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AG-Compute-public
deep-learning-with-gpu-cores
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bb3e91b9
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bb3e91b9
authored
8 months ago
by
Hauke Kirchner
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Update submit_train_dlc.sh
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#!/bin/bash
#!/bin/bash
#SBATCH --job-name=train-nn-gpu-dlc
#SBATCH --job-name=train-nn-gpu-dlc
#SBATCH -t 00:20:00 # estimated time # TODO: adapt to your needs
#SBATCH -t 00:20:00 # estimated time # TODO: adapt to your needs
#SBATCH -p
grete:shared
# the partition you are training on (i.e., which nodes), for nodes see sinfo -
p grete:shared --format=%N,%G
#SBATCH -p
kisski
# the partition you are training on (i.e., which nodes), for nodes see sinfo -
o "%25N %5c %10m %32f %10G %18P " | grep gpu
#SBATCH -G A100:1 # take 1 GPU, see https://www.hlrn.de/doc/display/PUB/GPU+Usage for more options
#SBATCH -G A100:1 # take 1 GPU, see https://www.hlrn.de/doc/display/PUB/GPU+Usage for more options
#SBATCH --mem-per-gpu=5G # setting the right constraints for the splitted gpu partitions
#SBATCH --mem-per-gpu=5G # setting the right constraints for the splitted gpu partitions
#SBATCH --nodes=1 # total number of nodes
#SBATCH --nodes=1 # total number of nodes
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