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+125df29 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+34f3207 &#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+125df29 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+34f3207 &#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+125df29 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+34f3207 &#x25BC</a>
                 </div>
 
 
@@ -669,14 +669,16 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
     <span class="n">_C</span><span class="o">.</span><span class="n">_set_default_dtype</span><span class="p">(</span><span class="n">d</span><span class="p">)</span></div>
 
 <div class="viewcode-block" id="set_deterministic"><a class="viewcode-back" href="../generated/torch.set_deterministic.html#torch.set_deterministic">[docs]</a><span class="k">def</span> <span class="nf">set_deterministic</span><span class="p">(</span><span class="n">d</span><span class="p">):</span>
-    <span class="sa">r</span><span class="sd">&quot;&quot;&quot; Sets whether native PyTorch operations must use deterministic</span>
-<span class="sd">    algorithms. When True, operations without deterministic algorithms</span>
-<span class="sd">    will throw a :class:RuntimeError when called.</span>
+    <span class="sa">r</span><span class="sd">&quot;&quot;&quot; Sets whether PyTorch operations must use &quot;deterministic&quot;</span>
+<span class="sd">    algorithms. That is, algorithms which, given the same input, and when</span>
+<span class="sd">    run on the same software and hardware, always produce the same output.</span>
+<span class="sd">    When True, operations will use deterministic algorithms when available,</span>
+<span class="sd">    and if only nondeterministic algorithms are available they will throw a</span>
+<span class="sd">    :class:RuntimeError when called.</span>
 
 <span class="sd">    .. warning::</span>
-<span class="sd">        This feature is a beta feature, so it does not affect every</span>
-<span class="sd">        nondeterministic operation yet. The following operations are</span>
-<span class="sd">        affected by this flag.</span>
+<span class="sd">        This feature is in beta, and its design and implementation may change</span>
+<span class="sd">        in the future.</span>
 
 <span class="sd">    The following normally-nondeterministic operations will act</span>
 <span class="sd">    deterministically when `d=True`:</span>
@@ -895,6 +897,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="kn">import</span> <span class="nn">torch.nn.intrinsic</span>
 <span class="kn">import</span> <span class="nn">torch.nn.quantized</span>
 <span class="kn">import</span> <span class="nn">torch.optim</span>
+<span class="kn">import</span> <span class="nn">torch.optim._multi_tensor</span>
 <span class="kn">import</span> <span class="nn">torch.multiprocessing</span>
 <span class="kn">import</span> <span class="nn">torch.sparse</span>
 <span class="kn">import</span> <span class="nn">torch.utils.backcompat</span>

docs/master/_modules/torch/__config__.html

@@ -158,7 +158,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+125df29 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+34f3207 &#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+125df29 &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+34f3207 &#x25BC</a>
                 </div>
 
 
@@ -735,6 +735,15 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
 <span class="sd">            # exception raised</span>
 <span class="sd">            m(torch.rand(100))</span>
 <span class="sd">    &quot;&quot;&quot;</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">fn</span><span class="p">,</span> <span class="nb">property</span><span class="p">):</span>
+        <span class="n">prop</span> <span class="o">=</span> <span class="n">fn</span>
+        <span class="nb">setattr</span><span class="p">(</span><span class="n">prop</span><span class="o">.</span><span class="n">fget</span><span class="p">,</span> <span class="s2">&quot;_torchscript_modifier&quot;</span><span class="p">,</span> <span class="n">FunctionModifiers</span><span class="o">.</span><span class="n">UNUSED</span><span class="p">)</span>  <span class="c1"># noqa: B010</span>
+
+        <span class="k">if</span> <span class="n">prop</span><span class="o">.</span><span class="n">fset</span><span class="p">:</span>
+            <span class="nb">setattr</span><span class="p">(</span><span class="n">prop</span><span class="o">.</span><span class="n">fset</span><span class="p">,</span> <span class="s2">&quot;_torchscript_modifier&quot;</span><span class="p">,</span> <span class="n">FunctionModifiers</span><span class="o">.</span><span class="n">UNUSED</span><span class="p">)</span>  <span class="c1"># noqa: B010</span>
+
+        <span class="k">return</span> <span class="n">prop</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">UNUSED</span>
     <span class="k">return</span> <span class="n">fn</span>