ConvPoint
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larger batch size increases training time?
greeting, I have tried to increase the batch size for semantic3D from 16 to 64 as I thought it will decrease the training time .However, I got the opposite: the training time was increased respectevly with the batch size increase. I am actually confused is there an explanation for this?
Hello, Sorry for late response, is your question still valid ? Part of the computation is done on CPU (nearest neighbor search essentially), it could be due to cpu/memory lagging.