Closed Yurri-hub closed 1 year ago
Hi @Yurri-hub, yes, you can specify multigpu: True
in train config or --multigpu
in command line when running python train.py
. The indices of the GPUs used can be specified via CUDA_VISIBLE_DEVICES="0,1,5" python train.py ...
, where indices should be specified instead of "0,1,5". Also make sure to set the batch_size
accordingly in order to avoid memory issues.
Thank you for your reply. It helps a lot.
I try to train a large-scale scene with large number of point clouds. But I received a CUDA out of memory error at the start of training.
Is there any way to train the model on Multi-GPUs?