Comments (1)
yes, form the command line, you would do something like this caffe train -solver solver.prototxt -gpu 0,1 where 0 and 1 are the IDs of the GPUs you want to use. You can also just replace 0,1 with the word 'all' and Caffe will make use of all of the GPUs in your system.
from caffe-segnet.
Related Issues (20)
- About Run In C++
- Separate input concatenation in segnet
- Caffe2 caffe-segnet HOT 2
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- Reducing the noise in a image
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- Hey - it doesn't make sense to train segnet on a single class. In this situation, segnet will simply learn to predict every pixel as this class, and you will see loss=0. HOT 1
- Help for implementing SegNet for predicting Single class
- Check failed: error == cudaSuccess (77 vs. 0) an illegal memory access was encountered HOT 2
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from caffe-segnet.