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Run the causality.py in slurm to process the results faster

valapil 2 years ago
parent
commit
076ddf790b
1 changed files with 25 additions and 0 deletions
  1. 25 0
      slurm.sh

+ 25 - 0
slurm.sh

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+#!/usr/bin/env bash
+
+#SBATCH --job-name=causal
+#SBATCH --time=20:00:00
+#SBATCH --nodes=1
+#SBATCH --cpus-per-task=8
+#SBATCH --mem-per-cpu=4G
+#SBATCH --output=logs/std_out/%j.log
+#SBATCH --error=logs/std_err/%j.log
+
+
+cd /home/valapil/Project/ForkCausal_Adithya
+
+# setup conda
+_conda=${HOME}/anaconda3
+source ${_conda}/etc/profile.d/conda.sh
+conda activate ${CONDA_ENV:-base}
+
+echo "HERE: $(hostname) | WD: $(pwd) | python: $(which python)"
+echo "SLURM_JOB_ID: ${SLURM_JOB_ID} | SLURM_JOB_NAME: ${SLURM_JOB_NAME} | SLURM_JOB_NODELIST: ${SLURM_JOB_NODELIST}"
+echo "SLURM_CPUS_PER_TASK: ${SLURM_CPUS_PER_TASK} | SLURM_MEM_PER_CPU: ${SLURM_MEM_PER_CPU}"
+echo "ARGS:"
+echo $@
+
+python 06_causality.py $@