32k-himari/train.log

2023-02-08 12:31:51,785	32k	INFO	{'train': {'log_interval': 200, 'eval_interval': 1000, 'seed': 1234, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': False, 'lr_decay': 0.999875, 'segment_size': 17920, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 384, 'port': '8001'}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 32000, 'filter_length': 1280, 'hop_length': 320, 'win_length': 1280, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': None}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0.1, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 8, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 2}, 'spk': {'himari': 0}, 'model_dir': './logs\\32k'}
2023-02-08 12:32:08,385	32k	INFO	Loaded checkpoint './logs\32k\G_0.pth' (iteration 1)
2023-02-08 12:32:08,759	32k	INFO	Loaded checkpoint './logs\32k\D_0.pth' (iteration 1)
2023-02-08 12:32:18,079	32k	INFO	Train Epoch: 1 [0%]
2023-02-08 12:32:18,080	32k	INFO	[9.476292610168457, 2.708005905151367, 9.023947715759277, 40.322837829589844, 17.418556213378906, 0, 0.0001]
2023-02-08 12:32:24,686	32k	INFO	Saving model and optimizer state at iteration 1 to ./logs\32k\G_0.pth
2023-02-08 12:32:40,073	32k	INFO	Saving model and optimizer state at iteration 1 to ./logs\32k\D_0.pth
2023-02-08 12:32:51,687	32k	INFO	====> Epoch: 1
2023-02-08 12:33:01,955	32k	INFO	====> Epoch: 2
2023-02-08 12:33:12,073	32k	INFO	====> Epoch: 3
2023-02-08 12:33:22,236	32k	INFO	====> Epoch: 4
2023-02-08 12:33:32,426	32k	INFO	====> Epoch: 5
2023-02-08 12:33:42,586	32k	INFO	====> Epoch: 6
2023-02-08 12:33:52,804	32k	INFO	====> Epoch: 7
2023-02-08 12:34:03,033	32k	INFO	====> Epoch: 8
2023-02-08 12:34:13,260	32k	INFO	====> Epoch: 9
2023-02-08 12:34:23,506	32k	INFO	====> Epoch: 10
2023-02-08 12:34:33,724	32k	INFO	====> Epoch: 11
2023-02-08 12:34:43,951	32k	INFO	====> Epoch: 12
2023-02-08 12:34:54,182	32k	INFO	====> Epoch: 13
2023-02-08 12:35:04,342	32k	INFO	====> Epoch: 14
2023-02-08 12:35:14,470	32k	INFO	====> Epoch: 15
2023-02-08 12:35:24,608	32k	INFO	====> Epoch: 16
2023-02-08 12:35:34,778	32k	INFO	====> Epoch: 17
2023-02-08 12:35:44,930	32k	INFO	====> Epoch: 18
2023-02-08 12:35:55,023	32k	INFO	====> Epoch: 19
2023-02-08 12:36:05,227	32k	INFO	====> Epoch: 20
2023-02-08 12:36:15,385	32k	INFO	====> Epoch: 21
2023-02-08 12:36:25,515	32k	INFO	====> Epoch: 22
2023-02-08 12:36:35,697	32k	INFO	====> Epoch: 23
2023-02-08 12:36:46,000	32k	INFO	====> Epoch: 24
2023-02-08 12:36:56,282	32k	INFO	====> Epoch: 25
2023-02-08 12:37:00,312	32k	INFO	Train Epoch: 26 [0%]
2023-02-08 12:37:00,312	32k	INFO	[2.986630439758301, 2.0437026023864746, 8.505624771118164, 14.409492492675781, 0.6891246438026428, 200, 9.968796830108985e-05]
2023-02-08 12:37:06,784	32k	INFO	====> Epoch: 26
2023-02-08 12:37:17,000	32k	INFO	====> Epoch: 27
2023-02-08 12:37:27,162	32k	INFO	====> Epoch: 28
2023-02-08 12:37:37,341	32k	INFO	====> Epoch: 29
2023-02-08 12:37:47,499	32k	INFO	====> Epoch: 30
2023-02-08 12:37:57,661	32k	INFO	====> Epoch: 31
2023-02-08 12:38:07,834	32k	INFO	====> Epoch: 32
2023-02-08 12:38:18,405	32k	INFO	====> Epoch: 33
2023-02-08 12:38:29,232	32k	INFO	====> Epoch: 34
2023-02-08 12:38:40,035	32k	INFO	====> Epoch: 35
2023-02-08 12:38:50,476	32k	INFO	====> Epoch: 36
2023-02-08 12:39:00,923	32k	INFO	====> Epoch: 37
2023-02-08 12:39:11,348	32k	INFO	====> Epoch: 38
2023-02-08 12:39:21,992	32k	INFO	====> Epoch: 39
2023-02-08 12:39:32,475	32k	INFO	====> Epoch: 40
2023-02-08 12:39:42,984	32k	INFO	====> Epoch: 41
2023-02-08 12:39:53,449	32k	INFO	====> Epoch: 42
2023-02-08 12:40:03,823	32k	INFO	====> Epoch: 43
2023-02-08 12:40:14,265	32k	INFO	====> Epoch: 44
2023-02-08 12:40:24,688	32k	INFO	====> Epoch: 45
2023-02-08 12:40:35,125	32k	INFO	====> Epoch: 46
2023-02-08 12:40:45,638	32k	INFO	====> Epoch: 47
2023-02-08 12:40:56,088	32k	INFO	====> Epoch: 48
2023-02-08 12:41:06,541	32k	INFO	====> Epoch: 49
2023-02-08 12:41:17,000	32k	INFO	====> Epoch: 50
2023-02-08 12:41:21,072	32k	INFO	Train Epoch: 51 [0%]
2023-02-08 12:41:21,073	32k	INFO	[2.748392105102539, 2.2951653003692627, 8.35931396484375, 15.921524047851562, 0.5298939347267151, 400, 9.937691023999092e-05]
2023-02-08 12:41:27,783	32k	INFO	====> Epoch: 51
2023-02-08 12:41:38,263	32k	INFO	====> Epoch: 52
2023-02-08 12:41:48,685	32k	INFO	====> Epoch: 53
2023-02-08 12:41:59,152	32k	INFO	====> Epoch: 54
2023-02-08 12:42:09,592	32k	INFO	====> Epoch: 55
2023-02-08 12:42:20,032	32k	INFO	====> Epoch: 56
2023-02-08 12:42:30,527	32k	INFO	====> Epoch: 57
2023-02-08 12:42:41,034	32k	INFO	====> Epoch: 58
2023-02-08 12:42:51,577	32k	INFO	====> Epoch: 59
2023-02-08 12:43:02,061	32k	INFO	====> Epoch: 60
2023-02-08 12:43:12,499	32k	INFO	====> Epoch: 61
2023-02-08 12:43:22,987	32k	INFO	====> Epoch: 62
2023-02-08 12:43:33,466	32k	INFO	====> Epoch: 63
2023-02-08 12:43:43,887	32k	INFO	====> Epoch: 64
2023-02-08 12:43:54,335	32k	INFO	====> Epoch: 65
2023-02-08 12:44:04,821	32k	INFO	====> Epoch: 66
2023-02-08 12:44:15,229	32k	INFO	====> Epoch: 67
2023-02-08 12:44:25,663	32k	INFO	====> Epoch: 68
2023-02-08 12:44:36,172	32k	INFO	====> Epoch: 69
2023-02-08 12:44:46,614	32k	INFO	====> Epoch: 70
2023-02-08 12:44:57,104	32k	INFO	====> Epoch: 71
2023-02-08 12:45:07,571	32k	INFO	====> Epoch: 72
2023-02-08 12:45:17,999	32k	INFO	====> Epoch: 73
2023-02-08 12:45:28,436	32k	INFO	====> Epoch: 74
2023-02-08 12:45:38,919	32k	INFO	====> Epoch: 75
2023-02-08 12:45:42,919	32k	INFO	Train Epoch: 76 [0%]
2023-02-08 12:45:42,919	32k	INFO	[2.7767136096954346, 3.2160723209381104, 8.827787399291992, 13.67638111114502, 0.6836925148963928, 600, 9.906682277864462e-05]
2023-02-08 12:45:49,648	32k	INFO	====> Epoch: 76
2023-02-08 12:46:00,115	32k	INFO	====> Epoch: 77
2023-02-08 12:46:10,554	32k	INFO	====> Epoch: 78
2023-02-08 12:46:21,026	32k	INFO	====> Epoch: 79
2023-02-08 12:46:31,490	32k	INFO	====> Epoch: 80
2023-02-08 12:46:41,969	32k	INFO	====> Epoch: 81
2023-02-08 12:46:52,342	32k	INFO	====> Epoch: 82
2023-02-08 12:47:02,854	32k	INFO	====> Epoch: 83
2023-02-08 12:47:13,263	32k	INFO	====> Epoch: 84
2023-02-08 12:47:23,711	32k	INFO	====> Epoch: 85
2023-02-08 12:47:34,169	32k	INFO	====> Epoch: 86
2023-02-08 12:47:44,635	32k	INFO	====> Epoch: 87
2023-02-08 12:47:55,119	32k	INFO	====> Epoch: 88
2023-02-08 12:48:05,571	32k	INFO	====> Epoch: 89
2023-02-08 12:48:16,001	32k	INFO	====> Epoch: 90
2023-02-08 12:48:26,483	32k	INFO	====> Epoch: 91
2023-02-08 12:48:36,955	32k	INFO	====> Epoch: 92
2023-02-08 12:48:47,368	32k	INFO	====> Epoch: 93
2023-02-08 12:48:57,800	32k	INFO	====> Epoch: 94
2023-02-08 12:49:08,184	32k	INFO	====> Epoch: 95
2023-02-08 12:49:18,655	32k	INFO	====> Epoch: 96
2023-02-08 12:49:29,068	32k	INFO	====> Epoch: 97
2023-02-08 12:49:39,573	32k	INFO	====> Epoch: 98
2023-02-08 12:49:50,019	32k	INFO	====> Epoch: 99
2023-02-08 12:50:00,489	32k	INFO	====> Epoch: 100
2023-02-08 12:50:04,527	32k	INFO	Train Epoch: 101 [0%]
2023-02-08 12:50:04,527	32k	INFO	[2.696807622909546, 2.099271535873413, 6.083187580108643, 13.372709274291992, 0.838851273059845, 800, 9.875770288847208e-05]
2023-02-08 12:50:11,250	32k	INFO	====> Epoch: 101
2023-02-08 12:50:21,685	32k	INFO	====> Epoch: 102
2023-02-08 12:50:32,138	32k	INFO	====> Epoch: 103
2023-02-08 12:50:42,569	32k	INFO	====> Epoch: 104
2023-02-08 12:50:53,064	32k	INFO	====> Epoch: 105
2023-02-08 12:51:03,509	32k	INFO	====> Epoch: 106
2023-02-08 12:51:14,004	32k	INFO	====> Epoch: 107
2023-02-08 12:51:24,467	32k	INFO	====> Epoch: 108
2023-02-08 12:51:34,969	32k	INFO	====> Epoch: 109
2023-02-08 12:51:45,366	32k	INFO	====> Epoch: 110
2023-02-08 12:51:55,800	32k	INFO	====> Epoch: 111
2023-02-08 12:52:06,323	32k	INFO	====> Epoch: 112
2023-02-08 12:52:16,782	32k	INFO	====> Epoch: 113
2023-02-08 12:52:27,229	32k	INFO	====> Epoch: 114
2023-02-08 12:52:37,648	32k	INFO	====> Epoch: 115
2023-02-08 12:52:48,087	32k	INFO	====> Epoch: 116
2023-02-08 12:52:58,519	32k	INFO	====> Epoch: 117
2023-02-08 12:53:08,982	32k	INFO	====> Epoch: 118
2023-02-08 12:53:19,434	32k	INFO	====> Epoch: 119
2023-02-08 12:53:29,922	32k	INFO	====> Epoch: 120
2023-02-08 12:53:40,308	32k	INFO	====> Epoch: 121
2023-02-08 12:53:50,874	32k	INFO	====> Epoch: 122
2023-02-08 12:54:01,325	32k	INFO	====> Epoch: 123
2023-02-08 12:54:11,782	32k	INFO	====> Epoch: 124
2023-02-08 12:54:22,259	32k	INFO	====> Epoch: 125
2023-02-08 12:54:26,318	32k	INFO	Train Epoch: 126 [0%]
2023-02-08 12:54:26,319	32k	INFO	[2.49062442779541, 2.300139904022217, 13.083455085754395, 21.769067764282227, 0.7166493535041809, 1000, 9.84495475503445e-05]
2023-02-08 12:54:30,826	32k	INFO	Saving model and optimizer state at iteration 126 to ./logs\32k\G_1000.pth
2023-02-08 12:54:49,369	32k	INFO	Saving model and optimizer state at iteration 126 to ./logs\32k\D_1000.pth
2023-02-08 12:54:59,525	32k	INFO	====> Epoch: 126
2023-02-08 12:55:09,992	32k	INFO	====> Epoch: 127
2023-02-08 12:55:20,473	32k	INFO	====> Epoch: 128
2023-02-08 12:55:30,910	32k	INFO	====> Epoch: 129
2023-02-08 12:55:41,295	32k	INFO	====> Epoch: 130
2023-02-08 12:55:51,708	32k	INFO	====> Epoch: 131
2023-02-08 12:56:02,124	32k	INFO	====> Epoch: 132
2023-02-08 12:56:12,638	32k	INFO	====> Epoch: 133
2023-02-08 12:56:23,107	32k	INFO	====> Epoch: 134
2023-02-08 12:56:33,577	32k	INFO	====> Epoch: 135
2023-02-08 12:56:44,007	32k	INFO	====> Epoch: 136
2023-02-08 12:56:54,776	32k	INFO	====> Epoch: 137
2023-02-08 12:57:05,203	32k	INFO	====> Epoch: 138
2023-02-08 12:57:15,685	32k	INFO	====> Epoch: 139
2023-02-08 12:57:26,087	32k	INFO	====> Epoch: 140
2023-02-08 12:57:36,580	32k	INFO	====> Epoch: 141
2023-02-08 12:57:47,065	32k	INFO	====> Epoch: 142
2023-02-08 12:57:57,551	32k	INFO	====> Epoch: 143
2023-02-08 12:58:08,027	32k	INFO	====> Epoch: 144
2023-02-08 12:58:18,497	32k	INFO	====> Epoch: 145
2023-02-08 12:58:28,946	32k	INFO	====> Epoch: 146
2023-02-08 12:58:39,354	32k	INFO	====> Epoch: 147
2023-02-08 12:58:49,759	32k	INFO	====> Epoch: 148
2023-02-08 12:59:00,229	32k	INFO	====> Epoch: 149
2023-02-08 12:59:10,709	32k	INFO	====> Epoch: 150
2023-02-08 12:59:14,752	32k	INFO	Train Epoch: 151 [0%]
2023-02-08 12:59:14,753	32k	INFO	[2.3735949993133545, 2.4824283123016357, 10.79504680633545, 17.402334213256836, 0.4984617233276367, 1200, 9.814235375455375e-05]
2023-02-08 12:59:21,477	32k	INFO	====> Epoch: 151
2023-02-08 12:59:31,948	32k	INFO	====> Epoch: 152
2023-02-08 12:59:42,402	32k	INFO	====> Epoch: 153
2023-02-08 12:59:52,883	32k	INFO	====> Epoch: 154
2023-02-08 13:00:03,355	32k	INFO	====> Epoch: 155
2023-02-08 13:00:13,875	32k	INFO	====> Epoch: 156
2023-02-08 13:00:24,326	32k	INFO	====> Epoch: 157
2023-02-08 13:00:34,745	32k	INFO	====> Epoch: 158
2023-02-08 13:00:45,229	32k	INFO	====> Epoch: 159
2023-02-08 13:00:55,660	32k	INFO	====> Epoch: 160
2023-02-08 13:01:06,126	32k	INFO	====> Epoch: 161
2023-02-08 13:01:16,560	32k	INFO	====> Epoch: 162
2023-02-08 13:01:27,039	32k	INFO	====> Epoch: 163
2023-02-08 13:01:37,474	32k	INFO	====> Epoch: 164
2023-02-08 13:01:47,948	32k	INFO	====> Epoch: 165
2023-02-08 13:01:58,360	32k	INFO	====> Epoch: 166
2023-02-08 13:02:08,910	32k	INFO	====> Epoch: 167
2023-02-08 13:02:19,292	32k	INFO	====> Epoch: 168
2023-02-08 13:02:29,786	32k	INFO	====> Epoch: 169
2023-02-08 13:02:40,200	32k	INFO	====> Epoch: 170
2023-02-08 13:02:50,686	32k	INFO	====> Epoch: 171
2023-02-08 13:03:01,163	32k	INFO	====> Epoch: 172
2023-02-08 13:03:11,677	32k	INFO	====> Epoch: 173
2023-02-08 13:03:22,135	32k	INFO	====> Epoch: 174
2023-02-08 13:03:32,612	32k	INFO	====> Epoch: 175
2023-02-08 13:03:36,623	32k	INFO	Train Epoch: 176 [0%]
2023-02-08 13:03:36,623	32k	INFO	[2.593862771987915, 2.2875723838806152, 10.382542610168457, 15.897726058959961, 0.716134250164032, 1400, 9.783611850078301e-05]
2023-02-08 13:03:43,327	32k	INFO	====> Epoch: 176
2023-02-08 13:03:53,811	32k	INFO	====> Epoch: 177
2023-02-08 13:04:04,265	32k	INFO	====> Epoch: 178
2023-02-08 13:04:14,731	32k	INFO	====> Epoch: 179
2023-02-08 13:04:25,181	32k	INFO	====> Epoch: 180
2023-02-08 13:04:35,714	32k	INFO	====> Epoch: 181
2023-02-08 13:04:46,181	32k	INFO	====> Epoch: 182
2023-02-08 13:04:56,687	32k	INFO	====> Epoch: 183
2023-02-08 13:05:07,091	32k	INFO	====> Epoch: 184
2023-02-08 13:05:17,581	32k	INFO	====> Epoch: 185
2023-02-08 13:05:28,053	32k	INFO	====> Epoch: 186
2023-02-08 13:05:38,561	32k	INFO	====> Epoch: 187
2023-02-08 13:05:49,023	32k	INFO	====> Epoch: 188
2023-02-08 13:05:59,516	32k	INFO	====> Epoch: 189
2023-02-08 13:06:09,975	32k	INFO	====> Epoch: 190
2023-02-08 13:06:20,418	32k	INFO	====> Epoch: 191
2023-02-08 13:06:30,928	32k	INFO	====> Epoch: 192
2023-02-08 13:06:41,403	32k	INFO	====> Epoch: 193
2023-02-08 13:06:51,831	32k	INFO	====> Epoch: 194
2023-02-08 13:07:02,264	32k	INFO	====> Epoch: 195
2023-02-08 13:07:12,690	32k	INFO	====> Epoch: 196
2023-02-08 13:07:23,128	32k	INFO	====> Epoch: 197
2023-02-08 13:07:33,563	32k	INFO	====> Epoch: 198
2023-02-08 13:07:44,042	32k	INFO	====> Epoch: 199
2023-02-08 13:07:54,501	32k	INFO	====> Epoch: 200
2023-02-08 13:07:58,583	32k	INFO	Train Epoch: 201 [0%]
2023-02-08 13:07:58,583	32k	INFO	[2.3676788806915283, 2.679713010787964, 4.421483993530273, 9.670904159545898, 0.5415794849395752, 1600, 9.753083879807726e-05]
2023-02-08 13:08:05,332	32k	INFO	====> Epoch: 201
2023-02-08 13:08:15,792	32k	INFO	====> Epoch: 202
2023-02-08 13:08:26,262	32k	INFO	====> Epoch: 203
2023-02-08 13:08:36,662	32k	INFO	====> Epoch: 204
2023-02-08 13:08:47,102	32k	INFO	====> Epoch: 205
2023-02-08 13:08:57,575	32k	INFO	====> Epoch: 206
2023-02-08 13:09:08,058	32k	INFO	====> Epoch: 207
2023-02-08 13:09:18,537	32k	INFO	====> Epoch: 208
2023-02-08 13:09:29,006	32k	INFO	====> Epoch: 209
2023-02-08 13:09:39,444	32k	INFO	====> Epoch: 210
2023-02-08 13:09:49,959	32k	INFO	====> Epoch: 211
2023-02-08 13:10:00,472	32k	INFO	====> Epoch: 212
2023-02-08 13:10:10,899	32k	INFO	====> Epoch: 213
2023-02-08 13:10:21,325	32k	INFO	====> Epoch: 214
2023-02-08 13:10:31,783	32k	INFO	====> Epoch: 215
2023-02-08 13:10:42,245	32k	INFO	====> Epoch: 216
2023-02-08 13:10:52,693	32k	INFO	====> Epoch: 217
2023-02-08 13:11:03,145	32k	INFO	====> Epoch: 218
2023-02-08 13:11:13,624	32k	INFO	====> Epoch: 219
2023-02-08 13:11:24,061	32k	INFO	====> Epoch: 220
2023-02-08 13:11:34,522	32k	INFO	====> Epoch: 221
2023-02-08 13:11:44,986	32k	INFO	====> Epoch: 222
2023-02-08 13:11:55,505	32k	INFO	====> Epoch: 223
2023-02-08 13:12:06,050	32k	INFO	====> Epoch: 224
2023-02-08 13:12:16,548	32k	INFO	====> Epoch: 225
2023-02-08 13:12:20,603	32k	INFO	Train Epoch: 226 [0%]
2023-02-08 13:12:20,604	32k	INFO	[2.4298794269561768, 2.5788865089416504, 7.818179130554199, 14.410863876342773, 0.7462130784988403, 1800, 9.722651166481428e-05]
2023-02-08 13:12:27,347	32k	INFO	====> Epoch: 226
2023-02-08 13:12:37,805	32k	INFO	====> Epoch: 227
2023-02-08 13:12:48,261	32k	INFO	====> Epoch: 228
2023-02-08 13:12:58,786	32k	INFO	====> Epoch: 229
2023-02-08 13:13:09,255	32k	INFO	====> Epoch: 230
2023-02-08 13:13:19,687	32k	INFO	====> Epoch: 231
2023-02-08 13:13:30,140	32k	INFO	====> Epoch: 232
2023-02-08 13:13:40,595	32k	INFO	====> Epoch: 233
2023-02-08 13:13:51,046	32k	INFO	====> Epoch: 234
2023-02-08 13:14:01,556	32k	INFO	====> Epoch: 235
2023-02-08 13:14:12,076	32k	INFO	====> Epoch: 236
2023-02-08 13:14:22,551	32k	INFO	====> Epoch: 237
2023-02-08 13:14:33,014	32k	INFO	====> Epoch: 238
2023-02-08 13:14:43,450	32k	INFO	====> Epoch: 239
