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‎main/en/module_usage/instructions/benchmark.html

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@@ -4253,21 +4253,21 @@ <h1 id="benchmark">模型推理 Benchmark<a class="headerlink" href="#benchmark"
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</span></code></pre></div>
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<p>在 Benchmark 结果中，会统计该模型全部组件（<code>Component</code>）的总耗时（<code>Total Time</code>，单位为“毫秒”）、<strong>调用次数</strong>（<code>Number of Calls</code>）、<strong>调用**平均执行耗时（<code>Avg Time Per Call</code>，单位“毫秒”），以及按预热（<code>WarmUp</code>）、预处理（<code>PreProcess</code>）、模型推理（<code>Inference</code>）、后处理（<code>PostProcess</code>）和端到端（<code>End2End</code>）进行划分的耗时统计，包括每个阶段的总耗时（<code>Total Time</code>，单位为“毫秒”）、**样本数</strong>（<code>Number of Instances</code>）和**单样本**平均执行耗时（<code>Avg Time Per Instance</code>，单位“毫秒”），同时，上述指标会保存到到本地： <code>./benchmark/detail.csv</code> 和 <code>./benchmark/summary.csv</code>：</p>
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<div class="language-text highlight"><pre><span></span><code><span id="__span-2-1"><a id="__codelineno-2-1" name="__codelineno-2-1" href="#__codelineno-2-1"></a>Component,Total Time (ms),Number of Calls,Avg Time Per Call (ms)
4256-
</span><span id="__span-2-2"><a id="__codelineno-2-2" name="__codelineno-2-2" href="#__codelineno-2-2"></a>ReadCmp,0.10199093818664551,10,0.01019909381866455
4257-
</span><span id="__span-2-3"><a id="__codelineno-2-3" name="__codelineno-2-3" href="#__codelineno-2-3"></a>Resize,0.011309385299682617,20,0.0005654692649841309
4258-
</span><span id="__span-2-4"><a id="__codelineno-2-4" name="__codelineno-2-4" href="#__codelineno-2-4"></a>Normalize,0.035140275955200195,20,0.0017570137977600097
4259-
</span><span id="__span-2-5"><a id="__codelineno-2-5" name="__codelineno-2-5" href="#__codelineno-2-5"></a>ToCHWImage,4.744529724121094e-05,20,2.3722648620605467e-06
4260-
</span><span id="__span-2-6"><a id="__codelineno-2-6" name="__codelineno-2-6" href="#__codelineno-2-6"></a>Copy2GPU,0.00861215591430664,10,0.000861215591430664
4261-
</span><span id="__span-2-7"><a id="__codelineno-2-7" name="__codelineno-2-7" href="#__codelineno-2-7"></a>Infer,0.820899248123169,10,0.08208992481231689
4262-
</span><span id="__span-2-8"><a id="__codelineno-2-8" name="__codelineno-2-8" href="#__codelineno-2-8"></a>Copy2CPU,0.006002187728881836,10,0.0006002187728881836
4263-
</span><span id="__span-2-9"><a id="__codelineno-2-9" name="__codelineno-2-9" href="#__codelineno-2-9"></a>DetPostProcess,0.0004436969757080078,20,2.218484878540039e-05
4256+
</span><span id="__span-2-2"><a id="__codelineno-2-2" name="__codelineno-2-2" href="#__codelineno-2-2"></a>ReadCmp,100.20136833190918,10,10.020136833190918
4257+
</span><span id="__span-2-3"><a id="__codelineno-2-3" name="__codelineno-2-3" href="#__codelineno-2-3"></a>Resize,17.059803009033203,20,0.8529901504516602
4258+
</span><span id="__span-2-4"><a id="__codelineno-2-4" name="__codelineno-2-4" href="#__codelineno-2-4"></a>Normalize,45.44949531555176,20,2.272474765777588
4259+
</span><span id="__span-2-5"><a id="__codelineno-2-5" name="__codelineno-2-5" href="#__codelineno-2-5"></a>ToCHWImage,0.036716461181640625,20,0.0018358230590820312
4260+
</span><span id="__span-2-6"><a id="__codelineno-2-6" name="__codelineno-2-6" href="#__codelineno-2-6"></a>Copy2GPU,12.28785514831543,10,1.228785514831543
4261+
</span><span id="__span-2-7"><a id="__codelineno-2-7" name="__codelineno-2-7" href="#__codelineno-2-7"></a>Infer,76.59482955932617,10,7.659482955932617
4262+
</span><span id="__span-2-8"><a id="__codelineno-2-8" name="__codelineno-2-8" href="#__codelineno-2-8"></a>Copy2CPU,0.3986358642578125,10,0.03986358642578125
4263+
</span><span id="__span-2-9"><a id="__codelineno-2-9" name="__codelineno-2-9" href="#__codelineno-2-9"></a>DetPostProcess,0.4391670227050781,20,0.021958351135253906
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</span></code></pre></div>
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<div class="language-text highlight"><pre><span></span><code><span id="__span-3-1"><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a>Stage,Total Time (ms),Number of Instance,Avg Time Per Instance (ms)
