Generate Python docs from pytorch/pytorch@d7ab600

Author: pytorchbot

docs/master/__config__.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
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docs/master/_images/layer_norm.jpg

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
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docs/master/_modules/index.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
     </div>
 
 
@@ -1059,7 +1059,6 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="c1"># Use the redundant form so that type checkers know that these are a part of</span>
 <span class="c1"># the public API. The &quot;regular&quot; import lines are there solely for the runtime</span>
 <span class="c1"># side effect of adding to the imported module&#39;s members for other users.</span>
-
 <span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">cuda</span> <span class="k">as</span> <span class="n">cuda</span>
 <span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">cpu</span> <span class="k">as</span> <span class="n">cpu</span>
 <span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">autograd</span> <span class="k">as</span> <span class="n">autograd</span>
@@ -1075,6 +1074,8 @@ <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.quantizable</span>
 <span class="kn">import</span> <span class="nn">torch.nn.quantized</span>
+<span class="c1"># AO depends on nn, as well as quantized stuff -- so should be after those.</span>
+<span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">ao</span> <span class="k">as</span> <span class="n">ao</span>
 <span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">optim</span> <span class="k">as</span> <span class="n">optim</span>
 <span class="kn">import</span> <span class="nn">torch.optim._multi_tensor</span>
 <span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">multiprocessing</span> <span class="k">as</span> <span class="n">multiprocessing</span>

docs/master/_modules/torch.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/__config__.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_jit_internal.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_lobpcg.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_lowrank.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
     </div>
 
 
@@ -393,7 +393,6 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
 <span class="kn">from</span> <span class="nn">numbers</span> <span class="kn">import</span> <span class="n">Number</span>
 <span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span>
 <span class="kn">import</span> <span class="nn">warnings</span>
-<span class="kn">import</span> <span class="nn">weakref</span>
 
 <span class="kn">import</span> <span class="nn">torch</span>
 <span class="kn">import</span> <span class="nn">torch._C</span> <span class="k">as</span> <span class="nn">_C</span>
@@ -746,33 +745,6 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
 <span class="s2">    have forward mode AD gradients.</span>
 <span class="s2">    &quot;&quot;&quot;</span><span class="p">)</span>
 
-    <span class="k">def</span> <span class="nf">retain_grad</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Enables .grad attribute for non-leaf Tensors.&quot;&quot;&quot;</span>
-        <span class="k">if</span> <span class="n">has_torch_function_unary</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-            <span class="k">return</span> <span class="n">handle_torch_function</span><span class="p">(</span><span class="n">Tensor</span><span class="o">.</span><span class="n">retain_grad</span><span class="p">,</span> <span class="p">(</span><span class="bp">self</span><span class="p">,),</span> <span class="bp">self</span><span class="p">)</span>
-        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">requires_grad</span><span class="p">:</span>
-            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">&quot;can&#39;t retain_grad on Tensor that has requires_grad=False&quot;</span><span class="p">)</span>
-        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_leaf</span><span class="p">:</span>  <span class="c1"># no-op for leaves</span>
-            <span class="k">return</span>
-        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s1">&#39;retains_grad&#39;</span><span class="p">):</span>
-            <span class="k">return</span>
-        <span class="n">weak_self</span> <span class="o">=</span> <span class="n">weakref</span><span class="o">.</span><span class="n">ref</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
-
-        <span class="k">def</span> <span class="nf">retain_grad_hook</span><span class="p">(</span><span class="n">grad</span><span class="p">):</span>
-            <span class="n">var</span> <span class="o">=</span> <span class="n">weak_self</span><span class="p">()</span>
-            <span class="k">if</span> <span class="n">var</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
-                <span class="k">return</span>
-            <span class="k">if</span> <span class="n">var</span><span class="o">.</span><span class="n">_grad</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
-                <span class="k">if</span> <span class="n">grad</span><span class="o">.</span><span class="n">is_sparse</span><span class="p">:</span>
-                    <span class="n">var</span><span class="o">.</span><span class="n">_grad</span> <span class="o">=</span> <span class="n">grad</span><span class="o">.</span><span class="n">clone</span><span class="p">()</span>
-                <span class="k">else</span><span class="p">:</span>
-                    <span class="n">var</span><span class="o">.</span><span class="n">_grad</span> <span class="o">=</span> <span class="n">grad</span><span class="o">.</span><span class="n">clone</span><span class="p">(</span><span class="n">memory_format</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">contiguous_format</span><span class="p">)</span>
-            <span class="k">else</span><span class="p">:</span>
-                <span class="n">var</span><span class="o">.</span><span class="n">_grad</span> <span class="o">=</span> <span class="n">var</span><span class="o">.</span><span class="n">_grad</span> <span class="o">+</span> <span class="n">grad</span>
-
-        <span class="bp">self</span><span class="o">.</span><span class="n">register_hook</span><span class="p">(</span><span class="n">retain_grad_hook</span><span class="p">)</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">retains_grad</span> <span class="o">=</span> <span class="kc">True</span>
-
     <span class="k">def</span> <span class="nf">is_shared</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Checks if tensor is in shared memory.</span>
 
@@ -1386,12 +1358,6 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
             <span class="c1"># TODO mypy doesn&#39;t support @property, see: https://github.com/python/mypy/issues/6185</span>
             <span class="k">return</span> <span class="n">handle_torch_function</span><span class="p">(</span><span class="n">Tensor</span><span class="o">.</span><span class="n">grad</span><span class="o">.</span><span class="fm">__get__</span><span class="p">,</span> <span class="p">(</span><span class="bp">self</span><span class="p">,),</span> <span class="bp">self</span><span class="p">)</span>  <span class="c1"># type: ignore[attr-defined]</span>
 
-        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">requires_grad</span> <span class="ow">and</span> <span class="ow">not</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s2">&quot;retains_grad&quot;</span><span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_leaf</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_grad</span> <span class="ow">is</span> <span class="kc">None</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="s2">&quot;The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad &quot;</span>
-                          <span class="s2">&quot;attribute won&#39;t be populated during autograd.backward(). If you indeed want the gradient &quot;</span>
-                          <span class="s2">&quot;for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the &quot;</span>
-                          <span class="s2">&quot;non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See &quot;</span>
-                          <span class="s2">&quot;github.com/pytorch/pytorch/pull/30531 for more information.&quot;</span><span class="p">,</span> <span class="n">stacklevel</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_grad</span>
 
     <span class="nd">@grad</span><span class="o">.</span><span class="n">setter</span>

docs/master/_modules/torch/_tensor.html

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
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docs/master/_modules/torch/_tensor_str.html

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_utils.html

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
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docs/master/_modules/torch/_vmap_internals.html

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
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docs/master/_modules/torch/autograd.html

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
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docs/master/_modules/torch/autograd/anomaly_mode.html

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
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docs/master/_modules/torch/autograd/function.html

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
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docs/master/_modules/torch/autograd/functional.html

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git210259b ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd7ab600 ) &#x25BC</a>
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