2023-02-08 13:14:53,875	32k	INFO	====> Epoch: 240
2023-02-08 13:15:04,312	32k	INFO	====> Epoch: 241
2023-02-08 13:15:14,830	32k	INFO	====> Epoch: 242
2023-02-08 13:15:25,300	32k	INFO	====> Epoch: 243
2023-02-08 13:15:35,788	32k	INFO	====> Epoch: 244
2023-02-08 13:15:46,199	32k	INFO	====> Epoch: 245
2023-02-08 13:15:56,691	32k	INFO	====> Epoch: 246
2023-02-08 13:16:07,173	32k	INFO	====> Epoch: 247
2023-02-08 13:16:17,655	32k	INFO	====> Epoch: 248
2023-02-08 13:16:28,182	32k	INFO	====> Epoch: 249
2023-02-08 13:16:38,799	32k	INFO	====> Epoch: 250
2023-02-08 13:16:42,884	32k	INFO	Train Epoch: 251 [0%]
2023-02-08 13:16:42,884	32k	INFO	[2.511965751647949, 2.420247793197632, 8.503908157348633, 16.57765769958496, 0.2514166235923767, 2000, 9.692313412867544e-05]
2023-02-08 13:16:47,443	32k	INFO	Saving model and optimizer state at iteration 251 to ./logs\32k\G_2000.pth
2023-02-08 13:17:06,687	32k	INFO	Saving model and optimizer state at iteration 251 to ./logs\32k\D_2000.pth
2023-02-08 13:17:16,935	32k	INFO	====> Epoch: 251
2023-02-08 13:17:27,345	32k	INFO	====> Epoch: 252
2023-02-08 13:17:37,760	32k	INFO	====> Epoch: 253
2023-02-08 13:17:48,183	32k	INFO	====> Epoch: 254
2023-02-08 13:17:58,637	32k	INFO	====> Epoch: 255
2023-02-08 13:18:09,111	32k	INFO	====> Epoch: 256
2023-02-08 13:18:19,533	32k	INFO	====> Epoch: 257
2023-02-08 13:18:30,036	32k	INFO	====> Epoch: 258
2023-02-08 13:18:46,051	32k	INFO	====> Epoch: 259
2023-02-08 13:19:06,012	32k	INFO	====> Epoch: 260
2023-02-08 13:19:16,481	32k	INFO	====> Epoch: 261
2023-02-08 13:19:26,926	32k	INFO	====> Epoch: 262
2023-02-08 13:19:37,355	32k	INFO	====> Epoch: 263
2023-02-08 13:19:47,906	32k	INFO	====> Epoch: 264
2023-02-08 13:19:58,361	32k	INFO	====> Epoch: 265
2023-02-08 13:20:08,784	32k	INFO	====> Epoch: 266
2023-02-08 13:20:19,228	32k	INFO	====> Epoch: 267
2023-02-08 13:20:29,664	32k	INFO	====> Epoch: 268
2023-02-08 13:20:40,082	32k	INFO	====> Epoch: 269
2023-02-08 13:20:50,565	32k	INFO	====> Epoch: 270
2023-02-08 13:21:01,005	32k	INFO	====> Epoch: 271
2023-02-08 13:21:11,492	32k	INFO	====> Epoch: 272
2023-02-08 13:21:21,972	32k	INFO	====> Epoch: 273
2023-02-08 13:21:32,398	32k	INFO	====> Epoch: 274
2023-02-08 13:21:42,878	32k	INFO	====> Epoch: 275
2023-02-08 13:21:46,952	32k	INFO	Train Epoch: 276 [0%]
2023-02-08 13:21:46,952	32k	INFO	[2.572131633758545, 2.400096893310547, 6.799998760223389, 15.288640022277832, 0.7345106601715088, 2200, 9.662070322661676e-05]
2023-02-08 13:21:53,688	32k	INFO	====> Epoch: 276
2023-02-08 13:22:04,115	32k	INFO	====> Epoch: 277
2023-02-08 13:22:14,589	32k	INFO	====> Epoch: 278
2023-02-08 13:22:24,999	32k	INFO	====> Epoch: 279
2023-02-08 13:22:35,496	32k	INFO	====> Epoch: 280
2023-02-08 13:22:45,951	32k	INFO	====> Epoch: 281
2023-02-08 13:22:56,450	32k	INFO	====> Epoch: 282
2023-02-08 13:23:06,922	32k	INFO	====> Epoch: 283
2023-02-08 13:23:17,355	32k	INFO	====> Epoch: 284
2023-02-08 13:23:27,804	32k	INFO	====> Epoch: 285
2023-02-08 13:23:38,282	32k	INFO	====> Epoch: 286
2023-02-08 13:23:48,717	32k	INFO	====> Epoch: 287
2023-02-08 13:23:59,251	32k	INFO	====> Epoch: 288
2023-02-08 13:24:09,710	32k	INFO	====> Epoch: 289
2023-02-08 13:24:20,174	32k	INFO	====> Epoch: 290
2023-02-08 13:24:30,619	32k	INFO	====> Epoch: 291
2023-02-08 13:24:41,079	32k	INFO	====> Epoch: 292
2023-02-08 13:24:51,843	32k	INFO	====> Epoch: 293
2023-02-08 13:25:02,324	32k	INFO	====> Epoch: 294
2023-02-08 13:25:12,830	32k	INFO	====> Epoch: 295
2023-02-08 13:25:23,289	32k	INFO	====> Epoch: 296
2023-02-08 13:25:33,678	32k	INFO	====> Epoch: 297
2023-02-08 13:25:44,128	32k	INFO	====> Epoch: 298
2023-02-08 13:25:54,617	32k	INFO	====> Epoch: 299
2023-02-08 13:26:05,036	32k	INFO	====> Epoch: 300
2023-02-08 13:26:09,087	32k	INFO	Train Epoch: 301 [0%]
2023-02-08 13:26:09,088	32k	INFO	[2.125504493713379, 3.211182117462158, 8.21407413482666, 13.87775993347168, 0.7159914374351501, 2400, 9.631921600483981e-05]
2023-02-08 13:26:15,801	32k	INFO	====> Epoch: 301
2023-02-08 13:26:26,248	32k	INFO	====> Epoch: 302
2023-02-08 13:26:36,684	32k	INFO	====> Epoch: 303
2023-02-08 13:26:47,121	32k	INFO	====> Epoch: 304
2023-02-08 13:26:57,599	32k	INFO	====> Epoch: 305
2023-02-08 13:27:08,084	32k	INFO	====> Epoch: 306
2023-02-08 13:27:18,519	32k	INFO	====> Epoch: 307
2023-02-08 13:27:28,980	32k	INFO	====> Epoch: 308
2023-02-08 13:27:39,504	32k	INFO	====> Epoch: 309
2023-02-08 13:27:49,954	32k	INFO	====> Epoch: 310
2023-02-08 13:28:00,446	32k	INFO	====> Epoch: 311
2023-02-08 13:28:10,887	32k	INFO	====> Epoch: 312
2023-02-08 13:28:21,319	32k	INFO	====> Epoch: 313
2023-02-08 13:28:31,801	32k	INFO	====> Epoch: 314
2023-02-08 13:28:42,264	32k	INFO	====> Epoch: 315
2023-02-08 13:28:52,729	32k	INFO	====> Epoch: 316
2023-02-08 13:29:03,164	32k	INFO	====> Epoch: 317
2023-02-08 13:29:13,627	32k	INFO	====> Epoch: 318
2023-02-08 13:29:24,051	32k	INFO	====> Epoch: 319
2023-02-08 13:29:34,465	32k	INFO	====> Epoch: 320
2023-02-08 13:29:44,932	32k	INFO	====> Epoch: 321
2023-02-08 13:29:55,337	32k	INFO	====> Epoch: 322
2023-02-08 13:30:05,799	32k	INFO	====> Epoch: 323
2023-02-08 13:30:16,248	32k	INFO	====> Epoch: 324
2023-02-08 13:30:26,721	32k	INFO	====> Epoch: 325
2023-02-08 13:30:30,783	32k	INFO	Train Epoch: 326 [0%]
2023-02-08 13:30:30,783	32k	INFO	[2.174563407897949, 3.3642725944519043, 7.096668720245361, 11.374608993530273, 0.6039899587631226, 2600, 9.601866951876297e-05]
2023-02-08 13:30:37,540	32k	INFO	====> Epoch: 326
2023-02-08 13:30:47,986	32k	INFO	====> Epoch: 327
2023-02-08 13:30:58,404	32k	INFO	====> Epoch: 328
2023-02-08 13:31:08,872	32k	INFO	====> Epoch: 329
2023-02-08 13:31:19,307	32k	INFO	====> Epoch: 330
2023-02-08 13:31:29,790	32k	INFO	====> Epoch: 331
2023-02-08 13:31:40,235	32k	INFO	====> Epoch: 332
2023-02-08 13:31:50,729	32k	INFO	====> Epoch: 333
2023-02-08 13:32:01,154	32k	INFO	====> Epoch: 334
2023-02-08 13:32:11,608	32k	INFO	====> Epoch: 335
2023-02-08 13:32:22,076	32k	INFO	====> Epoch: 336
2023-02-08 13:32:32,555	32k	INFO	====> Epoch: 337
2023-02-08 13:32:42,999	32k	INFO	====> Epoch: 338
2023-02-08 13:32:53,514	32k	INFO	====> Epoch: 339
2023-02-08 13:33:03,961	32k	INFO	====> Epoch: 340
2023-02-08 13:33:14,393	32k	INFO	====> Epoch: 341
2023-02-08 13:33:24,845	32k	INFO	====> Epoch: 342
2023-02-08 13:33:35,328	32k	INFO	====> Epoch: 343
2023-02-08 13:33:45,788	32k	INFO	====> Epoch: 344
2023-02-08 13:33:56,187	32k	INFO	====> Epoch: 345
2023-02-08 13:34:06,641	32k	INFO	====> Epoch: 346
2023-02-08 13:34:17,041	32k	INFO	====> Epoch: 347
2023-02-08 13:34:27,484	32k	INFO	====> Epoch: 348
2023-02-08 13:34:37,923	32k	INFO	====> Epoch: 349
2023-02-08 13:34:48,391	32k	INFO	====> Epoch: 350
2023-02-08 13:34:52,413	32k	INFO	Train Epoch: 351 [0%]
2023-02-08 13:34:52,414	32k	INFO	[2.4344863891601562, 2.5140528678894043, 12.23401165008545, 18.66307258605957, 0.3047051727771759, 2800, 9.571906083299264e-05]
2023-02-08 13:34:59,153	32k	INFO	====> Epoch: 351
2023-02-08 13:35:09,647	32k	INFO	====> Epoch: 352
2023-02-08 13:35:20,033	32k	INFO	====> Epoch: 353
2023-02-08 13:35:30,485	32k	INFO	====> Epoch: 354
2023-02-08 13:35:40,921	32k	INFO	====> Epoch: 355
2023-02-08 13:35:51,413	32k	INFO	====> Epoch: 356
2023-02-08 13:36:01,872	32k	INFO	====> Epoch: 357
2023-02-08 13:36:12,371	32k	INFO	====> Epoch: 358
2023-02-08 13:36:22,812	32k	INFO	====> Epoch: 359
2023-02-08 13:36:33,277	32k	INFO	====> Epoch: 360
2023-02-08 13:36:43,714	32k	INFO	====> Epoch: 361
2023-02-08 13:36:54,141	32k	INFO	====> Epoch: 362
2023-02-08 13:37:04,582	32k	INFO	====> Epoch: 363
2023-02-08 13:37:15,064	32k	INFO	====> Epoch: 364
2023-02-08 13:37:25,504	32k	INFO	====> Epoch: 365
2023-02-08 13:37:35,985	32k	INFO	====> Epoch: 366
2023-02-08 13:37:46,411	32k	INFO	====> Epoch: 367
2023-02-08 13:37:56,907	32k	INFO	====> Epoch: 368
2023-02-08 13:38:07,353	32k	INFO	====> Epoch: 369
2023-02-08 13:38:17,825	32k	INFO	====> Epoch: 370
2023-02-08 13:38:28,284	32k	INFO	====> Epoch: 371
2023-02-08 13:38:38,763	32k	INFO	====> Epoch: 372
2023-02-08 13:38:49,188	32k	INFO	====> Epoch: 373
2023-02-08 13:38:59,638	32k	INFO	====> Epoch: 374
2023-02-08 13:39:10,068	32k	INFO	====> Epoch: 375
2023-02-08 13:39:14,168	32k	INFO	Train Epoch: 376 [0%]
2023-02-08 13:39:14,169	32k	INFO	[2.3135199546813965, 2.42159366607666, 6.984428405761719, 12.796313285827637, 0.7393651604652405, 3000, 9.542038702129457e-05]
2023-02-08 13:39:18,904	32k	INFO	Saving model and optimizer state at iteration 376 to ./logs\32k\G_3000.pth
2023-02-08 13:39:36,152	32k	INFO	Saving model and optimizer state at iteration 376 to ./logs\32k\D_3000.pth
2023-02-08 13:39:46,586	32k	INFO	====> Epoch: 376
2023-02-08 13:39:57,092	32k	INFO	====> Epoch: 377
2023-02-08 13:40:07,528	32k	INFO	====> Epoch: 378
2023-02-08 13:40:17,999	32k	INFO	====> Epoch: 379
2023-02-08 13:40:28,474	32k	INFO	====> Epoch: 380
2023-02-08 13:40:38,966	32k	INFO	====> Epoch: 381
2023-02-08 13:40:49,326	32k	INFO	====> Epoch: 382
2023-02-08 13:40:59,774	32k	INFO	====> Epoch: 383
2023-02-08 13:41:10,293	32k	INFO	====> Epoch: 384
2023-02-08 13:41:20,771	32k	INFO	====> Epoch: 385
2023-02-08 13:41:31,249	32k	INFO	====> Epoch: 386
2023-02-08 13:41:41,809	32k	INFO	====> Epoch: 387
2023-02-08 13:41:52,233	32k	INFO	====> Epoch: 388
2023-02-08 13:42:02,694	32k	INFO	====> Epoch: 389
2023-02-08 13:42:13,109	32k	INFO	====> Epoch: 390
2023-02-08 13:42:23,593	32k	INFO	====> Epoch: 391
2023-02-08 13:42:34,056	32k	INFO	====> Epoch: 392
2023-02-08 13:42:44,571	32k	INFO	====> Epoch: 393
2023-02-08 13:42:55,041	32k	INFO	====> Epoch: 394
2023-02-08 13:43:05,515	32k	INFO	====> Epoch: 395
2023-02-08 13:43:15,969	32k	INFO	====> Epoch: 396
2023-02-08 13:43:26,453	32k	INFO	====> Epoch: 397
2023-02-08 13:43:36,938	32k	INFO	====> Epoch: 398
2023-02-08 13:43:47,444	32k	INFO	====> Epoch: 399
2023-02-08 13:43:57,923	32k	INFO	====> Epoch: 400
2023-02-08 13:44:01,975	32k	INFO	Train Epoch: 401 [0%]
2023-02-08 13:44:01,975	32k	INFO	[2.5865421295166016, 2.3226499557495117, 4.585860729217529, 11.554468154907227, 0.3644338846206665, 3200, 9.512264516656537e-05]
2023-02-08 13:44:08,689	32k	INFO	====> Epoch: 401
2023-02-08 13:44:19,138	32k	INFO	====> Epoch: 402
2023-02-08 13:44:29,608	32k	INFO	====> Epoch: 403
2023-02-08 13:44:40,362	32k	INFO	====> Epoch: 404
2023-02-08 13:44:51,427	32k	INFO	====> Epoch: 405
2023-02-08 13:45:02,707	32k	INFO	====> Epoch: 406
2023-02-08 13:45:13,739	32k	INFO	====> Epoch: 407
2023-02-08 13:45:26,938	32k	INFO	====> Epoch: 408
2023-02-08 13:45:39,614	32k	INFO	====> Epoch: 409
2023-02-08 13:45:52,633	32k	INFO	====> Epoch: 410
2023-02-08 13:46:05,652	32k	INFO	====> Epoch: 411
2023-02-08 13:46:18,037	32k	INFO	====> Epoch: 412
2023-02-08 13:46:30,470	32k	INFO	====> Epoch: 413
2023-02-08 13:46:42,852	32k	INFO	====> Epoch: 414
2023-02-08 13:46:55,213	32k	INFO	====> Epoch: 415
2023-02-08 13:47:07,906	32k	INFO	====> Epoch: 416
2023-02-08 13:47:20,420	32k	INFO	====> Epoch: 417
2023-02-08 13:47:32,935	32k	INFO	====> Epoch: 418
2023-02-08 13:47:45,362	32k	INFO	====> Epoch: 419
2023-02-08 13:47:57,336	32k	INFO	====> Epoch: 420
2023-02-08 13:48:09,807	32k	INFO	====> Epoch: 421
2023-02-08 13:48:22,439	32k	INFO	====> Epoch: 422
2023-02-08 13:48:34,735	32k	INFO	====> Epoch: 423
2023-02-08 13:48:46,731	32k	INFO	====> Epoch: 424
2023-02-08 13:48:57,267	32k	INFO	====> Epoch: 425
2023-02-08 13:49:01,433	32k	INFO	Train Epoch: 426 [0%]
2023-02-08 13:49:01,433	32k	INFO	[2.2967822551727295, 2.434213399887085, 12.936694145202637, 16.822160720825195, 0.25984838604927063, 3400, 9.482583236080386e-05]
2023-02-08 13:49:08,351	32k	INFO	====> Epoch: 426
2023-02-08 13:49:18,833	32k	INFO	====> Epoch: 427
2023-02-08 13:49:29,347	32k	INFO	====> Epoch: 428
2023-02-08 13:49:39,786	32k	INFO	====> Epoch: 429
2023-02-08 13:49:50,234	32k	INFO	====> Epoch: 430
2023-02-08 13:50:00,666	32k	INFO	====> Epoch: 431
2023-02-08 13:50:11,140	32k	INFO	====> Epoch: 432
2023-02-08 13:50:21,659	32k	INFO	====> Epoch: 433
2023-02-08 13:50:32,095	32k	INFO	====> Epoch: 434
2023-02-08 13:50:42,569	32k	INFO	====> Epoch: 435
2023-02-08 13:50:52,987	32k	INFO	====> Epoch: 436
2023-02-08 13:51:03,477	32k	INFO	====> Epoch: 437
2023-02-08 13:51:13,917	32k	INFO	====> Epoch: 438
2023-02-08 13:51:24,393	32k	INFO	====> Epoch: 439
2023-02-08 13:51:34,859	32k	INFO	====> Epoch: 440
2023-02-08 13:51:45,377	32k	INFO	====> Epoch: 441
2023-02-08 13:51:55,871	32k	INFO	====> Epoch: 442
2023-02-08 13:52:06,350	32k	INFO	====> Epoch: 443
2023-02-08 13:52:16,824	32k	INFO	====> Epoch: 444
2023-02-08 13:52:27,345	32k	INFO	====> Epoch: 445
2023-02-08 13:52:37,855	32k	INFO	====> Epoch: 446
2023-02-08 13:52:48,377	32k	INFO	====> Epoch: 447
2023-02-08 13:52:58,848	32k	INFO	====> Epoch: 448
2023-02-08 13:53:09,330	32k	INFO	====> Epoch: 449
2023-02-08 13:53:20,405	32k	INFO	====> Epoch: 450
2023-02-08 13:53:24,554	32k	INFO	Train Epoch: 451 [0%]
2023-02-08 13:53:24,554	32k	INFO	[2.5057640075683594, 2.4335758686065674, 9.800578117370605, 14.886824607849121, 0.8932643532752991, 3600, 9.452994570508276e-05]
2023-02-08 13:53:31,823	32k	INFO	====> Epoch: 451
2023-02-08 13:53:43,058	32k	INFO	====> Epoch: 452
2023-02-08 13:53:53,853	32k	INFO	====> Epoch: 453
2023-02-08 13:54:04,977	32k	INFO	====> Epoch: 454
2023-02-08 13:54:16,268	32k	INFO	====> Epoch: 455
2023-02-08 13:54:27,362	32k	INFO	====> Epoch: 456
2023-02-08 13:54:38,338	32k	INFO	====> Epoch: 457
2023-02-08 13:54:49,254	32k	INFO	====> Epoch: 458
2023-02-08 13:55:00,339	32k	INFO	====> Epoch: 459
2023-02-08 13:55:11,272	32k	INFO	====> Epoch: 460
2023-02-08 13:55:22,232	32k	INFO	====> Epoch: 461
2023-02-08 13:55:33,191	32k	INFO	====> Epoch: 462
2023-02-08 13:55:44,150	32k	INFO	====> Epoch: 463
2023-02-08 13:55:55,097	32k	INFO	====> Epoch: 464
2023-02-08 13:56:06,113	32k	INFO	====> Epoch: 465
2023-02-08 13:56:17,121	32k	INFO	====> Epoch: 466
2023-02-08 13:56:28,067	32k	INFO	====> Epoch: 467
2023-02-08 13:56:39,062	32k	INFO	====> Epoch: 468
2023-02-08 13:56:50,090	32k	INFO	====> Epoch: 469
2023-02-08 13:57:01,107	32k	INFO	====> Epoch: 470
2023-02-08 13:57:12,107	32k	INFO	====> Epoch: 471
2023-02-08 13:57:23,069	32k	INFO	====> Epoch: 472
2023-02-08 13:57:34,035	32k	INFO	====> Epoch: 473
2023-02-08 13:57:45,019	32k	INFO	====> Epoch: 474
2023-02-08 13:57:55,977	32k	INFO	====> Epoch: 475
2023-02-08 13:58:00,088	32k	INFO	Train Epoch: 476 [0%]
2023-02-08 13:58:00,088	32k	INFO	[2.5141046047210693, 2.5905261039733887, 9.276155471801758, 18.503921508789062, 0.6192313432693481, 3800, 9.423498230952031e-05]
2023-02-08 13:58:07,352	32k	INFO	====> Epoch: 476
2023-02-08 13:58:18,289	32k	INFO	====> Epoch: 477
2023-02-08 13:58:29,277	32k	INFO	====> Epoch: 478
2023-02-08 13:58:39,934	32k	INFO	====> Epoch: 479
2023-02-08 13:58:50,366	32k	INFO	====> Epoch: 480
2023-02-08 13:59:00,797	32k	INFO	====> Epoch: 481
2023-02-08 13:59:11,281	32k	INFO	====> Epoch: 482
2023-02-08 13:59:21,711	32k	INFO	====> Epoch: 483
2023-02-08 13:59:32,143	32k	INFO	====> Epoch: 484
2023-02-08 13:59:42,533	32k	INFO	====> Epoch: 485
2023-02-08 13:59:52,981	32k	INFO	====> Epoch: 486
2023-02-08 14:00:03,413	32k	INFO	====> Epoch: 487
2023-02-08 14:00:13,942	32k	INFO	====> Epoch: 488
2023-02-08 14:00:24,378	32k	INFO	====> Epoch: 489
2023-02-08 14:00:34,814	32k	INFO	====> Epoch: 490
2023-02-08 14:00:45,239	32k	INFO	====> Epoch: 491
2023-02-08 14:00:55,651	32k	INFO	====> Epoch: 492
2023-02-08 14:01:06,065	32k	INFO	====> Epoch: 493
