Generate Python docs from pytorch/pytorch@0d9aff2

Author: pytorchbot

docs/main/_images/RReLU.png

@@ -242,7 +242,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
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+      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git0d9aff2 ) &#x25BC</a>
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docs/main/_modules/index.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git9d5b950 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git0d9aff2 ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git9d5b950 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git0d9aff2 ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/__config__.html

@@ -242,7 +242,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
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+      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git0d9aff2 ) &#x25BC</a>
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@@ -1414,7 +1414,7 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
 
 
 <span class="c1"># (qualified_name, class name) =&gt; class_fileno</span>
-<span class="n">_overloaded_method_class_fileno</span> <span class="o">=</span> <span class="p">{}</span>
+<span class="n">_overloaded_method_class_fileno</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span> <span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
 
 
 <span class="k">def</span> <span class="nf">_overload_method</span><span class="p">(</span><span class="n">func</span><span class="p">):</span>
@@ -1576,8 +1576,10 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
 
 
 <span class="k">def</span> <span class="nf">is_final</span><span class="p">(</span><span class="n">ann</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
-    <span class="k">return</span> <span class="n">ann</span><span class="o">.</span><span class="vm">__module__</span> <span class="ow">in</span> <span class="p">{</span><span class="s2">&quot;typing&quot;</span><span class="p">,</span> <span class="s2">&quot;typing_extensions&quot;</span><span class="p">}</span> <span class="ow">and</span> <span class="p">(</span>
-        <span class="n">get_origin</span><span class="p">(</span><span class="n">ann</span><span class="p">)</span> <span class="ow">is</span> <span class="n">Final</span> <span class="ow">or</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">ann</span><span class="p">,</span> <span class="nb">type</span><span class="p">(</span><span class="n">Final</span><span class="p">))</span>
+    <span class="k">return</span> <span class="p">(</span>
+        <span class="nb">hasattr</span><span class="p">(</span><span class="n">ann</span><span class="p">,</span> <span class="s2">&quot;__module__&quot;</span><span class="p">)</span>
+        <span class="ow">and</span> <span class="n">ann</span><span class="o">.</span><span class="vm">__module__</span> <span class="ow">in</span> <span class="p">{</span><span class="s2">&quot;typing&quot;</span><span class="p">,</span> <span class="s2">&quot;typing_extensions&quot;</span><span class="p">}</span>
+        <span class="ow">and</span> <span class="p">(</span><span class="n">get_origin</span><span class="p">(</span><span class="n">ann</span><span class="p">)</span> <span class="ow">is</span> <span class="n">Final</span> <span class="ow">or</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">ann</span><span class="p">,</span> <span class="nb">type</span><span class="p">(</span><span class="n">Final</span><span class="p">)))</span>
     <span class="p">)</span>
 
 

docs/main/_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'>main (2.3.0a0+git9d5b950 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git0d9aff2 ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/_lobpcg.html

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     <div class="version">
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     </div>
 
 

docs/main/_modules/torch/_logging/_internal.html

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     <div class="version">
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     </div>
 
 

docs/main/_modules/torch/_lowrank.html

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     <div class="version">
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docs/main/_modules/torch/_tensor.html

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docs/main/_modules/torch/_tensor_str.html

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     </div>
 
 

docs/main/_modules/torch/_utils.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
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+      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git0d9aff2 ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/amp/autocast_mode.html

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           <div class="pytorch-left-menu-search">
 
     <div class="version">
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+      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git0d9aff2 ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/ao/nn/intrinsic/modules/fused.html

@@ -242,7 +242,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
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     </div>
 
 
@@ -856,7 +856,7 @@ <h1>Source code for torch.ao.nn.intrinsic.qat.modules.conv_fused</h1><div class=
 
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="n">_FLOAT_BN_MODULE</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">BatchNorm1d</span>
-    <span class="n">_FLOAT_RELU_MODULE</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">_FLOAT_RELU_MODULE</span><span class="p">:</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span>
     <span class="n">_FLOAT_MODULE</span> <span class="o">=</span> <span class="n">nni</span><span class="o">.</span><span class="n">ConvBn1d</span>
     <span class="n">_FLOAT_CONV_MODULE</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv1d</span>
 
@@ -945,9 +945,9 @@ <h1>Source code for torch.ao.nn.intrinsic.qat.modules.conv_fused</h1><div class=
 <span class="sd">        weight_fake_quant: fake quant module for weight</span>
 
 <span class="sd">    &quot;&quot;&quot;</span>
-    <span class="n">_FLOAT_MODULE</span> <span class="o">=</span> <span class="n">nni</span><span class="o">.</span><span class="n">ConvReLU1d</span>
+    <span class="n">_FLOAT_MODULE</span> <span class="o">=</span> <span class="n">nni</span><span class="o">.</span><span class="n">ConvReLU1d</span>  <span class="c1"># type: ignore[assignment]</span>
     <span class="n">_FLOAT_CONV_MODULE</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv1d</span>
-    <span class="n">_FLOAT_BN_MODULE</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">_FLOAT_BN_MODULE</span><span class="p">:</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span>
     <span class="n">_FLOAT_RELU_MODULE</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span>
 
