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