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Table Of Contents

提示说明

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AI 加速卡

multiple_tpus_performance_analysis.cc:108] Model name:

mobilenet_v1_1.0_224_quant_edgetpu.tite

multiple_tpus_performance_analysis.cc:82] Single Edge TPU base

time 69760.4 seconds.

multiple_tpus_performance_analysis.cc:84] # TPUs: speedup:

1.99319

multiple_tpus_performance_analysis.cc:84] # TPUs: speedup:

2.9895

multiple_tpus_performance_analysis.cc:84] # TPUs: speedup:

3.94866

multiple_tpus_performance_analysis.cc:84] # TPUs: speedup:

4.89411

multiple_tpus_performance_analysis.cc:84] # TPUs: speedup:

5.77968

multiple_tpus_performance_analysis.cc:84] # TPUs: speedup:

6.66029

3. 您可以通過“Pass or Fail log＂檢查測試結果。

2.3 開始多個 Edge TPU 測試

1. 從 github 克隆 Google 的 "edgetpu" 源代碼。

$ git clone https://github.com/google-coral/edgetpu

$ cd edgetpu/benchmarks

$ python3 multiple_tpus_performance_analysis.py

2. 打開 "edgetpu" 文件夾，然後輸入以下命令以測試多個 Edge TPU：