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">in_channels</span><span class="p">,</span> <span class="n">out_channels</span><span class="p">,</span> <span class="n">kernel_size</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
@@ -990,7 +990,7 @@ <h1>Source code for torch.ao.nn.intrinsic.qat.modules.conv_fused</h1><div class=
     <span class="n">_FLOAT_MODULE</span> <span class="o">=</span> <span class="n">nni</span><span class="o">.</span><span class="n">ConvBn2d</span>
     <span class="n">_FLOAT_CONV_MODULE</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span>
     <span class="n">_FLOAT_BN_MODULE</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">BatchNorm2d</span>
-    <span class="n">_FLOAT_RELU_MODULE</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">_FLOAT_RELU_MODULE</span><span class="p">:</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span>
 
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
                  <span class="c1"># ConvNd args</span>
@@ -1077,9 +1077,9 @@ <h1>Source code for torch.ao.nn.intrinsic.qat.modules.conv_fused</h1><div class=
 <span class="sd">        weight_fake_quant: fake quant module for weight</span>
 
 <span class="sd">    &quot;&quot;&quot;</span>
-    <span class="n">_FLOAT_MODULE</span> <span class="o">=</span> <span class="n">nni</span><span class="o">.</span><span class="n">ConvReLU2d</span>
+    <span class="n">_FLOAT_MODULE</span> <span class="o">=</span> <span class="n">nni</span><span class="o">.</span><span class="n">ConvReLU2d</span>  <span class="c1"># type: ignore[assignment]</span>
     <span class="n">_FLOAT_CONV_MODULE</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span>
-    <span class="n">_FLOAT_BN_MODULE</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">_FLOAT_BN_MODULE</span><span class="p">:</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span>
     <span class="n">_FLOAT_RELU_MODULE</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span>
 
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">in_channels</span><span class="p">,</span> <span class="n">out_channels</span><span class="p">,</span> <span class="n">kernel_size</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
@@ -1122,7 +1122,7 @@ <h1>Source code for torch.ao.nn.intrinsic.qat.modules.conv_fused</h1><div class=
     <span class="n">_FLOAT_MODULE</span> <span class="o">=</span> <span class="n">nni</span><span class="o">.</span><span class="n">ConvBn3d</span>
     <span class="n">_FLOAT_CONV_MODULE</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv3d</span>
     <span class="n">_FLOAT_BN_MODULE</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">BatchNorm3d</span>
-    <span class="n">_FLOAT_RELU_MODULE</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">_FLOAT_RELU_MODULE</span><span class="p">:</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span>
 
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span>
@@ -1250,9 +1250,9 @@ <h1>Source code for torch.ao.nn.intrinsic.qat.modules.conv_fused</h1><div class=
 <span class="sd">        weight_fake_quant: fake quant module for weight</span>
 
 <span class="sd">    &quot;&quot;&quot;</span>
-    <span class="n">_FLOAT_MODULE</span> <span class="o">=</span> <span class="n">nni</span><span class="o">.</span><span class="n">ConvReLU3d</span>
+    <span class="n">_FLOAT_MODULE</span> <span class="o">=</span> <span class="n">nni</span><span class="o">.</span><span class="n">ConvReLU3d</span>  <span class="c1"># type: ignore[assignment]</span>
     <span class="n">_FLOAT_CONV_MODULE</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv3d</span>
-    <span class="n">_FLOAT_BN_MODULE</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">_FLOAT_BN_MODULE</span><span class="p">:</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span>
     <span class="n">_FLOAT_RELU_MODULE</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span>
 
     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>

docs/main/_modules/torch/ao/nn/intrinsic/qat/modules/conv_fused.html

@@ -242,7 +242,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git9d5b950 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git0d9aff2 ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/ao/nn/intrinsic/qat/modules/linear_relu.html

@@ -242,7 +242,7 @@
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     <div class="version">
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docs/main/_modules/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.html

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     <div class="version">
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docs/main/_modules/torch/ao/nn/intrinsic/quantized/modules/bn_relu.html

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     <div class="version">
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docs/main/_modules/torch/ao/nn/intrinsic/quantized/modules/conv_relu.html

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     <div class="version">
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     <div class="version">
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     <div class="version">
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docs/main/_modules/torch/ao/nn/qat/modules/conv.html

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     <div class="version">
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docs/main/_modules/torch/ao/nn/qat/modules/linear.html

@@ -242,7 +242,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git9d5b950 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git0d9aff2 ) &#x25BC</a>
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docs/main/_modules/torch/ao/nn/quantizable/modules/activation.html

@@ -242,7 +242,7 @@
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     <div class="version">
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@@ -242,7 +242,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git9d5b950 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git0d9aff2 ) &#x25BC</a>
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docs/main/_modules/torch/ao/nn/quantized/dynamic/modules/linear.html

@@ -242,7 +242,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git9d5b950 ) &#x25BC</a>
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docs/main/_modules/torch/ao/nn/quantized/functional.html

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+      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git0d9aff2 ) &#x25BC</a>
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docs/main/_modules/torch/ao/nn/quantized/modules/activation.html

@@ -242,7 +242,7 @@
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-      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git9d5b950 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git0d9aff2 ) &#x25BC</a>
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