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Update NATS-Bench (sss version 1.2)

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This commit is contained in:
D-X-Y
2020-08-30 08:04:52 +00:00
parent 469a207945
commit 5f151d1970
15 changed files with 317 additions and 229 deletions
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103
lib/nats_bench/api_size.py
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@@ -1,21 +1,23 @@
#####################################################
# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2020.06 #
############################################################################################
# NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size
############################################################################################
# The history of benchmark files:
#
import os, copy, random, torch, numpy as np
##############################################################################
# NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size #
#####################################################################################
# The history of benchmark files (the name is NATS-tss-[version]-[md5].pickle.pbz2) #
# [2020.08.28] NATS-tss-v1_0-50262.pickle.pbz2 #
#####################################################################################
import os, copy, random, numpy as np
from pathlib import Path
from typing import List, Text, Union, Dict, Optional
from collections import OrderedDict, defaultdict
from .api_utils import pickle_load
from .api_utils import ArchResults
from .api_utils import NASBenchMetaAPI
from .api_utils import remap_dataset_set_names
ALL_BENCHMARK_FILES = ['NAS-Bench-301-v1_0-363be7.pth']
ALL_ARCHIVE_DIRS = ['NAS-Bench-301-v1_0-archive']
PICKLE_EXT = 'pickle.pbz2'
ALL_BASE_NAMES = ['NATS-tss-v1_0-50262']
def print_information(information, extra_info=None, show=False):
@@ -54,42 +56,65 @@ This is the class for the API of size search space in NATS-Bench.
class NATSsize(NASBenchMetaAPI):
""" The initialization function that takes the dataset file path (or a dict loaded from that path) as input. """
def __init__(self, file_path_or_dict: Optional[Union[Text, Dict]]=None, verbose: bool=True):
def __init__(self, file_path_or_dict: Optional[Union[Text, Dict]]=None, fast_mode: bool=False, verbose: bool=True):
self.filename = None
self._search_space_name = 'size'
self._fast_mode = fast_mode
self._archive_dir = None
self.reset_time()
if file_path_or_dict is None:
file_path_or_dict = os.path.join(os.environ['TORCH_HOME'], ALL_BENCHMARK_FILES[-1])
print ('Try to use the default NATS-Bench (size) path from {:}.'.format(file_path_or_dict))
if self._fast_mode:
self._archive_dir = os.path.join(os.environ['TORCH_HOME'], '{:}-simple'.format(ALL_BASE_NAMES[-1]))
else:
file_path_or_dict = os.path.join(os.environ['TORCH_HOME'], '{:}.{:}'.format(ALL_BASE_NAMES[-1], PICKLE_EXT))
print ('Try to use the default NATS-Bench (size) path from fast_mode={:} and path={:}.'.format(self._fast_mode, file_path_or_dict))
if isinstance(file_path_or_dict, str) or isinstance(file_path_or_dict, Path):
file_path_or_dict = str(file_path_or_dict)
if verbose: print('try to create the NATS-Bench (size) api from {:}'.format(file_path_or_dict))
assert os.path.isfile(file_path_or_dict), 'invalid path : {:}'.format(file_path_or_dict)
if verbose:
print('Try to create the NATS-Bench (size) api from {:} with fast_mode={:}'.format(file_path_or_dict, fast_mode))
if not os.path.isfile(file_path_or_dict) and not os.path.isdir(file_path_or_dict):
raise ValueError('{:} is neither a file or a dir.'.format(file_path_or_dict))
self.filename = Path(file_path_or_dict).name
file_path_or_dict = torch.load(file_path_or_dict, map_location='cpu')
if fast_mode:
if os.path.isfile(file_path_or_dict):
raise ValueError('fast_mode={:} must feed the path for directory : {:}'.format(fast_mode, file_path_or_dict))
else:
self._archive_dir = file_path_or_dict
else:
if os.path.isdir(file_path_or_dict):
raise ValueError('fast_mode={:} must feed the path for file : {:}'.format(fast_mode, file_path_or_dict))
else:
file_path_or_dict = pickle_load(file_path_or_dict)
elif isinstance(file_path_or_dict, dict):
file_path_or_dict = copy.deepcopy( file_path_or_dict )
else: raise ValueError('invalid type : {:} not in [str, dict]'.format(type(file_path_or_dict)))
assert isinstance(file_path_or_dict, dict), 'It should be a dict instead of {:}'.format(type(file_path_or_dict))
self.verbose = verbose # [TODO] a flag indicating whether to print more logs
keys = ('meta_archs', 'arch2infos', 'evaluated_indexes')
