Generate Python docs from pytorch/pytorch@31d9f7c

Author: pytorchbot

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+gitedffd59 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git31d9f7c ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+gitedffd59 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git31d9f7c ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/__config__.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+gitedffd59 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git31d9f7c ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_jit_internal.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+gitedffd59 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git31d9f7c ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_lobpcg.html

@@ -217,7 +217,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+gitedffd59 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git31d9f7c ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_lowrank.html

@@ -217,7 +217,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+gitedffd59 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git31d9f7c ) &#x25BC</a>
     </div>
 
 
@@ -922,14 +922,14 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
 <span class="s2">    have forward mode AD gradients.</span>
 <span class="s2">    &quot;&quot;&quot;</span><span class="p">)</span>
 
-<div class="viewcode-block" id="Tensor.is_shared"><a class="viewcode-back" href="../../generated/torch.Tensor.is_shared.html#torch.Tensor.is_shared">[docs]</a>    <span class="k">def</span> <span class="nf">is_shared</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+    <span class="k">def</span> <span class="nf">is_shared</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Checks if tensor is in shared memory.</span>
 
 <span class="sd">        This is always ``True`` for CUDA tensors.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">if</span> <span class="n">has_torch_function_unary</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
             <span class="k">return</span> <span class="n">handle_torch_function</span><span class="p">(</span><span class="n">Tensor</span><span class="o">.</span><span class="n">is_shared</span><span class="p">,</span> <span class="p">(</span><span class="bp">self</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="n">storage</span><span class="p">()</span><span class="o">.</span><span class="n">is_shared</span><span class="p">()</span></div>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">storage</span><span class="p">()</span><span class="o">.</span><span class="n">is_shared</span><span class="p">()</span>
 
     <span class="k">def</span> <span class="nf">share_memory_</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Moves the underlying storage to shared memory.</span>
@@ -992,7 +992,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">stft</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_fft</span><span class="p">,</span> <span class="n">hop_length</span><span class="p">,</span> <span class="n">win_length</span><span class="p">,</span> <span class="n">window</span><span class="p">,</span> <span class="n">center</span><span class="p">,</span>
                           <span class="n">pad_mode</span><span class="p">,</span> <span class="n">normalized</span><span class="p">,</span> <span class="n">onesided</span><span class="p">,</span> <span class="n">return_complex</span><span class="o">=</span><span class="n">return_complex</span><span class="p">)</span>
 
-<div class="viewcode-block" id="Tensor.istft"><a class="viewcode-back" href="../../generated/torch.Tensor.istft.html#torch.Tensor.istft">[docs]</a>    <span class="k">def</span> <span class="nf">istft</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_fft</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">hop_length</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="k">def</span> <span class="nf">istft</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_fft</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">hop_length</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
               <span class="n">win_length</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">window</span><span class="p">:</span> <span class="s1">&#39;Optional[Tensor]&#39;</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
               <span class="n">center</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">normalized</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
               <span class="n">onesided</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">length</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
@@ -1005,7 +1005,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
                 <span class="n">return_complex</span><span class="o">=</span><span class="n">return_complex</span>
             <span class="p">)</span>
         <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">istft</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_fft</span><span class="p">,</span> <span class="n">hop_length</span><span class="p">,</span> <span class="n">win_length</span><span class="p">,</span> <span class="n">window</span><span class="p">,</span> <span class="n">center</span><span class="p">,</span>
-                           <span class="n">normalized</span><span class="p">,</span> <span class="n">onesided</span><span class="p">,</span> <span class="n">length</span><span class="p">,</span> <span class="n">return_complex</span><span class="o">=</span><span class="n">return_complex</span><span class="p">)</span></div>
+                           <span class="n">normalized</span><span class="p">,</span> <span class="n">onesided</span><span class="p">,</span> <span class="n">length</span><span class="p">,</span> <span class="n">return_complex</span><span class="o">=</span><span class="n">return_complex</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">resize</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">sizes</span><span class="p">):</span>
         <span class="k">if</span> <span class="n">has_torch_function_unary</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>

docs/master/_modules/torch/_tensor.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+gitedffd59 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git31d9f7c ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_tensor_str.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+gitedffd59 ) &#x25BC</a>
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     </div>
 
 

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+gitedffd59 ) &#x25BC</a>
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     </div>
 
 

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+gitedffd59 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git31d9f7c ) &#x25BC</a>
     </div>
 
 

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

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+gitedffd59 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git31d9f7c ) &#x25BC</a>
     </div>
 
 

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

@@ -217,7 +217,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+gitedffd59 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git31d9f7c ) &#x25BC</a>
     </div>
 
 

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

@@ -217,7 +217,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+gitedffd59 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git31d9f7c ) &#x25BC</a>
     </div>
 
 
@@ -874,7 +874,7 @@ <h1>Source code for torch.ao.quantization.fake_quantize</h1><div class="highligh
             <span class="n">name</span> <span class="o">==</span> <span class="s1">&#39;torch.ao.quantization.fake_quantize.FusedMovingAvgObsFakeQuantize&#39;</span>
     <span class="k">return</span> <span class="kc">False</span>
 
