70 lines
2.9 KiB
Python
70 lines
2.9 KiB
Python
import os, sys, time, queue, torch
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from pathlib import Path
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lib_dir = (Path(__file__).parent / '..' / 'lib').resolve()
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if str(lib_dir) not in sys.path: sys.path.insert(0, str(lib_dir))
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from log_utils import time_string
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from aa_nas_api import AANASBenchAPI, ArchResults
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from models import CellStructure
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def get_unique_matrix(archs, consider_zero):
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UniquStrs = [arch.to_unique_str(consider_zero) for arch in archs]
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print ('{:} create unique-string ({:}/{:}) done'.format(time_string(), len(set(UniquStrs)), len(UniquStrs)))
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Unique2Index = dict()
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for index, xstr in enumerate(UniquStrs):
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if xstr not in Unique2Index: Unique2Index[xstr] = list()
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Unique2Index[xstr].append( index )
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sm_matrix = torch.eye(len(archs)).bool()
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for _, xlist in Unique2Index.items():
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for i in xlist:
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for j in xlist:
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sm_matrix[i,j] = True
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unique_ids, unique_num = [-1 for _ in archs], 0
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for i in range(len(unique_ids)):
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if unique_ids[i] > -1: continue
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neighbours = sm_matrix[i].nonzero().view(-1).tolist()
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for nghb in neighbours:
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assert unique_ids[nghb] == -1, 'impossible'
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unique_ids[nghb] = unique_num
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unique_num += 1
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return sm_matrix, unique_ids, unique_num
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def check_unique_arch():
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print ('{:} start'.format(time_string()))
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meta_info = torch.load('./output/AA-NAS-BENCH-4/meta-node-4.pth')
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arch_strs = meta_info['archs']
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archs = [CellStructure.str2structure(arch_str) for arch_str in arch_strs]
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"""
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for i, arch in enumerate(archs):
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if not arch.check_valid():
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print('{:05d} {:}'.format(i, arch))
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#start = int(i / 390.) * 390
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#xxend = start + 389
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#print ('/home/dxy/search-configures/output/TINY-NAS-BENCHMARK-4/{:06d}-{:06d}-C16-N5/arch-{:06d}-seed-0888.pth'.format(start, xxend, i))
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"""
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print ('There are {:} valid-archs'.format( sum(arch.check_valid() for arch in archs) ))
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sm_matrix, uniqueIDs, unique_num = get_unique_matrix(archs, False)
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save_dir = './output/cell-search-tiny/same-matrix.pth'
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torch.save(sm_matrix, save_dir)
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print ('{:} There are {:} unique architectures (not considering zero).'.format(time_string(), unique_num))
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sm_matrix, uniqueIDs, unique_num = get_unique_matrix(archs, True)
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print ('{:} There are {:} unique architectures (considering zero).'.format(time_string(), unique_num))
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def test_aa_nas_api():
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arch_result = ArchResults.create_from_state_dict('output/AA-NAS-BENCH-4/simplifies/architectures/000002-FULL.pth')
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arch_result.show(True)
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result = arch_result.query('cifar100')
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#xfile = 'output/AA-NAS-BENCH-4/simplifies/000000-000389-C16-N5.pth'
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api = AANASBenchAPI('output/AA-NAS-BENCH-4/simplifies/C16-N5-final-infos.pth')
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results = api.query_by_index(1, 'cifar100')
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print ('There are {:} trials for this architecture [{:}] on cifar10'.format(len(results), api[1]))
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import pdb; pdb.set_trace()
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if __name__ == '__main__':
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#check_unique_arch()
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test_aa_nas_api()
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