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@@ -492,7 +492,7 @@ <h1>Source code for torch._lowrank</h1><div class="highlight"><pre>
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<span class="k">return</span> <span class="n">Q</span>
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<div class="viewcode-block" id="svd_lowrank"><a class="viewcode-back" href="../../generated/torch.svd_lowrank.html#torch.svd_lowrank">[docs]</a><span class="k">def</span> <span class="nf">svd_lowrank</span><span class="p">(</span><span class="n">A</span><span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">q</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="mi">6</span><span class="p">,</span> <span class="n">niter</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="mi">2</span><span class="p">,</span>
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<span class="k">def</span> <span class="nf">svd_lowrank</span><span class="p">(</span><span class="n">A</span><span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">q</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="mi">6</span><span class="p">,</span> <span class="n">niter</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="mi">2</span><span class="p">,</span>
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<span class="n">M</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tensor</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]:</span>
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<span class="sa">r</span><span class="sd">&quot;&quot;&quot;Return the singular value decomposition ``(U, S, V)`` of a matrix,</span>
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<span class="sd"> batches of matrices, or a sparse matrix :math:`A` such that</span>
@@ -537,7 +537,7 @@ <h1>Source code for torch._lowrank</h1><div class="highlight"><pre>
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<span class="n">tensor_ops</span> <span class="o">=</span> <span class="p">(</span><span class="n">A</span><span class="p">,</span> <span class="n">M</span><span class="p">)</span>
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<span class="k">if</span> <span class="p">(</span><span class="ow">not</span> <span class="nb">set</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="nb">type</span><span class="p">,</span> <span class="n">tensor_ops</span><span class="p">))</span><span class="o">.</span><span class="n">issubset</span><span class="p">((</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="nb">type</span><span class="p">(</span><span class="kc">None</span><span class="p">)))</span> <span class="ow">and</span> <span class="n">has_torch_function</span><span class="p">(</span><span class="n">tensor_ops</span><span class="p">)):</span>
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@@ -587,7 +587,7 @@ <h1>Source code for torch._lowrank</h1><div class="highlight"><pre>
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<span class="k">return</span> <span class="n">U</span><span class="p">,</span> <span class="n">S</span><span class="p">,</span> <span class="n">V</span>
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<span class="k">def</span> <span class="nf">pca_lowrank</span><span class="p">(</span><span class="n">A</span><span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">q</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">center</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
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<div class="viewcode-block" id="pca_lowrank"><a class="viewcode-back" href="../../generated/torch.pca_lowrank.html#torch.pca_lowrank">[docs]</a><span class="k">def</span> <span class="nf">pca_lowrank</span><span class="p">(</span><span class="n">A</span><span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">q</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">center</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
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@@ -688,7 +688,7 @@ <h1>Source code for torch._lowrank</h1><div class="highlight"><pre>
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<span class="k">return</span> <span class="n">_svd_lowrank</span><span class="p">(</span><span class="n">A</span><span class="p">,</span> <span class="n">q</span><span class="p">,</span> <span class="n">niter</span><span class="o">=</span><span class="n">niter</span><span class="p">,</span> <span class="n">M</span><span class="o">=</span><span class="n">M</span><span class="p">)</span>
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@@ -447,7 +447,7 @@ <h1>Source code for torch.ao.quantization.qconfig</h1><div class="highlight"><pr
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<span class="kn">import</span> <span class="nn">warnings</span>
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<span class="k">class</span> <span class="nc">QConfig</span><span class="p">(</span><span class="n">namedtuple</span><span class="p">(</span><span class="s1">&#39;QConfig&#39;</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;activation&#39;</span><span class="p">,</span> <span class="s1">&#39;weight&#39;</span><span class="p">])):</span>
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<div class="viewcode-block" id="QConfig"><a class="viewcode-back" href="../../../../generated/torch.quantization.qconfig.QConfig.html#torch.quantization.qconfig.QConfig">[docs]</a><span class="k">class</span> <span class="nc">QConfig</span><span class="p">(</span><span class="n">namedtuple</span><span class="p">(</span><span class="s1">&#39;QConfig&#39;</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;activation&#39;</span><span class="p">,</span> <span class="s1">&#39;weight&#39;</span><span class="p">])):</span>
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<span class="sd"> Describes how to quantize a layer or a part of the network by providing</span>
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<span class="sd"> settings (observer classes) for activations and weights respectively.</span>
@@ -471,7 +471,7 @@ <h1>Source code for torch.ao.quantization.qconfig</h1><div class="highlight"><pr
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<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">activation</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">)</span> <span class="ow">or</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">weight</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
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<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;QConfig received observer instance, please pass observer class instead. &quot;</span> <span class="o">+</span>
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<span class="s2">&quot;Use MyObserver.with_args(x=1) to override arguments to constructor if needed&quot;</span><span class="p">)</span>
474-
<span class="k">return</span> <span class="nb">super</span><span class="p">(</span><span class="n">QConfig</span><span class="p">,</span> <span class="bp">cls</span><span class="p">)</span><span class="o">.</span><span class="fm">__new__</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">activation</span><span class="p">,</span> <span class="n">weight</span><span class="p">)</span>
474+
<span class="k">return</span> <span class="nb">super</span><span class="p">(</span><span class="n">QConfig</span><span class="p">,</span> <span class="bp">cls</span><span class="p">)</span><span class="o">.</span><span class="fm">__new__</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">activation</span><span class="p">,</span> <span class="n">weight</span><span class="p">)</span></div>
475475

476476

477477
<span class="k">class</span> <span class="nc">QConfigDynamic</span><span class="p">(</span><span class="n">namedtuple</span><span class="p">(</span><span class="s1">&#39;QConfigDynamic&#39;</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;activation&#39;</span><span class="p">,</span> <span class="s1">&#39;weight&#39;</span><span class="p">])):</span>

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