2023-02-08 14:01:16,508	32k	INFO	====> Epoch: 494
2023-02-08 14:01:26,985	32k	INFO	====> Epoch: 495
2023-02-08 14:01:37,436	32k	INFO	====> Epoch: 496
2023-02-08 14:01:47,872	32k	INFO	====> Epoch: 497
2023-02-08 14:01:58,342	32k	INFO	====> Epoch: 498
2023-02-08 14:02:08,792	32k	INFO	====> Epoch: 499
2023-02-08 14:02:19,186	32k	INFO	====> Epoch: 500
2023-02-08 14:02:23,203	32k	INFO	Train Epoch: 501 [0%]
2023-02-08 14:02:23,204	32k	INFO	[2.1498098373413086, 2.788088321685791, 10.145051956176758, 14.17063045501709, 0.35876619815826416, 4000, 9.394093929325224e-05]
2023-02-08 14:02:27,819	32k	INFO	Saving model and optimizer state at iteration 501 to ./logs\32k\G_4000.pth
2023-02-08 14:02:45,466	32k	INFO	Saving model and optimizer state at iteration 501 to ./logs\32k\D_4000.pth
2023-02-08 14:02:55,451	32k	INFO	====> Epoch: 501
2023-02-08 14:03:05,893	32k	INFO	====> Epoch: 502
2023-02-08 14:03:16,364	32k	INFO	====> Epoch: 503
2023-02-08 14:03:26,825	32k	INFO	====> Epoch: 504
2023-02-08 14:03:37,238	32k	INFO	====> Epoch: 505
2023-02-08 14:03:47,647	32k	INFO	====> Epoch: 506
2023-02-08 14:03:58,051	32k	INFO	====> Epoch: 507
2023-02-08 14:04:08,499	32k	INFO	====> Epoch: 508
2023-02-08 14:04:18,893	32k	INFO	====> Epoch: 509
2023-02-08 14:04:29,326	32k	INFO	====> Epoch: 510
2023-02-08 14:04:39,724	32k	INFO	====> Epoch: 511
2023-02-08 14:04:50,161	32k	INFO	====> Epoch: 512
2023-02-08 14:05:00,587	32k	INFO	====> Epoch: 513
2023-02-08 14:05:10,999	32k	INFO	====> Epoch: 514
2023-02-08 14:05:21,424	32k	INFO	====> Epoch: 515
2023-02-08 14:05:31,809	32k	INFO	====> Epoch: 516
2023-02-08 14:05:42,311	32k	INFO	====> Epoch: 517
2023-02-08 14:05:52,739	32k	INFO	====> Epoch: 518
2023-02-08 14:06:03,155	32k	INFO	====> Epoch: 519
2023-02-08 14:06:13,623	32k	INFO	====> Epoch: 520
2023-02-08 14:06:24,032	32k	INFO	====> Epoch: 521
2023-02-08 14:06:34,466	32k	INFO	====> Epoch: 522
2023-02-08 14:06:44,884	32k	INFO	====> Epoch: 523
2023-02-08 14:06:55,354	32k	INFO	====> Epoch: 524
2023-02-08 14:07:05,741	32k	INFO	====> Epoch: 525
2023-02-08 14:07:09,746	32k	INFO	Train Epoch: 526 [0%]
2023-02-08 14:07:09,746	32k	INFO	[2.711740016937256, 2.142303228378296, 8.624710083007812, 16.380664825439453, 0.6062797904014587, 4200, 9.364781378440336e-05]
2023-02-08 14:07:16,496	32k	INFO	====> Epoch: 526
2023-02-08 14:07:26,916	32k	INFO	====> Epoch: 527
2023-02-08 14:07:37,312	32k	INFO	====> Epoch: 528
2023-02-08 14:07:47,714	32k	INFO	====> Epoch: 529
2023-02-08 14:07:58,135	32k	INFO	====> Epoch: 530
2023-02-08 14:08:08,542	32k	INFO	====> Epoch: 531
2023-02-08 14:08:18,993	32k	INFO	====> Epoch: 532
2023-02-08 14:08:29,440	32k	INFO	====> Epoch: 533
2023-02-08 14:08:39,871	32k	INFO	====> Epoch: 534
2023-02-08 14:08:50,298	32k	INFO	====> Epoch: 535
2023-02-08 14:09:00,730	32k	INFO	====> Epoch: 536
2023-02-08 14:09:11,132	32k	INFO	====> Epoch: 537
2023-02-08 14:09:21,573	32k	INFO	====> Epoch: 538
2023-02-08 14:09:31,991	32k	INFO	====> Epoch: 539
2023-02-08 14:09:42,455	32k	INFO	====> Epoch: 540
2023-02-08 14:09:52,852	32k	INFO	====> Epoch: 541
2023-02-08 14:10:03,284	32k	INFO	====> Epoch: 542
2023-02-08 14:10:13,692	32k	INFO	====> Epoch: 543
2023-02-08 14:10:24,142	32k	INFO	====> Epoch: 544
2023-02-08 14:10:34,537	32k	INFO	====> Epoch: 545
2023-02-08 14:10:44,958	32k	INFO	====> Epoch: 546
2023-02-08 14:10:55,352	32k	INFO	====> Epoch: 547
2023-02-08 14:11:05,809	32k	INFO	====> Epoch: 548
2023-02-08 14:11:16,253	32k	INFO	====> Epoch: 549
2023-02-08 14:11:26,665	32k	INFO	====> Epoch: 550
2023-02-08 14:11:30,662	32k	INFO	Train Epoch: 551 [0%]
2023-02-08 14:11:30,663	32k	INFO	[2.3026986122131348, 2.6114468574523926, 7.8395676612854, 13.542837142944336, 0.5533045530319214, 4400, 9.335560292005964e-05]
2023-02-08 14:11:37,378	32k	INFO	====> Epoch: 551
2023-02-08 14:11:47,790	32k	INFO	====> Epoch: 552
2023-02-08 14:11:58,222	32k	INFO	====> Epoch: 553
2023-02-08 14:12:08,687	32k	INFO	====> Epoch: 554
2023-02-08 14:12:19,142	32k	INFO	====> Epoch: 555
2023-02-08 14:12:29,608	32k	INFO	====> Epoch: 556
2023-02-08 14:12:40,074	32k	INFO	====> Epoch: 557
2023-02-08 14:12:50,532	32k	INFO	====> Epoch: 558
2023-02-08 14:13:00,956	32k	INFO	====> Epoch: 559
2023-02-08 14:13:11,425	32k	INFO	====> Epoch: 560
2023-02-08 14:13:21,868	32k	INFO	====> Epoch: 561
2023-02-08 14:13:32,349	32k	INFO	====> Epoch: 562
2023-02-08 14:13:42,774	32k	INFO	====> Epoch: 563
2023-02-08 14:13:53,173	32k	INFO	====> Epoch: 564
2023-02-08 14:14:03,619	32k	INFO	====> Epoch: 565
2023-02-08 14:14:14,034	32k	INFO	====> Epoch: 566
2023-02-08 14:14:24,469	32k	INFO	====> Epoch: 567
2023-02-08 14:14:34,930	32k	INFO	====> Epoch: 568
2023-02-08 14:14:45,344	32k	INFO	====> Epoch: 569
2023-02-08 14:14:56,029	32k	INFO	====> Epoch: 570
2023-02-08 14:15:06,462	32k	INFO	====> Epoch: 571
2023-02-08 14:15:16,955	32k	INFO	====> Epoch: 572
2023-02-08 14:15:27,406	32k	INFO	====> Epoch: 573
2023-02-08 14:15:37,881	32k	INFO	====> Epoch: 574
2023-02-08 14:15:48,363	32k	INFO	====> Epoch: 575
2023-02-08 14:15:52,371	32k	INFO	Train Epoch: 576 [0%]
2023-02-08 14:15:52,371	32k	INFO	[2.6307554244995117, 2.2567241191864014, 10.453770637512207, 16.441741943359375, 0.07351760566234589, 4600, 9.306430384624031e-05]
2023-02-08 14:15:59,114	32k	INFO	====> Epoch: 576
2023-02-08 14:16:09,715	32k	INFO	====> Epoch: 577
2023-02-08 14:16:20,209	32k	INFO	====> Epoch: 578
2023-02-08 14:16:30,653	32k	INFO	====> Epoch: 579
2023-02-08 14:16:41,075	32k	INFO	====> Epoch: 580
2023-02-08 14:16:51,551	32k	INFO	====> Epoch: 581
2023-02-08 14:17:02,027	32k	INFO	====> Epoch: 582
2023-02-08 14:17:12,555	32k	INFO	====> Epoch: 583
2023-02-08 14:17:22,985	32k	INFO	====> Epoch: 584
2023-02-08 14:17:33,423	32k	INFO	====> Epoch: 585
2023-02-08 14:17:43,922	32k	INFO	====> Epoch: 586
2023-02-08 14:17:54,368	32k	INFO	====> Epoch: 587
2023-02-08 14:18:04,862	32k	INFO	====> Epoch: 588
2023-02-08 14:18:15,324	32k	INFO	====> Epoch: 589
2023-02-08 14:18:25,789	32k	INFO	====> Epoch: 590
2023-02-08 14:18:36,284	32k	INFO	====> Epoch: 591
2023-02-08 14:18:46,720	32k	INFO	====> Epoch: 592
2023-02-08 14:18:57,169	32k	INFO	====> Epoch: 593
2023-02-08 14:19:07,674	32k	INFO	====> Epoch: 594
2023-02-08 14:19:18,128	32k	INFO	====> Epoch: 595
2023-02-08 14:19:28,594	32k	INFO	====> Epoch: 596
2023-02-08 14:19:39,046	32k	INFO	====> Epoch: 597
2023-02-08 14:19:49,539	32k	INFO	====> Epoch: 598
2023-02-08 14:20:00,010	32k	INFO	====> Epoch: 599
2023-02-08 14:20:10,505	32k	INFO	====> Epoch: 600
2023-02-08 14:20:14,514	32k	INFO	Train Epoch: 601 [0%]
2023-02-08 14:20:14,515	32k	INFO	[2.558211326599121, 2.2489430904388428, 6.206439971923828, 13.649942398071289, 0.7388851642608643, 4800, 9.277391371786995e-05]
2023-02-08 14:20:21,269	32k	INFO	====> Epoch: 601
2023-02-08 14:20:31,687	32k	INFO	====> Epoch: 602
2023-02-08 14:20:42,112	32k	INFO	====> Epoch: 603
2023-02-08 14:20:53,050	32k	INFO	====> Epoch: 604
2023-02-08 14:21:03,465	32k	INFO	====> Epoch: 605
2023-02-08 14:21:13,939	32k	INFO	====> Epoch: 606
2023-02-08 14:21:24,392	32k	INFO	====> Epoch: 607
2023-02-08 14:21:34,829	32k	INFO	====> Epoch: 608
2023-02-08 14:21:45,259	32k	INFO	====> Epoch: 609
2023-02-08 14:21:55,713	32k	INFO	====> Epoch: 610
2023-02-08 14:22:06,201	32k	INFO	====> Epoch: 611
2023-02-08 14:22:16,652	32k	INFO	====> Epoch: 612
2023-02-08 14:22:27,123	32k	INFO	====> Epoch: 613
2023-02-08 14:22:37,575	32k	INFO	====> Epoch: 614
2023-02-08 14:22:48,054	32k	INFO	====> Epoch: 615
2023-02-08 14:22:58,494	32k	INFO	====> Epoch: 616
2023-02-08 14:23:09,002	32k	INFO	====> Epoch: 617
2023-02-08 14:23:19,440	32k	INFO	====> Epoch: 618
2023-02-08 14:23:29,914	32k	INFO	====> Epoch: 619
2023-02-08 14:23:40,362	32k	INFO	====> Epoch: 620
2023-02-08 14:23:50,828	32k	INFO	====> Epoch: 621
2023-02-08 14:24:01,266	32k	INFO	====> Epoch: 622
2023-02-08 14:24:11,711	32k	INFO	====> Epoch: 623
2023-02-08 14:24:22,134	32k	INFO	====> Epoch: 624
2023-02-08 14:24:32,624	32k	INFO	====> Epoch: 625
2023-02-08 14:24:36,633	32k	INFO	Train Epoch: 626 [0%]
2023-02-08 14:24:36,634	32k	INFO	[2.6447157859802246, 2.4948313236236572, 8.282017707824707, 16.220354080200195, 0.5425633788108826, 5000, 9.24844296987506e-05]
2023-02-08 14:24:41,154	32k	INFO	Saving model and optimizer state at iteration 626 to ./logs\32k\G_5000.pth
2023-02-08 14:24:58,642	32k	INFO	Saving model and optimizer state at iteration 626 to ./logs\32k\D_5000.pth
2023-02-08 14:25:08,559	32k	INFO	====> Epoch: 626
2023-02-08 14:25:19,014	32k	INFO	====> Epoch: 627
2023-02-08 14:25:29,483	32k	INFO	====> Epoch: 628
2023-02-08 14:25:39,950	32k	INFO	====> Epoch: 629
2023-02-08 14:25:50,396	32k	INFO	====> Epoch: 630
2023-02-08 14:26:00,823	32k	INFO	====> Epoch: 631
2023-02-08 14:26:11,306	32k	INFO	====> Epoch: 632
2023-02-08 14:26:21,758	32k	INFO	====> Epoch: 633
2023-02-08 14:26:32,245	32k	INFO	====> Epoch: 634
2023-02-08 14:26:42,720	32k	INFO	====> Epoch: 635
2023-02-08 14:26:53,139	32k	INFO	====> Epoch: 636
2023-02-08 14:27:03,583	32k	INFO	====> Epoch: 637
2023-02-08 14:27:14,003	32k	INFO	====> Epoch: 638
2023-02-08 14:27:24,454	32k	INFO	====> Epoch: 639
2023-02-08 14:27:34,888	32k	INFO	====> Epoch: 640
2023-02-08 14:27:45,317	32k	INFO	====> Epoch: 641
2023-02-08 14:27:55,742	32k	INFO	====> Epoch: 642
2023-02-08 14:28:06,228	32k	INFO	====> Epoch: 643
2023-02-08 14:28:16,684	32k	INFO	====> Epoch: 644
2023-02-08 14:28:27,135	32k	INFO	====> Epoch: 645
2023-02-08 14:28:37,627	32k	INFO	====> Epoch: 646
2023-02-08 14:28:48,097	32k	INFO	====> Epoch: 647
2023-02-08 14:28:58,576	32k	INFO	====> Epoch: 648
2023-02-08 14:29:09,035	32k	INFO	====> Epoch: 649
2023-02-08 14:29:19,474	32k	INFO	====> Epoch: 650
2023-02-08 14:29:23,530	32k	INFO	Train Epoch: 651 [0%]
2023-02-08 14:29:23,530	32k	INFO	[2.6168711185455322, 2.336601972579956, 7.295401573181152, 13.743354797363281, 0.45886072516441345, 5200, 9.21958489615342e-05]
2023-02-08 14:29:30,258	32k	INFO	====> Epoch: 651
2023-02-08 14:29:40,663	32k	INFO	====> Epoch: 652
2023-02-08 14:29:51,195	32k	INFO	====> Epoch: 653
2023-02-08 14:30:01,673	32k	INFO	====> Epoch: 654
2023-02-08 14:30:12,101	32k	INFO	====> Epoch: 655
2023-02-08 14:30:22,549	32k	INFO	====> Epoch: 656
2023-02-08 14:30:33,025	32k	INFO	====> Epoch: 657
2023-02-08 14:30:43,446	32k	INFO	====> Epoch: 658
2023-02-08 14:30:53,906	32k	INFO	====> Epoch: 659
2023-02-08 14:31:04,396	32k	INFO	====> Epoch: 660
2023-02-08 14:31:14,857	32k	INFO	====> Epoch: 661
2023-02-08 14:31:25,300	32k	INFO	====> Epoch: 662
2023-02-08 14:31:35,789	32k	INFO	====> Epoch: 663
2023-02-08 14:31:46,206	32k	INFO	====> Epoch: 664
2023-02-08 14:31:56,707	32k	INFO	====> Epoch: 665
2023-02-08 14:32:07,303	32k	INFO	====> Epoch: 666
2023-02-08 14:32:17,767	32k	INFO	====> Epoch: 667
2023-02-08 14:32:28,186	32k	INFO	====> Epoch: 668
2023-02-08 14:32:38,637	32k	INFO	====> Epoch: 669
2023-02-08 14:32:49,089	32k	INFO	====> Epoch: 670
2023-02-08 14:32:59,545	32k	INFO	====> Epoch: 671
2023-02-08 14:33:10,006	32k	INFO	====> Epoch: 672
2023-02-08 14:33:20,527	32k	INFO	====> Epoch: 673
2023-02-08 14:33:30,965	32k	INFO	====> Epoch: 674
2023-02-08 14:33:41,442	32k	INFO	====> Epoch: 675
2023-02-08 14:33:45,456	32k	INFO	Train Epoch: 676 [0%]
2023-02-08 14:33:45,457	32k	INFO	[2.39501690864563, 2.742204189300537, 11.285855293273926, 17.018491744995117, 0.4999602735042572, 5400, 9.190816868769488e-05]
2023-02-08 14:33:52,190	32k	INFO	====> Epoch: 676
2023-02-08 14:34:02,667	32k	INFO	====> Epoch: 677
2023-02-08 14:34:13,085	32k	INFO	====> Epoch: 678
2023-02-08 14:34:23,617	32k	INFO	====> Epoch: 679
2023-02-08 14:34:34,149	32k	INFO	====> Epoch: 680
2023-02-08 14:34:44,615	32k	INFO	====> Epoch: 681
2023-02-08 14:34:55,059	32k	INFO	====> Epoch: 682
2023-02-08 14:35:05,554	32k	INFO	====> Epoch: 683
2023-02-08 14:35:15,984	32k	INFO	====> Epoch: 684
2023-02-08 14:35:26,497	32k	INFO	====> Epoch: 685
2023-02-08 14:35:36,967	32k	INFO	====> Epoch: 686
2023-02-08 14:35:47,403	32k	INFO	====> Epoch: 687
2023-02-08 14:35:57,784	32k	INFO	====> Epoch: 688
2023-02-08 14:36:08,243	32k	INFO	====> Epoch: 689
2023-02-08 14:36:18,662	32k	INFO	====> Epoch: 690
2023-02-08 14:36:29,172	32k	INFO	====> Epoch: 691
2023-02-08 14:36:39,664	32k	INFO	====> Epoch: 692
2023-02-08 14:36:50,100	32k	INFO	====> Epoch: 693
2023-02-08 14:37:00,523	32k	INFO	====> Epoch: 694
2023-02-08 14:37:10,952	32k	INFO	====> Epoch: 695
2023-02-08 14:37:21,400	32k	INFO	====> Epoch: 696
2023-02-08 14:37:31,819	32k	INFO	====> Epoch: 697
2023-02-08 14:37:42,273	32k	INFO	====> Epoch: 698
2023-02-08 14:37:52,721	32k	INFO	====> Epoch: 699
2023-02-08 14:38:03,177	32k	INFO	====> Epoch: 700
2023-02-08 14:38:07,179	32k	INFO	Train Epoch: 701 [0%]
2023-02-08 14:38:07,180	32k	INFO	[2.467379570007324, 2.506253957748413, 10.367718696594238, 16.206674575805664, 0.5342609286308289, 5600, 9.162138606750142e-05]
2023-02-08 14:38:13,914	32k	INFO	====> Epoch: 701
2023-02-08 14:38:24,354	32k	INFO	====> Epoch: 702
2023-02-08 14:38:34,821	32k	INFO	====> Epoch: 703
2023-02-08 14:38:45,286	32k	INFO	====> Epoch: 704
2023-02-08 14:38:55,740	32k	INFO	====> Epoch: 705
2023-02-08 14:39:06,181	32k	INFO	====> Epoch: 706
2023-02-08 14:39:16,603	32k	INFO	====> Epoch: 707
2023-02-08 14:39:27,047	32k	INFO	====> Epoch: 708
2023-02-08 14:39:37,521	32k	INFO	====> Epoch: 709
2023-02-08 14:39:47,981	32k	INFO	====> Epoch: 710
2023-02-08 14:39:58,457	32k	INFO	====> Epoch: 711
2023-02-08 14:40:08,907	32k	INFO	====> Epoch: 712
2023-02-08 14:40:19,379	32k	INFO	====> Epoch: 713
2023-02-08 14:40:29,831	32k	INFO	====> Epoch: 714
2023-02-08 14:40:40,286	32k	INFO	====> Epoch: 715
2023-02-08 14:40:50,773	32k	INFO	====> Epoch: 716
2023-02-08 14:41:01,267	32k	INFO	====> Epoch: 717
2023-02-08 14:41:11,721	32k	INFO	====> Epoch: 718
2023-02-08 14:41:22,136	32k	INFO	====> Epoch: 719
2023-02-08 14:41:32,592	32k	INFO	====> Epoch: 720
2023-02-08 14:41:43,022	32k	INFO	====> Epoch: 721
2023-02-08 14:41:53,480	32k	INFO	====> Epoch: 722
2023-02-08 14:42:03,959	32k	INFO	====> Epoch: 723
2023-02-08 14:42:14,401	32k	INFO	====> Epoch: 724
2023-02-08 14:42:24,839	32k	INFO	====> Epoch: 725
2023-02-08 14:42:28,880	32k	INFO	Train Epoch: 726 [0%]
2023-02-08 14:42:28,881	32k	INFO	[2.5040111541748047, 2.466392993927002, 8.85439395904541, 16.692232131958008, 0.7361732721328735, 5800, 9.133549829998994e-05]
2023-02-08 14:42:35,627	32k	INFO	====> Epoch: 726
2023-02-08 14:42:46,084	32k	INFO	====> Epoch: 727
2023-02-08 14:42:56,587	32k	INFO	====> Epoch: 728
2023-02-08 14:43:07,028	32k	INFO	====> Epoch: 729
2023-02-08 14:43:17,491	32k	INFO	====> Epoch: 730
2023-02-08 14:43:27,949	32k	INFO	====> Epoch: 731
2023-02-08 14:43:38,431	32k	INFO	====> Epoch: 732
2023-02-08 14:43:48,877	32k	INFO	====> Epoch: 733
2023-02-08 14:43:59,340	32k	INFO	====> Epoch: 734
2023-02-08 14:44:09,816	32k	INFO	====> Epoch: 735
2023-02-08 14:44:20,315	32k	INFO	====> Epoch: 736
2023-02-08 14:44:30,767	32k	INFO	====> Epoch: 737
2023-02-08 14:44:41,257	32k	INFO	====> Epoch: 738
2023-02-08 14:44:51,695	32k	INFO	====> Epoch: 739
2023-02-08 14:45:02,156	32k	INFO	====> Epoch: 740
2023-02-08 14:45:12,652	32k	INFO	====> Epoch: 741
2023-02-08 14:45:23,141	32k	INFO	====> Epoch: 742
2023-02-08 14:45:33,686	32k	INFO	====> Epoch: 743
2023-02-08 14:45:44,093	32k	INFO	====> Epoch: 744
2023-02-08 14:45:54,546	32k	INFO	====> Epoch: 745
2023-02-08 14:46:04,980	32k	INFO	====> Epoch: 746
2023-02-08 14:46:15,431	32k	INFO	====> Epoch: 747
