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<span class="sd"> device (torch.device or int, optional): The device to set the RNG state.</span>
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<span class="sd"> Default: ``&#39;cuda&#39;`` (i.e., ``torch.device(&#39;cuda&#39;)``, the current CUDA device).</span>
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<span class="nd">@property</span>
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<span class="k">def</span> <span class="nf">variance</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
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<span class="n">df2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">df2</span><span class="o">.</span><span class="n">clone</span><span class="p">()</span>
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<span class="n">df2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">df2</span><span class="o">.</span><span class="n">clone</span><span class="p">(</span><span class="n">memory_format</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">contiguous_format</span><span class="p">)</span>
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<span class="n">df2</span><span class="p">[</span><span class="n">df2</span> <span class="o">&lt;=</span> <span class="mi">4</span><span class="p">]</span> <span class="o">=</span> <span class="n">nan</span>
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<span class="k">return</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">df2</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">df1</span> <span class="o">+</span> <span class="n">df2</span> <span class="o">-</span> <span class="mi">2</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">df1</span> <span class="o">*</span> <span class="p">(</span><span class="n">df2</span> <span class="o">-</span> <span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">df2</span> <span class="o">-</span> <span class="mi">4</span><span class="p">))</span>
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<div class="version">
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<a href='http://pytorch.org/docs/versions.html'>1.4.0a0+78a34d3 &#x25BC</a>
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<a href='http://pytorch.org/docs/versions.html'>1.4.0a0+75309b4 &#x25BC</a>
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