Generate Python docs from pytorch/pytorch@adc54dc

Author: pytorchbot

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@@ -1214,8 +1214,11 @@ <h1>Source code for torch.ao.quantization.observer</h1><div class="highlight"><p
 <div class="viewcode-block" id="PerChannelMinMaxObserver.reset_min_max_vals"><a class="viewcode-back" href="../../../../generated/torch.quantization.observer.PerChannelMinMaxObserver.html#torch.quantization.observer.PerChannelMinMaxObserver.reset_min_max_vals">[docs]</a>    <span class="nd">@torch</span><span class="o">.</span><span class="n">jit</span><span class="o">.</span><span class="n">export</span>
     <span class="k">def</span> <span class="nf">reset_min_max_vals</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;Resets the min/max values.&quot;&quot;&quot;</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">min_val</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">([])</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">max_val</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">([])</span></div></div>
+        <span class="c1"># This used to be torch.ones but that does not work because</span>
+        <span class="c1"># JIT compiler can optimize it via common subexpression elimination</span>
+        <span class="c1"># in which case both min_val and max_val point to the same tensor.</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">min_val</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">max_val</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="p">)</span></div></div>
 
 
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