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main/CHANGLOG.html

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</span><span id="__span-1-2"><a id="__codelineno-1-2" name="__codelineno-1-2" href="#__codelineno-1-2"></a>| Component | Total Time (ms) | Number of Calls | Avg Time Per Call (ms) |
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</span><span id="__span-1-4"><a id="__codelineno-1-4" name="__codelineno-1-4" href="#__codelineno-1-4"></a>| ReadCmp | 102.39458084 | 10 | 10.23945808 |
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</span><span id="__span-1-5"><a id="__codelineno-1-5" name="__codelineno-1-5" href="#__codelineno-1-5"></a>| Resize | 11.20400429 | 20 | 0.56020021 |
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</span><span id="__span-1-6"><a id="__codelineno-1-6" name="__codelineno-1-6" href="#__codelineno-1-6"></a>| Normalize | 34.11078453 | 20 | 1.70553923 |
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</span><span id="__span-1-5"><a id="__codelineno-1-5" name="__codelineno-1-5" href="#__codelineno-1-5"></a>| Resize | 17.05980301 | 20 | 0.85299015 |
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</span><span id="__span-1-6"><a id="__codelineno-1-6" name="__codelineno-1-6" href="#__codelineno-1-6"></a>| Normalize | 45.44949532 | 20 | 2.27247477 |
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</span><span id="__span-1-9"><a id="__codelineno-1-9" name="__codelineno-1-9" href="#__codelineno-1-9"></a>| Infer | 76.59482956 | 10 | 7.65948296 |
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</span><span id="__span-1-10"><a id="__codelineno-1-10" name="__codelineno-1-10" href="#__codelineno-1-10"></a>| Copy2CPU | 0.39863586 | 10 | 0.03986359 |
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</span><span id="__span-1-12"><a id="__codelineno-1-12" name="__codelineno-1-12" href="#__codelineno-1-12"></a>+----------------+-----------------+-----------------+------------------------+
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</span><span id="__span-1-14"><a id="__codelineno-1-14" name="__codelineno-1-14" href="#__codelineno-1-14"></a>| Stage | Total Time (ms) | Number of Instances | Avg Time Per Instance (ms) |
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</span><span id="__span-1-17"><a id="__codelineno-1-17" name="__codelineno-1-17" href="#__codelineno-1-17"></a>| Inference | 121.63639069 | 20 | 6.08181953 |
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</span><span id="__span-1-18"><a id="__codelineno-1-18" name="__codelineno-1-18" href="#__codelineno-1-18"></a>| PostProcess | 0.45251846 | 20 | 0.02262592 |
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</span><span id="__span-1-19"><a id="__codelineno-1-19" name="__codelineno-1-19" href="#__codelineno-1-19"></a>| End2End | 294.03519630 | 20 | 14.70175982 |
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</span><span id="__span-1-20"><a id="__codelineno-1-20" name="__codelineno-1-20" href="#__codelineno-1-20"></a>| WarmUp | 7937.82591820 | 5 | 1587.56518364 |
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</span><span id="__span-1-17"><a id="__codelineno-1-17" name="__codelineno-1-17" href="#__codelineno-1-17"></a>| Inference | 89.28132057 | 20 | 4.46406603 |
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</span><span id="__span-1-19"><a id="__codelineno-1-19" name="__codelineno-1-19" href="#__codelineno-1-19"></a>| End2End | 0.27992606 | 20 | 0.01399630 |
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</span><span id="__span-1-20"><a id="__codelineno-1-20" name="__codelineno-1-20" href="#__codelineno-1-20"></a>| WarmUp | 5.37562728 | 5 | 1.07512546 |
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</span><span id="__span-1-21"><a id="__codelineno-1-21" name="__codelineno-1-21" href="#__codelineno-1-21"></a>+-------------+-----------------+---------------------+----------------------------+
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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><code>./benchmark/summary.csv</code></p>
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