python test_model.py \
        problem.hyp.alpha=0.00 \
        problem/model=dt_net_2d_custom \
        problem.model.model=cnn_gru_gn \
        problem=mazes \
        name=mazes_ablation \
        problem.hyp.beta=0.0 \
        problem.model.num_class=0 \
        problem.test_data=25 \
        problem.model.max_iters=100 \
        problem.model.model_path="/home/fis/workspace_AI/AI-RnD/hieutb2/deep-thinking/outputs/mazes_ablation/training-2025-05-25 21:31:33.083179" \