| #SBATCH --job-name=lavt_test | |
| #SBATCH --partition=a4000 # a6000 or a100 | |
| #SBATCH --gres=gpu:1 | |
| #SBATCH --time=7-00:00:00 # d-hh:mm:ss, max time limit | |
| #SBATCH --mem=48000 # cpu memory size | |
| #SBATCH --cpus-per-task=4 # cpu num | |
| #SBATCH --output=./logs/test_gref_m10_mg10_tmp010_4gpu_bs16_ang.txt | |
| ml purge | |
| ml load cuda/11.3 | |
| eval "$(conda shell.bash hook)" | |
| conda activate cris | |
| cd /data2/projects/chaeyun/LAVT-RIS/ | |
| MODEL_ID="gref_m10_mg10_tmp010_4gpu_bs16_ang" | |
| # MODEL_ID="posonly_mlw005_b32_2" | |
| # python test.py --model lavt_one --swin_type base --dataset refcocog --splitBy umd --split val --resume ./models/$MODEL_ID/model_best_$MODEL_ID.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| # python test_mostat.py --model lavt_one --swin_type base --dataset refcocog --splitBy umd --split static --resume ./models/$MODEL_ID/model_best_$MODEL_ID.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| python test.py --model lavt_one --swin_type base --dataset refcocog --splitBy umd --split test --resume ./models/$MODEL_ID/model_best_$MODEL_ID.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| python test_mostat.py --model lavt_one --swin_type base --dataset refcocog --splitBy umd --split motion --resume ./models/$MODEL_ID/model_best_$MODEL_ID.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |