pycaffe - Making sure if Caffe is using multiple-GPUs -


i new using training neural networks. have access gpu cluster , fine-tuning version of alex-net scene classification.

i have access 2 gpus right , want use both of them training. nvidia-smi command gives me id of gpus (which 0 , 1).

this how training use both of gpus:
caffe.set_mode_gpu()
caffe.set_device([0,1])

is right way use it?

python allows choose single gpu using set_device(). multi-gpu supported on c++ interface. --gpu flag used purpose discussed here. gpus used training can set --gpu flag on command line caffe tool. example, 

build/tools/caffe train --solver=models/bvlc_alexnet/solver.prototxt --gpu=0,1

will train on gpus 0 , 1.


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