#!/bin/bash
set_n_least_used_CUDA_VISIBLE_DEVICES() {
    local n=${1:-"9999"}
    echo "GPU Memory Usage:"
    local FIRST_N_GPU_IDS=$(nvidia-smi --query-gpu=memory.used --format=csv |
        tail -n +2 |
        nl -v 0 |
        tee /dev/tty |
        sort -g -k 2 |
        awk '{print $1}' |
        head -n $n)
    export CUDA_VISIBLE_DEVICES=$(echo $FIRST_N_GPU_IDS | sed 's/ /,/g')
    echo "Now CUDA_VISIBLE_DEVICES is set to:"
    echo "CUDA_VISIBLE_DEVICES=$CUDA_VISIBLE_DEVICES"
}

set_n_least_used_CUDA_VISIBLE_DEVICES 8

PROJECT_NAME=""
PARENT_SAVE_DIR=""
PARENT_TENSORBOARD_DIR=""
PARENT_CONFIG_FILE=""
PRETRAINED_MODEL_PATH=""

declare -a dataset=(
    "PATH TO THE DATASET"
)

TIMESTAMP=$(date +%Y-%m-%d-%H-%M-%S)
FULL_PROJECT_NAME="${PROJECT_NAME}-${TIMESTAMP}"
SAVE_DIR="${PARENT_SAVE_DIR}${FULL_PROJECT_NAME}"
TENSORBOARD_DIR="${PARENT_TENSORBOARD_DIR}${FULL_PROJECT_NAME}"
CONFIG_FILE="${PARENT_CONFIG_FILE}${FULL_PROJECT_NAME}.json"

colossalai run --nproc_per_node 8 --hostfile hostfile --master_port 30013 train.py \
    --pretrained $PRETRAINED_MODEL_PATH \
    --dataset ${dataset[@]} \
    --plugin "zero2" \
    --save_interval 400 \
    --save_dir $SAVE_DIR \
    --tensorboard_dir $TENSORBOARD_DIR \
    --config_file $CONFIG_FILE \
    --num_epochs 1 \
    --micro_batch_size 8 \
    --lr 1e-4 \
    --mixed_precision "bf16" \
    --grad_clip 1.0 \
    --weight_decay 0.01 \
    --warmup_steps 100 \
    --use_grad_checkpoint \
    --use_flash_attn \
    --pad_token "unk"