Generate Python docs from pytorch/pytorch@12ea12d

Author: pytorchbot

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@@ -650,7 +650,9 @@ <h1>Source code for torch.amp.autocast_mode</h1><div class="highlight"><pre>
 <span class="sd">    (see :ref:`Working with Multiple GPUs&lt;amp-multigpu&gt;`).</span>
 
 <span class="sd">    Args:</span>
-<span class="sd">        device_type(str, required):  Whether to use &#39;cuda&#39; or &#39;cpu&#39; device</span>
+<span class="sd">        device_type(str, required):  Device type to use. Possible values are: &#39;cuda&#39;, &#39;cpu&#39;, &#39;xpu&#39; and &#39;hpu&#39;.</span>
+<span class="sd">                                     The type is the same as the `type` attribute of a :class:`torch.device`.</span>
+<span class="sd">                                     Thus, you may obtain the device type of a tensor using `Tensor.device.type`.</span>
 <span class="sd">        enabled(bool, optional):  Whether autocasting should be enabled in the region.</span>
 <span class="sd">            Default: ``True``</span>
 <span class="sd">        dtype(torch_dtype, optional):  Whether to use torch.float16 or torch.bfloat16.</span>

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@@ -843,7 +843,7 @@ <h1>Source code for torch.ao.ns.fx.utils</h1><div class="highlight"><pre>
     <span class="n">new_results</span> <span class="o">=</span> <span class="p">{}</span>
     <span class="k">for</span> <span class="n">old_layer_name</span><span class="p">,</span> <span class="n">result_type_to_results</span> <span class="ow">in</span> <span class="n">results</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
         <span class="n">new_layer_name</span> <span class="o">=</span> <span class="kc">None</span>
-        <span class="k">for</span> <span class="n">_result_type</span><span class="p">,</span> <span class="n">model_name_to_results</span> <span class="ow">in</span> <span class="n">result_type_to_results</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+        <span class="k">for</span> <span class="n">model_name_to_results</span> <span class="ow">in</span> <span class="n">result_type_to_results</span><span class="o">.</span><span class="n">values</span><span class="p">():</span>
             <span class="k">for</span> <span class="n">cur_model_name</span><span class="p">,</span> <span class="n">list_of_results</span> <span class="ow">in</span> <span class="n">model_name_to_results</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
                 <span class="k">if</span> <span class="n">cur_model_name</span> <span class="o">==</span> <span class="n">model_name</span><span class="p">:</span>
                     <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">list_of_results</span><span class="p">)</span>
@@ -869,8 +869,8 @@ <h1>Source code for torch.ao.ns.fx.utils</h1><div class="highlight"><pre>
 
     <span class="c1"># Check in the first result to find any model with fqn entries defined.</span>
     <span class="n">model_name_with_fqns</span> <span class="o">=</span> <span class="kc">None</span>
-    <span class="k">for</span> <span class="n">layer_name</span><span class="p">,</span> <span class="n">result_type_to_results</span> <span class="ow">in</span> <span class="n">results</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
-        <span class="k">for</span> <span class="n">result_type</span><span class="p">,</span> <span class="n">model_name_to_results</span> <span class="ow">in</span> <span class="n">result_type_to_results</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+    <span class="k">for</span> <span class="n">result_type_to_results</span> <span class="ow">in</span> <span class="n">results</span><span class="o">.</span><span class="n">values</span><span class="p">():</span>
+        <span class="k">for</span> <span class="n">model_name_to_results</span> <span class="ow">in</span> <span class="n">result_type_to_results</span><span class="o">.</span><span class="n">values</span><span class="p">():</span>
             <span class="k">for</span> <span class="n">model_name</span><span class="p">,</span> <span class="n">model_results</span> <span class="ow">in</span> <span class="n">model_name_to_results</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
                 <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">model_results</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
                     <span class="k">if</span> <span class="n">model_results</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="s2">&quot;fqn&quot;</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
@@ -880,8 +880,8 @@ <h1>Source code for torch.ao.ns.fx.utils</h1><div class="highlight"><pre>
         <span class="k">break</span>
 
     <span class="k">if</span> <span class="n">model_name_with_fqns</span><span class="p">:</span>
-        <span class="k">for</span> <span class="n">layer_name</span><span class="p">,</span> <span class="n">result_type_to_results</span> <span class="ow">in</span> <span class="n">results</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
-            <span class="k">for</span> <span class="n">result_type</span><span class="p">,</span> <span class="n">model_name_to_results</span> <span class="ow">in</span> <span class="n">result_type_to_results</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+        <span class="k">for</span> <span class="n">result_type_to_results</span> <span class="ow">in</span> <span class="n">results</span><span class="o">.</span><span class="n">values</span><span class="p">():</span>
+            <span class="k">for</span> <span class="n">model_name_to_results</span> <span class="ow">in</span> <span class="n">result_type_to_results</span><span class="o">.</span><span class="n">values</span><span class="p">():</span>
                 <span class="n">ref_model_results</span> <span class="o">=</span> <span class="n">model_name_to_results</span><span class="p">[</span><span class="n">model_name_with_fqns</span><span class="p">]</span>
                 <span class="k">for</span> <span class="n">model_name</span><span class="p">,</span> <span class="n">model_results</span> <span class="ow">in</span> <span class="n">model_name_to_results</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
                     <span class="k">if</span> <span class="n">model_name</span> <span class="o">==</span> <span class="n">model_name_with_fqns</span><span class="p">:</span>

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

@@ -230,7 +230,7 @@
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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gita6b8c30 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git12ea12d ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/ao/quantization.html

@@ -230,7 +230,7 @@
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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gita6b8c30 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git12ea12d ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/ao/quantization/backend_config/backend_config.html

@@ -230,7 +230,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gita6b8c30 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git12ea12d ) &#x25BC</a>
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