Support accumulate and reset time function for API
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@@ -58,6 +58,7 @@ class NASBench201API(NASBenchMetaAPI):
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def __init__(self, file_path_or_dict: Optional[Union[Text, Dict]]=None,
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verbose: bool=True):
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self.filename = None
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self.reset_time()
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if file_path_or_dict is None:
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file_path_or_dict = os.path.join(os.environ['TORCH_HOME'], ALL_BENCHMARK_FILES[-1])
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print ('Try to use the default NAS-Bench-201 path from {:}.'.format(file_path_or_dict))
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@@ -57,6 +57,7 @@ class NASBench301API(NASBenchMetaAPI):
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""" The initialization function that takes the dataset file path (or a dict loaded from that path) as input. """
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def __init__(self, file_path_or_dict: Optional[Union[Text, Dict]]=None, verbose: bool=True):
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self.filename = None
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self.reset_time()
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if file_path_or_dict is None:
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file_path_or_dict = os.path.join(os.environ['TORCH_HOME'], ALL_BENCHMARK_FILES[-1])
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if isinstance(file_path_or_dict, str) or isinstance(file_path_or_dict, Path):
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@@ -128,7 +129,7 @@ class NASBench301API(NASBenchMetaAPI):
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"""
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if self.verbose:
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print('Call query_info_str_by_arch with arch={:} and hp={:}'.format(arch, hp))
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self._query_info_str_by_arch(arch, hp, print_information)
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return self._query_info_str_by_arch(arch, hp, print_information)
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def get_more_info(self, index: int, dataset: Text, iepoch=None, hp='12', is_random=True):
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"""This function will return the metric for the `index`-th architecture
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@@ -61,6 +61,25 @@ class NASBenchMetaAPI(metaclass=abc.ABCMeta):
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def avaliable_hps(self):
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return list(copy.deepcopy(self._avaliable_hps))
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@property
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def used_time(self):
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return self._used_time
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def reset_time(self):
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self._used_time = 0
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def simulate_train_eval(self, arch, dataset, hp='12'):
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index = self.query_index_by_arch(arch)
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all_names = ('cifar10', 'cifar100', 'ImageNet16-120')
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assert dataset in all_names, 'Invalid dataset name : {:} vs {:}'.format(dataset, all_names)
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if dataset == 'cifar10':
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info = self.get_more_info(index, 'cifar10-valid', iepoch=None, hp=hp, is_random=True)
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else:
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info = self.get_more_info(index, dataset, iepoch=None, hp=hp, is_random=True)
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valid_acc, time_cost = info['valid-accuracy'], info['train-all-time'] + info['valid-per-time']
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self._used_time += time_cost
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return valid_acc, time_cost, self._used_time
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def random(self):
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"""Return a random index of all architectures."""
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return random.randint(0, len(self.meta_archs)-1)
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