Generate Python docs from pytorch/pytorch@edc5fdf

Author: pytorchbot

docs/master/__config__.html

@@ -189,7 +189,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+8b997aa &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+edc5fdf &#x25BC</a>
                 </div>
 
 

docs/master/_modules/index.html

@@ -188,7 +188,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+8b997aa &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+edc5fdf &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch.html

@@ -188,7 +188,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+8b997aa &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+edc5fdf &#x25BC</a>
                 </div>
 
 
@@ -805,11 +805,11 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 
     <span class="n">use_deterministic_algorithms</span><span class="p">(</span><span class="n">d</span><span class="p">)</span>
 
-<span class="k">def</span> <span class="nf">are_deterministic_algorithms_enabled</span><span class="p">():</span>
+<div class="viewcode-block" id="are_deterministic_algorithms_enabled"><a class="viewcode-back" href="../generated/torch.are_deterministic_algorithms_enabled.html#torch.are_deterministic_algorithms_enabled">[docs]</a><span class="k">def</span> <span class="nf">are_deterministic_algorithms_enabled</span><span class="p">():</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Returns True if the global deterministic flag is turned on. Refer to</span>
 <span class="sd">    :func:`torch.use_deterministic_algorithms` documentation for more details.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
-    <span class="k">return</span> <span class="n">_C</span><span class="o">.</span><span class="n">_get_deterministic_algorithms</span><span class="p">()</span>
+    <span class="k">return</span> <span class="n">_C</span><span class="o">.</span><span class="n">_get_deterministic_algorithms</span><span class="p">()</span></div>
 
 <span class="k">def</span> <span class="nf">is_deterministic</span><span class="p">():</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;This function is deprecated and will be removed in a future release.</span>
@@ -1035,9 +1035,9 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="k">del</span> <span class="n">_torch_docs</span><span class="p">,</span> <span class="n">_tensor_docs</span><span class="p">,</span> <span class="n">_storage_docs</span>
 
 
-<div class="viewcode-block" id="compiled_with_cxx11_abi"><a class="viewcode-back" href="../generated/torch.compiled_with_cxx11_abi.html#torch.compiled_with_cxx11_abi">[docs]</a><span class="k">def</span> <span class="nf">compiled_with_cxx11_abi</span><span class="p">():</span>
+<span class="k">def</span> <span class="nf">compiled_with_cxx11_abi</span><span class="p">():</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Returns whether PyTorch was built with _GLIBCXX_USE_CXX11_ABI=1&quot;&quot;&quot;</span>
-    <span class="k">return</span> <span class="n">_C</span><span class="o">.</span><span class="n">_GLIBCXX_USE_CXX11_ABI</span></div>
+    <span class="k">return</span> <span class="n">_C</span><span class="o">.</span><span class="n">_GLIBCXX_USE_CXX11_ABI</span>
 
 
 <span class="c1"># Import the ops &quot;namespace&quot;</span>

docs/master/_modules/torch/__config__.html

@@ -188,7 +188,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+8b997aa &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+edc5fdf &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/_jit_internal.html

@@ -188,7 +188,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+8b997aa &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+edc5fdf &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/_lobpcg.html

@@ -188,7 +188,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+8b997aa &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+edc5fdf &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/_lowrank.html

@@ -188,7 +188,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+8b997aa &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+edc5fdf &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/_tensor_str.html

@@ -188,7 +188,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+8b997aa &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+edc5fdf &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/_utils.html

@@ -188,7 +188,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+8b997aa &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+edc5fdf &#x25BC</a>
                 </div>
 
 
@@ -561,6 +561,12 @@ <h1>Source code for torch._utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">tensor</span>
 
 
+<span class="k">def</span> <span class="nf">_rebuild_mlc_tensor</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">dtype</span><span class="p">,</span> <span class="n">device</span><span class="p">,</span> <span class="n">requires_grad</span><span class="p">):</span>
+    <span class="n">tensor</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">from_numpy</span><span class="p">(</span><span class="n">data</span><span class="p">)</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">dtype</span><span class="o">=</span><span class="n">dtype</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">)</span>
+    <span class="n">tensor</span><span class="o">.</span><span class="n">requires_grad</span> <span class="o">=</span> <span class="n">requires_grad</span>
+    <span class="k">return</span> <span class="n">tensor</span>
+
+
 <span class="k">def</span> <span class="nf">_rebuild_qtensor</span><span class="p">(</span><span class="n">storage</span><span class="p">,</span> <span class="n">storage_offset</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">stride</span><span class="p">,</span> <span class="n">quantizer_params</span><span class="p">,</span> <span class="n">requires_grad</span><span class="p">,</span> <span class="n">backward_hooks</span><span class="p">):</span>
     <span class="n">qscheme</span> <span class="o">=</span> <span class="n">quantizer_params</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
     <span class="k">if</span> <span class="n">qscheme</span> <span class="o">==</span> <span class="n">torch</span><span class="o">.</span><span class="n">per_tensor_affine</span><span class="p">:</span>

docs/master/_modules/torch/_vmap_internals.html

@@ -188,7 +188,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+8b997aa &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.9.0a0+edc5fdf &#x25BC</a>
                 </div>