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update for NAS-Bench-102

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D-X-Y
2019-12-20 20:41:49 +11:00
parent 6c5fe506d5
commit 69ca0860aa
13 changed files with 656 additions and 46 deletions
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6
exps/algos/BOHB.py
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@@ -17,7 +17,7 @@ from datasets import get_datasets, SearchDataset
from procedures import prepare_seed, prepare_logger, save_checkpoint, copy_checkpoint, get_optim_scheduler
from utils import get_model_infos, obtain_accuracy
from log_utils import AverageMeter, time_string, convert_secs2time
from aa_nas_api import AANASBenchAPI
from nas_102_api import NASBench102API as API
from models import CellStructure, get_search_spaces
from R_EA import train_and_eval
# BOHB: Robust and Efficient Hyperparameter Optimization at Scale, ICML 2018
@@ -112,7 +112,7 @@ def main(xargs, nas_bench):
num_workers = 1
#nas_bench = AANASBenchAPI(xargs.arch_nas_dataset)
logger.log('{:} Create AA-NAS-BENCH-API DONE'.format(time_string()))
#logger.log('{:} Create NAS-BENCH-API DONE'.format(time_string()))
workers = []
for i in range(num_workers):
w = MyWorker(nameserver=ns_host, nameserver_port=ns_port, convert_func=config2structure, nas_bench=nas_bench, run_id=hb_run_id, id=i)
@@ -179,7 +179,7 @@ if __name__ == '__main__':
nas_bench = None
else:
print ('{:} build NAS-Benchmark-API from {:}'.format(time_string(), args.arch_nas_dataset))
nas_bench = AANASBenchAPI(args.arch_nas_dataset)
nas_bench = API(args.arch_nas_dataset)
if args.rand_seed < 0:
save_dir, all_indexes, num = None, [], 500
for i in range(num):

4
exps/algos/RANDOM.py
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@@ -15,7 +15,7 @@ from procedures import prepare_seed, prepare_logger, save_checkpoint, copy_che
from utils import get_model_infos, obtain_accuracy
from log_utils import AverageMeter, time_string, convert_secs2time
from models import get_search_spaces
from aa_nas_api import AANASBenchAPI
from nas_102_api import NASBench102API as API
from R_EA import train_and_eval, random_architecture_func
@@ -92,7 +92,7 @@ if __name__ == '__main__':
nas_bench = None
else:
print ('{:} build NAS-Benchmark-API from {:}'.format(time_string(), args.arch_nas_dataset))
nas_bench = AANASBenchAPI(args.arch_nas_dataset)
nas_bench = API(args.arch_nas_dataset)
if args.rand_seed < 0:
save_dir, all_indexes, num = None, [], 500
for i in range(num):

4
exps/algos/R_EA.py
View File

@@ -16,7 +16,7 @@ from datasets import get_datasets, SearchDataset
from procedures import prepare_seed, prepare_logger, save_checkpoint, copy_checkpoint, get_optim_scheduler
from utils import get_model_infos, obtain_accuracy
from log_utils import AverageMeter, time_string, convert_secs2time
from aa_nas_api import AANASBenchAPI
from nas_102_api import NASBench102API as API
from models import CellStructure, get_search_spaces
@@ -230,7 +230,7 @@ if __name__ == '__main__':
nas_bench = None
else:
print ('{:} build NAS-Benchmark-API from {:}'.format(time_string(), args.arch_nas_dataset))
nas_bench = AANASBenchAPI(args.arch_nas_dataset)
nas_bench = API(args.arch_nas_dataset)
if args.rand_seed < 0:
save_dir, all_indexes, num = None, [], 500
for i in range(num):

2
exps/algos/reinforce.py
View File

@@ -17,7 +17,7 @@ from datasets import get_datasets, SearchDataset
from procedures import prepare_seed, prepare_logger, save_checkpoint, copy_checkpoint, get_optim_scheduler
from utils import get_model_infos, obtain_accuracy
from log_utils import AverageMeter, time_string, convert_secs2time
from aa_nas_api import AANASBenchAPI
from nas_102_api import NASBench102API
from models import CellStructure, get_search_spaces
from R_EA import train_and_eval