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</span><span id="__span-3-2"><a id="__codelineno-3-2" name="__codelineno-3-2" href="#__codelineno-3-2"></a>PreProcess,0.14848804473876953,20,0.007424402236938477
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</span><span id="__span-3-3"><a id="__codelineno-3-3" name="__codelineno-3-3" href="#__codelineno-3-3"></a>Inference,0.8355135917663574,20,0.04177567958831787
4268-
</span><span id="__span-3-4"><a id="__codelineno-3-4" name="__codelineno-3-4" href="#__codelineno-3-4"></a>PostProcess,0.0004436969757080078,20,2.218484878540039e-05
4269-
</span><span id="__span-3-5"><a id="__codelineno-3-5" name="__codelineno-3-5" href="#__codelineno-3-5"></a>End2End,1.0054960250854492,20,0.05027480125427246
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</span><span id="__span-3-6"><a id="__codelineno-3-6" name="__codelineno-3-6" href="#__codelineno-3-6"></a>WarmUp,8.869974851608276,5,1.7739949703216553
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<div class="language-text highlight"><pre><span></span><code><span id="__span-3-1"><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a>Stage,Total Time (ms),Number of Instances,Avg Time Per Instance (ms)
4266+
</span><span id="__span-3-2"><a id="__codelineno-3-2" name="__codelineno-3-2" href="#__codelineno-3-2"></a>PreProcess,162.74738311767578,20,8.137369155883789
4267+
</span><span id="__span-3-3"><a id="__codelineno-3-3" name="__codelineno-3-3" href="#__codelineno-3-3"></a>Inference,89.28132057189941,20,4.464066028594971
4268+
</span><span id="__span-3-4"><a id="__codelineno-3-4" name="__codelineno-3-4" href="#__codelineno-3-4"></a>PostProcess,0.4391670227050781,20,0.021958351135253906
4269+
</span><span id="__span-3-5"><a id="__codelineno-3-5" name="__codelineno-3-5" href="#__codelineno-3-5"></a>End2End,0.279926061630249,20,0.013996303081512451
4270+
</span><span id="__span-3-6"><a id="__codelineno-3-6" name="__codelineno-3-6" href="#__codelineno-3-6"></a>WarmUp,5.375627279281616,5,1.0751254558563232
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</span></code></pre></div>
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‎main/module_usage/instructions/benchmark.html

Lines changed: 14 additions & 14 deletions
Original file line numberDiff line numberDiff line change
@@ -4253,21 +4253,21 @@ <h1 id="benchmark">模型推理 Benchmark<a class="headerlink" href="#benchmark"
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</span></code></pre></div>
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<p>在 Benchmark 结果中，会统计该模型全部组件（<code>Component</code>）的总耗时（<code>Total Time</code>，单位为“毫秒”）、<strong>调用次数</strong>（<code>Number of Calls</code>）、<strong>调用**平均执行耗时（<code>Avg Time Per Call</code>，单位“毫秒”），以及按预热（<code>WarmUp</code>）、预处理（<code>PreProcess</code>）、模型推理（<code>Inference</code>）、后处理（<code>PostProcess</code>）和端到端（<code>End2End</code>）进行划分的耗时统计，包括每个阶段的总耗时（<code>Total Time</code>，单位为“毫秒”）、**样本数</strong>（<code>Number of Instances</code>）和**单样本**平均执行耗时（<code>Avg Time Per Instance</code>，单位“毫秒”），同时，上述指标会保存到到本地： <code>./benchmark/detail.csv</code> 和 <code>./benchmark/summary.csv</code>：</p>
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<div class="language-text highlight"><pre><span></span><code><span id="__span-2-1"><a id="__codelineno-2-1" name="__codelineno-2-1" href="#__codelineno-2-1"></a>Component,Total Time (ms),Number of Calls,Avg Time Per Call (ms)
4256-
</span><span id="__span-2-2"><a id="__codelineno-2-2" name="__codelineno-2-2" href="#__codelineno-2-2"></a>ReadCmp,0.10199093818664551,10,0.01019909381866455
4257-
</span><span id="__span-2-3"><a id="__codelineno-2-3" name="__codelineno-2-3" href="#__codelineno-2-3"></a>Resize,0.011309385299682617,20,0.0005654692649841309
4258-
</span><span id="__span-2-4"><a id="__codelineno-2-4" name="__codelineno-2-4" href="#__codelineno-2-4"></a>Normalize,0.035140275955200195,20,0.0017570137977600097
4259-
</span><span id="__span-2-5"><a id="__codelineno-2-5" name="__codelineno-2-5" href="#__codelineno-2-5"></a>ToCHWImage,4.744529724121094e-05,20,2.3722648620605467e-06
4260-
</span><span id="__span-2-6"><a id="__codelineno-2-6" name="__codelineno-2-6" href="#__codelineno-2-6"></a>Copy2GPU,0.00861215591430664,10,0.000861215591430664
4261-
