CUDA ERROR OUT OF MEMORY

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은석 최 2022-7-28

回答： Nihal Reddy 2022-10-7

CUDA_ERROR_OUT_OF_MEMORY occurred in the process of following the example below.

No changes have been made in the example.

The GPUs used are GeForce RTX 3060 VRAM 12GB and 32GB RAM.

I wonder if my equipment is insufficient or if I need to adjust the options.

은석 최 2022-7-28

Thank you for your advice! I set the mini-batch size to 2, so it's resolved.

Jan 2022-7-28

By the way: This is not tiwtter - no # before the tags. "error" is not useful as a tag.

Nihal Reddy 2022-10-7

It looks like a memory issue. Please try resetting your device using the command-

(reset(gpuDevice))

then put a breakpoint before the call to “yolov4ObjectDetector” function and check the available memory.

If the error persists, then check the size of input data and change the mini batch size accordingly to the memory available.

You can also query or select a GPU device using “gpuDevice” function.

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