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nvidia.com
Calling cuda() consumes all the RAM memory
Hi guys, I observed a very strange phenomenon on my jetson nano board. Sending data to the GPU by calling .cuda() consumes all memory, no matter how small the amount of data sent is. Jetpack is 4.5.1, pytorch is 1.8/1.7. I have added an example video to the attachment. I am new to Jetson, how can I solve this issue? Thanks!
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