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Update REA, REINFORCE, and RANDOM

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D-X-Y
2020-07-13 11:35:13 +00:00
parent 6dc494be08
commit ebad9197f7
5 changed files with 38 additions and 26 deletions
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21
exps/algos-v2/random_wo_share.py
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@@ -4,6 +4,8 @@
# Random Search for Hyper-Parameter Optimization, JMLR 2012 ##################
##############################################################################
# python ./exps/algos-v2/random_wo_share.py --dataset cifar10 --search_space tss
# python ./exps/algos-v2/random_wo_share.py --dataset cifar100 --search_space tss
# python ./exps/algos-v2/random_wo_share.py --dataset ImageNet16-120 --search_space tss
##############################################################################
import os, sys, time, glob, random, argparse
import numpy as np, collections
@@ -20,7 +22,7 @@ from utils import get_model_infos, obtain_accuracy
from log_utils import AverageMeter, time_string, convert_secs2time
from models import get_search_spaces
from nas_201_api import NASBench201API, NASBench301API
from .regularized_ea import random_topology_func, random_size_func
from regularized_ea import random_topology_func, random_size_func
def main(xargs, api):
@@ -28,16 +30,18 @@ def main(xargs, api):
prepare_seed(xargs.rand_seed)
logger = prepare_logger(args)
logger.log('{:} use api : {:}'.format(time_string(), api))
api.reset_time()
search_space = get_search_spaces(xargs.search_space, 'nas-bench-301')
if xargs.search_space == 'tss':
random_arch = random_topology_func(search_space)
else:
random_arch = random_size_func(search_space)
x_start_time = time.time()
logger.log('{:} use nas_bench : {:}'.format(time_string(), nas_bench))
best_arch, best_acc, total_time_cost, history = None, -1, [], []
while total_time_cost[-1] < xargs.time_budget:
current_best_index = []
while len(total_time_cost) == 0 or total_time_cost[-1] < xargs.time_budget:
arch = random_arch()
accuracy, _, _, total_cost = api.simulate_train_eval(arch, xargs.dataset, '12')
total_time_cost.append(total_cost)
@@ -45,13 +49,14 @@ def main(xargs, api):
if best_arch is None or best_acc < accuracy:
best_acc, best_arch = accuracy, arch
logger.log('[{:03d}] : {:} : accuracy = {:.2f}%'.format(len(history), arch, accuracy))
logger.log('{:} best arch is {:}, accuracy = {:.2f}%, visit {:} archs with {:.1f} s (real-cost = {:.3f} s).'.format(time_string(), best_arch, best_acc, len(history), total_time_cost, time.time()-x_start_time))
current_best_index.append(api.query_index_by_arch(best_arch))
logger.log('{:} best arch is {:}, accuracy = {:.2f}%, visit {:} archs with {:.1f} s.'.format(time_string(), best_arch, best_acc, len(history), total_time_cost[-1]))
info = api.query_info_str_by_arch(best_arch, '200' if xargs.search_space == 'tss' else '90')
logger.log('{:}'.format(info))
logger.log('-'*100)
logger.close()
return logger.log_dir, total_time_cost, history
return logger.log_dir, current_best_index, total_time_cost
if __name__ == '__main__':
@@ -62,7 +67,7 @@ if __name__ == '__main__':
parser.add_argument('--time_budget', type=int, default=20000, help='The total time cost budge for searching (in seconds).')
parser.add_argument('--loops_if_rand', type=int, default=500, help='The total runs for evaluation.')
# log
parser.add_argument('--save_dir', type=str, help='Folder to save checkpoints and log.')
parser.add_argument('--save_dir', type=str, default='./output/search', help='Folder to save checkpoints and log.')
parser.add_argument('--rand_seed', type=int, default=-1, help='manual seed')
args = parser.parse_args()
@@ -77,7 +82,7 @@ if __name__ == '__main__':
print('save-dir : {:}'.format(args.save_dir))
if args.rand_seed < 0:
save_dir, all_info = None, {}
save_dir, all_info = None, collections.OrderedDict()
for i in range(args.loops_if_rand):
print ('{:} : {:03d}/{:03d}'.format(time_string(), i, args.loops_if_rand))
args.rand_seed = random.randint(1, 100000)