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run.sh
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export CUDA_VISIBLE_DEVICES=2
python run.py \
--label_aug \
--consistancy_learning \
--problem cvrp \
--val_dataset expert_data/vrp20_valid_problem_3456.pkl \
--train_dataset expert_data/vrp20_problem_2345.pkl \
--wandb_run_name orig_label_cons \
--labelpath expert_data/vrp20_solution_2345.pkl
# sleep 5
# export CUDA_VISIBLE_DEVICES=7
# python run.py \
# --problem cvrp \
# --label_aug \
# --consistancy_learning \
# --val_dataset expert_data/vrp20_valid_problem_3456.pkl \
# --train_dataset expert_data/vrp20_problem_2345.pkl \
# --num_equivariant_samples 5 \
# --wandb_run_name eq_label_cons_lambda5 \
# --supervise_lambda 5 \
# --labelpath expert_data/vrp20_solution_2345.pkl &
# sleep 5
# export CUDA_VISIBLE_DEVICES=6
# python run.py \
# --problem cvrp \
# --val_dataset expert_data/vrp20_valid_problem_3456.pkl \
# --train_dataset expert_data/vrp20_problem_2345.pkl \
# --num_equivariant_samples 50 \
# --wandb_run_name eq_50 \
# --labelpath expert_data/vrp20_solution_2345.pkl &
# sleep 5
# export CUDA_VISIBLE_DEVICES=7
# python run.py \
# --problem cvrp \
# --label_aug \
# --consistancy_learning \
# --val_dataset expert_data/vrp20_valid_problem_3456.pkl \
# --train_dataset expert_data/vrp20_problem_2345.pkl \
# --wandb_run_name minsu_flags_all \
# --labelpath expert_data/vrp20_solution_2345.pkl &