2023-02-08 14:46:25,924	32k	INFO	====> Epoch: 748
2023-02-08 14:46:36,402	32k	INFO	====> Epoch: 749
2023-02-08 14:46:46,863	32k	INFO	====> Epoch: 750
2023-02-08 14:46:50,875	32k	INFO	Train Epoch: 751 [0%]
2023-02-08 14:46:50,876	32k	INFO	[2.708077907562256, 2.0911805629730225, 6.024332523345947, 12.141111373901367, 0.29878824949264526, 6000, 9.10505025929364e-05]
2023-02-08 14:46:55,402	32k	INFO	Saving model and optimizer state at iteration 751 to ./logs\32k\G_6000.pth
2023-02-08 14:47:14,382	32k	INFO	Saving model and optimizer state at iteration 751 to ./logs\32k\D_6000.pth
2023-02-08 14:47:25,535	32k	INFO	====> Epoch: 751
2023-02-08 14:47:36,421	32k	INFO	====> Epoch: 752
2023-02-08 14:47:48,126	32k	INFO	====> Epoch: 753
2023-02-08 14:48:00,421	32k	INFO	====> Epoch: 754
2023-02-08 14:48:12,482	32k	INFO	====> Epoch: 755
2023-02-08 14:48:25,163	32k	INFO	====> Epoch: 756
2023-02-08 14:48:37,467	32k	INFO	====> Epoch: 757
2023-02-08 14:48:50,488	32k	INFO	====> Epoch: 758
2023-02-08 14:49:03,213	32k	INFO	====> Epoch: 759
2023-02-08 14:49:15,546	32k	INFO	====> Epoch: 760
2023-02-08 14:49:28,153	32k	INFO	====> Epoch: 761
2023-02-08 14:49:40,480	32k	INFO	====> Epoch: 762
2023-02-08 14:49:53,195	32k	INFO	====> Epoch: 763
2023-02-08 14:50:05,378	32k	INFO	====> Epoch: 764
2023-02-08 14:50:17,373	32k	INFO	====> Epoch: 765
2023-02-08 14:50:29,364	32k	INFO	====> Epoch: 766
2023-02-08 14:50:41,728	32k	INFO	====> Epoch: 767
2023-02-08 14:50:54,048	32k	INFO	====> Epoch: 768
2023-02-08 14:51:05,906	32k	INFO	====> Epoch: 769
2023-02-08 14:51:17,686	32k	INFO	====> Epoch: 770
2023-02-08 14:51:28,142	32k	INFO	====> Epoch: 771
2023-02-08 14:51:38,637	32k	INFO	====> Epoch: 772
2023-02-08 14:51:49,021	32k	INFO	====> Epoch: 773
2023-02-08 14:51:59,496	32k	INFO	====> Epoch: 774
2023-02-08 14:52:09,912	32k	INFO	====> Epoch: 775
2023-02-08 14:52:13,944	32k	INFO	Train Epoch: 776 [0%]
2023-02-08 14:52:13,944	32k	INFO	[2.380657196044922, 2.5402140617370605, 5.409676551818848, 8.657439231872559, 0.3608459234237671, 6200, 9.076639616282937e-05]
2023-02-08 14:52:20,673	32k	INFO	====> Epoch: 776
2023-02-08 14:52:31,095	32k	INFO	====> Epoch: 777
2023-02-08 14:52:41,537	32k	INFO	====> Epoch: 778
2023-02-08 14:52:51,977	32k	INFO	====> Epoch: 779
2023-02-08 14:53:02,498	32k	INFO	====> Epoch: 780
2023-02-08 14:53:12,932	32k	INFO	====> Epoch: 781
2023-02-08 14:53:23,440	32k	INFO	====> Epoch: 782
2023-02-08 14:53:33,955	32k	INFO	====> Epoch: 783
2023-02-08 14:53:44,399	32k	INFO	====> Epoch: 784
2023-02-08 14:53:54,829	32k	INFO	====> Epoch: 785
2023-02-08 14:54:05,294	32k	INFO	====> Epoch: 786
2023-02-08 14:54:15,756	32k	INFO	====> Epoch: 787
2023-02-08 14:54:26,227	32k	INFO	====> Epoch: 788
2023-02-08 14:54:36,678	32k	INFO	====> Epoch: 789
2023-02-08 14:54:47,107	32k	INFO	====> Epoch: 790
2023-02-08 14:54:57,589	32k	INFO	====> Epoch: 791
2023-02-08 14:55:08,034	32k	INFO	====> Epoch: 792
2023-02-08 14:55:18,523	32k	INFO	====> Epoch: 793
2023-02-08 14:55:28,980	32k	INFO	====> Epoch: 794
2023-02-08 14:55:39,443	32k	INFO	====> Epoch: 795
2023-02-08 14:55:49,826	32k	INFO	====> Epoch: 796
2023-02-08 14:56:00,260	32k	INFO	====> Epoch: 797
2023-02-08 14:56:10,709	32k	INFO	====> Epoch: 798
2023-02-08 14:56:21,121	32k	INFO	====> Epoch: 799
2023-02-08 14:56:31,519	32k	INFO	====> Epoch: 800
2023-02-08 14:56:35,512	32k	INFO	Train Epoch: 801 [0%]
2023-02-08 14:56:35,512	32k	INFO	[2.281834602355957, 2.49271297454834, 8.486499786376953, 9.337076187133789, 0.4722132086753845, 6400, 9.048317623484297e-05]
2023-02-08 14:56:42,246	32k	INFO	====> Epoch: 801
2023-02-08 14:56:52,664	32k	INFO	====> Epoch: 802
2023-02-08 14:57:03,766	32k	INFO	====> Epoch: 803
2023-02-08 14:57:14,321	32k	INFO	====> Epoch: 804
2023-02-08 14:57:25,378	32k	INFO	====> Epoch: 805
2023-02-08 14:57:36,358	32k	INFO	====> Epoch: 806
2023-02-08 14:57:47,261	32k	INFO	====> Epoch: 807
2023-02-08 14:57:58,200	32k	INFO	====> Epoch: 808
2023-02-08 14:58:09,184	32k	INFO	====> Epoch: 809
2023-02-08 14:58:20,177	32k	INFO	====> Epoch: 810
2023-02-08 14:58:31,171	32k	INFO	====> Epoch: 811
2023-02-08 14:58:42,427	32k	INFO	====> Epoch: 812
2023-02-08 14:58:53,335	32k	INFO	====> Epoch: 813
2023-02-08 14:59:04,344	32k	INFO	====> Epoch: 814
2023-02-08 14:59:15,357	32k	INFO	====> Epoch: 815
2023-02-08 14:59:26,298	32k	INFO	====> Epoch: 816
2023-02-08 14:59:37,271	32k	INFO	====> Epoch: 817
2023-02-08 14:59:48,245	32k	INFO	====> Epoch: 818
2023-02-08 14:59:59,220	32k	INFO	====> Epoch: 819
2023-02-08 15:00:10,200	32k	INFO	====> Epoch: 820
2023-02-08 15:00:21,179	32k	INFO	====> Epoch: 821
2023-02-08 15:00:32,164	32k	INFO	====> Epoch: 822
2023-02-08 15:00:43,520	32k	INFO	====> Epoch: 823
2023-02-08 15:00:55,391	32k	INFO	====> Epoch: 824
2023-02-08 15:01:07,305	32k	INFO	====> Epoch: 825
2023-02-08 15:01:11,476	32k	INFO	Train Epoch: 826 [0%]
2023-02-08 15:01:11,476	32k	INFO	[2.4807486534118652, 2.2827072143554688, 7.221486568450928, 13.920226097106934, 0.560382604598999, 6600, 9.020084004280947e-05]
2023-02-08 15:01:18,850	32k	INFO	====> Epoch: 826
2023-02-08 15:01:31,019	32k	INFO	====> Epoch: 827
2023-02-08 15:01:41,668	32k	INFO	====> Epoch: 828
2023-02-08 15:01:53,036	32k	INFO	====> Epoch: 829
2023-02-08 15:02:04,194	32k	INFO	====> Epoch: 830
2023-02-08 15:02:15,482	32k	INFO	====> Epoch: 831
2023-02-08 15:02:27,567	32k	INFO	====> Epoch: 832
2023-02-08 15:02:38,579	32k	INFO	====> Epoch: 833
2023-02-08 15:02:49,291	32k	INFO	====> Epoch: 834
2023-02-08 15:02:59,838	32k	INFO	====> Epoch: 835
2023-02-08 15:03:10,333	32k	INFO	====> Epoch: 836
2023-02-08 15:03:20,796	32k	INFO	====> Epoch: 837
2023-02-08 15:03:31,278	32k	INFO	====> Epoch: 838
2023-02-08 15:03:41,769	32k	INFO	====> Epoch: 839
2023-02-08 15:03:52,223	32k	INFO	====> Epoch: 840
2023-02-08 15:04:02,774	32k	INFO	====> Epoch: 841
2023-02-08 15:04:13,214	32k	INFO	====> Epoch: 842
2023-02-08 15:04:23,684	32k	INFO	====> Epoch: 843
2023-02-08 15:04:34,119	32k	INFO	====> Epoch: 844
2023-02-08 15:04:44,603	32k	INFO	====> Epoch: 845
2023-02-08 15:04:55,044	32k	INFO	====> Epoch: 846
2023-02-08 15:05:05,520	32k	INFO	====> Epoch: 847
2023-02-08 15:05:15,972	32k	INFO	====> Epoch: 848
2023-02-08 15:05:26,412	32k	INFO	====> Epoch: 849
2023-02-08 15:05:36,882	32k	INFO	====> Epoch: 850
2023-02-08 15:05:40,935	32k	INFO	Train Epoch: 851 [0%]
2023-02-08 15:05:40,936	32k	INFO	[2.6382675170898438, 2.2649524211883545, 6.467780590057373, 15.13620662689209, 0.6978316903114319, 6800, 8.991938482919262e-05]
2023-02-08 15:05:47,698	32k	INFO	====> Epoch: 851
2023-02-08 15:05:58,132	32k	INFO	====> Epoch: 852
2023-02-08 15:06:08,604	32k	INFO	====> Epoch: 853
2023-02-08 15:06:19,070	32k	INFO	====> Epoch: 854
2023-02-08 15:06:29,524	32k	INFO	====> Epoch: 855
2023-02-08 15:06:39,984	32k	INFO	====> Epoch: 856
2023-02-08 15:06:50,431	32k	INFO	====> Epoch: 857
2023-02-08 15:07:00,888	32k	INFO	====> Epoch: 858
2023-02-08 15:07:11,347	32k	INFO	====> Epoch: 859
2023-02-08 15:07:21,811	32k	INFO	====> Epoch: 860
2023-02-08 15:07:32,270	32k	INFO	====> Epoch: 861
2023-02-08 15:07:42,710	32k	INFO	====> Epoch: 862
2023-02-08 15:07:53,156	32k	INFO	====> Epoch: 863
2023-02-08 15:08:03,669	32k	INFO	====> Epoch: 864
2023-02-08 15:08:14,111	32k	INFO	====> Epoch: 865
2023-02-08 15:08:24,569	32k	INFO	====> Epoch: 866
2023-02-08 15:08:35,037	32k	INFO	====> Epoch: 867
2023-02-08 15:08:45,521	32k	INFO	====> Epoch: 868
2023-02-08 15:08:55,989	32k	INFO	====> Epoch: 869
2023-02-08 15:09:06,443	32k	INFO	====> Epoch: 870
2023-02-08 15:09:16,926	32k	INFO	====> Epoch: 871
2023-02-08 15:09:27,339	32k	INFO	====> Epoch: 872
2023-02-08 15:09:37,842	32k	INFO	====> Epoch: 873
2023-02-08 15:09:48,323	32k	INFO	====> Epoch: 874
2023-02-08 15:09:58,759	32k	INFO	====> Epoch: 875
2023-02-08 15:10:02,779	32k	INFO	Train Epoch: 876 [0%]
2023-02-08 15:10:02,779	32k	INFO	[2.576415777206421, 2.173009157180786, 9.137277603149414, 14.052156448364258, 0.8793184757232666, 7000, 8.963880784506051e-05]
2023-02-08 15:10:07,314	32k	INFO	Saving model and optimizer state at iteration 876 to ./logs\32k\G_7000.pth
2023-02-08 15:10:26,424	32k	INFO	Saving model and optimizer state at iteration 876 to ./logs\32k\D_7000.pth
2023-02-08 15:10:36,636	32k	INFO	====> Epoch: 876
2023-02-08 15:10:47,059	32k	INFO	====> Epoch: 877
2023-02-08 15:10:57,481	32k	INFO	====> Epoch: 878
2023-02-08 15:11:07,973	32k	INFO	====> Epoch: 879
2023-02-08 15:11:18,476	32k	INFO	====> Epoch: 880
2023-02-08 15:11:28,997	32k	INFO	====> Epoch: 881
2023-02-08 15:11:39,491	32k	INFO	====> Epoch: 882
2023-02-08 15:11:49,947	32k	INFO	====> Epoch: 883
2023-02-08 15:12:00,411	32k	INFO	====> Epoch: 884
2023-02-08 15:12:10,874	32k	INFO	====> Epoch: 885
2023-02-08 15:12:21,332	32k	INFO	====> Epoch: 886
2023-02-08 15:12:31,836	32k	INFO	====> Epoch: 887
2023-02-08 15:12:42,331	32k	INFO	====> Epoch: 888
2023-02-08 15:12:52,820	32k	INFO	====> Epoch: 889
2023-02-08 15:13:03,274	32k	INFO	====> Epoch: 890
2023-02-08 15:13:13,741	32k	INFO	====> Epoch: 891
2023-02-08 15:13:24,208	32k	INFO	====> Epoch: 892
2023-02-08 15:13:34,664	32k	INFO	====> Epoch: 893
2023-02-08 15:13:45,149	32k	INFO	====> Epoch: 894
2023-02-08 15:13:55,756	32k	INFO	====> Epoch: 895
2023-02-08 15:14:06,725	32k	INFO	====> Epoch: 896
2023-02-08 15:14:17,695	32k	INFO	====> Epoch: 897
2023-02-08 15:14:28,647	32k	INFO	====> Epoch: 898
2023-02-08 15:14:39,621	32k	INFO	====> Epoch: 899
2023-02-08 15:14:50,598	32k	INFO	====> Epoch: 900
2023-02-08 15:14:54,714	32k	INFO	Train Epoch: 901 [0%]
2023-02-08 15:14:54,715	32k	INFO	[2.601248264312744, 2.081035614013672, 9.061874389648438, 12.292490005493164, 0.5596697330474854, 7200, 8.935910635005875e-05]
2023-02-08 15:15:01,877	32k	INFO	====> Epoch: 901
2023-02-08 15:15:12,799	32k	INFO	====> Epoch: 902
2023-02-08 15:15:23,786	32k	INFO	====> Epoch: 903
2023-02-08 15:15:34,733	32k	INFO	====> Epoch: 904
2023-02-08 15:15:45,687	32k	INFO	====> Epoch: 905
2023-02-08 15:15:56,628	32k	INFO	====> Epoch: 906
2023-02-08 15:16:07,592	32k	INFO	====> Epoch: 907
2023-02-08 15:16:18,525	32k	INFO	====> Epoch: 908
2023-02-08 15:16:29,504	32k	INFO	====> Epoch: 909
2023-02-08 15:16:40,563	32k	INFO	====> Epoch: 910
2023-02-08 15:16:51,972	32k	INFO	====> Epoch: 911
2023-02-08 15:17:03,006	32k	INFO	====> Epoch: 912
2023-02-08 15:17:13,935	32k	INFO	====> Epoch: 913
2023-02-08 15:17:24,860	32k	INFO	====> Epoch: 914
2023-02-08 15:17:35,820	32k	INFO	====> Epoch: 915
2023-02-08 15:17:46,766	32k	INFO	====> Epoch: 916
2023-02-08 15:17:57,749	32k	INFO	====> Epoch: 917
2023-02-08 15:18:08,748	32k	INFO	====> Epoch: 918
2023-02-08 15:18:19,736	32k	INFO	====> Epoch: 919
2023-02-08 15:18:30,194	32k	INFO	====> Epoch: 920
2023-02-08 15:18:40,576	32k	INFO	====> Epoch: 921
2023-02-08 15:18:51,009	32k	INFO	====> Epoch: 922
2023-02-08 15:19:01,430	32k	INFO	====> Epoch: 923
2023-02-08 15:19:11,900	32k	INFO	====> Epoch: 924
2023-02-08 15:19:22,372	32k	INFO	====> Epoch: 925
2023-02-08 15:19:26,453	32k	INFO	Train Epoch: 926 [0%]
2023-02-08 15:19:26,453	32k	INFO	[2.3586883544921875, 2.445369243621826, 10.450376510620117, 15.007806777954102, 0.30287420749664307, 7400, 8.908027761238368e-05]
2023-02-08 15:19:33,164	32k	INFO	====> Epoch: 926
2023-02-08 15:19:43,560	32k	INFO	====> Epoch: 927
2023-02-08 15:19:54,037	32k	INFO	====> Epoch: 928
2023-02-08 15:20:04,474	32k	INFO	====> Epoch: 929
2023-02-08 15:20:14,926	32k	INFO	====> Epoch: 930
2023-02-08 15:20:25,353	32k	INFO	====> Epoch: 931
2023-02-08 15:20:35,851	32k	INFO	====> Epoch: 932
2023-02-08 15:20:46,265	32k	INFO	====> Epoch: 933
2023-02-08 15:20:56,729	32k	INFO	====> Epoch: 934
2023-02-08 15:21:07,172	32k	INFO	====> Epoch: 935
2023-02-08 15:21:17,617	32k	INFO	====> Epoch: 936
2023-02-08 15:21:28,064	32k	INFO	====> Epoch: 937
2023-02-08 15:21:38,540	32k	INFO	====> Epoch: 938
2023-02-08 15:21:48,969	32k	INFO	====> Epoch: 939
2023-02-08 15:21:59,430	32k	INFO	====> Epoch: 940
2023-02-08 15:22:09,874	32k	INFO	====> Epoch: 941
2023-02-08 15:22:20,327	32k	INFO	====> Epoch: 942
2023-02-08 15:22:30,775	32k	INFO	====> Epoch: 943
2023-02-08 15:22:41,269	32k	INFO	====> Epoch: 944
2023-02-08 15:22:51,714	32k	INFO	====> Epoch: 945
2023-02-08 15:23:02,167	32k	INFO	====> Epoch: 946
2023-02-08 15:23:12,594	32k	INFO	====> Epoch: 947
2023-02-08 15:23:23,022	32k	INFO	====> Epoch: 948
2023-02-08 15:23:33,425	32k	INFO	====> Epoch: 949
2023-02-08 15:23:43,848	32k	INFO	====> Epoch: 950
2023-02-08 15:23:47,903	32k	INFO	Train Epoch: 951 [0%]
2023-02-08 15:23:47,904	32k	INFO	[2.2908716201782227, 2.487245559692383, 11.0421781539917, 15.191106796264648, 0.25323522090911865, 7600, 8.880231890875586e-05]
2023-02-08 15:23:54,727	32k	INFO	====> Epoch: 951
2023-02-08 15:24:05,177	32k	INFO	====> Epoch: 952
2023-02-08 15:24:15,642	32k	INFO	====> Epoch: 953
2023-02-08 15:24:26,083	32k	INFO	====> Epoch: 954
2023-02-08 15:24:36,498	32k	INFO	====> Epoch: 955
2023-02-08 15:24:46,961	32k	INFO	====> Epoch: 956
2023-02-08 15:24:57,430	32k	INFO	====> Epoch: 957
2023-02-08 15:25:07,864	32k	INFO	====> Epoch: 958
2023-02-08 15:25:18,298	32k	INFO	====> Epoch: 959
2023-02-08 15:25:28,709	32k	INFO	====> Epoch: 960
2023-02-08 15:25:39,138	32k	INFO	====> Epoch: 961
2023-02-08 15:25:49,553	32k	INFO	====> Epoch: 962
2023-02-08 15:25:59,994	32k	INFO	====> Epoch: 963
2023-02-08 15:26:10,416	32k	INFO	====> Epoch: 964
2023-02-08 15:26:20,861	32k	INFO	====> Epoch: 965
2023-02-08 15:26:31,286	32k	INFO	====> Epoch: 966
2023-02-08 15:26:41,710	32k	INFO	====> Epoch: 967
2023-02-08 15:26:52,130	32k	INFO	====> Epoch: 968
2023-02-08 15:27:02,586	32k	INFO	====> Epoch: 969
2023-02-08 15:27:13,039	32k	INFO	====> Epoch: 970
2023-02-08 15:27:23,448	32k	INFO	====> Epoch: 971
2023-02-08 15:27:33,845	32k	INFO	====> Epoch: 972
2023-02-08 15:27:44,350	32k	INFO	====> Epoch: 973
2023-02-08 15:27:54,783	32k	INFO	====> Epoch: 974
2023-02-08 15:28:05,192	32k	INFO	====> Epoch: 975
2023-02-08 15:28:09,252	32k	INFO	Train Epoch: 976 [0%]
2023-02-08 15:28:09,253	32k	INFO	[2.4291622638702393, 2.3482139110565186, 8.525779724121094, 12.738783836364746, 0.6060674786567688, 7800, 8.852522752439323e-05]
2023-02-08 15:28:15,961	32k	INFO	====> Epoch: 976
2023-02-08 15:28:26,373	32k	INFO	====> Epoch: 977
2023-02-08 15:28:36,762	32k	INFO	====> Epoch: 978
2023-02-08 15:28:48,245	32k	INFO	====> Epoch: 979
2023-02-08 15:28:58,648	32k	INFO	====> Epoch: 980
2023-02-08 15:29:09,048	32k	INFO	====> Epoch: 981
2023-02-08 15:29:19,433	32k	INFO	====> Epoch: 982
2023-02-08 15:29:29,844	32k	INFO	====> Epoch: 983
2023-02-08 15:29:40,252	32k	INFO	====> Epoch: 984
2023-02-08 15:29:50,734	32k	INFO	====> Epoch: 985
2023-02-08 15:30:01,141	32k	INFO	====> Epoch: 986
2023-02-08 15:30:11,547	32k	INFO	====> Epoch: 987
2023-02-08 15:30:21,997	32k	INFO	====> Epoch: 988
2023-02-08 15:30:32,447	32k	INFO	====> Epoch: 989
2023-02-08 15:30:42,815	32k	INFO	====> Epoch: 990
2023-02-08 15:30:53,262	32k	INFO	====> Epoch: 991
2023-02-08 15:31:03,669	32k	INFO	====> Epoch: 992
2023-02-08 15:31:14,118	32k	INFO	====> Epoch: 993
2023-02-08 15:31:24,563	32k	INFO	====> Epoch: 994
2023-02-08 15:31:34,984	32k	INFO	====> Epoch: 995
2023-02-08 15:31:45,400	32k	INFO	====> Epoch: 996
2023-02-08 15:31:55,828	32k	INFO	====> Epoch: 997
2023-02-08 15:32:06,259	32k	INFO	====> Epoch: 998
2023-02-08 15:32:16,650	32k	INFO	====> Epoch: 999
2023-02-08 15:32:27,052	32k	INFO	====> Epoch: 1000
2023-02-08 15:32:31,075	32k	INFO	Train Epoch: 1001 [0%]
