autodl-projects/lib/nats_bench/__init__.py
2020-12-19 23:42:21 +08:00

71 lines
2.8 KiB
Python

##############################################################################
# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2020.08 ##########################
##############################################################################
# NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size #
##############################################################################
"""The official Application Programming Interface (API) for NATS-Bench."""
from nats_bench.api_size import NATSsize
from nats_bench.api_topology import NATStopology
from nats_bench.api_utils import ArchResults
from nats_bench.api_utils import pickle_load
from nats_bench.api_utils import pickle_save
from nats_bench.api_utils import ResultsCount
NATS_BENCH_API_VERSIONs = ['v1.0', # [2020.08.31]
'v1.1'] # [2020.12.20] adding unit tests
NATS_BENCH_SSS_NAMEs = ('sss', 'size')
NATS_BENCH_TSS_NAMEs = ('tss', 'topology')
def version():
return NATS_BENCH_API_VERSIONs[-1]
def create(file_path_or_dict, search_space, fast_mode=False, verbose=True):
"""Create the instead for NATS API.
Args:
file_path_or_dict: None or a file path or a directory path.
search_space: This is a string indicates the search space in NATS-Bench.
fast_mode: If True, we will not load all the data at initialization,
instead, the data for each candidate architecture will be loaded when
quering it; If False, we will load all the data during initialization.
verbose: This is a flag to indicate whether log additional information.
Raises:
ValueError: If not find the matched serach space description.
Returns:
The created NATS-Bench API.
"""
if search_space in NATS_BENCH_TSS_NAMEs:
return NATStopology(file_path_or_dict, fast_mode, verbose)
elif search_space in NATS_BENCH_SSS_NAMEs:
return NATSsize(file_path_or_dict, fast_mode, verbose)
else:
raise ValueError('invalid search space : {:}'.format(search_space))
def search_space_info(main_tag, aux_tag):
"""Obtain the search space information."""
nats_sss = dict(candidates=[8, 16, 24, 32, 40, 48, 56, 64],
num_layers=5)
nats_tss = dict(op_names=['none', 'skip_connect',
'nor_conv_1x1', 'nor_conv_3x3',
'avg_pool_3x3'],
num_nodes=4)
if main_tag == 'nats-bench':
if aux_tag in NATS_BENCH_SSS_NAMEs:
return nats_sss
elif aux_tag in NATS_BENCH_TSS_NAMEs:
return nats_tss
else:
raise ValueError('Unknown auxiliary tag: {:}'.format(aux_tag))
elif main_tag == 'nas-bench-201':
if aux_tag is not None:
raise ValueError('For NAS-Bench-201, the auxiliary tag should be None.')
return nats_tss
else:
raise ValueError('Unknown main tag: {:}'.format(main_tag))