Closed Junhojuno closed 2 years ago
I trained CSTrack on 2080 Ti with batch_size = 8 or 10 and input_size = (1088,608). If you train CSTrack on 1 GPU (2060 memory is 6G), you can only set the batch_size = 2,4 with the input_size = (1088,608), alternatively reduce the input_size to (640,480) or smaller.
thanks a lot! It should be considered more.
Now, I keep trying to train a CSTrack model. I set the
batch_size=2,4,6,8
andinput_size=640
but, I can't train it because of CUDA out of memory error. only a setting(batch_size=1
andinput_size=640
) operated well... (mainly, CUDA out of error, my computer is set to 2060 super * 2, and used to train on only 1 GPU)I don't know exactly what is wrong..
I think the CSTrack model is trained on 2080TI with
batch_size=8 or 10
andinput_size=640
.is it right..?!