2023-02-08 15:32:31,076	32k	INFO	[2.5141525268554688, 2.477264642715454, 8.861898422241211, 11.3552885055542, 0.48962900042533875, 8000, 8.824900075298475e-05]
2023-02-08 15:32:35,607	32k	INFO	Saving model and optimizer state at iteration 1001 to ./logs\32k\G_8000.pth
2023-02-08 15:32:54,263	32k	INFO	Saving model and optimizer state at iteration 1001 to ./logs\32k\D_8000.pth
2023-02-08 15:33:04,375	32k	INFO	====> Epoch: 1001
2023-02-08 15:33:14,811	32k	INFO	====> Epoch: 1002
2023-02-08 15:33:25,192	32k	INFO	====> Epoch: 1003
2023-02-08 15:33:35,599	32k	INFO	====> Epoch: 1004
2023-02-08 15:33:46,049	32k	INFO	====> Epoch: 1005
2023-02-08 15:33:56,492	32k	INFO	====> Epoch: 1006
2023-02-08 15:34:06,887	32k	INFO	====> Epoch: 1007
2023-02-08 15:34:17,308	32k	INFO	====> Epoch: 1008
2023-02-08 15:34:27,723	32k	INFO	====> Epoch: 1009
2023-02-08 15:34:38,147	32k	INFO	====> Epoch: 1010
2023-02-08 15:34:48,582	32k	INFO	====> Epoch: 1011
2023-02-08 15:34:58,954	32k	INFO	====> Epoch: 1012
2023-02-08 15:35:09,367	32k	INFO	====> Epoch: 1013
2023-02-08 15:35:19,789	32k	INFO	====> Epoch: 1014
2023-02-08 15:35:30,193	32k	INFO	====> Epoch: 1015
2023-02-08 15:35:40,573	32k	INFO	====> Epoch: 1016
2023-02-08 15:35:51,013	32k	INFO	====> Epoch: 1017
2023-02-08 15:36:01,470	32k	INFO	====> Epoch: 1018
2023-02-08 15:36:11,928	32k	INFO	====> Epoch: 1019
2023-02-08 15:36:22,295	32k	INFO	====> Epoch: 1020
2023-02-08 15:36:32,718	32k	INFO	====> Epoch: 1021
2023-02-08 15:36:43,142	32k	INFO	====> Epoch: 1022
2023-02-08 15:36:53,585	32k	INFO	====> Epoch: 1023
2023-02-08 15:37:03,982	32k	INFO	====> Epoch: 1024
2023-02-08 15:37:14,434	32k	INFO	====> Epoch: 1025
2023-02-08 15:37:18,453	32k	INFO	Train Epoch: 1026 [0%]
2023-02-08 15:37:18,453	32k	INFO	[2.3113389015197754, 2.4582858085632324, 13.42828369140625, 16.79227638244629, 0.9814646244049072, 8200, 8.797363589666394e-05]
2023-02-08 15:37:25,184	32k	INFO	====> Epoch: 1026
2023-02-08 15:37:35,600	32k	INFO	====> Epoch: 1027
2023-02-08 15:37:46,004	32k	INFO	====> Epoch: 1028
2023-02-08 15:37:56,442	32k	INFO	====> Epoch: 1029
2023-02-08 15:38:06,900	32k	INFO	====> Epoch: 1030
2023-02-08 15:38:17,353	32k	INFO	====> Epoch: 1031
2023-02-08 15:38:27,819	32k	INFO	====> Epoch: 1032
2023-02-08 15:38:38,294	32k	INFO	====> Epoch: 1033
2023-02-08 15:38:48,677	32k	INFO	====> Epoch: 1034
2023-02-08 15:38:59,088	32k	INFO	====> Epoch: 1035
2023-02-08 15:39:09,540	32k	INFO	====> Epoch: 1036
2023-02-08 15:39:19,971	32k	INFO	====> Epoch: 1037
2023-02-08 15:39:30,372	32k	INFO	====> Epoch: 1038
2023-02-08 15:39:40,785	32k	INFO	====> Epoch: 1039
2023-02-08 15:39:51,209	32k	INFO	====> Epoch: 1040
2023-02-08 15:40:01,612	32k	INFO	====> Epoch: 1041
2023-02-08 15:40:12,015	32k	INFO	====> Epoch: 1042
2023-02-08 15:40:22,444	32k	INFO	====> Epoch: 1043
2023-02-08 15:40:32,880	32k	INFO	====> Epoch: 1044
2023-02-08 15:40:43,314	32k	INFO	====> Epoch: 1045
2023-02-08 15:40:53,740	32k	INFO	====> Epoch: 1046
2023-02-08 15:41:04,146	32k	INFO	====> Epoch: 1047
2023-02-08 15:41:14,602	32k	INFO	====> Epoch: 1048
2023-02-08 15:41:25,034	32k	INFO	====> Epoch: 1049
2023-02-08 15:41:35,468	32k	INFO	====> Epoch: 1050
2023-02-08 15:41:39,500	32k	INFO	Train Epoch: 1051 [0%]
2023-02-08 15:41:39,500	32k	INFO	[2.3772125244140625, 2.4062163829803467, 8.71052360534668, 15.77096939086914, 0.5276881456375122, 8400, 8.769913026598255e-05]
2023-02-08 15:41:46,221	32k	INFO	====> Epoch: 1051
2023-02-08 15:41:56,642	32k	INFO	====> Epoch: 1052
2023-02-08 15:42:07,068	32k	INFO	====> Epoch: 1053
2023-02-08 15:42:17,497	32k	INFO	====> Epoch: 1054
2023-02-08 15:42:27,930	32k	INFO	====> Epoch: 1055
2023-02-08 15:42:38,361	32k	INFO	====> Epoch: 1056
2023-02-08 15:42:48,731	32k	INFO	====> Epoch: 1057
2023-02-08 15:42:59,279	32k	INFO	====> Epoch: 1058
2023-02-08 15:43:09,686	32k	INFO	====> Epoch: 1059
2023-02-08 15:43:20,109	32k	INFO	====> Epoch: 1060
2023-02-08 15:43:30,576	32k	INFO	====> Epoch: 1061
2023-02-08 15:43:41,040	32k	INFO	====> Epoch: 1062
2023-02-08 15:43:51,492	32k	INFO	====> Epoch: 1063
2023-02-08 15:44:01,896	32k	INFO	====> Epoch: 1064
2023-02-08 15:44:12,343	32k	INFO	====> Epoch: 1065
2023-02-08 15:44:22,754	32k	INFO	====> Epoch: 1066
2023-02-08 15:44:33,209	32k	INFO	====> Epoch: 1067
2023-02-08 15:44:43,662	32k	INFO	====> Epoch: 1068
2023-02-08 15:44:54,124	32k	INFO	====> Epoch: 1069
2023-02-08 15:45:04,559	32k	INFO	====> Epoch: 1070
2023-02-08 15:45:15,046	32k	INFO	====> Epoch: 1071
2023-02-08 15:45:25,426	32k	INFO	====> Epoch: 1072
2023-02-08 15:45:35,849	32k	INFO	====> Epoch: 1073
2023-02-08 15:45:46,282	32k	INFO	====> Epoch: 1074
2023-02-08 15:45:56,743	32k	INFO	====> Epoch: 1075
2023-02-08 15:46:00,763	32k	INFO	Train Epoch: 1076 [0%]
2023-02-08 15:46:00,764	32k	INFO	[2.368016242980957, 2.7549750804901123, 10.571125984191895, 16.277772903442383, 0.6881304979324341, 8600, 8.742548117988416e-05]
2023-02-08 15:46:07,484	32k	INFO	====> Epoch: 1076
2023-02-08 15:46:17,925	32k	INFO	====> Epoch: 1077
2023-02-08 15:46:28,342	32k	INFO	====> Epoch: 1078
2023-02-08 15:46:38,784	32k	INFO	====> Epoch: 1079
2023-02-08 15:46:49,184	32k	INFO	====> Epoch: 1080
2023-02-08 15:46:59,606	32k	INFO	====> Epoch: 1081
2023-02-08 15:47:10,038	32k	INFO	====> Epoch: 1082
2023-02-08 15:47:20,460	32k	INFO	====> Epoch: 1083
2023-02-08 15:47:30,867	32k	INFO	====> Epoch: 1084
2023-02-08 15:47:41,281	32k	INFO	====> Epoch: 1085
2023-02-08 15:47:51,694	32k	INFO	====> Epoch: 1086
2023-02-08 15:48:02,138	32k	INFO	====> Epoch: 1087
2023-02-08 15:48:12,576	32k	INFO	====> Epoch: 1088
2023-02-08 15:48:23,018	32k	INFO	====> Epoch: 1089
2023-02-08 15:48:33,451	32k	INFO	====> Epoch: 1090
2023-02-08 15:48:43,911	32k	INFO	====> Epoch: 1091
2023-02-08 15:48:54,299	32k	INFO	====> Epoch: 1092
2023-02-08 15:49:04,753	32k	INFO	====> Epoch: 1093
2023-02-08 15:49:15,171	32k	INFO	====> Epoch: 1094
2023-02-08 15:49:25,595	32k	INFO	====> Epoch: 1095
2023-02-08 15:49:36,023	32k	INFO	====> Epoch: 1096
2023-02-08 15:49:46,403	32k	INFO	====> Epoch: 1097
2023-02-08 15:49:56,812	32k	INFO	====> Epoch: 1098
2023-02-08 15:50:07,224	32k	INFO	====> Epoch: 1099
2023-02-08 15:50:17,633	32k	INFO	====> Epoch: 1100
2023-02-08 15:50:21,630	32k	INFO	Train Epoch: 1101 [0%]
2023-02-08 15:50:21,630	32k	INFO	[2.50239896774292, 2.014866352081299, 4.617259979248047, 9.480363845825195, 0.3800634443759918, 8800, 8.715268596567818e-05]
2023-02-08 15:50:28,335	32k	INFO	====> Epoch: 1101
2023-02-08 15:50:38,729	32k	INFO	====> Epoch: 1102
2023-02-08 15:50:49,154	32k	INFO	====> Epoch: 1103
2023-02-08 15:50:59,579	32k	INFO	====> Epoch: 1104
2023-02-08 15:51:10,007	32k	INFO	====> Epoch: 1105
2023-02-08 15:51:20,432	32k	INFO	====> Epoch: 1106
2023-02-08 15:51:30,843	32k	INFO	====> Epoch: 1107
2023-02-08 15:51:41,267	32k	INFO	====> Epoch: 1108
2023-02-08 15:51:51,659	32k	INFO	====> Epoch: 1109
2023-02-08 15:52:02,118	32k	INFO	====> Epoch: 1110
2023-02-08 15:52:12,546	32k	INFO	====> Epoch: 1111
2023-02-08 15:52:22,994	32k	INFO	====> Epoch: 1112
2023-02-08 15:52:33,414	32k	INFO	====> Epoch: 1113
2023-02-08 15:52:43,798	32k	INFO	====> Epoch: 1114
2023-02-08 15:52:54,204	32k	INFO	====> Epoch: 1115
2023-02-08 15:53:04,640	32k	INFO	====> Epoch: 1116
2023-02-08 15:53:15,147	32k	INFO	====> Epoch: 1117
2023-02-08 15:53:25,518	32k	INFO	====> Epoch: 1118
2023-02-08 15:53:35,961	32k	INFO	====> Epoch: 1119
2023-02-08 15:53:46,340	32k	INFO	====> Epoch: 1120
2023-02-08 15:53:56,757	32k	INFO	====> Epoch: 1121
2023-02-08 15:54:07,208	32k	INFO	====> Epoch: 1122
2023-02-08 15:54:17,661	32k	INFO	====> Epoch: 1123
2023-02-08 15:54:28,102	32k	INFO	====> Epoch: 1124
2023-02-08 15:54:38,593	32k	INFO	====> Epoch: 1125
2023-02-08 15:54:42,558	32k	INFO	Train Epoch: 1126 [0%]
2023-02-08 15:54:42,559	32k	INFO	[2.329139471054077, 2.332341432571411, 10.99363899230957, 13.993705749511719, 0.589634358882904, 9000, 8.688074195901366e-05]
2023-02-08 15:54:47,066	32k	INFO	Saving model and optimizer state at iteration 1126 to ./logs\32k\G_9000.pth
2023-02-08 15:55:04,077	32k	INFO	Saving model and optimizer state at iteration 1126 to ./logs\32k\D_9000.pth
2023-02-08 15:55:13,864	32k	INFO	====> Epoch: 1126
2023-02-08 15:55:24,303	32k	INFO	====> Epoch: 1127
2023-02-08 15:55:34,717	32k	INFO	====> Epoch: 1128
2023-02-08 15:55:45,140	32k	INFO	====> Epoch: 1129
2023-02-08 15:55:55,528	32k	INFO	====> Epoch: 1130
2023-02-08 15:56:05,950	32k	INFO	====> Epoch: 1131
2023-02-08 15:56:16,382	32k	INFO	====> Epoch: 1132
2023-02-08 15:56:26,851	32k	INFO	====> Epoch: 1133
2023-02-08 15:56:37,278	32k	INFO	====> Epoch: 1134
2023-02-08 15:56:47,745	32k	INFO	====> Epoch: 1135
2023-02-08 15:56:58,174	32k	INFO	====> Epoch: 1136
2023-02-08 15:57:08,590	32k	INFO	====> Epoch: 1137
2023-02-08 15:57:18,988	32k	INFO	====> Epoch: 1138
2023-02-08 15:57:29,453	32k	INFO	====> Epoch: 1139
2023-02-08 15:57:39,879	32k	INFO	====> Epoch: 1140
2023-02-08 15:57:50,308	32k	INFO	====> Epoch: 1141
2023-02-08 15:58:00,702	32k	INFO	====> Epoch: 1142
2023-02-08 15:58:11,104	32k	INFO	====> Epoch: 1143
2023-02-08 15:58:21,495	32k	INFO	====> Epoch: 1144
2023-02-08 15:58:31,892	32k	INFO	====> Epoch: 1145
2023-02-08 15:58:42,296	32k	INFO	====> Epoch: 1146
2023-02-08 15:58:52,775	32k	INFO	====> Epoch: 1147
2023-02-08 15:59:03,197	32k	INFO	====> Epoch: 1148
2023-02-08 15:59:13,618	32k	INFO	====> Epoch: 1149
2023-02-08 15:59:24,045	32k	INFO	====> Epoch: 1150
2023-02-08 15:59:28,063	32k	INFO	Train Epoch: 1151 [0%]
2023-02-08 15:59:28,063	32k	INFO	[2.414740800857544, 2.500610589981079, 5.038323879241943, 10.997725486755371, 0.9988903403282166, 9200, 8.66096465038532e-05]
2023-02-08 15:59:34,764	32k	INFO	====> Epoch: 1151
2023-02-08 15:59:45,189	32k	INFO	====> Epoch: 1152
2023-02-08 15:59:55,582	32k	INFO	====> Epoch: 1153
2023-02-08 16:00:06,141	32k	INFO	====> Epoch: 1154
2023-02-08 16:00:16,566	32k	INFO	====> Epoch: 1155
2023-02-08 16:00:26,992	32k	INFO	====> Epoch: 1156
2023-02-08 16:00:37,407	32k	INFO	====> Epoch: 1157
2023-02-08 16:00:47,841	32k	INFO	====> Epoch: 1158
2023-02-08 16:00:58,275	32k	INFO	====> Epoch: 1159
2023-02-08 16:01:08,728	32k	INFO	====> Epoch: 1160
2023-02-08 16:01:19,143	32k	INFO	====> Epoch: 1161
2023-02-08 16:01:29,591	32k	INFO	====> Epoch: 1162
2023-02-08 16:01:40,042	32k	INFO	====> Epoch: 1163
2023-02-08 16:01:50,478	32k	INFO	====> Epoch: 1164
2023-02-08 16:02:00,872	32k	INFO	====> Epoch: 1165
2023-02-08 16:02:11,335	32k	INFO	====> Epoch: 1166
2023-02-08 16:02:21,712	32k	INFO	====> Epoch: 1167
2023-02-08 16:02:32,106	32k	INFO	====> Epoch: 1168
2023-02-08 16:02:42,501	32k	INFO	====> Epoch: 1169
2023-02-08 16:02:52,913	32k	INFO	====> Epoch: 1170
2023-02-08 16:03:03,349	32k	INFO	====> Epoch: 1171
2023-02-08 16:03:13,739	32k	INFO	====> Epoch: 1172
2023-02-08 16:03:24,199	32k	INFO	====> Epoch: 1173
2023-02-08 16:03:34,585	32k	INFO	====> Epoch: 1174
2023-02-08 16:03:45,038	32k	INFO	====> Epoch: 1175
2023-02-08 16:03:49,043	32k	INFO	Train Epoch: 1176 [0%]
2023-02-08 16:03:49,043	32k	INFO	[2.4412825107574463, 2.2286088466644287, 8.41398811340332, 12.510282516479492, 0.6612334251403809, 9400, 8.633939695244714e-05]
2023-02-08 16:03:55,752	32k	INFO	====> Epoch: 1176
2023-02-08 16:04:06,168	32k	INFO	====> Epoch: 1177
2023-02-08 16:04:16,614	32k	INFO	====> Epoch: 1178
2023-02-08 16:04:27,097	32k	INFO	====> Epoch: 1179
2023-02-08 16:04:37,484	32k	INFO	====> Epoch: 1180
2023-02-08 16:04:47,908	32k	INFO	====> Epoch: 1181
2023-02-08 16:04:58,296	32k	INFO	====> Epoch: 1182
2023-02-08 16:05:08,758	32k	INFO	====> Epoch: 1183
2023-02-08 16:05:19,147	32k	INFO	====> Epoch: 1184
2023-02-08 16:05:29,597	32k	INFO	====> Epoch: 1185
2023-02-08 16:05:40,033	32k	INFO	====> Epoch: 1186
2023-02-08 16:05:50,480	32k	INFO	====> Epoch: 1187
2023-02-08 16:06:00,863	32k	INFO	====> Epoch: 1188
2023-02-08 16:06:11,385	32k	INFO	====> Epoch: 1189
2023-02-08 16:06:21,826	32k	INFO	====> Epoch: 1190
2023-02-08 16:06:32,310	32k	INFO	====> Epoch: 1191
2023-02-08 16:06:42,806	32k	INFO	====> Epoch: 1192
2023-02-08 16:06:53,253	32k	INFO	====> Epoch: 1193
2023-02-08 16:07:03,684	32k	INFO	====> Epoch: 1194
2023-02-08 16:07:14,084	32k	INFO	====> Epoch: 1195
2023-02-08 16:07:24,515	32k	INFO	====> Epoch: 1196
2023-02-08 16:07:34,959	32k	INFO	====> Epoch: 1197
2023-02-08 16:07:45,369	32k	INFO	====> Epoch: 1198
2023-02-08 16:07:55,825	32k	INFO	====> Epoch: 1199
2023-02-08 16:08:06,222	32k	INFO	====> Epoch: 1200
2023-02-08 16:08:10,251	32k	INFO	Train Epoch: 1201 [0%]
2023-02-08 16:08:10,251	32k	INFO	[2.3485965728759766, 2.621734619140625, 11.406315803527832, 16.393457412719727, 0.3277435004711151, 9600, 8.60699906653076e-05]
2023-02-08 16:08:16,979	32k	INFO	====> Epoch: 1201
2023-02-08 16:08:27,406	32k	INFO	====> Epoch: 1202
2023-02-08 16:08:37,799	32k	INFO	====> Epoch: 1203
2023-02-08 16:08:48,254	32k	INFO	====> Epoch: 1204
2023-02-08 16:08:58,705	32k	INFO	====> Epoch: 1205
2023-02-08 16:09:09,169	32k	INFO	====> Epoch: 1206
2023-02-08 16:09:19,622	32k	INFO	====> Epoch: 1207
2023-02-08 16:09:30,061	32k	INFO	====> Epoch: 1208
2023-02-08 16:09:40,472	32k	INFO	====> Epoch: 1209
2023-02-08 16:09:50,894	32k	INFO	====> Epoch: 1210
2023-02-08 16:10:01,410	32k	INFO	====> Epoch: 1211
2023-02-08 16:10:11,882	32k	INFO	====> Epoch: 1212
2023-02-08 16:10:22,456	32k	INFO	====> Epoch: 1213
2023-02-08 16:10:32,887	32k	INFO	====> Epoch: 1214
2023-02-08 16:10:43,310	32k	INFO	====> Epoch: 1215
2023-02-08 16:10:53,760	32k	INFO	====> Epoch: 1216
2023-02-08 16:11:04,204	32k	INFO	====> Epoch: 1217
2023-02-08 16:11:14,705	32k	INFO	====> Epoch: 1218
2023-02-08 16:11:25,169	32k	INFO	====> Epoch: 1219
2023-02-08 16:11:35,623	32k	INFO	====> Epoch: 1220
2023-02-08 16:11:46,038	32k	INFO	====> Epoch: 1221
2023-02-08 16:11:56,499	32k	INFO	====> Epoch: 1222
2023-02-08 16:12:06,962	32k	INFO	====> Epoch: 1223
2023-02-08 16:12:17,411	32k	INFO	====> Epoch: 1224
2023-02-08 16:12:27,872	32k	INFO	====> Epoch: 1225
2023-02-08 16:12:31,929	32k	INFO	Train Epoch: 1226 [0%]
2023-02-08 16:12:31,930	32k	INFO	[2.238590717315674, 2.6577751636505127, 8.522804260253906, 10.102797508239746, 0.6425559520721436, 9800, 8.580142501118281e-05]
2023-02-08 16:12:38,658	32k	INFO	====> Epoch: 1226
2023-02-08 16:12:49,068	32k	INFO	====> Epoch: 1227
2023-02-08 16:12:59,520	32k	INFO	====> Epoch: 1228
2023-02-08 16:13:09,964	32k	INFO	====> Epoch: 1229
2023-02-08 16:13:20,393	32k	INFO	====> Epoch: 1230
2023-02-08 16:13:30,826	32k	INFO	====> Epoch: 1231
2023-02-08 16:13:41,254	32k	INFO	====> Epoch: 1232
2023-02-08 16:13:51,720	32k	INFO	====> Epoch: 1233
2023-02-08 16:14:02,158	32k	INFO	====> Epoch: 1234
2023-02-08 16:14:12,572	32k	INFO	====> Epoch: 1235
2023-02-08 16:14:23,029	32k	INFO	====> Epoch: 1236
2023-02-08 16:14:33,459	32k	INFO	====> Epoch: 1237
2023-02-08 16:14:43,870	32k	INFO	====> Epoch: 1238
2023-02-08 16:14:54,310	32k	INFO	====> Epoch: 1239
2023-02-08 16:15:04,678	32k	INFO	====> Epoch: 1240
2023-02-08 16:15:15,116	32k	INFO	====> Epoch: 1241
2023-02-08 16:15:25,536	32k	INFO	====> Epoch: 1242
2023-02-08 16:15:35,970	32k	INFO	====> Epoch: 1243
2023-02-08 16:15:46,431	32k	INFO	====> Epoch: 1244
2023-02-08 16:15:56,897	32k	INFO	====> Epoch: 1245
2023-02-08 16:16:07,277	32k	INFO	====> Epoch: 1246
2023-02-08 16:16:17,700	32k	INFO	====> Epoch: 1247
2023-02-08 16:16:28,138	32k	INFO	====> Epoch: 1248
2023-02-08 16:16:38,590	32k	INFO	====> Epoch: 1249
2023-02-08 16:16:49,010	32k	INFO	====> Epoch: 1250
