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- Tensorflow Lite 2.2.0 NNAPI memory reak in L5.4.47_2.2.0
Tensorflow Lite 2.2.0 NNAPI memory reak in L5.4.47_2.2.0
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Tensorflow Lite 2.2.0 NNAPI memory reak in L5.4.47_2.2.0
03-31-2023
01:31 AM
2,586 Views
hsaito
Contributor I
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Operating environment is i.mx8qm, using L5.4.47_2.2.0.
We modified label_image.py to check the operation of sensorflow Lite 2.2.0, which uses NNAPI.
The fix is to call Invoke() process continuously.(I have pasted the modified program label_image.py.)
My goal is to use camera footage to perform inference processing, but will using NNAPI cause memory leaks?
Is there any way to improve it?
The starting memory usage is shown in before.png and the memory usage after about an hour is shown in after.png.
2 Replies
04-04-2023
01:34 AM
2,559 Views
Rita_Wang
NXP TechSupport
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Are you using NXP i.MX8QM reference board?
04-04-2023
03:44 AM
2,558 Views
hsaito
Contributor I
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This result is our original board.
However, the memory usage continues to increase even when I run it on the evaluation board.
