CUDA_VISIBLE_DEVICES=1,2,3,4,5,6,7 python -m torch.distributed.launch --nproc_per_node=7 --master_port 28888 --use_env hivg_eval.py --num_workers 2 --batch_size 64  --model ViT-L/14  --dataset unc            --vl_hidden_dim 768 --imsize 224 --max_query_len 77 --normalize_before --use_mask_loss  --save_hilora_clip  --mixup_pretrain  --data_root /path_to_image_data --split_root /path_to_split/ref_data_shuffled --eval_model /path_to_output/mixup_grounding_pretraining_large/mixup/best_checkpoint.pth --eval_set val    --output_dir /path_to_output/mixup_grounding_pretraining_large/unc;
CUDA_VISIBLE_DEVICES=1,2,3,4,5,6,7 python -m torch.distributed.launch --nproc_per_node=7 --master_port 28888 --use_env hivg_eval.py --num_workers 2 --batch_size 64  --model ViT-L/14  --dataset unc            --vl_hidden_dim 768 --imsize 224 --max_query_len 77 --normalize_before --use_mask_loss  --save_hilora_clip  --mixup_pretrain  --data_root /path_to_image_data --split_root /path_to_split/ref_data_shuffled --eval_model /path_to_output/mixup_grounding_pretraining_large/mixup/best_checkpoint.pth --eval_set testA  --output_dir /path_to_output/mixup_grounding_pretraining_large/unc;
CUDA_VISIBLE_DEVICES=1,2,3,4,5,6,7 python -m torch.distributed.launch --nproc_per_node=7 --master_port 28888 --use_env hivg_eval.py --num_workers 2 --batch_size 64  --model ViT-L/14  --dataset unc            --vl_hidden_dim 768 --imsize 224 --max_query_len 77 --normalize_before --use_mask_loss  --save_hilora_clip  --mixup_pretrain  --data_root /path_to_image_data --split_root /path_to_split/ref_data_shuffled --eval_model /path_to_output/mixup_grounding_pretraining_large/mixup/best_checkpoint.pth --eval_set testB  --output_dir /path_to_output/mixup_grounding_pretraining_large/unc;
#

CUDA_VISIBLE_DEVICES=1,2,3,4,5,6,7 python -m torch.distributed.launch --nproc_per_node=7 --master_port 28888 --use_env hivg_eval.py --num_workers 2 --batch_size 64  --model ViT-L/14  --dataset unc+           --vl_hidden_dim 768 --imsize 224 --max_query_len 77 --normalize_before --use_mask_loss  --save_hilora_clip  --mixup_pretrain  --data_root /path_to_image_data --split_root /path_to_split/ref_data_shuffled --eval_model /path_to_output/mixup_grounding_pretraining_large/mixup/best_checkpoint.pth --eval_set val    --output_dir /path_to_output/mixup_grounding_pretraining_large/unc+;
CUDA_VISIBLE_DEVICES=1,2,3,4,5,6,7 python -m torch.distributed.launch --nproc_per_node=7 --master_port 28888 --use_env hivg_eval.py --num_workers 2 --batch_size 64  --model ViT-L/14  --dataset unc+           --vl_hidden_dim 768 --imsize 224 --max_query_len 77 --normalize_before --use_mask_loss  --save_hilora_clip  --mixup_pretrain  --data_root /path_to_image_data --split_root /path_to_split/ref_data_shuffled --eval_model /path_to_output/mixup_grounding_pretraining_large/mixup/best_checkpoint.pth --eval_set testA  --output_dir /path_to_output/mixup_grounding_pretraining_large/unc+;
CUDA_VISIBLE_DEVICES=1,2,3,4,5,6,7 python -m torch.distributed.launch --nproc_per_node=7 --master_port 28888 --use_env hivg_eval.py --num_workers 2 --batch_size 64  --model ViT-L/14  --dataset unc+           --vl_hidden_dim 768 --imsize 224 --max_query_len 77 --normalize_before --use_mask_loss  --save_hilora_clip  --mixup_pretrain  --data_root /path_to_image_data --split_root /path_to_split/ref_data_shuffled --eval_model /path_to_output/mixup_grounding_pretraining_large/mixup/best_checkpoint.pth --eval_set testB  --output_dir /path_to_output/mixup_grounding_pretraining_large/unc+;

