Clean unnecessary files

exps/AA-NAS-test-API.py

@@ -1,69 +0,0 @@
-import os, sys, time, queue, torch
-from pathlib import Path
-
-lib_dir = (Path(__file__).parent / '..' / 'lib').resolve()
-if str(lib_dir) not in sys.path: sys.path.insert(0, str(lib_dir))
-
-from log_utils  import time_string
-from aa_nas_api import AANASBenchAPI, ArchResults
-from models     import CellStructure
-
-
-def get_unique_matrix(archs, consider_zero):
-  UniquStrs = [arch.to_unique_str(consider_zero) for arch in archs]
-  print ('{:} create unique-string ({:}/{:}) done'.format(time_string(), len(set(UniquStrs)), len(UniquStrs)))
-  Unique2Index = dict()
-  for index, xstr in enumerate(UniquStrs):
-    if xstr not in Unique2Index: Unique2Index[xstr] = list()
-    Unique2Index[xstr].append( index )
-  sm_matrix = torch.eye(len(archs)).bool()
-  for _, xlist in Unique2Index.items():
-    for i in xlist:
-      for j in xlist:
-        sm_matrix[i,j] = True
-  unique_ids, unique_num = [-1 for _ in archs], 0
-  for i in range(len(unique_ids)):
-    if unique_ids[i] > -1: continue
-    neighbours = sm_matrix[i].nonzero().view(-1).tolist()
-    for nghb in neighbours:
-      assert unique_ids[nghb] == -1, 'impossible'
-      unique_ids[nghb] = unique_num
-    unique_num += 1
-  return sm_matrix, unique_ids, unique_num
-
-
-def check_unique_arch():
-  print ('{:} start'.format(time_string()))
-  meta_info = torch.load('./output/AA-NAS-BENCH-4/meta-node-4.pth')
-  arch_strs = meta_info['archs']
-  archs     = [CellStructure.str2structure(arch_str) for arch_str in arch_strs]
-  """
-  for i, arch in enumerate(archs):
-    if not arch.check_valid():
-      print('{:05d} {:}'.format(i, arch))
-      #start = int(i / 390.) * 390
-      #xxend = start + 389
-      #print ('/home/dxy/search-configures/output/TINY-NAS-BENCHMARK-4/{:06d}-{:06d}-C16-N5/arch-{:06d}-seed-0888.pth'.format(start, xxend, i))
-  """
-  print ('There are {:} valid-archs'.format( sum(arch.check_valid() for arch in archs) ))
-  sm_matrix, uniqueIDs, unique_num = get_unique_matrix(archs, False)
-  save_dir = './output/cell-search-tiny/same-matrix.pth'
-  torch.save(sm_matrix, save_dir)
-  print ('{:} There are {:} unique architectures (not considering zero).'.format(time_string(), unique_num))
-  sm_matrix, uniqueIDs, unique_num = get_unique_matrix(archs,  True)
-  print ('{:} There are {:} unique architectures (considering zero).'.format(time_string(), unique_num))
-
-
-def test_aa_nas_api():
-  arch_result = ArchResults.create_from_state_dict('output/AA-NAS-BENCH-4/simplifies/architectures/000002-FULL.pth')
-  arch_result.show(True)
-  result = arch_result.query('cifar100')
-  #xfile = 'output/AA-NAS-BENCH-4/simplifies/000000-000389-C16-N5.pth'
-  api = AANASBenchAPI('output/AA-NAS-BENCH-4/simplifies/C16-N5-final-infos.pth')
-  results = api.query_by_index(1, 'cifar100')
-  print ('There are {:} trials for this architecture [{:}] on cifar10'.format(len(results), api[1]))
-  import pdb; pdb.set_trace()
-
-if __name__ == '__main__':
-  #check_unique_arch()
-  test_aa_nas_api()