Update NATS-Bench (sss version 1.2)
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| ############################################################### | ||||
| # NAS-Bench-201, ICLR 2020 (https://arxiv.org/abs/2001.00326) # | ||||
| ############################################################### | ||||
| # NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size | ||||
| ############################################################### | ||||
| # Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2020.06           # | ||||
| ############################################################### | ||||
| # Usage: python exps/NAS-Bench-201/test-nas-api.py            # | ||||
| ############################################################### | ||||
| import os, sys, time, torch, argparse | ||||
| import numpy as np | ||||
| from typing import List, Text, Dict, Any | ||||
| from shutil import copyfile | ||||
| from collections import defaultdict | ||||
| from copy    import deepcopy | ||||
| from pathlib import Path | ||||
| import matplotlib | ||||
| import seaborn as sns | ||||
| matplotlib.use('agg') | ||||
| import matplotlib.pyplot as plt | ||||
| import matplotlib.ticker as ticker | ||||
|  | ||||
| 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 nats_bench import create | ||||
| from log_utils import time_string | ||||
| from models import get_cell_based_tiny_net, CellStructure | ||||
|  | ||||
|  | ||||
| def test_api(api, is_301=True): | ||||
|   print('{:} start testing the api : {:}'.format(time_string(), api)) | ||||
|   api.clear_params(12) | ||||
|   api.reload(index=12) | ||||
|    | ||||
|   # Query the informations of 1113-th architecture | ||||
|   info_strs = api.query_info_str_by_arch(1113) | ||||
|   print(info_strs) | ||||
|   info = api.query_by_index(113) | ||||
|   print('{:}\n'.format(info)) | ||||
|   info = api.query_by_index(113, 'cifar100') | ||||
|   print('{:}\n'.format(info)) | ||||
|  | ||||
|   info = api.query_meta_info_by_index(115, '90' if is_301 else '200') | ||||
|   print('{:}\n'.format(info)) | ||||
|  | ||||
|   for dataset in ['cifar10', 'cifar100', 'ImageNet16-120']: | ||||
|     for xset in ['train', 'test', 'valid']: | ||||
|       best_index, highest_accuracy = api.find_best(dataset, xset) | ||||
|     print('') | ||||
|   params = api.get_net_param(12, 'cifar10', None) | ||||
|  | ||||
|   # Obtain the config and create the network | ||||
|   config = api.get_net_config(12, 'cifar10') | ||||
|   print('{:}\n'.format(config)) | ||||
|   network = get_cell_based_tiny_net(config) | ||||
|   network.load_state_dict(next(iter(params.values()))) | ||||
|  | ||||
|   # Obtain the cost information | ||||
|   info = api.get_cost_info(12, 'cifar10') | ||||
|   print('{:}\n'.format(info)) | ||||
|   info = api.get_latency(12, 'cifar10') | ||||
|   print('{:}\n'.format(info)) | ||||
|  | ||||
|   # Count the number of architectures | ||||
|   info = api.statistics('cifar100', '12') | ||||
|   print('{:}\n'.format(info)) | ||||
|  | ||||
|   # Show the information of the 123-th architecture | ||||
|   api.show(123) | ||||
|  | ||||
|   # Obtain both cost and performance information | ||||
|   info = api.get_more_info(1234, 'cifar10') | ||||
|   print('{:}\n'.format(info)) | ||||
|   print('{:} finish testing the api : {:}'.format(time_string(), api)) | ||||
|  | ||||
|   if not is_301: | ||||
|     arch_str = '|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|skip_connect~0|nor_conv_3x3~1|skip_connect~2|' | ||||
|     matrix = api.str2matrix(arch_str) | ||||
|     print('Compute the adjacency matrix of {:}'.format(arch_str)) | ||||
|     print(matrix) | ||||
|   info = api.simulate_train_eval(123, 'cifar10') | ||||
|   print('simulate_train_eval : {:}'.format(info)) | ||||
|  | ||||
|  | ||||
| def test_issue_81_82(api): | ||||
|   results = api.query_by_index(0, 'cifar10-valid', hp='12') | ||||
|   results = api.query_by_index(0, 'cifar10-valid', hp='200') | ||||
|   print(list(results.keys())) | ||||
|   print(results[888].get_eval('valid')) | ||||
|   print(results[888].get_eval('x-valid')) | ||||
|   result_dict = api.get_more_info(index=0, dataset='cifar10-valid', iepoch=11, hp='200', is_random=False) | ||||
|   info = api.query_by_arch('|nor_conv_3x3~0|+|skip_connect~0|nor_conv_3x3~1|+|skip_connect~0|none~1|nor_conv_3x3~2|', '200') | ||||
|   print(info) | ||||
|   structure = CellStructure.str2structure('|nor_conv_3x3~0|+|skip_connect~0|nor_conv_3x3~1|+|skip_connect~0|none~1|nor_conv_3x3~2|') | ||||
|   info = api.query_by_arch(structure, '200') | ||||
|   print(info) | ||||
|  | ||||
|  | ||||
| if __name__ == '__main__': | ||||
|  | ||||
|   api201 = create(os.path.join(os.environ['TORCH_HOME'], 'NAS-Bench-201-v1_0-e61699.pth'), 'topology', True) | ||||
|   test_issue_81_82(api201) | ||||
|   print ('Test {:} done'.format(api201)) | ||||
|  | ||||
|   api201 = create(None, 'topology', True)  # use the default file path | ||||
|   test_issue_81_82(api201) | ||||
|   test_api(api201, False) | ||||
|   print ('Test {:} done'.format(api201)) | ||||
|  | ||||
|   api301 = create(None, 'size', True) | ||||
|   test_api(api301, True) | ||||
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