| #SBATCH --partition=l40s | |
| #SBATCH --gres=gpu:1 | |
| #SBATCH --cpus-per-task=8 | |
| #SBATCH --time=6:00:00 | |
| #SBATCH --job-name=evcomp_bg_fix | |
| #SBATCH --output=evcomp_bg_fix.%j.out | |
| echo "Hello from $(hostname)!" | |
| CONDA_BASE=/home/kthakka2/scratchmelhila1/karan/miniconda3 | |
| source "${CONDA_BASE}/etc/profile.d/conda.sh" | |
| conda activate semhear_emma2 | |
| BASE_DIR=/home/kthakka2/scratchmelhila1/karan/EMMA2_text_conditioning_contextual | |
| cd "${BASE_DIR}" | |
| MIXTURES_DIR="${BASE_DIR}/data/OOD_gemini_GT/audio_mixtures_OOD_backgrounds" | |
| for MODEL_NAME in combined_v1 no_TSDL_old_mixtures; do | |
| EVAL_DIR="${BASE_DIR}/experiments_final/${MODEL_NAME}/eval_outputs_OOD_gemini_GT_backgrounds" | |
| echo "==============================================" | |
| echo "Model: ${MODEL_NAME} (num_workers=1 to avoid malloc crash)" | |
| echo "==============================================" | |
| python evaluate_event_detection_complement.py \ | |
| --eval_outputs_dir "${EVAL_DIR}/outputs" \ | |
| --mixtures_dir "${MIXTURES_DIR}" \ | |
| --output_csv "${EVAL_DIR}/event_detection_scores_complement.csv" \ | |
| --use_cuda \ | |
| --batch_size 32 \ | |
| --num_workers 1 | |
| echo "Done: ${MODEL_NAME}/eval_outputs_OOD_gemini_GT_backgrounds" | |
| done | |
| echo "All done!" | |