for key in keys: assert key in file_path_or_dict, 'Can not find key[{:}] in the dict'.format(key)
self.meta_archs = copy.deepcopy( file_path_or_dict['meta_archs'] )
# This is a dict mapping each architecture to a dict, where the key is #epochs and the value is ArchResults
self.arch2infos_dict = OrderedDict()
self._avaliable_hps = set()
for xkey in sorted(list(file_path_or_dict['arch2infos'].keys())):
all_infos = file_path_or_dict['arch2infos'][xkey]
hp2archres = OrderedDict()
for hp_key, results in all_infos.items():
hp2archres[hp_key] = ArchResults.create_from_state_dict(results)
self._avaliable_hps.add(hp_key) # save the avaliable hyper-parameter
self.arch2infos_dict[xkey] = hp2archres
self.evaluated_indexes = sorted(list(file_path_or_dict['evaluated_indexes']))
file_path_or_dict = copy.deepcopy(file_path_or_dict)
self.verbose = verbose
if isinstance(file_path_or_dict, dict):
keys = ('meta_archs', 'arch2infos', 'evaluated_indexes')
for key in keys: assert key in file_path_or_dict, 'Can not find key[{:}] in the dict'.format(key)
self.meta_archs = copy.deepcopy(file_path_or_dict['meta_archs'])
# This is a dict mapping each architecture to a dict, where the key is #epochs and the value is ArchResults
self.arch2infos_dict = OrderedDict()
self._avaliable_hps = set()
for xkey in sorted(list(file_path_or_dict['arch2infos'].keys())):
all_infos = file_path_or_dict['arch2infos'][xkey]
hp2archres = OrderedDict()
for hp_key, results in all_infos.items():
hp2archres[hp_key] = ArchResults.create_from_state_dict(results)
self._avaliable_hps.add(hp_key) # save the avaliable hyper-parameter
self.arch2infos_dict[xkey] = hp2archres
self.evaluated_indexes = set(file_path_or_dict['evaluated_indexes'])
elif self.archive_dir is not None:
benchmark_meta = pickle_load('{:}/meta.{:}'.format(self.archive_dir, PICKLE_EXT))
self.meta_archs = copy.deepcopy(benchmark_meta['meta_archs'])
self.arch2infos_dict = OrderedDict()
self._avaliable_hps = set()
self.evaluated_indexes = set()
else:
raise ValueError('file_path_or_dict [{:}] must be a dict or archive_dir must be set'.format(type(file_path_or_dict)))
self.archstr2index = {}
for idx, arch in enumerate(self.meta_archs):
assert arch not in self.archstr2index, 'This [{:}]-th arch {:} already in the dict ({:}).'.format(idx, arch, self.archstr2index[arch])
self.archstr2index[ arch ] = idx
self.archstr2index[arch] = idx
if self.verbose:
print('Create NATS-Bench (size) done with {:}/{:} architectures avaliable.'.format(len(self.evaluated_indexes), len(self.meta_archs)))
@@ -100,7 +125,7 @@ class NATSsize(NASBenchMetaAPI):
if self.verbose:
print('Call clear_params with archive_root={:} and index={:}'.format(archive_root, index))
if archive_root is None:
archive_root = os.path.join(os.environ['TORCH_HOME'], ALL_ARCHIVE_DIRS[-1])
archive_root = os.path.join(os.environ['TORCH_HOME'], '{:}-full'.format(ALL_BASE_NAMES[-1]))
assert os.path.isdir(archive_root), 'invalid directory : {:}'.format(archive_root)
if index is None:
indexes = list(range(len(self)))
@@ -108,16 +133,17 @@ class NATSsize(NASBenchMetaAPI):
indexes = [index]
for idx in indexes:
assert 0 <= idx < len(self.meta_archs), 'invalid index of {:}'.format(idx)
xfile_path = os.path.join(archive_root, '{:06d}-FULL.pth'.format(idx))
xfile_path = os.path.join(archive_root, '{:06d}.{:}'.format(idx, PICKLE_EXT))
if not os.path.isfile(xfile_path):
xfile_path = os.path.join(archive_root, '{:d}-FULL.pth'.format(idx))
xfile_path = os.path.join(archive_root, '{:d}.{:}'.format(idx, PICKLE_EXT))
assert os.path.isfile(xfile_path), 'invalid data path : {:}'.format(xfile_path)
xdata = torch.load(xfile_path, map_location='cpu')
xdata = pickle_load(xfile_path)
assert isinstance(xdata, dict), 'invalid format of data in {:}'.format(xfile_path)
self.evaluated_indexes.add(idx)
hp2archres = OrderedDict()
for hp_key, results in xdata.items():
hp2archres[hp_key] = ArchResults.create_from_state_dict(results)
self._avaliable_hps.add(hp_key)
self.arch2infos_dict[idx] = hp2archres
def query_info_str_by_arch(self, arch, hp: Text='12'):
@@ -153,6 +179,7 @@ class NATSsize(NASBenchMetaAPI):
if self.verbose:
print('Call the get_more_info function with index={:}, dataset={:}, iepoch={:}, hp={:}, and is_random={:}.'.format(index, dataset, iepoch, hp, is_random))
index = self.query_index_by_arch(index) # To avoid the input is a string or an instance of a arch object
self._prepare_info(index)
if index not in self.arch2infos_dict:
raise ValueError('Did not find {:} from arch2infos_dict.'.format(index))
archresult = self.arch2infos_dict[index][str(hp)]