| #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 |