2023-09-28 07:20:04,325 gpu device = 0
2023-09-28 07:20:04,325 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-S1', search_space='1', seed=1, steps=20)
2023-09-28 07:20:06,587 param size = 1.101402MB
2023-09-28 07:20:07,694 loading data from nasbench
2023-09-28 07:20:07,695 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 07:22:19,137 start search
2023-09-28 07:22:21,816 Train 000, penalty loss 26.471909
2023-09-28 07:22:21,817 Constraint: 1000.000000
2023-09-28 07:22:21,822 TEST ERROR: 0.062, 0.063, 0.065 | VALID ERROR: 0.061, 0.056, 0.059 | RUNTIME: 1772.358887, 1773.746948, 1772.117920 | PARAMS: 8992394, 8992394, 8992394
2023-09-28 07:22:37,130 Train 010, penalty loss 180.693024
2023-09-28 07:22:37,132 Constraint: 273.647120
2023-09-28 07:22:37,136 TEST ERROR: 0.062, 0.063, 0.065 | VALID ERROR: 0.061, 0.056, 0.059 | RUNTIME: 1772.358887, 1773.746948, 1772.117920 | PARAMS: 8992394, 8992394, 8992394
2023-09-28 07:22:51,209 final evaluation
2023-09-28 07:22:51,212 TEST ERROR: 0.067, 0.064, 0.067 | VALID ERROR: 0.063, 0.061, 0.062 | RUNTIME: 1030.001953, 1033.086914, 1032.686035 | PARAMS: 5532810, 5532810, 5532810
2023-09-28 07:35:17,761 gpu device = 0
2023-09-28 07:35:17,761 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-S1', search_space='2', seed=1, steps=20)
2023-09-28 07:35:20,025 param size = 1.101402MB
2023-09-28 07:35:21,116 loading data from nasbench
2023-09-28 07:35:21,117 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 07:37:33,462 start search
2023-09-28 07:37:36,049 Train 000, penalty loss 19.630707
2023-09-28 07:37:36,050 Constraint: 1000.000000
2023-09-28 07:37:36,054 TEST ERROR: 0.109, 0.111, 0.111 | VALID ERROR: 0.101, 0.105, 0.105 | RUNTIME: 904.729980, 904.140991, 904.276001 | PARAMS: 1114758, 1114758, 1114758
2023-09-28 07:37:52,460 Train 010, penalty loss 283.644196
2023-09-28 07:37:52,463 Constraint: 373.270444
2023-09-28 07:37:52,466 TEST ERROR: 0.073, 0.066, 0.073 | VALID ERROR: 0.065, 0.061, 0.063 | RUNTIME: 1221.552979, 1226.154053, 1225.651001 | PARAMS: 3905290, 3905290, 3905290
2023-09-28 07:38:07,280 final evaluation
2023-09-28 07:38:07,284 TEST ERROR: 0.073, 0.066, 0.073 | VALID ERROR: 0.065, 0.061, 0.063 | RUNTIME: 1221.552979, 1226.154053, 1225.651001 | PARAMS: 3905290, 3905290, 3905290
2023-09-28 07:50:23,223 gpu device = 0
2023-09-28 07:50:23,223 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-S1', search_space='3', seed=1, steps=20)
2023-09-28 07:50:25,527 param size = 1.509594MB
2023-09-28 07:50:26,655 loading data from nasbench
2023-09-28 07:50:26,656 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 07:52:38,900 start search
2023-09-28 07:52:42,231 Train 000, penalty loss -29.333565
2023-09-28 07:52:42,231 Constraint: 1000.000000
2023-09-28 07:52:42,236 TEST ERROR: 0.103, 0.104, 0.094 | VALID ERROR: 0.097, 0.097, 0.086 | RUNTIME: 1055.614990, 1055.302979, 1055.164062 | PARAMS: 5095946, 5095946, 5095946
2023-09-28 07:53:01,477 Train 010, penalty loss 104.737419
2023-09-28 07:53:01,478 Constraint: 197.602228
2023-09-28 07:53:01,480 TEST ERROR: 0.094, 0.087, 0.085 | VALID ERROR: 0.088, 0.081, 0.076 | RUNTIME: 1062.114990, 1061.776978, 1063.697998 | PARAMS: 3207690, 3207690, 3207690
2023-09-28 07:53:19,016 final evaluation
2023-09-28 07:53:19,021 TEST ERROR: 0.092, 0.100, 0.099 | VALID ERROR: 0.091, 0.094, 0.093 | RUNTIME: 1060.401978, 1063.176025, 1063.026001 | PARAMS: 3207690, 3207690, 3207690
