# export WANDB_API_KEY=''
# export WANDB_PROJECT=''
# export WANDB_ENTITY=''

ROOT_DATA=''
ROOT_WEIGHT=''
ROOT_LOG=''

LAYERS=2,0
STRIDES=8,1
PIVOTS=10000 #never used
GROUPING=avgpool1d
PROGRESSIVE=True
NAME=heavy-compression

# pretrain
deepspeed llava/train/train_mem.py \
    --deepspeed ./scripts/zero2.json \
    --model_name_or_path lmsys/vicuna-7b-v1.5 \
    --version plain \
    --data_path $ROOT_DATA//LLaVA-Pretrain/blip_laion_cc_sbu_558k.json \
    --image_folder $ROOT_DATA/LLaVA-Pretrain/images \
    --vision_tower openai/clip-vit-large-patch14-336 \
    --mm_projector_type mlp2x_gelu \
    --tune_mm_mlp_adapter True \
    --mm_vision_select_layer -2 \
    --mm_use_im_start_end False \
    --mm_use_im_patch_token False \
    --bf16 True \
    --output_dir $ROOT_WEIGHT/llava-v1.5-7b-pretrain-compression \
    --num_train_epochs 1 \
    --per_device_train_batch_size 32 \
    --per_device_eval_batch_size 4 \
    --gradient_accumulation_steps 1 \
    --evaluation_strategy "no" \
    --save_strategy "steps" \
    --save_steps 24000 \
    --save_total_limit 1 \
    --learning_rate 1e-3 \
    --weight_decay 0. \
    --warmup_ratio 0.03 \
    --lr_scheduler_type "cosine" \
    --logging_steps 1 \
    --tf32 True \
    --model_max_length 2048 \
    --gradient_checkpointing True \
    --dataloader_num_workers 4 \
    --lazy_preprocess True \
    --report_to wandb \
    --run_name $NAME-pretrain \
    --strides $STRIDES \
    --layers $LAYERS \
    --pivots $PIVOTS \
    --grouping $GROUPING \
    --progressive $PROGRESSIVE 
    # > $ROOT_LOG/llava-v1.5-7b-pretrain.out 2>$ROOT_LOG/llava-v1.5-7b-pretrain.err

# finetune
deepspeed llava/train/train_mem.py \
    --deepspeed ./scripts/zero3.json \
    --model_name_or_path lmsys/vicuna-7b-v1.5 \
    --version v1 \
    --data_path $ROOT_DATA/LLaVA-Tuning/llava_v1_5_mix665k.json \
    --image_folder $ROOT_DATA/LLaVA-Tuning \
    --vision_tower openai/clip-vit-large-patch14-336 \
    --pretrain_mm_mlp_adapter $ROOT_WEIGHT/llava-v1.5-7b-pretrain-compression/mm_projector.bin \
    --mm_projector_type mlp2x_gelu \
    --mm_vision_select_layer -2 \
    --mm_use_im_start_end False \
    --mm_use_im_patch_token False \
    --image_aspect_ratio pad \
    --group_by_modality_length True \
    --bf16 True \
    --output_dir  $ROOT_WEIGHT/llava-v1.5-7b-$NAME \
    --num_train_epochs 1 \
    --per_device_train_batch_size 16 \
    --per_device_eval_batch_size 4 \
    --gradient_accumulation_steps 1 \
    --evaluation_strategy "no" \
    --save_strategy "steps" \
    --save_steps 50000 \
    --save_total_limit 1 \
    --learning_rate 2e-5 \
    --weight_decay 0. \
    --warmup_ratio 0.03 \
    --lr_scheduler_type "cosine" \
    --logging_steps 1 \
    --tf32 True \
    --model_max_length 2048 \
    --gradient_checkpointing True \
    --dataloader_num_workers 4 \
    --lazy_preprocess True \
    --report_to wandb \
    --run_name $NAME \
    --strides $STRIDES \
    --layers $LAYERS \
    --pivots $PIVOTS \
    --grouping $GROUPING \
    --progressive $PROGRESSIVE \
    # > $ROOT_LOG/$NAME.out 2>$ROOT_LOG/$NAME.err