Generate Python docs from pytorch/pytorch@0ca0e02

Author: pytorchbot

docs/master/__config__.html

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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/_lobpcg.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/qconfig.html

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

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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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@@ -496,7 +496,7 @@ <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>
 
 
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+<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>
@@ -540,7 +540,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
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 <span class="k">class</span> <span class="nc">enable_grad</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
@@ -586,7 +586,7 @@ <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>
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 <span class="sd">    ``set_grad_enabled`` will enable or disable grads based on its argument :attr:`mode`.</span>
@@ -636,7 +636,7 @@ <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>
 
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 <span class="k">class</span> <span class="nc">inference_mode</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>

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