run

#!/usr/bin/env bash
# CoLLaVO-Experiment
GPU_DEVICE="0,1,2,3,4,5"
length=${#GPU_DEVICE}
n_gpu=$(((length+1)/2))
main_port=10000
test_batch=1

CUDA_VISIBLE_DEVICES=$GPU_DEVICE \
accelerate launch --config_file configs/accel/ddp_accel.yaml \
    --num_processes=$n_gpu \
    --main_process_port=$main_port \
    lbk_entry.py eval \
    --conf_files configs/collavo_eval.yaml \
    --overrides \
    WANDB False \
    DATASETS.TEST mme \
    PIPELINE MMEPipeline \
    MME.TEST.BATCH_SIZE_TOTAL $((n_gpu * test_batch)) \
    SCIENCEQA.TEST.BATCH_SIZE_TOTAL $((n_gpu * test_batch)) \
    POPE.TEST.BATCH_SIZE_TOTAL $((n_gpu * test_batch)) \
    MMBENCH.TEST.BATCH_SIZE_TOTAL $((n_gpu * test_batch)) \
    MMVET.TEST.BATCH_SIZE_TOTAL $((n_gpu * test_batch)) \
    AI2D.TEST.BATCH_SIZE_TOTAL $((n_gpu * test_batch)) \
    HALLUSIONBENCH.TEST.BATCH_SIZE_TOTAL $((n_gpu * test_batch)) \
    MATHVISTA.TEST.BATCH_SIZE_TOTAL $((n_gpu * test_batch)) \
    QBENCH.TEST.BATCH_SIZE_TOTAL $((n_gpu * test_batch)) \
    SEED.TEST.BATCH_SIZE_TOTAL $((n_gpu * test_batch)) \
    SAVE_DIR /path/to/CoLLaVO_DIR \
    WEIGHT True \
    RESUME_FROM /path/to/CoLLaVO_WEIGHT \
##################################################################################################