#!/bin/bash
#SBATCH --job-name=eval
#SBATCH --output=job/internvl3_8b_fine_tune_coco_job_output_%j.txt
#SBATCH --error=job/internvl3_8b_fine_tune_coco_job_error_%j.txt
#SBATCH --time=32:00:00
#SBATCH --ntasks=1
#SBATCH --partition=camera-long
#SBATCH --ntasks-per-node=1
#SBATCH --nodes=1
#SBATCH --gres=gpu:h200:8
#SBATCH --mail-type=ALL
#SBATCH --mail-user=ym621@ic.ac.uk
#SBATCH --qos=normal

cd /mnt/data-alpha-sg-01/team-camera/home/m50048399/transfered/ye_project/Project2
/home/m50048399/anaconda3/bin/conda init bash
source ~/.bashrc
conda activate sceneverse
export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True

# ==== USER SETTINGS ====
CONFIG="configs/final/all_warmup.yaml"
NOTE="scannet_training_run1"
EXP_NAME="sceneverse_scannet_exp1"

# ==== SAFETY ====
set -e
set -o pipefail

# ==== OUTPUT LOGGING ====
TIMESTAMP=$(date +%Y%m%d_%H%M%S)
LOGDIR="logs"
mkdir -p "$LOGDIR"
LOGFILE="$LOGDIR/${EXP_NAME}_${NOTE}_$TIMESTAMP.log"

# ==== EXPERIMENT DIRECTORY ====
EXP_DIR="results/${EXP_NAME}_${NOTE}"

echo "[INFO] Starting training: $EXP_NAME ($NOTE)"
echo "[INFO] Logging to: $LOGFILE"
echo "[INFO] Experiment directory: $EXP_DIR"

# ==== LAUNCx`xH ====
python launch.py --mode accelerate --gpu_per_node 8 --num_nodes 1 \
    --config $CONFIG \
    note=$NOTE \
    name=$EXP_NAME