115 lines
		
	
	
		
			4.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			115 lines
		
	
	
		
			4.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| ##############################################################################
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| # NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size #
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| ##############################################################################
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| # Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2020.08                          #
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| ##############################################################################
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| # Usage: python exps/NATS-Bench/test-nats-api.py                             #
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| ##############################################################################
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| import os, gc, sys, time, torch, argparse
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| import numpy as np
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| from typing import List, Text, Dict, Any
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| from shutil import copyfile
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| from collections import defaultdict
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| from copy import deepcopy
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| from pathlib import Path
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| import matplotlib
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| import seaborn as sns
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| 
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| matplotlib.use("agg")
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| import matplotlib.pyplot as plt
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| import matplotlib.ticker as ticker
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| 
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| lib_dir = (Path(__file__).parent / ".." / ".." / "lib").resolve()
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| if str(lib_dir) not in sys.path:
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|     sys.path.insert(0, str(lib_dir))
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| from config_utils import dict2config, load_config
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| from nats_bench import create
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| from log_utils import time_string
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| from models import get_cell_based_tiny_net, CellStructure
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| 
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| 
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| def test_api(api, sss_or_tss=True):
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|     print("{:} start testing the api : {:}".format(time_string(), api))
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|     api.clear_params(12)
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|     api.reload(index=12)
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| 
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|     # Query the informations of 1113-th architecture
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|     info_strs = api.query_info_str_by_arch(1113)
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|     print(info_strs)
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|     info = api.query_by_index(113)
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|     print("{:}\n".format(info))
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|     info = api.query_by_index(113, "cifar100")
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|     print("{:}\n".format(info))
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| 
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|     info = api.query_meta_info_by_index(115, "90" if sss_or_tss else "200")
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|     print("{:}\n".format(info))
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| 
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|     for dataset in ["cifar10", "cifar100", "ImageNet16-120"]:
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|         for xset in ["train", "test", "valid"]:
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|             best_index, highest_accuracy = api.find_best(dataset, xset)
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|         print("")
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|     params = api.get_net_param(12, "cifar10", None)
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| 
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|     # Obtain the config and create the network
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|     config = api.get_net_config(12, "cifar10")
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|     print("{:}\n".format(config))
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|     network = get_cell_based_tiny_net(config)
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|     network.load_state_dict(next(iter(params.values())))
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| 
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|     # Obtain the cost information
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|     info = api.get_cost_info(12, "cifar10")
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|     print("{:}\n".format(info))
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|     info = api.get_latency(12, "cifar10")
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|     print("{:}\n".format(info))
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|     for index in [13, 15, 19, 200]:
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|         info = api.get_latency(index, "cifar10")
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| 
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|     # Count the number of architectures
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|     info = api.statistics("cifar100", "12")
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|     print("{:} statistics results : {:}\n".format(time_string(), info))
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| 
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|     # Show the information of the 123-th architecture
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|     api.show(123)
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| 
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|     # Obtain both cost and performance information
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|     info = api.get_more_info(1234, "cifar10")
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|     print("{:}\n".format(info))
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|     print("{:} finish testing the api : {:}".format(time_string(), api))
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| 
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|     if not sss_or_tss:
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|         arch_str = "|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|skip_connect~0|nor_conv_3x3~1|skip_connect~2|"
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|         matrix = api.str2matrix(arch_str)
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|         print("Compute the adjacency matrix of {:}".format(arch_str))
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|         print(matrix)
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|     info = api.simulate_train_eval(123, "cifar10")
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|     print("simulate_train_eval : {:}\n\n".format(info))
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| 
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| 
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| if __name__ == "__main__":
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| 
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|     # api201 = create('./output/NATS-Bench-topology/process-FULL', 'topology', fast_mode=True, verbose=True)
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|     for fast_mode in [True, False]:
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|         for verbose in [True, False]:
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|             api_nats_tss = create(None, "tss", fast_mode=fast_mode, verbose=True)
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|             print(
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|                 "{:} create with fast_mode={:} and verbose={:}".format(
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|                     time_string(), fast_mode, verbose
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|                 )
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|             )
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|             test_api(api_nats_tss, False)
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|             del api_nats_tss
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|             gc.collect()
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| 
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|     for fast_mode in [True, False]:
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|         for verbose in [True, False]:
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|             print(
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|                 "{:} create with fast_mode={:} and verbose={:}".format(
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|                     time_string(), fast_mode, verbose
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|                 )
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|             )
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|             api_nats_sss = create(None, "size", fast_mode=fast_mode, verbose=True)
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|             print("{:} --->>> {:}".format(time_string(), api_nats_sss))
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|             test_api(api_nats_sss, True)
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|             del api_nats_sss
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|             gc.collect()
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