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2019-10-25 11:17:21,594 - DEBUG - Exiting ...
</pre>During the execution of the test application, the status of the processes and the ARM cores was observed with the help of htop tool. By default, the scaling governor is set to interactive:
During the execution of the test application, the status of the processes and the ARM cores was observed with the help of the <code>htop</code> tool. By default, the scaling governor is set to interactive:
<pre class="board-terminal">
root@sbcx:~# cat /sys/devices/system/cpu/cpu0/cpufreq/scaling_governor
interactive
</pre>
Therefore, during the execution of the program, the cores' frequency was scaled to 1 GHz as expected.
At first glance, it seemed that the TensorFlow platform does not exploit the available cores to implement a significant parallel computing. To verify this guessing, the test was repeated by limiting the number of cores. The results are listed in the following table.
{| class="wikitable"
|2.5
|}
As shown, the prediction time doesn't change significantly to with increasing of the number of cores. This should confirm TensorFlow computing engine doesn't implement a parallel computing engine on this architecture.
