#SBATCH --job-name=caption-test | |
#SBATCH --partition=a4000 | |
#SBATCH --gres=gpu:1 # GPU ��� | |
#SBATCH --time=10-04:30:00 # �ִ� ���� �ð� (10�� 4�ð� 30��) | |
#SBATCH --mem=10G # �� (10GB) | |
#SBATCH --cpus-per-task=4 # CPU �ھ� �� | |
#SBATCH --output=logs/gpt_ref-ytvos_numbered_cy_sanity.log # ��� �α� ���� ��� | |
# ȯ�� ���� | |
ml purge | |
ml load cuda/11.8 | |
eval "$(conda shell.bash hook)" | |
conda activate risall | |
# Python ��ũ��Ʈ ���� | |
python ./mbench/gpt_ref-ytvos_numbered_cy_sanity_2.py --save_caption_path "mbench/numbered_captions_gpt-4o_nomask_randcap2.json" \ | |
--save_valid_obj_ids_path "mbench/numbered_valid_obj_ids_gpt-4o_nomask_randcap2.json" | |
# #!/bin/bash | |
# #SBATCH --job-name=jupyter | |
# #SBATCH --partition=a4000 # ????? ???? ????: a6000 or a100 | |
# #SBATCH --gres=gpu:0 # Use 1 GPU | |
# #SBATCH --time=10-04:30:00 # d-hh:mm:ss ????, ???? job?? max time limit ???? | |
# #SBATCH --mem=3G # cpu memory size | |
# #SBATCH --cpus-per-task=3 # cpu ???? | |
# #SBATCH --output=jptr_chaeyun.txt # ?????? ???? ??? std output?? ?????? ???? ??? | |
# ml purge | |
# ml load cuda/11.8 | |
# eval "$(conda shell.bash hook)" | |
# conda activate risall | |
# # python datagen.py | |
# srun jupyter notebook --no-browser --port=5727 | |