UnIVAL / slurm_adastra /vqa /eval /video /eval_video_qa.sh
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#!/bin/bash
#SBATCH --job-name=eval_video_vqa_ofa_base_pretrain_s2_long_lr1e4_50ep_nolsdata_hs
#SBATCH --nodes=2
#SBATCH --ntasks=2
#SBATCH --gpus=16
#SBATCH --threads-per-core=2
#SBATCH --gpu-bind=closest
#SBATCH -C MI250
#SBATCH -A gda2204
#SBATCH --time=1:00:00
#SBATCH --mail-type=END,FAIL
#SBATCH --output=/lus/home/NAT/gda2204/mshukor/logs/slurm/eval_video_vqa_ofa_base_pretrain_s2_long_lr1e4_50ep_nolsdata_hs_prevout.out
#SBATCH --exclusive
#SBATCH [email protected]
cd /lus/home/NAT/gda2204/mshukor/code/ofa_ours/run_scripts
source /lus/home/NAT/gda2204/mshukor/.bashrc
conda activate main
rm core-python3*
srun -l -N 2 -n 2 -c 128 --gpus=16 bash vqa/eval/video/eval_video_qa.sh