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Tambet Matiisen
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Feb 2, 2015
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#!/bin/bash | ||
#SBATCH --partition=long | ||
#SBATCH --ntasks-per-node 10 | ||
#SBATCH --cpus-per-task 2 | ||
#SBATCH --mem 4096 | ||
#SBATCH --time=100:00:00 | ||
#SBATCH --mail-type=end | ||
#SBATCH [email protected] | ||
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srun -l -n 9 ./wrapper1.sh 3000 |
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function experiment1(i, n) | ||
p = { | ||
0.05, 0.9, 0.01, 0, [256 256], 32; | ||
0.1, 0.9, 0.01, 0, [256 256], 32; | ||
0.01, 0.9, 0.01, 0, [256 256], 32; | ||
0.05, 0.9, 0.001, 0, [256 256], 32; | ||
0.05, 0.9, 0.01, 0.9, [256 256], 32; | ||
0.05, 0.9, 0.01, 0, [256], 32; | ||
0.05, 0.9, 0.01, 0, [100 100], 32; | ||
0.05, 0.9, 0.01, 0, [512 512], 32; | ||
0.05, 0.9, 0.01, 0, [256 256], 128; | ||
}; | ||
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addpath(genpath('DeepLearnToolbox')); | ||
rng('shuffle'); | ||
a = NNAgent(p{i,1}, p{i,2}, p{i,3}, p{i,4}, p{i,5}, p{i,6}); | ||
results = a.play(n); | ||
save(['results' num2str(i) '.mat']); | ||
quit; | ||
end |
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#!/bin/bash | ||
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/storage/software/MATLAB_R2013b/bin/matlab -nodisplay -nosplash -nojvm -r "experiment1($(($SLURM_PROCID + 1)),$1)" |