</span><span id="__span-2-7"><a id="__codelineno-2-7" name="__codelineno-2-7" href="#__codelineno-2-7"></a>Infer,0.820899248123169,10,0.08208992481231689
4262-
</span><span id="__span-2-8"><a id="__codelineno-2-8" name="__codelineno-2-8" href="#__codelineno-2-8"></a>Copy2CPU,0.006002187728881836,10,0.0006002187728881836
4263-
</span><span id="__span-2-9"><a id="__codelineno-2-9" name="__codelineno-2-9" href="#__codelineno-2-9"></a>DetPostProcess,0.0004436969757080078,20,2.218484878540039e-05
4256+
</span><span id="__span-2-2"><a id="__codelineno-2-2" name="__codelineno-2-2" href="#__codelineno-2-2"></a>ReadCmp,100.20136833190918,10,10.020136833190918
4257+
</span><span id="__span-2-3"><a id="__codelineno-2-3" name="__codelineno-2-3" href="#__codelineno-2-3"></a>Resize,17.059803009033203,20,0.8529901504516602
4258+
</span><span id="__span-2-4"><a id="__codelineno-2-4" name="__codelineno-2-4" href="#__codelineno-2-4"></a>Normalize,45.44949531555176,20,2.272474765777588
4259+
</span><span id="__span-2-5"><a id="__codelineno-2-5" name="__codelineno-2-5" href="#__codelineno-2-5"></a>ToCHWImage,0.036716461181640625,20,0.0018358230590820312
4260+
</span><span id="__span-2-6"><a id="__codelineno-2-6" name="__codelineno-2-6" href="#__codelineno-2-6"></a>Copy2GPU,12.28785514831543,10,1.228785514831543
4261+
</span><span id="__span-2-7"><a id="__codelineno-2-7" name="__codelineno-2-7" href="#__codelineno-2-7"></a>Infer,76.59482955932617,10,7.659482955932617
4262+
</span><span id="__span-2-8"><a id="__codelineno-2-8" name="__codelineno-2-8" href="#__codelineno-2-8"></a>Copy2CPU,0.3986358642578125,10,0.03986358642578125
4263+
</span><span id="__span-2-9"><a id="__codelineno-2-9" name="__codelineno-2-9" href="#__codelineno-2-9"></a>DetPostProcess,0.4391670227050781,20,0.021958351135253906
42644264
</span></code></pre></div>
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<div class="language-text highlight"><pre><span></span><code><span id="__span-3-1"><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a>Stage,Total Time (ms),Number of Instance,Avg Time Per Instance (ms)
4266-
</span><span id="__span-3-2"><a id="__codelineno-3-2" name="__codelineno-3-2" href="#__codelineno-3-2"></a>PreProcess,0.14848804473876953,20,0.007424402236938477
4267-
</span><span id="__span-3-3"><a id="__codelineno-3-3" name="__codelineno-3-3" href="#__codelineno-3-3"></a>Inference,0.8355135917663574,20,0.04177567958831787
4268-
</span><span id="__span-3-4"><a id="__codelineno-3-4" name="__codelineno-3-4" href="#__codelineno-3-4"></a>PostProcess,0.0004436969757080078,20,2.218484878540039e-05
4269-
</span><span id="__span-3-5"><a id="__codelineno-3-5" name="__codelineno-3-5" href="#__codelineno-3-5"></a>End2End,1.0054960250854492,20,0.05027480125427246
4270-
</span><span id="__span-3-6"><a id="__codelineno-3-6" name="__codelineno-3-6" href="#__codelineno-3-6"></a>WarmUp,8.869974851608276,5,1.7739949703216553
4265+
<div class="language-text highlight"><pre><span></span><code><span id="__span-3-1"><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a>Stage,Total Time (ms),Number of Instances,Avg Time Per Instance (ms)
4266+
</span><span id="__span-3-2"><a id="__codelineno-3-2" name="__codelineno-3-2" href="#__codelineno-3-2"></a>PreProcess,162.74738311767578,20,8.137369155883789
4267+
</span><span id="__span-3-3"><a id="__codelineno-3-3" name="__codelineno-3-3" href="#__codelineno-3-3"></a>Inference,89.28132057189941,20,4.464066028594971
4268+
</span><span id="__span-3-4"><a id="__codelineno-3-4" name="__codelineno-3-4" href="#__codelineno-3-4"></a>PostProcess,0.4391670227050781,20,0.021958351135253906
4269+
</span><span id="__span-3-5"><a id="__codelineno-3-5" name="__codelineno-3-5" href="#__codelineno-3-5"></a>End2End,0.279926061630249,20,0.013996303081512451
4270+
</span><span id="__span-3-6"><a id="__codelineno-3-6" name="__codelineno-3-6" href="#__codelineno-3-6"></a>WarmUp,5.375627279281616,5,1.0751254558563232
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</span></code></pre></div>
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‎main/search/search_index.js

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‎main/search/search_index.json

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