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<span class="kn">from</span> <span class="nn">torch._ops</span> <span class="kn">import</span> <span class="n">ops</span>
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<span class="kn">from</span> <span class="nn">torch._classes</span> <span class="kn">import</span> <span class="n">classes</span>
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<span class="c1"># Import from torch._decomp import decompositions_for_jvp to register</span>
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<span class="c1"># if python is run with -OO or -O flags (i.e., __debug__ is False), we encounter the</span>
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<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;PYTORCH_DISABLE_LIBRARY&#39;</span><span class="p">,</span> <span class="s2">&quot;0&quot;</span><span class="p">)</span> <span class="o">==</span> <span class="s2">&quot;0&quot;</span><span class="p">):</span>
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<span class="c1"># Import quantization</span>
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<span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">quantization</span> <span class="k">as</span> <span class="n">quantization</span>

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<span class="sd">Fused version of `default_weight_fake_quant`, with the 8-bit values restricted to [-127, +127], excluding -128.</span>
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<span class="n">fused_per_channel_wt_fake_quant_range_neg_127_to_127</span> <span class="o">=</span> <span class="n">FusedMovingAvgObsFakeQuantize</span><span class="o">.</span><span class="n">with_args</span><span class="p">(</span><span class="n">observer</span><span class="o">=</span><span class="n">MovingAverageMinMaxObserver</span><span class="p">,</span>
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<span class="n">quant_min</span><span class="o">=-</span><span class="mi">127</span><span class="p">,</span>
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<span class="n">quant_max</span><span class="o">=</span><span class="mi">127</span><span class="p">,</span>
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<span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">qint8</span><span class="p">,</span>
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<span class="n">qscheme</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">per_channel_symmetric</span><span class="p">,</span>
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<span class="n">eps</span><span class="o">=</span><span class="mi">2</span> <span class="o">**</span> <span class="o">-</span><span class="mi">12</span><span class="p">)</span>
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<span class="n">fused_per_channel_wt_fake_quant_range_neg_127_to_127</span> <span class="o">=</span> \
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<span class="n">FusedMovingAvgObsFakeQuantize</span><span class="o">.</span><span class="n">with_args</span><span class="p">(</span><span class="n">observer</span><span class="o">=</span><span class="n">MovingAveragePerChannelMinMaxObserver</span><span class="p">,</span>
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<span class="n">quant_min</span><span class="o">=-</span><span class="mi">127</span><span class="p">,</span>
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<span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">qint8</span><span class="p">,</span>
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<span class="n">qscheme</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">per_channel_symmetric</span><span class="p">,</span>
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<span class="n">eps</span><span class="o">=</span><span class="mi">2</span> <span class="o">**</span> <span class="o">-</span><span class="mi">12</span><span class="p">)</span>
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<span class="sd">&quot;&quot;&quot;</span>
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<span class="sd">Fused version of `default_per_channel_weight_fake_quant`, with the 8-bit values restricted to [-127, +127], excluding -128.</span>
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