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c_n2_r1_m6.txt
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c_n2_r1_m6.txt
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==========================================
SLURM_JOB_ID = 658971
SLURM_NODELIST = gnode45
SLURM_JOB_GPUS = 0,1,2,3
==========================================
auto_trainer.py INFO 87: train_conf_name : c_n2_r1_m6
auto_trainer.py INFO 88: Device : cuda
auto_trainer.py INFO 89: conf file
auto_trainer.py INFO 90: {'para': {'train_batch_size': 100000, 'train_small_batch_size': 25000, 'test_size': 50000, 'full_iterations': 1, 'enc_train_iters': 5, 'dec_train_iters': 25, 'hidden_size': 64, 'lr': 1e-05, 'seed': 1, 'n': 2, 'r': 1, 'm': 6, 'code_length': 64, 'code_dimension': 7, 'enc_train_snr': 4, 'dec_train_snr': 2, 'data_type': 'n2_r1_m6', 'logger_name': 'C_n2_r1_m6_train', 'CUDA_VISIBLE_DEVICES': '1', 'train_save_path_dir': './save/{}/C_{}', 'train_save_path_encoder': './save/{}/C_{}/enc_{}.pth', 'train_save_path_decoder': './save/{}/C_{}/dec_{}.pth', 'retrain': False, 'retrain_day': 'Jan-05-2022', 'retrain_epoch_num': 21}, 'test': {'snr_list': '-3,-2,-1,0,1,2,3,4,5,6,7', 'Boosting_number_list': '1,2,3', 'day': 'Apr-23-2022', 'epoch_num': 1, 'logger_name': 'C_n2_r1_m6_test', 'test_model_path_encoder': './save/{}/C_{}/enc_{}.pth', 'test_model_path_decoder': './save/{}/C_{}/dec_{}.pth'}}
auto_trainer.py INFO 91: We are on!!!
auto_trainer.py INFO 203: [1/1] At ENC SNR 4.000000 dB DEC SNR 2.000000 dB, Loss: 0.0783158839 BER: 0.0000000000
auto_trainer.py INFO 205: Time for one full iteration is 0.4345 minutes
auto_trainer.py WARNING 232: Finished
train conf_name: c_n2_r1_m6
cuda 1
code_dimension 7
code_length 64
Decoder 0
Decoder 1
Decoder 2
Decoder 3
Decoder 4
Decoder 5
Decoder 6
Decoder 7
Decoder 8
Decoder 9
Decoder 10
Decoder 11
Decoder 12
Decoder 13
Decoder 14
Decoder 15
Decoder 16
Decoder 17
Decoder 18
Decoder 19
Decoder 20
Decoder 21
Decoder 22
Decoder 23
Decoder 24
Encoder 0
Encoder 1
Encoder 2
Encoder 3
Encoder 4
auto_tester.py INFO 125: test_conf_name : c_n2_r1_m6
auto_tester.py INFO 126: Device : cuda
auto_tester.py INFO 173: Testing c_n2_r1_m6 trained till epoch_num 1
auto_tester.py INFO 174: Model trained on Apr-23-2022
auto_tester.py INFO 175: Less go!
auto_tester.py WARNING 88: [Testing Block] Burman SNR=-3 : BER=0.1156257
auto_tester.py WARNING 89: [Testing Block] GKO SNR=-3 : BER=0.0120429
auto_tester.py INFO 90: Time for one full iteration is 8.8540 minutes
auto_tester.py WARNING 88: [Testing Block] Burman SNR=-2 : BER=0.0634514
auto_tester.py WARNING 89: [Testing Block] GKO SNR=-2 : BER=0.0031457
auto_tester.py INFO 90: Time for one full iteration is 7.1250 minutes
auto_tester.py WARNING 88: [Testing Block] Burman SNR=-1 : BER=0.0268543
auto_tester.py WARNING 89: [Testing Block] GKO SNR=-1 : BER=0.0006000
auto_tester.py INFO 90: Time for one full iteration is 5.4851 minutes
auto_tester.py WARNING 88: [Testing Block] Burman SNR=0 : BER=0.0081457
auto_tester.py WARNING 89: [Testing Block] GKO SNR=0 : BER=0.0000400
auto_tester.py INFO 90: Time for one full iteration is 4.2409 minutes
auto_tester.py WARNING 88: [Testing Block] Burman SNR=1 : BER=0.0012857
auto_tester.py WARNING 89: [Testing Block] GKO SNR=1 : BER=0.0000000
auto_tester.py INFO 90: Time for one full iteration is 3.4458 minutes
auto_tester.py WARNING 88: [Testing Block] Burman SNR=2 : BER=0.0001429
auto_tester.py WARNING 89: [Testing Block] GKO SNR=2 : BER=0.0000000
auto_tester.py INFO 90: Time for one full iteration is 2.9844 minutes
auto_tester.py WARNING 88: [Testing Block] Burman SNR=3 : BER=0.0000057
auto_tester.py WARNING 89: [Testing Block] GKO SNR=3 : BER=0.0000000
auto_tester.py INFO 90: Time for one full iteration is 2.7049 minutes
auto_tester.py WARNING 88: [Testing Block] Burman SNR=4 : BER=0.0000000
auto_tester.py WARNING 89: [Testing Block] GKO SNR=4 : BER=0.0000000
auto_tester.py INFO 90: Time for one full iteration is 2.5444 minutes
auto_tester.py WARNING 88: [Testing Block] Burman SNR=5 : BER=0.0000000
auto_tester.py WARNING 89: [Testing Block] GKO SNR=5 : BER=0.0000000
auto_tester.py INFO 90: Time for one full iteration is 2.4462 minutes
auto_tester.py WARNING 88: [Testing Block] Burman SNR=6 : BER=0.0000000
auto_tester.py WARNING 89: [Testing Block] GKO SNR=6 : BER=0.0000000
auto_tester.py INFO 90: Time for one full iteration is 2.3873 minutes
auto_tester.py WARNING 88: [Testing Block] Burman SNR=7 : BER=0.0000000
auto_tester.py WARNING 89: [Testing Block] GKO SNR=7 : BER=0.0000000
auto_tester.py INFO 90: Time for one full iteration is 2.3519 minutes
train conf_name: c_n2_r1_m6
cuda 1
code_dimension 7
code_length 64