32 lines
1.3 KiB
Bash
Executable File
32 lines
1.3 KiB
Bash
Executable File
#!/usr/bin/env bash
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# test this timing, it scales with result sizes
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#SBATCH --time=12:00:00
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#SBATCH --partition=cpu
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# 30 Runs * 9 Experiments * 3 Datasets
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#SBATCH --array=0-809
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# ensure output exists, is a folder and is writable in your working directory
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#SBATCH --output=./output/output_run_%a.txt
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#SBATCH --error=./output/error_run_%a.txt
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# exclude nodes with weaker CPUs
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#SBATCH --exclude=oc222
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# test memory usage, it scales **Exponentially** with max Depth. Implement some countermeasures if that's a problem, e.g. raise max depth over time.
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#SBATCH --mem=6G
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#SBATCH --nodes=1
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# list your branches
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problems=("iris" "nurse" "german")
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# 30 Runs * 9 Experiments
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current_problem=${problems[(${SLURM_ARRAY_TASK_ID}/270)]}
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# 30 Runs, 9 Experiments
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current_variant=$(((${SLURM_ARRAY_TASK_ID} / 30) % 9 + 1))
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current_branch="${current_problem}_${current_variant}"
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# ensure [full path to writable folder on node *] exists
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git clone -b $current_branch --single-branch "[your git repo]" [full path to writable folder on node 1]/$current_branch
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git clone -b $current_branch --single-branch "[your git repo]" [full path to writable folder on node 2]/$current_branch
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#... for every node
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srun bash -c "cd /data/$SLURMD_NODENAME/merljoha/$current_branch; nix develop --command stack --no-nix --system-ghc --no-install-ghc run haga-lambda"
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