2023-02-08 16:16:53,103	32k	INFO	Train Epoch: 1251 [0%]
2023-02-08 16:16:53,103	32k	INFO	[2.302429676055908, 2.504709243774414, 9.451872825622559, 12.736116409301758, 0.3429734408855438, 10000, 8.553369736703125e-05]
2023-02-08 16:16:57,660	32k	INFO	Saving model and optimizer state at iteration 1251 to ./logs\32k\G_10000.pth
2023-02-08 16:17:16,954	32k	INFO	Saving model and optimizer state at iteration 1251 to ./logs\32k\D_10000.pth
2023-02-08 16:17:27,022	32k	INFO	====> Epoch: 1251
2023-02-08 16:17:37,402	32k	INFO	====> Epoch: 1252
2023-02-08 16:17:47,802	32k	INFO	====> Epoch: 1253
2023-02-08 16:17:58,187	32k	INFO	====> Epoch: 1254
2023-02-08 16:18:08,725	32k	INFO	====> Epoch: 1255
2023-02-08 16:18:19,124	32k	INFO	====> Epoch: 1256
2023-02-08 16:18:29,596	32k	INFO	====> Epoch: 1257
2023-02-08 16:18:40,092	32k	INFO	====> Epoch: 1258
2023-02-08 16:18:50,517	32k	INFO	====> Epoch: 1259
2023-02-08 16:19:01,020	32k	INFO	====> Epoch: 1260
2023-02-08 16:19:11,487	32k	INFO	====> Epoch: 1261
2023-02-08 16:19:21,897	32k	INFO	====> Epoch: 1262
2023-02-08 16:19:32,328	32k	INFO	====> Epoch: 1263
2023-02-08 16:19:42,735	32k	INFO	====> Epoch: 1264
2023-02-08 16:19:53,138	32k	INFO	====> Epoch: 1265
2023-02-08 16:20:03,569	32k	INFO	====> Epoch: 1266
2023-02-08 16:20:13,960	32k	INFO	====> Epoch: 1267
2023-02-08 16:20:24,350	32k	INFO	====> Epoch: 1268
2023-02-08 16:20:34,769	32k	INFO	====> Epoch: 1269
2023-02-08 16:20:45,162	32k	INFO	====> Epoch: 1270
2023-02-08 16:20:55,553	32k	INFO	====> Epoch: 1271
2023-02-08 16:21:05,982	32k	INFO	====> Epoch: 1272
2023-02-08 16:21:16,352	32k	INFO	====> Epoch: 1273
2023-02-08 16:21:26,793	32k	INFO	====> Epoch: 1274
2023-02-08 16:21:37,202	32k	INFO	====> Epoch: 1275
2023-02-08 16:21:41,248	32k	INFO	Train Epoch: 1276 [0%]
2023-02-08 16:21:41,249	32k	INFO	[2.565802574157715, 2.2390196323394775, 6.8655781745910645, 9.479975700378418, 0.7622231245040894, 10200, 8.526680511799619e-05]
2023-02-08 16:21:47,932	32k	INFO	====> Epoch: 1276
2023-02-08 16:21:58,350	32k	INFO	====> Epoch: 1277
2023-02-08 16:22:08,810	32k	INFO	====> Epoch: 1278
2023-02-08 16:22:19,205	32k	INFO	====> Epoch: 1279
2023-02-08 16:22:29,664	32k	INFO	====> Epoch: 1280
2023-02-08 16:22:40,057	32k	INFO	====> Epoch: 1281
2023-02-08 16:22:50,503	32k	INFO	====> Epoch: 1282
2023-02-08 16:23:00,946	32k	INFO	====> Epoch: 1283
2023-02-08 16:23:11,424	32k	INFO	====> Epoch: 1284
2023-02-08 16:23:21,845	32k	INFO	====> Epoch: 1285
2023-02-08 16:23:32,334	32k	INFO	====> Epoch: 1286
2023-02-08 16:23:42,782	32k	INFO	====> Epoch: 1287
2023-02-08 16:23:53,232	32k	INFO	====> Epoch: 1288
2023-02-08 16:24:03,622	32k	INFO	====> Epoch: 1289
2023-02-08 16:24:14,067	32k	INFO	====> Epoch: 1290
2023-02-08 16:24:24,510	32k	INFO	====> Epoch: 1291
2023-02-08 16:24:34,960	32k	INFO	====> Epoch: 1292
2023-02-08 16:24:45,362	32k	INFO	====> Epoch: 1293
2023-02-08 16:24:55,830	32k	INFO	====> Epoch: 1294
2023-02-08 16:25:06,235	32k	INFO	====> Epoch: 1295
2023-02-08 16:25:16,645	32k	INFO	====> Epoch: 1296
2023-02-08 16:25:27,063	32k	INFO	====> Epoch: 1297
2023-02-08 16:25:37,516	32k	INFO	====> Epoch: 1298
2023-02-08 16:25:47,975	32k	INFO	====> Epoch: 1299
2023-02-08 16:25:58,408	32k	INFO	====> Epoch: 1300
2023-02-08 16:26:02,449	32k	INFO	Train Epoch: 1301 [0%]
2023-02-08 16:26:02,449	32k	INFO	[2.6742568016052246, 2.465543508529663, 7.434677600860596, 10.445813179016113, 0.4734140634536743, 10400, 8.500074565738009e-05]
2023-02-08 16:26:09,163	32k	INFO	====> Epoch: 1301
2023-02-08 16:26:19,584	32k	INFO	====> Epoch: 1302
2023-02-08 16:26:30,075	32k	INFO	====> Epoch: 1303
2023-02-08 16:26:40,508	32k	INFO	====> Epoch: 1304
2023-02-08 16:26:50,904	32k	INFO	====> Epoch: 1305
2023-02-08 16:27:01,314	32k	INFO	====> Epoch: 1306
2023-02-08 16:27:11,759	32k	INFO	====> Epoch: 1307
2023-02-08 16:27:22,205	32k	INFO	====> Epoch: 1308
2023-02-08 16:27:32,654	32k	INFO	====> Epoch: 1309
2023-02-08 16:27:43,091	32k	INFO	====> Epoch: 1310
2023-02-08 16:27:53,567	32k	INFO	====> Epoch: 1311
2023-02-08 16:28:03,983	32k	INFO	====> Epoch: 1312
2023-02-08 16:28:14,425	32k	INFO	====> Epoch: 1313
2023-02-08 16:28:24,822	32k	INFO	====> Epoch: 1314
2023-02-08 16:28:35,248	32k	INFO	====> Epoch: 1315
2023-02-08 16:28:45,632	32k	INFO	====> Epoch: 1316
2023-02-08 16:28:56,028	32k	INFO	====> Epoch: 1317
2023-02-08 16:29:06,488	32k	INFO	====> Epoch: 1318
2023-02-08 16:29:16,923	32k	INFO	====> Epoch: 1319
2023-02-08 16:29:27,379	32k	INFO	====> Epoch: 1320
2023-02-08 16:29:37,892	32k	INFO	====> Epoch: 1321
2023-02-08 16:29:48,350	32k	INFO	====> Epoch: 1322
2023-02-08 16:29:58,785	32k	INFO	====> Epoch: 1323
2023-02-08 16:30:09,232	32k	INFO	====> Epoch: 1324
2023-02-08 16:30:19,607	32k	INFO	====> Epoch: 1325
2023-02-08 16:30:23,663	32k	INFO	Train Epoch: 1326 [0%]
2023-02-08 16:30:23,664	32k	INFO	[2.279069423675537, 2.732950210571289, 11.593750953674316, 15.250411033630371, 0.8120765089988708, 10600, 8.473551638661902e-05]
2023-02-08 16:30:30,367	32k	INFO	====> Epoch: 1326
2023-02-08 16:30:40,769	32k	INFO	====> Epoch: 1327
2023-02-08 16:30:51,214	32k	INFO	====> Epoch: 1328
2023-02-08 16:31:01,582	32k	INFO	====> Epoch: 1329
2023-02-08 16:31:12,041	32k	INFO	====> Epoch: 1330
2023-02-08 16:31:22,411	32k	INFO	====> Epoch: 1331
2023-02-08 16:31:32,871	32k	INFO	====> Epoch: 1332
2023-02-08 16:31:43,291	32k	INFO	====> Epoch: 1333
2023-02-08 16:31:53,777	32k	INFO	====> Epoch: 1334
2023-02-08 16:32:04,189	32k	INFO	====> Epoch: 1335
2023-02-08 16:32:14,645	32k	INFO	====> Epoch: 1336
2023-02-08 16:32:25,034	32k	INFO	====> Epoch: 1337
2023-02-08 16:32:35,478	32k	INFO	====> Epoch: 1338
2023-02-08 16:32:45,879	32k	INFO	====> Epoch: 1339
2023-02-08 16:32:56,381	32k	INFO	====> Epoch: 1340
2023-02-08 16:33:06,835	32k	INFO	====> Epoch: 1341
2023-02-08 16:33:17,257	32k	INFO	====> Epoch: 1342
2023-02-08 16:33:27,688	32k	INFO	====> Epoch: 1343
2023-02-08 16:33:38,137	32k	INFO	====> Epoch: 1344
2023-02-08 16:33:48,549	32k	INFO	====> Epoch: 1345
2023-02-08 16:33:58,999	32k	INFO	====> Epoch: 1346
2023-02-08 16:34:09,440	32k	INFO	====> Epoch: 1347
2023-02-08 16:34:19,860	32k	INFO	====> Epoch: 1348
2023-02-08 16:34:30,282	32k	INFO	====> Epoch: 1349
2023-02-08 16:34:40,679	32k	INFO	====> Epoch: 1350
2023-02-08 16:34:44,685	32k	INFO	Train Epoch: 1351 [0%]
2023-02-08 16:34:44,685	32k	INFO	[2.4853830337524414, 2.392038583755493, 8.384645462036133, 10.488012313842773, 0.5393437147140503, 10800, 8.447111471525754e-05]
2023-02-08 16:34:51,403	32k	INFO	====> Epoch: 1351
2023-02-08 16:35:01,789	32k	INFO	====> Epoch: 1352
2023-02-08 16:35:12,246	32k	INFO	====> Epoch: 1353
2023-02-08 16:35:22,644	32k	INFO	====> Epoch: 1354
2023-02-08 16:35:33,068	32k	INFO	====> Epoch: 1355
2023-02-08 16:35:43,489	32k	INFO	====> Epoch: 1356
2023-02-08 16:35:53,906	32k	INFO	====> Epoch: 1357
2023-02-08 16:36:04,323	32k	INFO	====> Epoch: 1358
2023-02-08 16:36:14,786	32k	INFO	====> Epoch: 1359
2023-02-08 16:36:25,252	32k	INFO	====> Epoch: 1360
2023-02-08 16:36:35,724	32k	INFO	====> Epoch: 1361
2023-02-08 16:36:46,149	32k	INFO	====> Epoch: 1362
2023-02-08 16:36:56,550	32k	INFO	====> Epoch: 1363
2023-02-08 16:37:06,975	32k	INFO	====> Epoch: 1364
2023-02-08 16:37:17,420	32k	INFO	====> Epoch: 1365
2023-02-08 16:37:27,851	32k	INFO	====> Epoch: 1366
2023-02-08 16:37:38,307	32k	INFO	====> Epoch: 1367
2023-02-08 16:37:48,701	32k	INFO	====> Epoch: 1368
2023-02-08 16:37:59,102	32k	INFO	====> Epoch: 1369
2023-02-08 16:38:09,533	32k	INFO	====> Epoch: 1370
2023-02-08 16:38:19,941	32k	INFO	====> Epoch: 1371
2023-02-08 16:38:30,413	32k	INFO	====> Epoch: 1372
2023-02-08 16:38:40,776	32k	INFO	====> Epoch: 1373
2023-02-08 16:38:51,203	32k	INFO	====> Epoch: 1374
2023-02-08 16:39:01,613	32k	INFO	====> Epoch: 1375
2023-02-08 16:39:05,609	32k	INFO	Train Epoch: 1376 [0%]
2023-02-08 16:39:05,609	32k	INFO	[2.623612642288208, 2.4943885803222656, 7.831017971038818, 14.513734817504883, 0.604363739490509, 11000, 8.420753806092313e-05]
2023-02-08 16:39:10,304	32k	INFO	Saving model and optimizer state at iteration 1376 to ./logs\32k\G_11000.pth
2023-02-08 16:39:27,043	32k	INFO	Saving model and optimizer state at iteration 1376 to ./logs\32k\D_11000.pth
2023-02-08 16:39:37,103	32k	INFO	====> Epoch: 1376
2023-02-08 16:39:47,527	32k	INFO	====> Epoch: 1377
2023-02-08 16:39:57,942	32k	INFO	====> Epoch: 1378
2023-02-08 16:40:08,357	32k	INFO	====> Epoch: 1379
2023-02-08 16:40:18,775	32k	INFO	====> Epoch: 1380
2023-02-08 16:40:29,167	32k	INFO	====> Epoch: 1381
2023-02-08 16:40:39,626	32k	INFO	====> Epoch: 1382
2023-02-08 16:40:50,059	32k	INFO	====> Epoch: 1383
2023-02-08 16:41:00,513	32k	INFO	====> Epoch: 1384
2023-02-08 16:41:10,920	32k	INFO	====> Epoch: 1385
2023-02-08 16:41:21,335	32k	INFO	====> Epoch: 1386
2023-02-08 16:41:31,760	32k	INFO	====> Epoch: 1387
2023-02-08 16:41:42,155	32k	INFO	====> Epoch: 1388
2023-02-08 16:41:52,579	32k	INFO	====> Epoch: 1389
2023-02-08 16:42:03,032	32k	INFO	====> Epoch: 1390
2023-02-08 16:42:13,429	32k	INFO	====> Epoch: 1391
2023-02-08 16:42:23,844	32k	INFO	====> Epoch: 1392
2023-02-08 16:42:34,250	32k	INFO	====> Epoch: 1393
2023-02-08 16:42:44,633	32k	INFO	====> Epoch: 1394
2023-02-08 16:42:55,084	32k	INFO	====> Epoch: 1395
2023-02-08 16:43:05,491	32k	INFO	====> Epoch: 1396
2023-02-08 16:43:15,920	32k	INFO	====> Epoch: 1397
2023-02-08 16:43:26,321	32k	INFO	====> Epoch: 1398
2023-02-08 16:43:36,757	32k	INFO	====> Epoch: 1399
2023-02-08 16:43:47,183	32k	INFO	====> Epoch: 1400
2023-02-08 16:43:51,188	32k	INFO	Train Epoch: 1401 [0%]
2023-02-08 16:43:51,189	32k	INFO	[2.3182711601257324, 2.3862643241882324, 8.307943344116211, 13.454907417297363, 0.7524759769439697, 11200, 8.394478384930123e-05]
2023-02-08 16:43:57,908	32k	INFO	====> Epoch: 1401
2023-02-08 16:44:08,349	32k	INFO	====> Epoch: 1402
2023-02-08 16:44:18,749	32k	INFO	====> Epoch: 1403
2023-02-08 16:44:29,145	32k	INFO	====> Epoch: 1404
2023-02-08 16:44:39,555	32k	INFO	====> Epoch: 1405
2023-02-08 16:44:49,955	32k	INFO	====> Epoch: 1406
2023-02-08 16:45:00,385	32k	INFO	====> Epoch: 1407
2023-02-08 16:45:10,862	32k	INFO	====> Epoch: 1408
2023-02-08 16:45:21,284	32k	INFO	====> Epoch: 1409
2023-02-08 16:45:31,696	32k	INFO	====> Epoch: 1410
2023-02-08 16:45:42,110	32k	INFO	====> Epoch: 1411
2023-02-08 16:45:52,488	32k	INFO	====> Epoch: 1412
2023-02-08 16:46:02,875	32k	INFO	====> Epoch: 1413
2023-02-08 16:46:13,329	32k	INFO	====> Epoch: 1414
2023-02-08 16:46:23,759	32k	INFO	====> Epoch: 1415
2023-02-08 16:46:34,186	32k	INFO	====> Epoch: 1416
2023-02-08 16:46:44,612	32k	INFO	====> Epoch: 1417
2023-02-08 16:46:55,009	32k	INFO	====> Epoch: 1418
2023-02-08 16:47:05,433	32k	INFO	====> Epoch: 1419
2023-02-08 16:47:15,845	32k	INFO	====> Epoch: 1420
2023-02-08 16:47:26,265	32k	INFO	====> Epoch: 1421
2023-02-08 16:47:36,687	32k	INFO	====> Epoch: 1422
2023-02-08 16:47:47,082	32k	INFO	====> Epoch: 1423
2023-02-08 16:47:57,487	32k	INFO	====> Epoch: 1424
2023-02-08 16:48:07,932	32k	INFO	====> Epoch: 1425
2023-02-08 16:48:11,941	32k	INFO	Train Epoch: 1426 [0%]
2023-02-08 16:48:11,941	32k	INFO	[2.4146392345428467, 2.3673696517944336, 10.277627944946289, 14.560678482055664, 0.53379887342453, 11400, 8.36828495141098e-05]
2023-02-08 16:48:18,732	32k	INFO	====> Epoch: 1426
2023-02-08 16:48:29,129	32k	INFO	====> Epoch: 1427
2023-02-08 16:48:39,538	32k	INFO	====> Epoch: 1428
2023-02-08 16:48:49,962	32k	INFO	====> Epoch: 1429
2023-02-08 16:49:00,377	32k	INFO	====> Epoch: 1430
2023-02-08 16:49:10,752	32k	INFO	====> Epoch: 1431
2023-02-08 16:49:21,167	32k	INFO	====> Epoch: 1432
2023-02-08 16:49:31,614	32k	INFO	====> Epoch: 1433
2023-02-08 16:49:42,069	32k	INFO	====> Epoch: 1434
2023-02-08 16:49:52,432	32k	INFO	====> Epoch: 1435
2023-02-08 16:50:02,862	32k	INFO	====> Epoch: 1436
2023-02-08 16:50:13,293	32k	INFO	====> Epoch: 1437
2023-02-08 16:50:23,744	32k	INFO	====> Epoch: 1438
2023-02-08 16:50:34,123	32k	INFO	====> Epoch: 1439
2023-02-08 16:50:44,546	32k	INFO	====> Epoch: 1440
2023-02-08 16:50:54,964	32k	INFO	====> Epoch: 1441
2023-02-08 16:51:05,387	32k	INFO	====> Epoch: 1442
2023-02-08 16:51:15,802	32k	INFO	====> Epoch: 1443
2023-02-08 16:51:26,233	32k	INFO	====> Epoch: 1444
2023-02-08 16:51:36,669	32k	INFO	====> Epoch: 1445
2023-02-08 16:51:47,109	32k	INFO	====> Epoch: 1446
2023-02-08 16:51:57,519	32k	INFO	====> Epoch: 1447
2023-02-08 16:52:07,965	32k	INFO	====> Epoch: 1448
2023-02-08 16:52:18,372	32k	INFO	====> Epoch: 1449
2023-02-08 16:52:28,789	32k	INFO	====> Epoch: 1450
2023-02-08 16:52:32,812	32k	INFO	Train Epoch: 1451 [0%]
2023-02-08 16:52:32,813	32k	INFO	[2.4204485416412354, 2.5131804943084717, 12.375308990478516, 16.414302825927734, 0.5219253301620483, 11600, 8.342173249707448e-05]
2023-02-08 16:52:39,530	32k	INFO	====> Epoch: 1451
2023-02-08 16:52:49,952	32k	INFO	====> Epoch: 1452
2023-02-08 16:53:00,384	32k	INFO	====> Epoch: 1453
2023-02-08 16:53:10,827	32k	INFO	====> Epoch: 1454
2023-02-08 16:53:21,290	32k	INFO	====> Epoch: 1455
2023-02-08 16:53:31,710	32k	INFO	====> Epoch: 1456
2023-02-08 16:53:42,136	32k	INFO	====> Epoch: 1457
2023-02-08 16:53:52,530	32k	INFO	====> Epoch: 1458
2023-02-08 16:54:02,984	32k	INFO	====> Epoch: 1459
2023-02-08 16:54:13,433	32k	INFO	====> Epoch: 1460
2023-02-08 16:54:23,901	32k	INFO	====> Epoch: 1461
2023-02-08 16:54:34,287	32k	INFO	====> Epoch: 1462
2023-02-08 16:54:44,691	32k	INFO	====> Epoch: 1463
2023-02-08 16:54:55,112	32k	INFO	====> Epoch: 1464
2023-02-08 16:55:05,533	32k	INFO	====> Epoch: 1465
2023-02-08 16:55:15,956	32k	INFO	====> Epoch: 1466
2023-02-08 16:55:26,398	32k	INFO	====> Epoch: 1467
2023-02-08 16:55:36,792	32k	INFO	====> Epoch: 1468
2023-02-08 16:55:47,207	32k	INFO	====> Epoch: 1469
2023-02-08 16:55:57,618	32k	INFO	====> Epoch: 1470
2023-02-08 16:56:08,086	32k	INFO	====> Epoch: 1471
2023-02-08 16:56:18,499	32k	INFO	====> Epoch: 1472
2023-02-08 16:56:29,028	32k	INFO	====> Epoch: 1473
2023-02-08 16:56:39,450	32k	INFO	====> Epoch: 1474
2023-02-08 16:56:49,865	32k	INFO	====> Epoch: 1475
2023-02-08 16:56:53,890	32k	INFO	Train Epoch: 1476 [0%]
2023-02-08 16:56:53,890	32k	INFO	[2.709693670272827, 2.065845489501953, 7.790358543395996, 12.583465576171875, 0.47724711894989014, 11800, 8.316143024790356e-05]
2023-02-08 16:57:00,602	32k	INFO	====> Epoch: 1476
2023-02-08 16:57:11,072	32k	INFO	====> Epoch: 1477
2023-02-08 16:57:21,491	32k	INFO	====> Epoch: 1478
2023-02-08 16:57:31,911	32k	INFO	====> Epoch: 1479
2023-02-08 16:57:42,387	32k	INFO	====> Epoch: 1480
2023-02-08 16:57:52,783	32k	INFO	====> Epoch: 1481
2023-02-08 16:58:03,163	32k	INFO	====> Epoch: 1482
2023-02-08 16:58:13,588	32k	INFO	====> Epoch: 1483
2023-02-08 16:58:24,094	32k	INFO	====> Epoch: 1484
2023-02-08 16:58:34,516	32k	INFO	====> Epoch: 1485
2023-02-08 16:58:44,993	32k	INFO	====> Epoch: 1486
2023-02-08 16:58:55,410	32k	INFO	====> Epoch: 1487
2023-02-08 16:59:05,823	32k	INFO	====> Epoch: 1488
2023-02-08 16:59:16,224	32k	INFO	====> Epoch: 1489
2023-02-08 16:59:26,662	32k	INFO	====> Epoch: 1490
2023-02-08 16:59:37,102	32k	INFO	====> Epoch: 1491
2023-02-08 16:59:47,535	32k	INFO	====> Epoch: 1492
2023-02-08 16:59:57,953	32k	INFO	====> Epoch: 1493
2023-02-08 17:00:08,363	32k	INFO	====> Epoch: 1494
2023-02-08 17:00:18,773	32k	INFO	====> Epoch: 1495
2023-02-08 17:00:29,185	32k	INFO	====> Epoch: 1496
2023-02-08 17:00:39,633	32k	INFO	====> Epoch: 1497
2023-02-08 17:00:50,016	32k	INFO	====> Epoch: 1498
