Generate Python docs from pytorch/pytorch@bacbad5

Author: pytorchbot

docs/main/_images/RReLU.png

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@@ -538,6 +538,7 @@ <h1>All modules for which code is available</h1>
 <li><a href="torch/autograd/gradcheck.html">torch.autograd.gradcheck</a></li>
 <li><a href="torch/autograd/graph.html">torch.autograd.graph</a></li>
 <li><a href="torch/autograd/profiler.html">torch.autograd.profiler</a></li>
+<li><a href="torch/autograd/profiler_util.html">torch.autograd.profiler_util</a></li>
 </ul><li><a href="torch/backends/cpu.html">torch.backends.cpu</a></li>
 <li><a href="torch/backends/cuda.html">torch.backends.cuda</a></li>
 <li><a href="torch/backends/cudnn.html">torch.backends.cudnn</a></li>

docs/main/_modules/index.html

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@@ -532,7 +532,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
     <span class="s1">&#39;set_warn_always&#39;</span><span class="p">,</span> <span class="s1">&#39;is_warn_always_enabled&#39;</span><span class="p">,</span> <span class="s1">&#39;SymInt&#39;</span><span class="p">,</span> <span class="s1">&#39;SymFloat&#39;</span><span class="p">,</span>
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-    <span class="s1">&#39;export&#39;</span><span class="p">,</span> <span class="s1">&#39;autocast&#39;</span><span class="p">,</span> <span class="s1">&#39;cond&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;export&#39;</span><span class="p">,</span> <span class="s1">&#39;autocast&#39;</span><span class="p">,</span> <span class="s1">&#39;cond&#39;</span><span class="p">,</span> <span class="s1">&#39;GradScaler&#39;</span><span class="p">,</span>
 <span class="p">]</span>
 
 <span class="c1">################################################################################</span>
@@ -1937,7 +1937,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
         <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">&quot;Unable to find torch_shm_manager at &quot;</span> <span class="o">+</span> <span class="n">path</span><span class="p">)</span>
     <span class="k">return</span> <span class="n">path</span><span class="o">.</span><span class="n">encode</span><span class="p">(</span><span class="s1">&#39;utf-8&#39;</span><span class="p">)</span>
 
-<span class="kn">from</span> <span class="nn">torch.amp</span> <span class="kn">import</span> <span class="n">autocast</span>
+<span class="kn">from</span> <span class="nn">torch.amp</span> <span class="kn">import</span> <span class="n">autocast</span><span class="p">,</span> <span class="n">GradScaler</span>
 
 <span class="c1"># Initializing the extension shadows the built-in python float / int classes;</span>
 <span class="c1"># store them for later use by SymInt / SymFloat.</span>

docs/main/_modules/torch.html

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docs/main/_modules/torch/__config__.html

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docs/main/_modules/torch/_lobpcg.html

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docs/main/_modules/torch/_tensor.html

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docs/main/_modules/torch/_tensor_str.html

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docs/main/_modules/torch/_utils.html

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docs/main/_modules/torch/amp/autocast_mode.html

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docs/main/_modules/torch/ao/nn/intrinsic/modules/fused.html

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docs/main/_modules/torch/ao/nn/intrinsic/qat/modules/conv_fused.html

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docs/main/_modules/torch/ao/nn/intrinsic/qat/modules/linear_relu.html

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docs/main/_modules/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.html

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docs/main/_modules/torch/ao/nn/intrinsic/quantized/modules/bn_relu.html

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