Generate Python docs from pytorch/pytorch@ce86881

Author: pytorchbot

docs/master/__config__.html

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docs/master/_images/RReLU.png

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docs/master/_modules/index.html

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docs/master/_modules/torch.html

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docs/master/_modules/torch/__config__.html

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docs/master/_modules/torch/_lowrank.html

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docs/master/_modules/torch/_tensor.html

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docs/master/_modules/torch/_tensor_str.html

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docs/master/_modules/torch/_vmap_internals.html

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docs/master/_modules/torch/ao/ns/_numeric_suite.html

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docs/master/_modules/torch/ao/ns/_numeric_suite_fx.html

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docs/master/_modules/torch/ao/ns/fx/utils.html

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docs/master/_modules/torch/ao/quantization/fake_quantize.html

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docs/master/_modules/torch/ao/quantization/qconfig.html

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docs/master/_modules/torch/ao/quantization/quantize.html

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     <div class="version">
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docs/master/_modules/torch/ao/quantization/quantize_fx.html

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docs/master/_modules/torch/ao/quantization/stubs.html

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docs/master/_modules/torch/autocast_mode.html

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docs/master/_modules/torch/autograd.html

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docs/master/_modules/torch/autograd/anomaly_mode.html

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docs/master/_modules/torch/autograd/function.html

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docs/master/_modules/torch/autograd/functional.html

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@@ -480,7 +480,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="p">()</span>
 
 
-<div class="viewcode-block" id="no_grad"><a class="viewcode-back" href="../../../generated/torch.no_grad.html#torch.no_grad">[docs]</a><span class="k">class</span> <span class="nc">no_grad</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
+<span class="k">class</span> <span class="nc">no_grad</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Context-manager that disabled gradient calculation.</span>
 
 <span class="sd">    Disabling gradient calculation is useful for inference, when you are sure</span>
@@ -524,7 +524,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
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     <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">traceback</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
-        <span class="n">torch</span><span class="o">.</span><span class="n">set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev</span><span class="p">)</span></div>
+        <span class="n">torch</span><span class="o">.</span><span class="n">set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev</span><span class="p">)</span>
 
 
 <span class="k">class</span> <span class="nc">enable_grad</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
@@ -570,7 +570,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
         <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev</span><span class="p">)</span>
 
 
-<span class="k">class</span> <span class="nc">set_grad_enabled</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
+<div class="viewcode-block" id="set_grad_enabled"><a class="viewcode-back" href="../../../generated/torch.set_grad_enabled.html#torch.set_grad_enabled">[docs]</a><span class="k">class</span> <span class="nc">set_grad_enabled</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Context-manager that sets gradient calculation to on or off.</span>
 
 <span class="sd">    ``set_grad_enabled`` will enable or disable grads based on its argument :attr:`mode`.</span>
@@ -620,7 +620,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
         <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">clone</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="p">)</span></div>
 
 
 <span class="k">class</span> <span class="nc">inference_mode</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>

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

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