2023-02-08 17:01:00,455	32k	INFO	====> Epoch: 1499
2023-02-08 17:01:10,893	32k	INFO	====> Epoch: 1500
2023-02-08 17:01:14,952	32k	INFO	Train Epoch: 1501 [0%]
2023-02-08 17:01:14,953	32k	INFO	[2.3465468883514404, 2.4408655166625977, 9.202801704406738, 13.893951416015625, 0.32461169362068176, 12000, 8.290194022426301e-05]
2023-02-08 17:01:19,512	32k	INFO	Saving model and optimizer state at iteration 1501 to ./logs\32k\G_12000.pth
2023-02-08 17:01:38,917	32k	INFO	Saving model and optimizer state at iteration 1501 to ./logs\32k\D_12000.pth
2023-02-08 17:01:49,064	32k	INFO	====> Epoch: 1501
2023-02-08 17:01:59,509	32k	INFO	====> Epoch: 1502
2023-02-08 17:02:09,942	32k	INFO	====> Epoch: 1503
2023-02-08 17:02:20,362	32k	INFO	====> Epoch: 1504
2023-02-08 17:02:30,747	32k	INFO	====> Epoch: 1505
2023-02-08 17:02:41,137	32k	INFO	====> Epoch: 1506
2023-02-08 17:02:51,538	32k	INFO	====> Epoch: 1507
2023-02-08 17:03:01,970	32k	INFO	====> Epoch: 1508
2023-02-08 17:03:12,391	32k	INFO	====> Epoch: 1509
2023-02-08 17:03:22,827	32k	INFO	====> Epoch: 1510
2023-02-08 17:03:33,217	32k	INFO	====> Epoch: 1511
2023-02-08 17:03:43,625	32k	INFO	====> Epoch: 1512
2023-02-08 17:03:54,039	32k	INFO	====> Epoch: 1513
2023-02-08 17:04:04,411	32k	INFO	====> Epoch: 1514
2023-02-08 17:04:14,835	32k	INFO	====> Epoch: 1515
2023-02-08 17:04:25,265	32k	INFO	====> Epoch: 1516
2023-02-08 17:04:35,672	32k	INFO	====> Epoch: 1517
2023-02-08 17:04:46,087	32k	INFO	====> Epoch: 1518
2023-02-08 17:04:56,526	32k	INFO	====> Epoch: 1519
2023-02-08 17:05:06,971	32k	INFO	====> Epoch: 1520
2023-02-08 17:05:17,389	32k	INFO	====> Epoch: 1521
2023-02-08 17:05:27,780	32k	INFO	====> Epoch: 1522
2023-02-08 17:05:38,351	32k	INFO	====> Epoch: 1523
2023-02-08 17:05:48,748	32k	INFO	====> Epoch: 1524
2023-02-08 17:05:59,159	32k	INFO	====> Epoch: 1525
2023-02-08 17:06:03,162	32k	INFO	Train Epoch: 1526 [0%]
2023-02-08 17:06:03,163	32k	INFO	[2.583725690841675, 2.2134652137756348, 7.811558723449707, 11.685257911682129, 0.38827767968177795, 12200, 8.26432598917517e-05]
2023-02-08 17:06:09,979	32k	INFO	====> Epoch: 1526
2023-02-08 17:06:20,414	32k	INFO	====> Epoch: 1527
2023-02-08 17:06:30,868	32k	INFO	====> Epoch: 1528
2023-02-08 17:06:41,319	32k	INFO	====> Epoch: 1529
2023-02-08 17:06:51,783	32k	INFO	====> Epoch: 1530
2023-02-08 17:07:02,165	32k	INFO	====> Epoch: 1531
2023-02-08 17:07:12,595	32k	INFO	====> Epoch: 1532
2023-02-08 17:07:23,043	32k	INFO	====> Epoch: 1533
2023-02-08 17:07:33,451	32k	INFO	====> Epoch: 1534
2023-02-08 17:07:43,825	32k	INFO	====> Epoch: 1535
2023-02-08 17:07:54,255	32k	INFO	====> Epoch: 1536
2023-02-08 17:08:04,673	32k	INFO	====> Epoch: 1537
2023-02-08 17:08:15,114	32k	INFO	====> Epoch: 1538
2023-02-08 17:08:25,502	32k	INFO	====> Epoch: 1539
2023-02-08 17:08:35,928	32k	INFO	====> Epoch: 1540
2023-02-08 17:08:46,333	32k	INFO	====> Epoch: 1541
2023-02-08 17:08:56,777	32k	INFO	====> Epoch: 1542
2023-02-08 17:09:07,233	32k	INFO	====> Epoch: 1543
2023-02-08 17:09:17,720	32k	INFO	====> Epoch: 1544
2023-02-08 17:09:28,115	32k	INFO	====> Epoch: 1545
2023-02-08 17:09:38,558	32k	INFO	====> Epoch: 1546
2023-02-08 17:09:48,989	32k	INFO	====> Epoch: 1547
2023-02-08 17:09:59,447	32k	INFO	====> Epoch: 1548
2023-02-08 17:10:09,916	32k	INFO	====> Epoch: 1549
2023-02-08 17:10:20,324	32k	INFO	====> Epoch: 1550
2023-02-08 17:10:24,295	32k	INFO	Train Epoch: 1551 [0%]
2023-02-08 17:10:24,295	32k	INFO	[2.4483349323272705, 2.232480525970459, 9.681007385253906, 13.105173110961914, 0.6253581643104553, 12400, 8.23853867238767e-05]
2023-02-08 17:10:31,012	32k	INFO	====> Epoch: 1551
2023-02-08 17:10:41,465	32k	INFO	====> Epoch: 1552
2023-02-08 17:10:51,855	32k	INFO	====> Epoch: 1553
2023-02-08 17:11:02,294	32k	INFO	====> Epoch: 1554
2023-02-08 17:11:12,679	32k	INFO	====> Epoch: 1555
2023-02-08 17:11:23,094	32k	INFO	====> Epoch: 1556
2023-02-08 17:11:33,548	32k	INFO	====> Epoch: 1557
2023-02-08 17:11:43,986	32k	INFO	====> Epoch: 1558
2023-02-08 17:11:54,388	32k	INFO	====> Epoch: 1559
2023-02-08 17:12:04,841	32k	INFO	====> Epoch: 1560
2023-02-08 17:12:15,262	32k	INFO	====> Epoch: 1561
2023-02-08 17:12:25,696	32k	INFO	====> Epoch: 1562
2023-02-08 17:12:36,202	32k	INFO	====> Epoch: 1563
2023-02-08 17:12:46,635	32k	INFO	====> Epoch: 1564
2023-02-08 17:12:57,046	32k	INFO	====> Epoch: 1565
2023-02-08 17:13:07,462	32k	INFO	====> Epoch: 1566
2023-02-08 17:13:17,938	32k	INFO	====> Epoch: 1567
2023-02-08 17:13:28,422	32k	INFO	====> Epoch: 1568
2023-02-08 17:13:38,853	32k	INFO	====> Epoch: 1569
2023-02-08 17:13:49,300	32k	INFO	====> Epoch: 1570
2023-02-08 17:13:59,726	32k	INFO	====> Epoch: 1571
2023-02-08 17:14:10,151	32k	INFO	====> Epoch: 1572
2023-02-08 17:14:20,554	32k	INFO	====> Epoch: 1573
2023-02-08 17:14:30,988	32k	INFO	====> Epoch: 1574
2023-02-08 17:14:41,447	32k	INFO	====> Epoch: 1575
2023-02-08 17:14:45,463	32k	INFO	Train Epoch: 1576 [0%]
2023-02-08 17:14:45,463	32k	INFO	[2.30476450920105, 2.6891698837280273, 9.164913177490234, 14.112665176391602, 0.2886998951435089, 12600, 8.212831820202844e-05]
2023-02-08 17:14:52,184	32k	INFO	====> Epoch: 1576
2023-02-08 17:15:02,621	32k	INFO	====> Epoch: 1577
2023-02-08 17:15:13,010	32k	INFO	====> Epoch: 1578
2023-02-08 17:15:23,402	32k	INFO	====> Epoch: 1579
2023-02-08 17:15:33,848	32k	INFO	====> Epoch: 1580
2023-02-08 17:15:44,274	32k	INFO	====> Epoch: 1581
2023-02-08 17:15:54,744	32k	INFO	====> Epoch: 1582
2023-02-08 17:16:05,170	32k	INFO	====> Epoch: 1583
2023-02-08 17:16:15,625	32k	INFO	====> Epoch: 1584
2023-02-08 17:16:26,021	32k	INFO	====> Epoch: 1585
2023-02-08 17:16:36,427	32k	INFO	====> Epoch: 1586
2023-02-08 17:16:46,861	32k	INFO	====> Epoch: 1587
2023-02-08 17:16:57,311	32k	INFO	====> Epoch: 1588
2023-02-08 17:17:07,785	32k	INFO	====> Epoch: 1589
2023-02-08 17:17:18,180	32k	INFO	====> Epoch: 1590
2023-02-08 17:17:28,567	32k	INFO	====> Epoch: 1591
2023-02-08 17:17:38,994	32k	INFO	====> Epoch: 1592
2023-02-08 17:17:49,368	32k	INFO	====> Epoch: 1593
2023-02-08 17:17:59,833	32k	INFO	====> Epoch: 1594
2023-02-08 17:18:10,271	32k	INFO	====> Epoch: 1595
2023-02-08 17:18:20,697	32k	INFO	====> Epoch: 1596
2023-02-08 17:18:31,139	32k	INFO	====> Epoch: 1597
2023-02-08 17:18:41,590	32k	INFO	====> Epoch: 1598
2023-02-08 17:18:51,972	32k	INFO	====> Epoch: 1599
2023-02-08 17:19:02,463	32k	INFO	====> Epoch: 1600
2023-02-08 17:19:06,481	32k	INFO	Train Epoch: 1601 [0%]
2023-02-08 17:19:06,482	32k	INFO	[2.4883780479431152, 2.5529897212982178, 6.1405229568481445, 13.299844741821289, 0.49223724007606506, 12800, 8.18720518154563e-05]
2023-02-08 17:19:13,203	32k	INFO	====> Epoch: 1601
2023-02-08 17:19:23,648	32k	INFO	====> Epoch: 1602
2023-02-08 17:19:34,053	32k	INFO	====> Epoch: 1603
2023-02-08 17:19:44,457	32k	INFO	====> Epoch: 1604
2023-02-08 17:19:54,854	32k	INFO	====> Epoch: 1605
2023-02-08 17:20:05,301	32k	INFO	====> Epoch: 1606
2023-02-08 17:20:15,773	32k	INFO	====> Epoch: 1607
2023-02-08 17:20:26,215	32k	INFO	====> Epoch: 1608
2023-02-08 17:20:36,601	32k	INFO	====> Epoch: 1609
2023-02-08 17:20:47,005	32k	INFO	====> Epoch: 1610
2023-02-08 17:20:57,430	32k	INFO	====> Epoch: 1611
2023-02-08 17:21:07,875	32k	INFO	====> Epoch: 1612
2023-02-08 17:21:18,315	32k	INFO	====> Epoch: 1613
2023-02-08 17:21:28,753	32k	INFO	====> Epoch: 1614
2023-02-08 17:21:39,163	32k	INFO	====> Epoch: 1615
2023-02-08 17:21:49,562	32k	INFO	====> Epoch: 1616
2023-02-08 17:21:59,995	32k	INFO	====> Epoch: 1617
2023-02-08 17:22:10,388	32k	INFO	====> Epoch: 1618
2023-02-08 17:22:20,837	32k	INFO	====> Epoch: 1619
2023-02-08 17:22:31,318	32k	INFO	====> Epoch: 1620
2023-02-08 17:22:41,742	32k	INFO	====> Epoch: 1621
2023-02-08 17:22:52,142	32k	INFO	====> Epoch: 1622
2023-02-08 17:23:02,559	32k	INFO	====> Epoch: 1623
2023-02-08 17:23:12,958	32k	INFO	====> Epoch: 1624
2023-02-08 17:23:23,361	32k	INFO	====> Epoch: 1625
2023-02-08 17:23:27,409	32k	INFO	Train Epoch: 1626 [0%]
2023-02-08 17:23:27,410	32k	INFO	[2.5925791263580322, 2.1920344829559326, 9.848013877868652, 13.011409759521484, 0.8710694909095764, 13000, 8.161658506124393e-05]
2023-02-08 17:23:32,005	32k	INFO	Saving model and optimizer state at iteration 1626 to ./logs\32k\G_13000.pth
2023-02-08 17:23:50,827	32k	INFO	Saving model and optimizer state at iteration 1626 to ./logs\32k\D_13000.pth
2023-02-08 17:24:01,179	32k	INFO	====> Epoch: 1626
2023-02-08 17:24:11,624	32k	INFO	====> Epoch: 1627
2023-02-08 17:24:22,005	32k	INFO	====> Epoch: 1628
2023-02-08 17:24:32,433	32k	INFO	====> Epoch: 1629
2023-02-08 17:24:42,934	32k	INFO	====> Epoch: 1630
2023-02-08 17:24:53,357	32k	INFO	====> Epoch: 1631
2023-02-08 17:25:03,802	32k	INFO	====> Epoch: 1632
2023-02-08 17:25:14,198	32k	INFO	====> Epoch: 1633
2023-02-08 17:25:24,573	32k	INFO	====> Epoch: 1634
2023-02-08 17:25:34,993	32k	INFO	====> Epoch: 1635
2023-02-08 17:25:45,372	32k	INFO	====> Epoch: 1636
2023-02-08 17:25:55,776	32k	INFO	====> Epoch: 1637
2023-02-08 17:26:06,171	32k	INFO	====> Epoch: 1638
2023-02-08 17:26:16,568	32k	INFO	====> Epoch: 1639
2023-02-08 17:26:27,019	32k	INFO	====> Epoch: 1640
2023-02-08 17:26:37,422	32k	INFO	====> Epoch: 1641
2023-02-08 17:26:47,853	32k	INFO	====> Epoch: 1642
2023-02-08 17:26:58,266	32k	INFO	====> Epoch: 1643
2023-02-08 17:27:08,726	32k	INFO	====> Epoch: 1644
2023-02-08 17:27:19,139	32k	INFO	====> Epoch: 1645
2023-02-08 17:27:29,556	32k	INFO	====> Epoch: 1646
2023-02-08 17:27:40,000	32k	INFO	====> Epoch: 1647
2023-02-08 17:27:50,424	32k	INFO	====> Epoch: 1648
2023-02-08 17:28:00,851	32k	INFO	====> Epoch: 1649
2023-02-08 17:28:11,307	32k	INFO	====> Epoch: 1650
2023-02-08 17:28:15,309	32k	INFO	Train Epoch: 1651 [0%]
2023-02-08 17:28:15,309	32k	INFO	[2.3965935707092285, 2.786179780960083, 11.66501522064209, 16.765024185180664, 0.5547571182250977, 13200, 8.136191544428485e-05]
2023-02-08 17:28:22,020	32k	INFO	====> Epoch: 1651
2023-02-08 17:28:32,453	32k	INFO	====> Epoch: 1652
2023-02-08 17:28:42,848	32k	INFO	====> Epoch: 1653
2023-02-08 17:28:53,238	32k	INFO	====> Epoch: 1654
2023-02-08 17:29:03,645	32k	INFO	====> Epoch: 1655
2023-02-08 17:29:14,091	32k	INFO	====> Epoch: 1656
2023-02-08 17:29:24,489	32k	INFO	====> Epoch: 1657
2023-02-08 17:29:34,887	32k	INFO	====> Epoch: 1658
2023-02-08 17:29:45,307	32k	INFO	====> Epoch: 1659
2023-02-08 17:29:55,699	32k	INFO	====> Epoch: 1660
2023-02-08 17:30:06,145	32k	INFO	====> Epoch: 1661
2023-02-08 17:30:16,556	32k	INFO	====> Epoch: 1662
2023-02-08 17:30:26,994	32k	INFO	====> Epoch: 1663
2023-02-08 17:30:37,405	32k	INFO	====> Epoch: 1664
2023-02-08 17:30:47,800	32k	INFO	====> Epoch: 1665
2023-02-08 17:30:58,179	32k	INFO	====> Epoch: 1666
2023-02-08 17:31:08,578	32k	INFO	====> Epoch: 1667
2023-02-08 17:31:19,003	32k	INFO	====> Epoch: 1668
2023-02-08 17:31:29,429	32k	INFO	====> Epoch: 1669
2023-02-08 17:31:39,837	32k	INFO	====> Epoch: 1670
2023-02-08 17:31:50,280	32k	INFO	====> Epoch: 1671
2023-02-08 17:32:00,739	32k	INFO	====> Epoch: 1672
2023-02-08 17:32:11,156	32k	INFO	====> Epoch: 1673
2023-02-08 17:32:21,602	32k	INFO	====> Epoch: 1674
2023-02-08 17:32:32,031	32k	INFO	====> Epoch: 1675
2023-02-08 17:32:36,027	32k	INFO	Train Epoch: 1676 [0%]
2023-02-08 17:32:36,027	32k	INFO	[2.2897698879241943, 2.6848490238189697, 8.164680480957031, 10.1484956741333, 0.5282561182975769, 13400, 8.11080404772582e-05]
2023-02-08 17:32:42,732	32k	INFO	====> Epoch: 1676
2023-02-08 17:32:53,150	32k	INFO	====> Epoch: 1677
2023-02-08 17:33:03,561	32k	INFO	====> Epoch: 1678
2023-02-08 17:33:13,983	32k	INFO	====> Epoch: 1679
2023-02-08 17:33:24,373	32k	INFO	====> Epoch: 1680
2023-02-08 17:33:34,781	32k	INFO	====> Epoch: 1681
2023-02-08 17:33:45,202	32k	INFO	====> Epoch: 1682
2023-02-08 17:33:55,652	32k	INFO	====> Epoch: 1683
2023-02-08 17:34:06,044	32k	INFO	====> Epoch: 1684
2023-02-08 17:34:16,456	32k	INFO	====> Epoch: 1685
2023-02-08 17:34:26,887	32k	INFO	====> Epoch: 1686
2023-02-08 17:34:37,416	32k	INFO	====> Epoch: 1687
2023-02-08 17:34:47,842	32k	INFO	====> Epoch: 1688
2023-02-08 17:34:58,294	32k	INFO	====> Epoch: 1689
2023-02-08 17:35:08,725	32k	INFO	====> Epoch: 1690
2023-02-08 17:35:19,171	32k	INFO	====> Epoch: 1691
2023-02-08 17:35:29,564	32k	INFO	====> Epoch: 1692
2023-02-08 17:35:40,004	32k	INFO	====> Epoch: 1693
2023-02-08 17:35:50,422	32k	INFO	====> Epoch: 1694
2023-02-08 17:36:00,862	32k	INFO	====> Epoch: 1695
2023-02-08 17:36:11,316	32k	INFO	====> Epoch: 1696
2023-02-08 17:36:21,693	32k	INFO	====> Epoch: 1697
2023-02-08 17:36:32,115	32k	INFO	====> Epoch: 1698
2023-02-08 17:36:42,555	32k	INFO	====> Epoch: 1699
2023-02-08 17:36:52,985	32k	INFO	====> Epoch: 1700
2023-02-08 17:36:56,977	32k	INFO	Train Epoch: 1701 [0%]
2023-02-08 17:36:56,978	32k	INFO	[2.9208247661590576, 2.0288145542144775, 5.292386531829834, 8.651179313659668, 0.9035779237747192, 13600, 8.085495768060427e-05]
2023-02-08 17:37:03,685	32k	INFO	====> Epoch: 1701
2023-02-08 17:37:14,115	32k	INFO	====> Epoch: 1702
2023-02-08 17:37:24,514	32k	INFO	====> Epoch: 1703
2023-02-08 17:37:34,899	32k	INFO	====> Epoch: 1704
2023-02-08 17:37:45,333	32k	INFO	====> Epoch: 1705
2023-02-08 17:37:55,756	32k	INFO	====> Epoch: 1706
2023-02-08 17:38:06,161	32k	INFO	====> Epoch: 1707
2023-02-08 17:38:16,594	32k	INFO	====> Epoch: 1708
2023-02-08 17:38:27,015	32k	INFO	====> Epoch: 1709
2023-02-08 17:38:37,434	32k	INFO	====> Epoch: 1710
2023-02-08 17:38:47,844	32k	INFO	====> Epoch: 1711
2023-02-08 17:38:58,255	32k	INFO	====> Epoch: 1712
2023-02-08 17:39:08,671	32k	INFO	====> Epoch: 1713
2023-02-08 17:39:19,100	32k	INFO	====> Epoch: 1714
2023-02-08 17:39:29,575	32k	INFO	====> Epoch: 1715
2023-02-08 17:39:39,981	32k	INFO	====> Epoch: 1716
2023-02-08 17:39:50,415	32k	INFO	====> Epoch: 1717
2023-02-08 17:40:00,844	32k	INFO	====> Epoch: 1718
2023-02-08 17:40:11,310	32k	INFO	====> Epoch: 1719
2023-02-08 17:40:21,702	32k	INFO	====> Epoch: 1720
2023-02-08 17:40:32,126	32k	INFO	====> Epoch: 1721
2023-02-08 17:40:42,534	32k	INFO	====> Epoch: 1722
2023-02-08 17:40:52,989	32k	INFO	====> Epoch: 1723
2023-02-08 17:41:03,405	32k	INFO	====> Epoch: 1724
2023-02-08 17:41:13,812	32k	INFO	====> Epoch: 1725
2023-02-08 17:41:17,815	32k	INFO	Train Epoch: 1726 [0%]
2023-02-08 17:41:17,815	32k	INFO	[2.308499813079834, 2.6246237754821777, 10.369264602661133, 12.703060150146484, 0.6321532130241394, 13800, 8.060266458250043e-05]
2023-02-08 17:41:24,539	32k	INFO	====> Epoch: 1726
2023-02-08 17:41:35,008	32k	INFO	====> Epoch: 1727
2023-02-08 17:41:45,475	32k	INFO	====> Epoch: 1728
2023-02-08 17:41:55,877	32k	INFO	====> Epoch: 1729
2023-02-08 17:42:06,306	32k	INFO	====> Epoch: 1730
2023-02-08 17:42:16,750	32k	INFO	====> Epoch: 1731
2023-02-08 17:42:27,157	32k	INFO	====> Epoch: 1732
2023-02-08 17:42:37,577	32k	INFO	====> Epoch: 1733
2023-02-08 17:42:48,062	32k	INFO	====> Epoch: 1734
2023-02-08 17:42:58,437	32k	INFO	====> Epoch: 1735
2023-02-08 17:43:08,860	32k	INFO	====> Epoch: 1736
2023-02-08 17:43:19,293	32k	INFO	====> Epoch: 1737
2023-02-08 17:43:29,723	32k	INFO	====> Epoch: 1738
2023-02-08 17:43:40,135	32k	INFO	====> Epoch: 1739
2023-02-08 17:43:50,568	32k	INFO	====> Epoch: 1740
2023-02-08 17:44:01,001	32k	INFO	====> Epoch: 1741
2023-02-08 17:44:11,423	32k	INFO	====> Epoch: 1742
2023-02-08 17:44:21,871	32k	INFO	====> Epoch: 1743
2023-02-08 17:44:32,313	32k	INFO	====> Epoch: 1744
2023-02-08 17:44:42,724	32k	INFO	====> Epoch: 1745
2023-02-08 17:44:53,120	32k	INFO	====> Epoch: 1746
