2023-09-28 07:26:10,482 gpu device = 0
2023-09-28 07:26:10,482 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-S3', search_space='1', seed=3, steps=20)
2023-09-28 07:26:12,778 param size = 1.101402MB
2023-09-28 07:26:13,878 loading data from nasbench
2023-09-28 07:26:13,879 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 07:28:28,354 start search
2023-09-28 07:28:30,901 Train 000, penalty loss 51.769035
2023-09-28 07:28:30,901 Constraint: 1000.000000
2023-09-28 07:28:30,906 TEST ERROR: 0.080, 0.089, 0.083 | VALID ERROR: 0.075, 0.081, 0.078 | RUNTIME: 907.046021, 905.291992, 905.932007 | PARAMS: 3207690, 3207690, 3207690
2023-09-28 07:28:46,451 Train 010, penalty loss -27.210083
2023-09-28 07:28:46,453 Constraint: 183.111505
2023-09-28 07:28:46,456 TEST ERROR: 0.116, 0.110, 0.111 | VALID ERROR: 0.117, 0.107, 0.105 | RUNTIME: 944.174988, 945.511963, 946.104980 | PARAMS: 1756298, 1756298, 1756298
2023-09-28 07:29:00,588 final evaluation
2023-09-28 07:29:00,593 TEST ERROR: 0.116, 0.110, 0.111 | VALID ERROR: 0.117, 0.107, 0.105 | RUNTIME: 944.174988, 945.511963, 946.104980 | PARAMS: 1756298, 1756298, 1756298
2023-09-28 07:41:16,037 gpu device = 0
2023-09-28 07:41:16,037 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-S3', search_space='2', seed=3, steps=20)
2023-09-28 07:41:18,336 param size = 1.101402MB
2023-09-28 07:41:19,419 loading data from nasbench
2023-09-28 07:41:19,420 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 07:43:29,200 start search
2023-09-28 07:43:31,734 Train 000, penalty loss 10.463989
2023-09-28 07:43:31,734 Constraint: 1000.000000
2023-09-28 07:43:31,739 TEST ERROR: 0.121, 0.117, 0.122 | VALID ERROR: 0.113, 0.115, 0.113 | RUNTIME: 977.811035, 976.886963, 977.787964 | PARAMS: 999828, 999828, 999828
2023-09-28 07:43:47,484 Train 010, penalty loss -56.618645
2023-09-28 07:43:47,486 Constraint: 233.959053
2023-09-28 07:43:47,490 TEST ERROR: 0.119, 0.122, 0.116 | VALID ERROR: 0.112, 0.117, 0.118 | RUNTIME: 898.921021, 903.440979, 899.661011 | PARAMS: 823691, 823691, 823691
2023-09-28 07:44:01,796 final evaluation
2023-09-28 07:44:01,801 TEST ERROR: 0.083, 0.087, 0.077 | VALID ERROR: 0.077, 0.076, 0.079 | RUNTIME: 1001.299988, 999.117004, 1000.416016 | PARAMS: 1859990, 1859990, 1859990
2023-09-28 07:56:53,097 gpu device = 0
2023-09-28 07:56:53,097 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-S3', search_space='3', seed=3, steps=20)
2023-09-28 07:56:55,412 param size = 1.509594MB
2023-09-28 07:56:56,547 loading data from nasbench
2023-09-28 07:56:56,547 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 07:59:08,842 start search
2023-09-28 07:59:11,832 Train 000, penalty loss 139.460175
2023-09-28 07:59:11,833 Constraint: 1000.000000
2023-09-28 07:59:11,838 TEST ERROR: 0.132, 0.129, 0.125 | VALID ERROR: 0.130, 0.130, 0.124 | RUNTIME: 723.223999, 719.153015, 719.607056 | PARAMS: 967178, 967178, 967178
2023-09-28 07:59:31,512 Train 010, penalty loss 265.547913
2023-09-28 07:59:31,515 Constraint: 343.470087
2023-09-28 07:59:31,518 TEST ERROR: 0.114, 0.111, 0.117 | VALID ERROR: 0.105, 0.105, 0.113 | RUNTIME: 1439.791992, 1441.354980, 1440.929932 | PARAMS: 3468426, 3468426, 3468426
2023-09-28 07:59:49,573 final evaluation
2023-09-28 07:59:49,577 TEST ERROR: 0.097, 0.094, 0.108 | VALID ERROR: 0.090, 0.089, 0.099 | RUNTIME: 1275.614990, 1275.520020, 1279.180908 | PARAMS: 3989898, 3989898, 3989898
