| #SBATCH --job-name=test # Submit a job named "example" | |
| #SBATCH --mail-user=vip.maildummy@gmail.com | |
| #SBATCH --mail-type=BEGIN,END,FAIL | |
| #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=log_refcoco_retrieval_433_10up_testAB.txt # std output filename | |
| ml cuda/11.0 # ํ์ํ ์ฟ ๋ค ๋ฒ์ ๋ก๋ | |
| eval "$(conda shell.bash hook)" # Initialize Conda Environment | |
| conda activate lavt # Activate your conda environment | |
| # test | |
| # python test.py --model lavt_one --swin_type base --dataset refcoco --split testA --resume ./checkpoints/repro_lavt_one/model_best_refcoco_lavt_one.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| # python test.py --model lavt_one --swin_type base --dataset refcoco --split testB --resume ./checkpoints/repro_lavt_one/model_best_refcoco_lavt_one.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| # python test.py --model lavt_one --swin_type base --dataset refcoco+ --split val --resume ./checkpoints/refcoco+.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 ./checkpoints/gref_umd.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| # python test.py --model lavt_one --swin_type base --dataset refcocog --splitBy google --split val --resume ./checkpoints/gref_google.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| # python test.py --model lavt_one --swin_type base --dataset grefcoco --splitBy unc --split val --resume ./checkpoints/gref_umd.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| # test lavt_one | |
| # python test.py --model lavt_one --swin_type base --dataset refcocog --splitBy umd --split test --resume ./checkpoints/model_best_gref_umd_lavt_one.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| # python test.py --model lavt_one --swin_type base --dataset refcocog --splitBy google --split val --resume ./checkpoints/lavt_one/gref_google.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| # python test.py --model lavt_one --swin_type base --dataset refcoco --split val --resume ./checkpoints/lavt_one/refcoco.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| # python test_mosaic.py --model lavt_one --swin_type base --dataset refcoco --split testA --resume ./checkpoints/mosaic_lavt_one/model_best_mosaic_refcoco_lavt_one.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| # python test_mosaic.py --model lavt_one --swin_type base --dataset refcoco --split testB --resume ./checkpoints/mosaic_lavt_one/model_best_mosaic_refcoco_lavt_one.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| # srun python test.py --model lavt_one --swin_type base --dataset refcoco+ --split val --resume ./checkpoints/lavt_one/refcoco+.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| # srun python test.py --model lavt_one --swin_type base --dataset refcoco+ --split testA --resume ./checkpoints/retrieval_lavt_one/Retrieval_433_10wm6to3/model_best_retrieval_refcoco+_OneStage_433_10wm6to3.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| # srun python test.py --model lavt_one --swin_type base --dataset refcoco+ --split testB --resume ./checkpoints/retrieval_lavt_one/Retrieval_433_10wm6to3/model_best_retrieval_refcoco+_OneStage_433_10wm6to3.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 | |
| # random | |
| # srun python test_mosaic.py --model lavt_one --swin_type base --dataset refcoco --split testA --resume experiments/refcoco_unc/refcoco_random_460/model_best_refcoco_random_460.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 --config config/random_460.yaml | |
| # srun python test_mosaic.py --model lavt_one --swin_type base --dataset refcoco --split testB --resume experiments/refcoco_unc/refcoco_random_460/model_best_refcoco_random_460.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 --config config/random_460.yaml | |
| # srun python test_mosaic.py --model lavt_one --swin_type base --dataset refcoco+ --split testA --resume experiments/refcoco+_unc/refcoco+_random_460/model_best_refcoco+_random_460.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 --config config/random_460.yaml | |
| # srun python test_mosaic.py --model lavt_one --swin_type base --dataset refcoco+ --split testB --resume experiments/refcoco+_unc/refcoco+_random_460/model_best_refcoco+_random_460.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 --config config/random_460.yaml | |
| # srun python test_mosaic.py --model lavt_one --swin_type base --dataset refcocog --splitBy umd --split test --resume experiments/refcocog_umd/random_gref_umd_460_40epoch_2/model_best_random_gref_umd_460_40epoch_2.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 --config config/random_460.yaml | |
| # retrieval | |
| # srun python test_mosaic_retrieval.py --model lavt_one --swin_type base --dataset refcocog --splitBy umd --split test --resume experiments/refcocog_umd/retrieval_filter_gref_umd_433_10up_top200/model_best_retrieval_filter_gref_umd_433_10up_top200.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 --config config/retrieval_433_10up.yaml | |
| # srun python test_mosaic_retrieval.py --model lavt_one --swin_type base --dataset refcoco+ --split testA --resume experiments/refcoco+_unc/refcoco+_retrieval_filter_433_10up/model_best_refcoco+_retrieval_filter_433_10up.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 --config config/retrieval_433_10up.yaml | |
| # srun python test_mosaic_retrieval.py --model lavt_one --swin_type base --dataset refcoco+ --split testB --resume experiments/refcoco+_unc/refcoco+_retrieval_filter_433_10up/model_best_refcoco+_retrieval_filter_433_10up.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 --config config/retrieval_433_10up.yaml | |
| srun python test_mosaic_retrieval.py --model lavt_one --swin_type base --dataset refcoco --split testA --resume experiments/refcoco_unc/refcoco_retrieval_filter_433_10up/model_best_refcoco_retrieval_filter_433_10up.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 --config config/retrieval_433_10up.yaml | |
| srun python test_mosaic_retrieval.py --model lavt_one --swin_type base --dataset refcoco --split testB --resume experiments/refcoco_unc/refcoco_retrieval_filter_433_10up/model_best_refcoco_retrieval_filter_433_10up.pth --workers 4 --ddp_trained_weights --window12 --img_size 480 --config config/retrieval_433_10up.yaml |