6 +270,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../onnx.html">torch.onnx</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../optim.html">torch.optim</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../complex_numbers.html">Complex Numbers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../ddp_comm_hooks.html">DDP Communication Hooks</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../pipeline.html">Pipeline Parallelism</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../quantization.html">Quantization</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../rpc.html">Distributed RPC Framework</a></li>

docs/master/_modules/torch/_vmap_internals.html

@@ -187,7 +187,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+256d46c &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.8.0a0+3e934d7 &#x25BC</a>
                 </div>
 
 
@@ -270,6 +270,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../onnx.html">torch.onnx</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../optim.html">torch.optim</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../complex_numbers.html">Complex Numbers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../ddp_comm_hooks.html">DDP Communication Hooks</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../pipeline.html">Pipeline Parallelism</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../quantization.html">Quantization</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../rpc.html">Distributed RPC Framework</a></li>