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