Generate Python docs from pytorch/pytorch@55f9359

Author: pytorchbot

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docs/main/_modules/torch.html

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@@ -844,6 +844,17 @@ <h1>Source code for torch._utils</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">tensor</span>
 
 
+<span class="k">def</span> <span class="nf">_rebuild_buffer</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">requires_grad</span><span class="p">,</span> <span class="n">persistent</span><span class="p">):</span>
+    <span class="n">buffer</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Buffer</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">requires_grad</span><span class="p">,</span> <span class="n">persistent</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">buffer</span>
+
+
+<span class="k">def</span> <span class="nf">_rebuild_buffer_with_state</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">requires_grad</span><span class="p">,</span> <span class="n">persistent</span><span class="p">,</span> <span class="n">state</span><span class="p">):</span>
+    <span class="n">buffer</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Buffer</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">requires_grad</span><span class="p">,</span> <span class="n">persistent</span><span class="p">)</span>
+    <span class="n">buffer</span> <span class="o">=</span> <span class="n">_set_obj_state</span><span class="p">(</span><span class="n">buffer</span><span class="p">,</span> <span class="n">state</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">buffer</span>
+
+
 <span class="k">def</span> <span class="nf">_rebuild_parameter</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">requires_grad</span><span class="p">,</span> <span class="n">backward_hooks</span><span class="p">):</span>
     <span class="n">param</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Parameter</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">requires_grad</span><span class="p">)</span>
     <span class="c1"># NB: This line exists only for backwards compatibility; the</span>

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/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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