-<div class="viewcode-block" id="disable_fake_quant"><a class="viewcode-back" href="../../../../generated/torch.quantization.fake_quantize.disable_fake_quant.html#torch.quantization.fake_quantize.disable_fake_quant">[docs]</a><span class="k">def</span> <span class="nf">disable_fake_quant</span><span class="p">(</span><span class="n">mod</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">disable_fake_quant</span><span class="p">(</span><span class="n">mod</span><span class="p">):</span>
     <span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Disable fake quantization for this module, if applicable. Example usage::</span>
 
@@ -883,9 +883,9 @@ <h1>Source code for torch.ao.quantization.fake_quantize</h1><div class="highligh
 
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">mod</span><span class="p">,</span> <span class="n">FakeQuantizeBase</span><span class="p">)</span> <span class="ow">or</span> <span class="n">_is_fake_quant_script_module</span><span class="p">(</span><span class="n">mod</span><span class="p">):</span>
-        <span class="n">mod</span><span class="o">.</span><span class="n">disable_fake_quant</span><span class="p">()</span></div>
+        <span class="n">mod</span><span class="o">.</span><span class="n">disable_fake_quant</span><span class="p">()</span>
 
-<div class="viewcode-block" id="enable_fake_quant"><a class="viewcode-back" href="../../../../generated/torch.quantization.fake_quantize.enable_fake_quant.html#torch.quantization.fake_quantize.enable_fake_quant">[docs]</a><span class="k">def</span> <span class="nf">enable_fake_quant</span><span class="p">(</span><span class="n">mod</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">enable_fake_quant</span><span class="p">(</span><span class="n">mod</span><span class="p">):</span>
     <span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Enable fake quantization for this module, if applicable. Example usage::</span>
 
@@ -894,9 +894,9 @@ <h1>Source code for torch.ao.quantization.fake_quantize</h1><div class="highligh
 
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">mod</span><span class="p">,</span> <span class="n">FakeQuantizeBase</span><span class="p">)</span> <span class="ow">or</span> <span class="n">_is_fake_quant_script_module</span><span class="p">(</span><span class="n">mod</span><span class="p">):</span>
-        <span class="n">mod</span><span class="o">.</span><span class="n">enable_fake_quant</span><span class="p">()</span></div>
+        <span class="n">mod</span><span class="o">.</span><span class="n">enable_fake_quant</span><span class="p">()</span>
 
-<div class="viewcode-block" id="disable_observer"><a class="viewcode-back" href="../../../../generated/torch.quantization.fake_quantize.disable_observer.html#torch.quantization.fake_quantize.disable_observer">[docs]</a><span class="k">def</span> <span class="nf">disable_observer</span><span class="p">(</span><span class="n">mod</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">disable_observer</span><span class="p">(</span><span class="n">mod</span><span class="p">):</span>
     <span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Disable observation for this module, if applicable. Example usage::</span>
 
@@ -905,9 +905,9 @@ <h1>Source code for torch.ao.quantization.fake_quantize</h1><div class="highligh
 
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">mod</span><span class="p">,</span> <span class="n">FakeQuantizeBase</span><span class="p">)</span> <span class="ow">or</span> <span class="n">_is_fake_quant_script_module</span><span class="p">(</span><span class="n">mod</span><span class="p">):</span>
-        <span class="n">mod</span><span class="o">.</span><span class="n">disable_observer</span><span class="p">()</span></div>
+        <span class="n">mod</span><span class="o">.</span><span class="n">disable_observer</span><span class="p">()</span>
 
-<div class="viewcode-block" id="enable_observer"><a class="viewcode-back" href="../../../../generated/torch.quantization.fake_quantize.enable_observer.html#torch.quantization.fake_quantize.enable_observer">[docs]</a><span class="k">def</span> <span class="nf">enable_observer</span><span class="p">(</span><span class="n">mod</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">enable_observer</span><span class="p">(</span><span class="n">mod</span><span class="p">):</span>
     <span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Enable observation for this module, if applicable. Example usage::</span>
 
@@ -916,7 +916,7 @@ <h1>Source code for torch.ao.quantization.fake_quantize</h1><div class="highligh
 
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">mod</span><span class="p">,</span> <span class="n">FakeQuantizeBase</span><span class="p">)</span> <span class="ow">or</span> <span class="n">_is_fake_quant_script_module</span><span class="p">(</span><span class="n">mod</span><span class="p">):</span>
-        <span class="n">mod</span><span class="o">.</span><span class="n">enable_observer</span><span class="p">()</span></div>
+        <span class="n">mod</span><span class="o">.</span><span class="n">enable_observer</span><span class="p">()</span>
 </pre></div>
 
              </article>

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

@@ -217,7 +217,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+gitedffd59 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.12.0a0+git31d9f7c ) &#x25BC</a>
     </div>