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#!/bin/bash
ml purge
ml load cuda/11.3
eval "$(conda shell.bash hook)"
conda activate cris
cd /data2/projects/chaeyun/LAVT-RIS/
# todo after 241208
# gref_m10_mg10_tmp010_4gpu_bs32_ang
# mlw 0.10 margin 8 tmp 0.10 original
# # bash ./scripts/baseline_test_lr_angle.sh ./models/gref_m10_mg10_tmp010_4gpu_bs32_ang gref_m10_mg10_tmp010_4gpu_bs32_ang 10 0.10 hardpos_only 0.10 > ./logs/gref_m10_mg10_tmp010_4gpu_bs32_ang.log 2>&1
# # bash ./scripts/baseline_test_lr.sh ./models/gref_m10_mg08_tmp010_4gpu_bs32_ang gref_m10_mg08_tmp010_4gpu_bs32_ang 8 0.10 hardpos_only 0.10 > ./logs/gref_m10_mg08_tmp010_4gpu_bs32_ang.log 2>&1
# gref_m10_tmp010_4gpu_bs32_orig
# done : margin 10 tmp 0.10 original
export NCCL_P2P_DISABLE=1
export NVIDIA_TF32_OVERRIDE=0
GPUS=4
OUTPUT_DIR=$1
EXP_NAME=$2
MARGIN=$3
TEMP=$4
MODE=$5
MLW=$6
# # Create the directory if it does not exist
# if [[ ! -d "${OPT_DIR}/${EXP_NAME}" ]]; then
# echo "Directory ${OPT_DIR}/${EXP_NAME} does not exist. Creating it..."
# mkdir -p "${OPT_DIR}/${EXP_NAME}"
# fi
# TRAIN
# hardpos_only, hardpos_only_rev
python_args="--model lavt_one \
--dataset refcocog \
--splitBy umd \
--output-dir ${OUTPUT_DIR} \
--model_id ${EXP_NAME} \
--batch-size 8 \
--lr 0.00005 \
--wd 1e-2 \
--swin_type base \
--pretrained_swin_weights ./pretrained_weights/swin_base_patch4_window12_384_22k.pth \
--epochs 40 \
--img_size 480 \
--metric_learning \
--margin_value ${MARGIN} \
--temperature ${TEMP} \
--metric_mode ${MODE} \
--metric_loss_weight ${MLW} \
--exclude_multiobj "
python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=3928 train_angle.py $python_args
# sbatch ./scripts/baseline_test_lr.sh ./models/gref_hp10_m10_tmp003 gref_hp10_m10_tmp003 10 0.03 hardpos_only_refined
# sbatch ./scripts/baseline_test_lr.sh ./models/gref_hp10_m10_tmp010 gref_hp10_m10_tmp010 10 0.10 hardpos_only_refined
# sbatch ./scripts/baseline_test_lr.sh ./models/gref_hp10_m15_tmp005 gref_hp10_m15_tmp005 15 0.05 hardpos_only_refined
# sbatch ./scripts/baseline_test_lr.sh ./models/gref_hp10_m20_tmp005 gref_hp10_m20_tmp005 20 0.05 hardpos_only_refined
# python test.py --model lavt_one --swin_type base --dataset refcocog --splitBy umd --split test --resume ./models/gref_umd/lavt_test_lr/gref_testlr_4gpu.pth --workers 4 --ddp_trained_weights --window12 --img_size 480
# /data2/projects/chaeyun/LAVT-RIS/models/refzom_lavt_bs32_repro/model_best_refzom_lavt_bs32_repro.pth
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