slurm_eval

#!/bin/bash
#SBATCH --job-name=yolo_eval             # Job name
#SBATCH --output=cluster_out/eval_contr.%A_%a.txt   # Standard output and error log
#SBATCH --nodes=1                   # Run all processes on a single node    
#SBATCH --ntasks=1                  # Run on a single CPU
#SBATCH --mem=40G                   # Total RAM to be used
#SBATCH --cpus-per-task=24          # Number of CPU cores
#SBATCH --gres=gpu:1                # Number of GPUs (per node)
#SBATCH -p gpu                      # Use the gpu partition
#SBATCH --time=12:00:00             # Specify the time needed for your experiment
#SBATCH --qos=gpu-8                 # To enable the use of up to 8 GPUs
#SBATCH --exclude=gpu-13

hostname
/home/jameel.hassan/.conda/envs/yolo/bin/python validate.py --checkpoint runs/detect/v8s-contr_logit2/isaid_contr_momen_valStatCalib_0.2queue50_emaIters100_70epochs_mosaic1.0_closemosaic10/weights/best.pt