auto-generating sphinx docs

Author: pytorchbot

docs/1.7.0/__config__.html

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                 <div class="version">
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docs/1.7.0/_modules/index.html

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                 <div class="version">
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+                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+e85d494 &#x25BC</a>
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docs/1.7.0/_modules/torch.html

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                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+6394982 &#x25BC</a>
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@@ -957,11 +957,12 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="n">quantized_lstm</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">aten</span><span class="o">.</span><span class="n">quantized_lstm</span>
 <span class="n">quantized_gru</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">aten</span><span class="o">.</span><span class="n">quantized_gru</span>
 
-<span class="kn">from</span> <span class="nn">.overrides</span> <span class="kn">import</span> <span class="n">has_torch_function</span><span class="p">,</span> <span class="n">handle_torch_function</span>
 
 <span class="k">def</span> <span class="nf">Assert</span><span class="p">(</span><span class="n">condition</span><span class="p">,</span> <span class="n">message</span><span class="p">):</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;A wrapper around Python&#39;s assert which is symbolically traceable.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
+    <span class="kn">from</span> <span class="nn">.overrides</span> <span class="kn">import</span> <span class="n">has_torch_function</span><span class="p">,</span> <span class="n">handle_torch_function</span>
+
     <span class="k">if</span> <span class="nb">type</span><span class="p">(</span><span class="n">condition</span><span class="p">)</span> <span class="ow">is</span> <span class="ow">not</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span> <span class="ow">and</span> <span class="n">has_torch_function</span><span class="p">((</span><span class="n">condition</span><span class="p">,)):</span>
         <span class="k">return</span> <span class="n">handle_torch_function</span><span class="p">(</span><span class="n">Assert</span><span class="p">,</span> <span class="p">(</span><span class="n">condition</span><span class="p">,),</span> <span class="n">condition</span><span class="p">,</span> <span class="n">message</span><span class="p">)</span>
     <span class="k">assert</span> <span class="n">condition</span><span class="p">,</span> <span class="n">message</span>

docs/1.7.0/_modules/torch/__config__.html

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                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.7.0a0+6394982 &#x25BC</a>
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docs/1.7.0/_modules/torch/_jit_internal.html

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docs/1.7.0/_modules/torch/_lowrank.html

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docs/1.7.0/_modules/torch/_tensor_str.html

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docs/1.7.0/_modules/torch/autograd/grad_mode.html

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docs/1.7.0/_modules/torch/backends/cuda.html

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docs/1.7.0/_modules/torch/backends/cudnn.html

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docs/1.7.0/_modules/torch/backends/mkl.html

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docs/1.7.0/_modules/torch/backends/mkldnn.html

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docs/1.7.0/_modules/torch/backends/openmp.html

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                 <div class="version">
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docs/1.7.0/_modules/torch/cuda.html

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                 <div class="version">
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