Generate Python docs from pytorch/pytorch@1e260c8

Author: pytorchbot

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@@ -799,7 +799,9 @@ <h1>Source code for torch._tensor_str</h1><div class="highlight"><pre>
         <span class="n">torch</span><span class="o">.</span><span class="n">float16</span><span class="p">,</span>
         <span class="n">torch</span><span class="o">.</span><span class="n">bfloat16</span><span class="p">,</span>
         <span class="n">torch</span><span class="o">.</span><span class="n">float8_e5m2</span><span class="p">,</span>
+        <span class="n">torch</span><span class="o">.</span><span class="n">float8_e5m2fnuz</span><span class="p">,</span>
         <span class="n">torch</span><span class="o">.</span><span class="n">float8_e4m3fn</span><span class="p">,</span>
+        <span class="n">torch</span><span class="o">.</span><span class="n">float8_e4m3fnuz</span><span class="p">,</span>
     <span class="p">]:</span>
         <span class="bp">self</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">float</span><span class="p">()</span>
 

docs/main/_modules/torch/_tensor_str.html

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@@ -616,17 +616,19 @@ <h1>Source code for torch.ao.quantization</h1><div class="highlight"><pre>
 <span class="p">]</span>
 
 <div class="viewcode-block" id="default_eval_fn"><a class="viewcode-back" href="../../../generated/torch.ao.quantization.default_eval_fn.html#torch.ao.quantization.default_eval_fn">[docs]</a><span class="k">def</span> <span class="nf">default_eval_fn</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">calib_data</span><span class="p">):</span>
-<span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
+<span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;Define the default evaluation function.</span>
+
 <span class="sd">    Default evaluation function takes a torch.utils.data.Dataset or a list of</span>
 <span class="sd">    input Tensors and run the model on the dataset</span>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="k">for</span> <span class="n">data</span><span class="p">,</span> <span class="n">target</span> <span class="ow">in</span> <span class="n">calib_data</span><span class="p">:</span>
         <span class="n">model</span><span class="p">(</span><span class="n">data</span><span class="p">)</span></div>
 
 <span class="k">class</span> <span class="nc">_DerivedObserverOrFakeQuantize</span><span class="p">(</span><span class="n">ObserverBase</span><span class="p">):</span>
-<span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot; This observer is used to describe an observer whose quantization parameters</span>
+<span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;This observer is used to describe an observer whose quantization parameters</span>
 <span class="sd">    are derived from other observers</span>
 <span class="sd">    &quot;&quot;&quot;</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">dtype</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span>

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