2023-09-28 07:16:53,998 gpu device = 0
2023-09-28 07:16:53,999 args = Namespace(adaptive=True, batch_size=64, constraint=1000, cutout=False, data='./data', gpu=0, gumbel=True, init_alphas=0, init_channels=16, layers=9, nasbench_data='nasbench_full.tfrecord', output_weights=True, penalty=1, rand_data=False, rand_label=False, report_freq=10, save='search_NAS-NGE/nasbench-S0', search_space='1', seed=0, steps=20)
2023-09-28 07:16:56,314 param size = 1.101402MB
2023-09-28 07:16:57,414 loading data from nasbench
2023-09-28 07:16:57,415 From /home/xxxx/NAS-NGE/nasbench/api.py:146: tf_record_iterator (from tensorflow.python.lib.io.tf_record) is deprecated and will be removed in a future version.
Instructions for updating:
Use eager execution and: 
`tf.data.TFRecordDataset(path)`
2023-09-28 07:19:11,732 start search
2023-09-28 07:19:14,693 Train 000, penalty loss 61.592056
2023-09-28 07:19:14,694 Constraint: 1000.000000
2023-09-28 07:19:14,696 TEST ERROR: 0.068, 0.068, 0.069 | VALID ERROR: 0.064, 0.065, 0.064 | RUNTIME: 1124.428955, 1125.475952, 1125.475952 | PARAMS: 4166026, 4166026, 4166026
2023-09-28 07:19:29,971 Train 010, penalty loss 65.920914
2023-09-28 07:19:29,972 Constraint: 201.796144
2023-09-28 07:19:29,975 TEST ERROR: 0.181, 0.186, 0.185 | VALID ERROR: 0.180, 0.188, 0.182 | RUNTIME: 660.691040, 658.743042, 660.739014 | PARAMS: 1404042, 1404042, 1404042
2023-09-28 07:19:43,871 final evaluation
2023-09-28 07:19:43,874 TEST ERROR: 0.065, 0.064, 0.068 | VALID ERROR: 0.059, 0.061, 0.059 | RUNTIME: 1311.856934, 1314.113037, 1312.753052 | PARAMS: 6230410, 6230410, 6230410
2023-09-28 07:32:16,063 gpu device = 0
2023-09-28 07:32:16,063 args = Namespace(adaptive=True, batch_size=64, constraint=1000, cutout=False, data='./data', gpu=0, gumbel=True, init_alphas=0, init_channels=16, layers=9, nasbench_data='nasbench_full.tfrecord', output_weights=True, penalty=1, rand_data=False, rand_label=False, report_freq=10, save='search_NAS-NGE/nasbench-S0', search_space='2', seed=0, steps=20)
2023-09-28 07:32:18,365 param size = 1.101402MB
2023-09-28 07:32:19,465 loading data from nasbench
2023-09-28 07:32:19,466 From /home/xxxx/NAS-NGE/nasbench/api.py:146: tf_record_iterator (from tensorflow.python.lib.io.tf_record) is deprecated and will be removed in a future version.
Instructions for updating:
Use eager execution and: 
`tf.data.TFRecordDataset(path)`
2023-09-28 07:34:32,883 start search
2023-09-28 07:34:35,428 Train 000, penalty loss 42.565491
2023-09-28 07:34:35,429 Constraint: 1000.000000
2023-09-28 07:34:35,434 TEST ERROR: 0.072, 0.075, 0.077 | VALID ERROR: 0.064, 0.074, 0.070 | RUNTIME: 1608.735962, 1606.917969, 1609.796021 | PARAMS: 4271539, 4271539, 4271539
2023-09-28 07:34:51,580 Train 010, penalty loss -15.342827
2023-09-28 07:34:51,582 Constraint: 214.422133
2023-09-28 07:34:51,585 TEST ERROR: 0.079, 0.080, 0.084 | VALID ERROR: 0.072, 0.077, 0.080 | RUNTIME: 1919.307983, 1918.194092, 1919.562012 | PARAMS: 4779018, 4779018, 4779018
2023-09-28 07:35:06,256 final evaluation
2023-09-28 07:35:06,262 TEST ERROR: 0.078, 0.076, 0.073 | VALID ERROR: 0.075, 0.068, 0.067 | RUNTIME: 2097.286133, 2093.477051, 2092.572021 | PARAMS: 6406538, 6406538, 6406538
2023-09-28 07:47:16,919 gpu device = 0
2023-09-28 07:47:16,919 args = Namespace(adaptive=True, batch_size=64, constraint=1000, cutout=False, data='./data', gpu=0, gumbel=True, init_alphas=0, init_channels=16, layers=9, nasbench_data='nasbench_full.tfrecord', output_weights=True, penalty=1, rand_data=False, rand_label=False, report_freq=10, save='search_NAS-NGE/nasbench-S0', search_space='3', seed=0, steps=20)
2023-09-28 07:47:19,183 param size = 1.509594MB
2023-09-28 07:47:20,315 loading data from nasbench
2023-09-28 07:47:20,316 From /home/xxxx/NAS-NGE/nasbench/api.py:146: tf_record_iterator (from tensorflow.python.lib.io.tf_record) is deprecated and will be removed in a future version.
Instructions for updating:
Use eager execution and: 
`tf.data.TFRecordDataset(path)`
2023-09-28 07:49:32,197 start search
2023-09-28 07:49:35,118 Train 000, penalty loss 42.878479
2023-09-28 07:49:35,118 Constraint: 1000.000000
2023-09-28 07:49:35,120 TEST ERROR: 0.072, 0.073, 0.073 | VALID ERROR: 0.066, 0.071, 0.067 | RUNTIME: 860.057983, 859.416016, 858.820007 | PARAMS: 5095946, 5095946, 5095946
2023-09-28 07:49:54,189 Train 010, penalty loss 126.486115
2023-09-28 07:49:54,191 Constraint: 236.231767
2023-09-28 07:49:54,194 TEST ERROR: 0.091, 0.092, 0.087 | VALID ERROR: 0.086, 0.090, 0.084 | RUNTIME: 1007.054016, 1006.187012, 1007.052979 | PARAMS: 3468426, 3468426, 3468426
2023-09-28 07:50:11,623 final evaluation
2023-09-28 07:50:11,628 TEST ERROR: 0.091, 0.092, 0.087 | VALID ERROR: 0.086, 0.090, 0.084 | RUNTIME: 1007.054016, 1006.187012, 1007.052979 | PARAMS: 3468426, 3468426, 3468426
