update NAS-Bench-102 baselines
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		| @@ -34,6 +34,7 @@ OMP_NUM_THREADS=4 python ./exps/algos/GDAS.py \ | ||||
| 	--dataset ${dataset} --data_path ${data_path} \ | ||||
| 	--search_space_name ${space} \ | ||||
| 	--arch_nas_dataset ${TORCH_HOME}/NAS-Bench-102-v1_0-e61699.pth \ | ||||
| 	--tau_max 10 --tau_min 0.1 \ | ||||
| 	--config_path configs/nas-benchmark/algos/GDAS.config \ | ||||
| 	--tau_max 10 --tau_min 0.1 --track_running_stats 1 \ | ||||
| 	--arch_learning_rate 0.0003 --arch_weight_decay 0.001 \ | ||||
| 	--workers 4 --print_freq 200 --rand_seed ${seed} | ||||
|   | ||||
| @@ -35,5 +35,6 @@ OMP_NUM_THREADS=4 python ./exps/algos/R_EA.py \ | ||||
| 	--dataset ${dataset} --data_path ${data_path} \ | ||||
| 	--search_space_name ${space} \ | ||||
| 	--arch_nas_dataset ${TORCH_HOME}/NAS-Bench-102-v1_0-e61699.pth \ | ||||
| 	--ea_cycles 30 --ea_population 10 --ea_sample_size 3 --ea_fast_by_api 1 \ | ||||
| 	--time_budget 12000 \ | ||||
| 	--ea_cycles 100 --ea_population 10 --ea_sample_size 3 --ea_fast_by_api 1 \ | ||||
| 	--workers 4 --print_freq 200 --rand_seed ${seed} | ||||
|   | ||||
| @@ -34,5 +34,6 @@ OMP_NUM_THREADS=4 python ./exps/algos/RANDOM.py \ | ||||
| 	--dataset ${dataset} --data_path ${data_path} \ | ||||
| 	--search_space_name ${space} \ | ||||
| 	--arch_nas_dataset ${TORCH_HOME}/NAS-Bench-102-v1_0-e61699.pth \ | ||||
| 	--random_num 100 \ | ||||
| 	--time_budget 12000 \ | ||||
| 	--workers 4 --print_freq 200 --rand_seed ${seed} | ||||
| #	--random_num 100 \ | ||||
|   | ||||
| @@ -36,6 +36,7 @@ OMP_NUM_THREADS=4 python ./exps/algos/SETN.py \ | ||||
| 	--search_space_name ${space} \ | ||||
| 	--arch_nas_dataset ${TORCH_HOME}/NAS-Bench-102-v1_0-e61699.pth \ | ||||
| 	--config_path configs/nas-benchmark/algos/SETN.config \ | ||||
| 	--track_running_stats 1 \ | ||||
| 	--arch_learning_rate 0.0003 --arch_weight_decay 0.001 \ | ||||
| 	--select_num 100 \ | ||||
| 	--workers 4 --print_freq 200 --rand_seed ${seed} | ||||
|   | ||||
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