CUDA_VISIBLE_DEVICES=1,2,3,4,5,6,7 python -m torch.distributed.launch --nproc_per_node=7 --master_port 28888 --use_env hivg_eval.py --num_workers 2 --batch_size 64  --model ViT-L/14  --dataset gref_umd       --vl_hidden_dim 768 --imsize 224 --max_query_len 77 --normalize_before --use_mask_loss  --save_hilora_clip  --mixup_pretrain  --data_root /path_to_image_data --split_root /path_to_split/ref_data_shuffled --eval_model /path_to_output/mixup_grounding_pretraining_large/mixup/best_checkpoint.pth --eval_set val    --output_dir /path_to_output/mixup_grounding_pretraining_large/gref_umd;
CUDA_VISIBLE_DEVICES=1,2,3,4,5,6,7 python -m torch.distributed.launch --nproc_per_node=7 --master_port 28888 --use_env hivg_eval.py --num_workers 2 --batch_size 64  --model ViT-L/14  --dataset gref_umd       --vl_hidden_dim 768 --imsize 224 --max_query_len 77 --normalize_before --use_mask_loss  --save_hilora_clip  --mixup_pretrain  --data_root /path_to_image_data --split_root /path_to_split/ref_data_shuffled --eval_model /path_to_output/mixup_grounding_pretraining_large/mixup/best_checkpoint.pth --eval_set test   --output_dir /path_to_output/mixup_grounding_pretraining_large/gref_umd;
##

CUDA_VISIBLE_DEVICES=1,2,3,4,5,6,7 python -m torch.distributed.launch --nproc_per_node=7 --master_port 28888 --use_env hivg_eval.py --num_workers 2 --batch_size 64  --model ViT-L/14  --dataset referit        --vl_hidden_dim 768 --imsize 224 --max_query_len 77 --normalize_before --use_mask_loss  --save_hilora_clip  --mixup_pretrain  --data_root /path_to_image_data --split_root /path_to_split/ref_data_shuffled --eval_model /path_to_output/mixup_grounding_pretraining_large/mixup/best_checkpoint.pth --eval_set val    --output_dir /path_to_output/mixup_grounding_pretraining_large/referit;
CUDA_VISIBLE_DEVICES=1,2,3,4,5,6,7 python -m torch.distributed.launch --nproc_per_node=7 --master_port 28888 --use_env hivg_eval.py --num_workers 2 --batch_size 64  --model ViT-L/14  --dataset referit        --vl_hidden_dim 768 --imsize 224 --max_query_len 77 --normalize_before --use_mask_loss  --save_hilora_clip  --mixup_pretrain  --data_root /path_to_image_data --split_root /path_to_split/ref_data_shuffled --eval_model /path_to_output/mixup_grounding_pretraining_large/mixup/best_checkpoint.pth --eval_set test   --output_dir /path_to_output/mixup_grounding_pretraining_large/referit;
##
#
CUDA_VISIBLE_DEVICES=1,2,3,4,5,6,7 python -m torch.distributed.launch --nproc_per_node=7 --master_port 28888 --use_env hivg_eval.py --num_workers 2 --batch_size 64  --model ViT-L/14  --dataset flickr         --vl_hidden_dim 768 --imsize 224 --max_query_len 77 --normalize_before --use_mask_loss  --save_hilora_clip  --mixup_pretrain  --data_root /path_to_image_data --split_root /path_to_split/ref_data_shuffled --eval_model /path_to_output/mixup_grounding_pretraining_large/mixup/best_checkpoint.pth --eval_set val    --output_dir /path_to_output/mixup_grounding_pretraining_large/flickr;
CUDA_VISIBLE_DEVICES=1,2,3,4,5,6,7 python -m torch.distributed.launch --nproc_per_node=7 --master_port 28888 --use_env hivg_eval.py --num_workers 2 --batch_size 64  --model ViT-L/14  --dataset flickr         --vl_hidden_dim 768 --imsize 224 --max_query_len 77 --normalize_before --use_mask_loss  --save_hilora_clip  --mixup_pretrain  --data_root /path_to_image_data --split_root /path_to_split/ref_data_shuffled --eval_model /path_to_output/mixup_grounding_pretraining_large/mixup/best_checkpoint.pth --eval_set test   --output_dir /path_to_output/mixup_grounding_pretraining_large/flickr;
##

