xautodl/exps/NATS-Bench/Analyze-time.py

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# NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size #
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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2020.07                          #
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# python ./exps/NATS-Bench/Analyze-time.py                                   #
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import os, sys, time, tqdm, 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 config_utils import dict2config, load_config
from datasets import get_datasets
from nats_bench import create


def show_time(api, epoch=12):
  print('Show the time for {:} with {:}-epoch-training'.format(api, epoch))
  all_cifar10_time, all_cifar100_time, all_imagenet_time = 0, 0, 0
  for index in tqdm.tqdm(range(len(api))):
    info = api.get_more_info(index, 'ImageNet16-120', hp=epoch)
    imagenet_time = info['train-all-time']
    info = api.get_more_info(index, 'cifar10-valid', hp=epoch)
    cifar10_time = info['train-all-time']
    info = api.get_more_info(index, 'cifar100', hp=epoch)
    cifar100_time = info['train-all-time']
    # accumulate the time
    all_cifar10_time += cifar10_time
    all_cifar100_time += cifar100_time
    all_imagenet_time += imagenet_time
  print('The total training time for CIFAR-10        (held-out train set) is {:} seconds'.format(all_cifar10_time))
  print('The total training time for CIFAR-100       (held-out train set) is {:} seconds, {:.2f} times longer than that on CIFAR-10'.format(all_cifar100_time, all_cifar100_time / all_cifar10_time))
  print('The total training time for ImageNet-16-120 (held-out train set) is {:} seconds, {:.2f} times longer than that on CIFAR-10'.format(all_imagenet_time, all_imagenet_time / all_cifar10_time))


if __name__ == '__main__':

  api_nats_tss = create(None, 'tss', fast_mode=True, verbose=False)
  show_time(api_nats_tss, 12)

  api_nats_sss = create(None, 'sss', fast_mode=True, verbose=False)
  show_time(api_nats_sss, 12)