Problem running Tensorflow in Jetson nano

I’m trying to load a python software of object detection into my jetson nano. But when the aplication is loading I get this:

“(©) Resource exhausted: 00M when allocating tensor with shape[l,64,239,512] and type float on /job: localhost/replica:0/task:0/device:GPU:0 by allocator GPU O bfc
[lf{nodeFirstStageFeatureExtractor/InceptionV2/InceptionV2/Conv2dla7x7/separableconv2d}7]1
Hint: If you want to see a list of allocated tensors when 00M happens, add report tensor allocations upon oom to RunOptions for current allocation info.”

How to fix it?
Since now, thank you sou much for your attention.

Hi,

OOM indicates that you are running out of memory.

This is a hardware limitation.
So you will need to use a more lightweight model or switch to a device with larger memory.

Thanks.

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.