update NAS-Bench
This commit is contained in:
39
exps/NAS-Bench-201/show-best.py
Normal file
39
exps/NAS-Bench-201/show-best.py
Normal file
@@ -0,0 +1,39 @@
|
||||
#####################################################
|
||||
# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2020.01 #
|
||||
################################################################################################
|
||||
# python exps/NAS-Bench-201/show-best.py --api_path $HOME/.torch/NAS-Bench-201-v1_0-e61699.pth #
|
||||
################################################################################################
|
||||
import os, sys, time, glob, random, argparse
|
||||
from pathlib import Path
|
||||
lib_dir = (Path(__file__).parent / '..' / '..' / 'lib').resolve()
|
||||
if str(lib_dir) not in sys.path: sys.path.insert(0, str(lib_dir))
|
||||
from nas_201_api import NASBench201API as API
|
||||
|
||||
if __name__ == '__main__':
|
||||
parser = argparse.ArgumentParser("Analysis of NAS-Bench-201")
|
||||
parser.add_argument('--api_path', type=str, default=None, help='The path to the NAS-Bench-201 benchmark file.')
|
||||
args = parser.parse_args()
|
||||
|
||||
meta_file = Path(args.api_path)
|
||||
assert meta_file.exists(), 'invalid path for api : {:}'.format(meta_file)
|
||||
|
||||
api = API(str(meta_file))
|
||||
|
||||
# This will show the results of the best architecture based on the validation set of each dataset.
|
||||
arch_index, accuracy = api.find_best('cifar10-valid', 'x-valid', None, None, False)
|
||||
print('FOR CIFAR-010, using the hyper-parameters with 200 training epochs :::')
|
||||
print('arch-index={:5d}, arch={:}'.format(arch_index, api.arch(arch_index)))
|
||||
api.show(arch_index)
|
||||
print('')
|
||||
|
||||
arch_index, accuracy = api.find_best('cifar100', 'x-valid', None, None, False)
|
||||
print('FOR CIFAR-100, using the hyper-parameters with 200 training epochs :::')
|
||||
print('arch-index={:5d}, arch={:}'.format(arch_index, api.arch(arch_index)))
|
||||
api.show(arch_index)
|
||||
print('')
|
||||
|
||||
arch_index, accuracy = api.find_best('ImageNet16-120', 'x-valid', None, None, False)
|
||||
print('FOR ImageNet16-120, using the hyper-parameters with 200 training epochs :::')
|
||||
print('arch-index={:5d}, arch={:}'.format(arch_index, api.arch(arch_index)))
|
||||
api.show(arch_index)
|
||||
print('')
|
Reference in New Issue
Block a user