auto-generating sphinx docs

Author: pytorchbot

docs/master/__config__.html

@@ -159,7 +159,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/index.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/__config__.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/_jit_internal.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/_lobpcg.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/_lowrank.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/_tensor_str.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/_utils.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/_vmap_internals.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/autograd.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/autograd/anomaly_mode.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/autograd/function.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/autograd/functional.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/autograd/grad_mode.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 
@@ -369,7 +369,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
 
         <span class="nd">@functools</span><span class="o">.</span><span class="n">wraps</span><span class="p">(</span><span class="n">func</span><span class="p">)</span>
         <span class="k">def</span> <span class="nf">decorate_context</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
-            <span class="k">with</span> <span class="bp">self</span><span class="p">:</span>
+            <span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="p">():</span>
                 <span class="k">return</span> <span class="n">func</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
         <span class="k">return</span> <span class="n">cast</span><span class="p">(</span><span class="n">F</span><span class="p">,</span> <span class="n">decorate_context</span><span class="p">)</span>
 
@@ -380,7 +380,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
             <span class="n">gen</span> <span class="o">=</span> <span class="n">func</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
             <span class="k">while</span> <span class="kc">True</span><span class="p">:</span>
                 <span class="k">try</span><span class="p">:</span>
-                    <span class="k">with</span> <span class="bp">self</span><span class="p">:</span>
+                    <span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="p">():</span>
                         <span class="n">x</span> <span class="o">=</span> <span class="nb">next</span><span class="p">(</span><span class="n">gen</span><span class="p">)</span>
                     <span class="k">yield</span> <span class="n">x</span>
                 <span class="k">except</span> <span class="ne">StopIteration</span><span class="p">:</span>
@@ -394,7 +394,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
         <span class="k">raise</span> <span class="ne">NotImplementedError</span>
 
 
-<span class="k">class</span> <span class="nc">no_grad</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
+<div class="viewcode-block" id="no_grad"><a class="viewcode-back" href="../../../autograd.html#torch.autograd.no_grad">[docs]</a><span class="k">class</span> <span class="nc">no_grad</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Context-manager that disabled gradient calculation.</span>
 
 <span class="sd">    Disabling gradient calculation is useful for inference, when you are sure</span>
@@ -434,10 +434,10 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
         <span class="n">torch</span><span class="o">.</span><span class="n">set_grad_enabled</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">traceback</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
-        <span class="n">torch</span><span class="o">.</span><span class="n">set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev</span><span class="p">)</span>
+        <span class="n">torch</span><span class="o">.</span><span class="n">set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="enable_grad"><a class="viewcode-back" href="../../../generated/torch.enable_grad.html#torch.enable_grad">[docs]</a><span class="k">class</span> <span class="nc">enable_grad</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
+<div class="viewcode-block" id="enable_grad"><a class="viewcode-back" href="../../../autograd.html#torch.autograd.enable_grad">[docs]</a><span class="k">class</span> <span class="nc">enable_grad</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Context-manager that enables gradient calculation.</span>
 
 <span class="sd">    Enables gradient calculation, if it has been disabled via :class:`~no_grad`</span>
@@ -476,7 +476,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
         <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev</span><span class="p">)</span></div>
 
 
-<span class="k">class</span> <span class="nc">set_grad_enabled</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+<div class="viewcode-block" id="set_grad_enabled"><a class="viewcode-back" href="../../../autograd.html#torch.autograd.set_grad_enabled">[docs]</a><span class="k">class</span> <span class="nc">set_grad_enabled</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Context-manager that sets gradient calculation to on or off.</span>
 
 <span class="sd">    ``set_grad_enabled`` will enable or disable grads based on its argument :attr:`mode`.</span>
@@ -518,7 +518,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
         <span class="k">pass</span>
 
     <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">traceback</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
-        <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev</span><span class="p">)</span>
+        <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev</span><span class="p">)</span></div>
 </pre></div>
 
              </article>

docs/master/_modules/torch/autograd/gradcheck.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/autograd/profiler.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/backends/cuda.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/backends/cudnn.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/backends/mkl.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/backends/mkldnn.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/backends/openmp.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/cuda.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 
@@ -441,9 +441,8 @@ <h1>Source code for torch.cuda</h1><div class="highlight"><pre>
     <span class="n">supported_sm</span> <span class="o">=</span> <span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">arch</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">)[</span><span class="mi">1</span><span class="p">])</span> <span class="k">for</span> <span class="n">arch</span> <span class="ow">in</span> <span class="n">arch_list</span> <span class="k">if</span> <span class="s1">&#39;sm_&#39;</span> <span class="ow">in</span> <span class="n">arch</span><span class="p">]</span>
     <span class="k">for</span> <span class="n">idx</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">device_count</span><span class="p">()):</span>
         <span class="n">cap_major</span><span class="p">,</span> <span class="n">cap_minor</span> <span class="o">=</span> <span class="n">get_device_capability</span><span class="p">(</span><span class="n">idx</span><span class="p">)</span>
-        <span class="n">capability</span> <span class="o">=</span> <span class="n">cap_major</span> <span class="o">*</span> <span class="mi">10</span> <span class="o">+</span> <span class="n">cap_minor</span>
-        <span class="c1"># NVIDIA GPU compute architectures are backward compatible within 5 minor revisions versions</span>
-        <span class="n">supported</span> <span class="o">=</span> <span class="nb">any</span><span class="p">([</span><span class="n">capability</span> <span class="o">&gt;=</span> <span class="n">sm</span> <span class="ow">and</span> <span class="n">capability</span> <span class="o">-</span> <span class="p">(</span><span class="n">sm</span> <span class="o">//</span> <span class="mi">5</span><span class="p">)</span> <span class="o">*</span> <span class="mi">5</span> <span class="o">&lt;</span> <span class="mi">5</span> <span class="k">for</span> <span class="n">sm</span> <span class="ow">in</span> <span class="n">supported_sm</span><span class="p">])</span>
+        <span class="c1"># NVIDIA GPU compute architectures are backward compatible within major version</span>
+        <span class="n">supported</span> <span class="o">=</span> <span class="nb">any</span><span class="p">([</span><span class="n">sm</span> <span class="o">//</span> <span class="mi">10</span> <span class="o">==</span> <span class="n">cap_major</span> <span class="k">for</span> <span class="n">sm</span> <span class="ow">in</span> <span class="n">supported_sm</span><span class="p">])</span>
         <span class="k">if</span> <span class="ow">not</span> <span class="n">supported</span><span class="p">:</span>
             <span class="n">device_name</span> <span class="o">=</span> <span class="n">get_device_name</span><span class="p">(</span><span class="n">idx</span><span class="p">)</span>
             <span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span><span class="n">incompatible_device_warn</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">device_name</span><span class="p">,</span> <span class="n">capability</span><span class="p">,</span> <span class="s2">&quot; &quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">arch_list</span><span class="p">),</span> <span class="n">device_name</span><span class="p">))</span>

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

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

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

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/cuda/memory.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/cuda/nvtx.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+dd0f841 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+c438a74 &#x25BC</a>
                 </div>