Update NATS-Bench (sss version 1.2)
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#####################################################
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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2020.07 #
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#####################################################
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# NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size
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#####################################################
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#
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#
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##############################################################################
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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2020.07 ##########################
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##############################################################################
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# NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size #
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##############################################################################
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# The official Application Programming Interface (API) for NATS-Bench. #
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##############################################################################
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from .api_utils import pickle_save, pickle_load
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from .api_utils import ArchResults, ResultsCount
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from .api_topology import NATStopology
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from .api_size import NATSsize
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NATS_BENCH_API_VERSIONs = ['v1.0'] # [2020.07.30]
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NATS_BENCH_API_VERSIONs = ['v1.0'] # [2020.08.28]
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def version():
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return NATS_BENCH_API_VERSIONs[-1]
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def create(file_path_or_dict, search_space, verbose=True):
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def create(file_path_or_dict, search_space, fast_mode=False, verbose=True):
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"""Create the instead for NATS API.
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Args:
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file_path_or_dict: None or a file path or a directory path.
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search_space: This is a string indicates the search space in NATS-Bench.
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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;
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If False, we will load all the data during initialization.
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verbose: This is a flag to indicate whether log additional information.
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"""
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if search_space in ['tss', 'topology']:
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return NATStopology(file_path_or_dict, verbose)
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return NATStopology(file_path_or_dict, fast_mode, verbose)
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elif search_space in ['sss', 'size']:
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return NATSsize(file_path_or_dict, verbose)
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return NATSsize(file_path_or_dict, fast_mode, verbose)
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else:
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raise ValueError('invalid search space : {:}'.format(search_space))
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