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#!/bin/bash
#SBATCH --job-name=EVAL
#SBATCH --partition=a5000
#SBATCH --gres=gpu:1
#SBATCH --time=13-11:30:00
#SBATCH --mem=28000
#SBATCH --cpus-per-task=3
#SBATCH --output=./eval_gref/pj_gref_m12_tmp007_refcoarse_nofltroiou_bs28.log
ml purge
ml load cuda/11.8
eval "$(conda shell.bash hook)"
conda activate asda
cd /data2/projects/chaeyun/ASDA
export MASTER_PORT=9273
OPT_DIR=/data2/projects/chaeyun/ASDA/saved_models/
SAVENAME=pj_gref_m12_tmp007_refcoarse_nofltroiou_bs28
RESUME_PATH=${OPT_DIR}/${SAVENAME}_model_best.pth.tar
python test_proj.py \
--dataset refcocog_u \
--ngpu 1 \
--savename $SAVENAME \
--fuse_mode coarse \
--resume $RESUME_PATH
# /data2/projects/chaeyun/ASDA/exp_projection/pj_gref_m10_tmp007_fine_nofltr_bs28.log
# /data2/projects/chaeyun/ASDA/exp_projection/pj_gref_m10_tmp007_coarse_fthr065_bs28.log
# /data2/projects/chaeyun/ASDA/exp/gref_umd_bs28_repro.log
# /data2/projects/chaeyun/ASDA/exp/gref_umd_bs36_repro.log
# /data2/projects/chaeyun/ASDA/exp/refcoco_sanity_bs28.log
# /data2/projects/chaeyun/ASDA/exp/refcoco_sanity_bs36.log
# /data2/projects/chaeyun/ASDA/exp/refcocop_bs28_repro.log
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