| # | |
| # Infers log likelihoods from UniRep LSTM models | |
| # | |
| #SBATCH --cluster=<clustername> | |
| #SBATCH --partition=<partitionname> | |
| #SBATCH --account=<accountname> | |
| #SBATCH --job-name=unirep_inf | |
| #SBATCH --output=logs/unirep_inf.out | |
| #SBATCH --gres=gpu:0 # Number of GPU(s) per node. | |
| #SBATCH --cpus-per-task=2 # CPU cores/threads | |
| #SBATCH --mem=128000M # memory per node | |
| #SBATCH --time=0-24:00 # Max time (DD-HH:MM) | |
| #SBATCH --ntasks=1 # Only set to >1 if you want to use multi-threading | |
| export OMP_NUM_THREADS=$SLURM_CPUS_PER_TASK | |
| model_path=$1 | |
| data_path=$2 | |
| output_dir=$3 | |
| flags=$4 | |
| python src/unirep_inference.py $model_path $data_path $output_dir $flags --batch_size 32 | |