Generate Python docs from pytorch/pytorch@273fb34

Author: pytorchbot

docs/master/__config__.html

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docs/master/_modules/torch.html

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docs/master/_modules/torch/__config__.html

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docs/master/_modules/torch/_jit_internal.html

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docs/master/_modules/torch/_lowrank.html

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

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     <div class="version">
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@@ -651,7 +651,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
                 <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="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>
+<div class="viewcode-block" id="Tensor.register_hook"><a class="viewcode-back" href="../../generated/torch.Tensor.register_hook.html#torch.Tensor.register_hook">[docs]</a>    <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>
 
 <span class="sd">        The hook will be called every time a gradient with respect to the</span>
@@ -691,7 +691,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
                 <span class="bp">self</span><span class="o">.</span><span class="n">grad_fn</span><span class="o">.</span><span class="n">_register_hook_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
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-        <span class="k">return</span> <span class="n">handle</span>
+        <span class="k">return</span> <span class="n">handle</span></div>
 
     <span class="k">def</span> <span class="nf">reinforce</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">reward</span><span class="p">):</span>
         <span class="k">def</span> <span class="nf">trim</span><span class="p">(</span><span class="nb">str</span><span class="p">):</span>

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/autograd.html

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@@ -817,10 +817,10 @@ <h1>Source code for torch.cuda</h1><div class="highlight"><pre>
 
 
 
-<span class="k">def</span> <span class="nf">current_device</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span><span class="p">:</span>
+<div class="viewcode-block" id="current_device"><a class="viewcode-back" href="../../generated/torch.cuda.current_device.html#torch.cuda.current_device">[docs]</a><span class="k">def</span> <span class="nf">current_device</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span><span class="p">:</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Returns the index of a currently selected device.&quot;&quot;&quot;</span>
     <span class="n">_lazy_init</span><span class="p">()</span>
-    <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_cuda_getDevice</span><span class="p">()</span>
+    <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_cuda_getDevice</span><span class="p">()</span></div>
 
 
 <div class="viewcode-block" id="synchronize"><a class="viewcode-back" href="../../generated/torch.cuda.synchronize.html#torch.cuda.synchronize">[docs]</a><span class="k">def</span> <span class="nf">synchronize</span><span class="p">(</span><span class="n">device</span><span class="p">:</span> <span class="n">_device_t</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
@@ -849,7 +849,7 @@ <h1>Source code for torch.cuda</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_cuda_ipc_collect</span><span class="p">()</span></div>
 
 
-<span class="k">def</span> <span class="nf">current_stream</span><span class="p">(</span><span class="n">device</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">_device_t</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Stream</span><span class="p">:</span>
+<div class="viewcode-block" id="current_stream"><a class="viewcode-back" href="../../generated/torch.cuda.current_stream.html#torch.cuda.current_stream">[docs]</a><span class="k">def</span> <span class="nf">current_stream</span><span class="p">(</span><span class="n">device</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">_device_t</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Stream</span><span class="p">:</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Returns the currently selected :class:`Stream` for a given device.</span>
 
 <span class="sd">    Args:</span>
@@ -860,7 +860,7 @@ <h1>Source code for torch.cuda</h1><div class="highlight"><pre>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="n">_lazy_init</span><span class="p">()</span>
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+        <span class="n">_get_device_index</span><span class="p">(</span><span class="n">device</span><span class="p">,</span> <span class="n">optional</span><span class="o">=</span><span class="kc">True</span><span class="p">)))</span></div>
 
 
 <div class="viewcode-block" id="default_stream"><a class="viewcode-back" href="../../generated/torch.cuda.default_stream.html#torch.cuda.default_stream">[docs]</a><span class="k">def</span> <span class="nf">default_stream</span><span class="p">(</span><span class="n">device</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">_device_t</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Stream</span><span class="p">:</span>

docs/master/_modules/torch/cuda/amp/autocast_mode.html

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docs/master/_modules/torch/distributed/elastic/agent/server/local_elastic_agent.html

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