2023-02-08 17:45:03,533	32k	INFO	====> Epoch: 1747
2023-02-08 17:45:13,992	32k	INFO	====> Epoch: 1748
2023-02-08 17:45:24,450	32k	INFO	====> Epoch: 1749
2023-02-08 17:45:34,891	32k	INFO	====> Epoch: 1750
2023-02-08 17:45:38,912	32k	INFO	Train Epoch: 1751 [0%]
2023-02-08 17:45:38,913	32k	INFO	[2.4618782997131348, 2.543722152709961, 8.293453216552734, 14.642684936523438, 0.2545362710952759, 14000, 8.03511587188368e-05]
2023-02-08 17:45:43,456	32k	INFO	Saving model and optimizer state at iteration 1751 to ./logs\32k\G_14000.pth
2023-02-08 17:46:02,405	32k	INFO	Saving model and optimizer state at iteration 1751 to ./logs\32k\D_14000.pth
2023-02-08 17:46:12,674	32k	INFO	====> Epoch: 1751
2023-02-08 17:46:23,046	32k	INFO	====> Epoch: 1752
2023-02-08 17:46:33,457	32k	INFO	====> Epoch: 1753
2023-02-08 17:46:43,855	32k	INFO	====> Epoch: 1754
2023-02-08 17:46:54,224	32k	INFO	====> Epoch: 1755
2023-02-08 17:47:04,643	32k	INFO	====> Epoch: 1756
2023-02-08 17:47:15,085	32k	INFO	====> Epoch: 1757
2023-02-08 17:47:25,488	32k	INFO	====> Epoch: 1758
2023-02-08 17:47:35,943	32k	INFO	====> Epoch: 1759
2023-02-08 17:47:46,384	32k	INFO	====> Epoch: 1760
2023-02-08 17:47:56,787	32k	INFO	====> Epoch: 1761
2023-02-08 17:48:07,224	32k	INFO	====> Epoch: 1762
2023-02-08 17:48:17,673	32k	INFO	====> Epoch: 1763
2023-02-08 17:48:28,064	32k	INFO	====> Epoch: 1764
2023-02-08 17:48:38,464	32k	INFO	====> Epoch: 1765
2023-02-08 17:48:48,934	32k	INFO	====> Epoch: 1766
2023-02-08 17:48:59,344	32k	INFO	====> Epoch: 1767
2023-02-08 17:49:09,751	32k	INFO	====> Epoch: 1768
2023-02-08 17:49:20,140	32k	INFO	====> Epoch: 1769
2023-02-08 17:49:30,556	32k	INFO	====> Epoch: 1770
2023-02-08 17:49:40,993	32k	INFO	====> Epoch: 1771
2023-02-08 17:49:51,398	32k	INFO	====> Epoch: 1772
2023-02-08 17:50:01,797	32k	INFO	====> Epoch: 1773
2023-02-08 17:50:12,265	32k	INFO	====> Epoch: 1774
2023-02-08 17:50:22,643	32k	INFO	====> Epoch: 1775
2023-02-08 17:50:26,641	32k	INFO	Train Epoch: 1776 [0%]
2023-02-08 17:50:26,641	32k	INFO	[2.492241621017456, 2.4695935249328613, 6.5291428565979, 12.250954627990723, 0.5993318557739258, 14200, 8.010043763319242e-05]
2023-02-08 17:50:33,349	32k	INFO	====> Epoch: 1776
2023-02-08 17:50:43,744	32k	INFO	====> Epoch: 1777
2023-02-08 17:50:54,192	32k	INFO	====> Epoch: 1778
2023-02-08 17:51:04,596	32k	INFO	====> Epoch: 1779
2023-02-08 17:51:15,045	32k	INFO	====> Epoch: 1780
2023-02-08 17:51:25,484	32k	INFO	====> Epoch: 1781
2023-02-08 17:51:35,951	32k	INFO	====> Epoch: 1782
2023-02-08 17:51:46,318	32k	INFO	====> Epoch: 1783
2023-02-08 17:51:56,774	32k	INFO	====> Epoch: 1784
2023-02-08 17:52:07,204	32k	INFO	====> Epoch: 1785
2023-02-08 17:52:17,618	32k	INFO	====> Epoch: 1786
2023-02-08 17:52:28,011	32k	INFO	====> Epoch: 1787
2023-02-08 17:52:38,460	32k	INFO	====> Epoch: 1788
2023-02-08 17:52:48,837	32k	INFO	====> Epoch: 1789
2023-02-08 17:52:59,306	32k	INFO	====> Epoch: 1790
2023-02-08 17:53:09,728	32k	INFO	====> Epoch: 1791
2023-02-08 17:53:20,174	32k	INFO	====> Epoch: 1792
2023-02-08 17:53:30,544	32k	INFO	====> Epoch: 1793
2023-02-08 17:53:41,007	32k	INFO	====> Epoch: 1794
2023-02-08 17:53:51,413	32k	INFO	====> Epoch: 1795
2023-02-08 17:54:01,834	32k	INFO	====> Epoch: 1796
2023-02-08 17:54:12,215	32k	INFO	====> Epoch: 1797
2023-02-08 17:54:22,619	32k	INFO	====> Epoch: 1798
2023-02-08 17:54:33,045	32k	INFO	====> Epoch: 1799
2023-02-08 17:54:43,412	32k	INFO	====> Epoch: 1800
2023-02-08 17:54:47,427	32k	INFO	Train Epoch: 1801 [0%]
2023-02-08 17:54:47,427	32k	INFO	[2.4109907150268555, 2.3649721145629883, 4.807236194610596, 7.659735202789307, 0.31528156995773315, 14400, 7.98504988768111e-05]
2023-02-08 17:54:54,138	32k	INFO	====> Epoch: 1801
2023-02-08 17:55:04,513	32k	INFO	====> Epoch: 1802
2023-02-08 17:55:14,945	32k	INFO	====> Epoch: 1803
2023-02-08 17:55:25,396	32k	INFO	====> Epoch: 1804
2023-02-08 17:55:35,855	32k	INFO	====> Epoch: 1805
2023-02-08 17:55:46,251	32k	INFO	====> Epoch: 1806
2023-02-08 17:55:56,669	32k	INFO	====> Epoch: 1807
2023-02-08 17:56:07,082	32k	INFO	====> Epoch: 1808
2023-02-08 17:56:17,478	32k	INFO	====> Epoch: 1809
2023-02-08 17:56:27,915	32k	INFO	====> Epoch: 1810
2023-02-08 17:56:38,344	32k	INFO	====> Epoch: 1811
2023-02-08 17:56:48,752	32k	INFO	====> Epoch: 1812
2023-02-08 17:56:59,120	32k	INFO	====> Epoch: 1813
2023-02-08 17:57:09,550	32k	INFO	====> Epoch: 1814
2023-02-08 17:57:19,942	32k	INFO	====> Epoch: 1815
2023-02-08 17:57:30,409	32k	INFO	====> Epoch: 1816
2023-02-08 17:57:40,822	32k	INFO	====> Epoch: 1817
2023-02-08 17:57:51,231	32k	INFO	====> Epoch: 1818
2023-02-08 17:58:01,613	32k	INFO	====> Epoch: 1819
2023-02-08 17:58:12,055	32k	INFO	====> Epoch: 1820
2023-02-08 17:58:22,418	32k	INFO	====> Epoch: 1821
2023-02-08 17:58:32,857	32k	INFO	====> Epoch: 1822
2023-02-08 17:58:43,265	32k	INFO	====> Epoch: 1823
2023-02-08 17:58:53,731	32k	INFO	====> Epoch: 1824
2023-02-08 17:59:04,108	32k	INFO	====> Epoch: 1825
2023-02-08 17:59:08,143	32k	INFO	Train Epoch: 1826 [0%]
2023-02-08 17:59:08,144	32k	INFO	[2.5560412406921387, 2.080289840698242, 4.710169792175293, 7.107443332672119, 0.6516140103340149, 14600, 7.96013400085775e-05]
2023-02-08 17:59:14,837	32k	INFO	====> Epoch: 1826
2023-02-08 17:59:25,192	32k	INFO	====> Epoch: 1827
2023-02-08 17:59:35,618	32k	INFO	====> Epoch: 1828
2023-02-08 17:59:46,066	32k	INFO	====> Epoch: 1829
2023-02-08 17:59:56,507	32k	INFO	====> Epoch: 1830
2023-02-08 18:00:06,946	32k	INFO	====> Epoch: 1831
2023-02-08 18:00:17,371	32k	INFO	====> Epoch: 1832
2023-02-08 18:00:27,737	32k	INFO	====> Epoch: 1833
2023-02-08 18:00:38,169	32k	INFO	====> Epoch: 1834
2023-02-08 18:00:48,576	32k	INFO	====> Epoch: 1835
2023-02-08 18:00:58,991	32k	INFO	====> Epoch: 1836
2023-02-08 18:01:09,364	32k	INFO	====> Epoch: 1837
2023-02-08 18:01:19,775	32k	INFO	====> Epoch: 1838
2023-02-08 18:01:30,194	32k	INFO	====> Epoch: 1839
2023-02-08 18:01:40,604	32k	INFO	====> Epoch: 1840
2023-02-08 18:01:51,067	32k	INFO	====> Epoch: 1841
2023-02-08 18:02:01,535	32k	INFO	====> Epoch: 1842
2023-02-08 18:02:11,988	32k	INFO	====> Epoch: 1843
2023-02-08 18:02:22,391	32k	INFO	====> Epoch: 1844
2023-02-08 18:02:32,793	32k	INFO	====> Epoch: 1845
2023-02-08 18:02:43,206	32k	INFO	====> Epoch: 1846
2023-02-08 18:02:53,659	32k	INFO	====> Epoch: 1847
2023-02-08 18:03:04,079	32k	INFO	====> Epoch: 1848
2023-02-08 18:03:14,501	32k	INFO	====> Epoch: 1849
2023-02-08 18:03:24,913	32k	INFO	====> Epoch: 1850
2023-02-08 18:03:28,948	32k	INFO	Train Epoch: 1851 [0%]
2023-02-08 18:03:28,949	32k	INFO	[2.198580265045166, 2.8482003211975098, 16.30674171447754, 16.949073791503906, 0.3044193685054779, 14800, 7.935295859499347e-05]
2023-02-08 18:03:35,760	32k	INFO	====> Epoch: 1851
2023-02-08 18:03:46,177	32k	INFO	====> Epoch: 1852
2023-02-08 18:03:56,595	32k	INFO	====> Epoch: 1853
2023-02-08 18:04:07,030	32k	INFO	====> Epoch: 1854
2023-02-08 18:04:17,443	32k	INFO	====> Epoch: 1855
2023-02-08 18:04:27,859	32k	INFO	====> Epoch: 1856
2023-02-08 18:04:38,331	32k	INFO	====> Epoch: 1857
2023-02-08 18:04:48,767	32k	INFO	====> Epoch: 1858
2023-02-08 18:04:59,148	32k	INFO	====> Epoch: 1859
2023-02-08 18:05:09,586	32k	INFO	====> Epoch: 1860
2023-02-08 18:05:20,037	32k	INFO	====> Epoch: 1861
2023-02-08 18:05:30,507	32k	INFO	====> Epoch: 1862
2023-02-08 18:05:40,900	32k	INFO	====> Epoch: 1863
2023-02-08 18:05:51,330	32k	INFO	====> Epoch: 1864
2023-02-08 18:06:01,718	32k	INFO	====> Epoch: 1865
2023-02-08 18:06:12,133	32k	INFO	====> Epoch: 1866
2023-02-08 18:06:22,566	32k	INFO	====> Epoch: 1867
2023-02-08 18:06:33,018	32k	INFO	====> Epoch: 1868
2023-02-08 18:06:43,402	32k	INFO	====> Epoch: 1869
2023-02-08 18:06:53,847	32k	INFO	====> Epoch: 1870
2023-02-08 18:07:04,239	32k	INFO	====> Epoch: 1871
2023-02-08 18:07:14,669	32k	INFO	====> Epoch: 1872
2023-02-08 18:07:25,069	32k	INFO	====> Epoch: 1873
2023-02-08 18:07:35,542	32k	INFO	====> Epoch: 1874
2023-02-08 18:07:45,981	32k	INFO	====> Epoch: 1875
2023-02-08 18:07:49,991	32k	INFO	Train Epoch: 1876 [0%]
2023-02-08 18:07:49,991	32k	INFO	[2.3810503482818604, 2.635267496109009, 12.54356575012207, 14.357368469238281, 0.6659623980522156, 15000, 7.910535221015404e-05]
2023-02-08 18:07:54,527	32k	INFO	Saving model and optimizer state at iteration 1876 to ./logs\32k\G_15000.pth
2023-02-08 18:08:12,589	32k	INFO	Saving model and optimizer state at iteration 1876 to ./logs\32k\D_15000.pth
2023-02-08 18:08:23,100	32k	INFO	====> Epoch: 1876
2023-02-08 18:08:33,534	32k	INFO	====> Epoch: 1877
2023-02-08 18:08:43,970	32k	INFO	====> Epoch: 1878
2023-02-08 18:08:54,381	32k	INFO	====> Epoch: 1879
2023-02-08 18:09:04,813	32k	INFO	====> Epoch: 1880
2023-02-08 18:09:15,223	32k	INFO	====> Epoch: 1881
2023-02-08 18:09:25,636	32k	INFO	====> Epoch: 1882
2023-02-08 18:09:36,038	32k	INFO	====> Epoch: 1883
2023-02-08 18:09:46,434	32k	INFO	====> Epoch: 1884
2023-02-08 18:09:56,872	32k	INFO	====> Epoch: 1885
2023-02-08 18:10:07,345	32k	INFO	====> Epoch: 1886
2023-02-08 18:10:17,810	32k	INFO	====> Epoch: 1887
2023-02-08 18:10:28,221	32k	INFO	====> Epoch: 1888
2023-02-08 18:10:38,626	32k	INFO	====> Epoch: 1889
2023-02-08 18:10:49,032	32k	INFO	====> Epoch: 1890
2023-02-08 18:10:59,462	32k	INFO	====> Epoch: 1891
2023-02-08 18:11:09,889	32k	INFO	====> Epoch: 1892
2023-02-08 18:11:20,327	32k	INFO	====> Epoch: 1893
2023-02-08 18:11:30,722	32k	INFO	====> Epoch: 1894
2023-02-08 18:11:41,124	32k	INFO	====> Epoch: 1895
2023-02-08 18:11:51,566	32k	INFO	====> Epoch: 1896
2023-02-08 18:12:01,983	32k	INFO	====> Epoch: 1897
2023-02-08 18:12:12,435	32k	INFO	====> Epoch: 1898
2023-02-08 18:12:22,840	32k	INFO	====> Epoch: 1899
2023-02-08 18:12:33,279	32k	INFO	====> Epoch: 1900
2023-02-08 18:12:37,301	32k	INFO	Train Epoch: 1901 [0%]
2023-02-08 18:12:37,302	32k	INFO	[2.3378515243530273, 2.503840446472168, 9.095951080322266, 12.148462295532227, 0.6606624722480774, 15200, 7.88585184357238e-05]
2023-02-08 18:12:44,120	32k	INFO	====> Epoch: 1901
2023-02-08 18:12:54,575	32k	INFO	====> Epoch: 1902
2023-02-08 18:13:04,988	32k	INFO	====> Epoch: 1903
2023-02-08 18:13:15,402	32k	INFO	====> Epoch: 1904
2023-02-08 18:13:25,828	32k	INFO	====> Epoch: 1905
2023-02-08 18:13:36,222	32k	INFO	====> Epoch: 1906
2023-02-08 18:13:46,604	32k	INFO	====> Epoch: 1907
2023-02-08 18:13:57,041	32k	INFO	====> Epoch: 1908
2023-02-08 18:14:07,472	32k	INFO	====> Epoch: 1909
2023-02-08 18:14:17,905	32k	INFO	====> Epoch: 1910
2023-02-08 18:14:28,300	32k	INFO	====> Epoch: 1911
2023-02-08 18:14:38,726	32k	INFO	====> Epoch: 1912
2023-02-08 18:14:49,147	32k	INFO	====> Epoch: 1913
2023-02-08 18:14:59,561	32k	INFO	====> Epoch: 1914
2023-02-08 18:15:10,012	32k	INFO	====> Epoch: 1915
2023-02-08 18:15:20,428	32k	INFO	====> Epoch: 1916
2023-02-08 18:15:30,821	32k	INFO	====> Epoch: 1917
2023-02-08 18:15:41,269	32k	INFO	====> Epoch: 1918
2023-02-08 18:15:51,621	32k	INFO	====> Epoch: 1919
2023-02-08 18:16:02,029	32k	INFO	====> Epoch: 1920
2023-02-08 18:16:12,466	32k	INFO	====> Epoch: 1921
2023-02-08 18:16:22,858	32k	INFO	====> Epoch: 1922
2023-02-08 18:16:33,267	32k	INFO	====> Epoch: 1923
2023-02-08 18:16:43,698	32k	INFO	====> Epoch: 1924
2023-02-08 18:16:54,139	32k	INFO	====> Epoch: 1925
2023-02-08 18:16:58,111	32k	INFO	Train Epoch: 1926 [0%]
2023-02-08 18:16:58,111	32k	INFO	[2.5681159496307373, 2.5006628036499023, 10.149065017700195, 16.919111251831055, 0.7295808792114258, 15400, 7.86124548609134e-05]
2023-02-08 18:17:04,818	32k	INFO	====> Epoch: 1926
2023-02-08 18:17:15,325	32k	INFO	====> Epoch: 1927
2023-02-08 18:17:25,764	32k	INFO	====> Epoch: 1928
2023-02-08 18:17:36,184	32k	INFO	====> Epoch: 1929
2023-02-08 18:17:46,560	32k	INFO	====> Epoch: 1930
2023-02-08 18:17:56,986	32k	INFO	====> Epoch: 1931
2023-02-08 18:18:07,335	32k	INFO	====> Epoch: 1932
2023-02-08 18:18:17,755	32k	INFO	====> Epoch: 1933
2023-02-08 18:18:28,181	32k	INFO	====> Epoch: 1934
2023-02-08 18:18:38,615	32k	INFO	====> Epoch: 1935
2023-02-08 18:18:49,045	32k	INFO	====> Epoch: 1936
2023-02-08 18:18:59,537	32k	INFO	====> Epoch: 1937
2023-02-08 18:19:09,989	32k	INFO	====> Epoch: 1938
2023-02-08 18:19:20,385	32k	INFO	====> Epoch: 1939
2023-02-08 18:19:30,789	32k	INFO	====> Epoch: 1940
2023-02-08 18:19:41,241	32k	INFO	====> Epoch: 1941
2023-02-08 18:19:51,662	32k	INFO	====> Epoch: 1942
2023-02-08 18:20:02,066	32k	INFO	====> Epoch: 1943
2023-02-08 18:20:12,492	32k	INFO	====> Epoch: 1944
2023-02-08 18:20:22,910	32k	INFO	====> Epoch: 1945
2023-02-08 18:20:33,306	32k	INFO	====> Epoch: 1946
2023-02-08 18:20:43,701	32k	INFO	====> Epoch: 1947
2023-02-08 18:20:54,118	32k	INFO	====> Epoch: 1948
2023-02-08 18:21:04,537	32k	INFO	====> Epoch: 1949
2023-02-08 18:21:15,000	32k	INFO	====> Epoch: 1950
2023-02-08 18:21:19,010	32k	INFO	Train Epoch: 1951 [0%]
2023-02-08 18:21:19,010	32k	INFO	[2.734729290008545, 2.076477527618408, 7.0065507888793945, 10.981873512268066, 0.4925270080566406, 15600, 7.836715908245587e-05]
2023-02-08 18:21:25,733	32k	INFO	====> Epoch: 1951
2023-02-08 18:21:36,223	32k	INFO	====> Epoch: 1952
2023-02-08 18:21:46,669	32k	INFO	====> Epoch: 1953
2023-02-08 18:21:57,074	32k	INFO	====> Epoch: 1954
2023-02-08 18:22:07,441	32k	INFO	====> Epoch: 1955
2023-02-08 18:22:17,841	32k	INFO	====> Epoch: 1956
2023-02-08 18:22:28,271	32k	INFO	====> Epoch: 1957
2023-02-08 18:22:38,674	32k	INFO	====> Epoch: 1958
2023-02-08 18:22:49,094	32k	INFO	====> Epoch: 1959
2023-02-08 18:22:59,547	32k	INFO	====> Epoch: 1960
2023-02-08 18:23:09,975	32k	INFO	====> Epoch: 1961
2023-02-08 18:23:20,418	32k	INFO	====> Epoch: 1962
2023-02-08 18:23:30,867	32k	INFO	====> Epoch: 1963
2023-02-08 18:23:41,244	32k	INFO	====> Epoch: 1964
2023-02-08 18:23:51,629	32k	INFO	====> Epoch: 1965
2023-02-08 18:24:02,068	32k	INFO	====> Epoch: 1966
2023-02-08 18:24:12,479	32k	INFO	====> Epoch: 1967
2023-02-08 18:24:22,856	32k	INFO	====> Epoch: 1968
2023-02-08 18:24:33,379	32k	INFO	====> Epoch: 1969
2023-02-08 18:24:43,859	32k	INFO	====> Epoch: 1970
2023-02-08 18:24:54,255	32k	INFO	====> Epoch: 1971
2023-02-08 18:25:04,706	32k	INFO	====> Epoch: 1972
2023-02-08 18:25:15,163	32k	INFO	====> Epoch: 1973
2023-02-08 18:25:25,569	32k	INFO	====> Epoch: 1974
2023-02-08 18:25:35,999	32k	INFO	====> Epoch: 1975
2023-02-08 18:25:40,039	32k	INFO	Train Epoch: 1976 [0%]
2023-02-08 18:25:40,039	32k	INFO	[2.4382243156433105, 2.4055063724517822, 9.696077346801758, 13.437150955200195, 0.4251486361026764, 15800, 7.812262870458322e-05]
2023-02-08 18:25:46,759	32k	INFO	====> Epoch: 1976
2023-02-08 18:25:57,154	32k	INFO	====> Epoch: 1977
2023-02-08 18:26:07,592	32k	INFO	====> Epoch: 1978
2023-02-08 18:26:18,034	32k	INFO	====> Epoch: 1979
2023-02-08 18:26:28,467	32k	INFO	====> Epoch: 1980
2023-02-08 18:26:38,904	32k	INFO	====> Epoch: 1981
2023-02-08 18:26:49,322	32k	INFO	====> Epoch: 1982
2023-02-08 18:26:59,812	32k	INFO	====> Epoch: 1983
2023-02-08 18:27:10,201	32k	INFO	====> Epoch: 1984
2023-02-08 18:27:20,638	32k	INFO	====> Epoch: 1985
2023-02-08 18:27:31,071	32k	INFO	====> Epoch: 1986
2023-02-08 18:27:41,516	32k	INFO	====> Epoch: 1987
2023-02-08 18:27:51,899	32k	INFO	====> Epoch: 1988
2023-02-08 18:28:02,344	32k	INFO	====> Epoch: 1989
2023-02-08 18:28:12,762	32k	INFO	====> Epoch: 1990
2023-02-08 18:28:23,207	32k	INFO	====> Epoch: 1991
2023-02-08 18:28:33,613	32k	INFO	====> Epoch: 1992
2023-02-08 18:28:43,995	32k	INFO	====> Epoch: 1993
2023-02-08 18:28:54,370	32k	INFO	====> Epoch: 1994
2023-02-08 18:29:04,760	32k	INFO	====> Epoch: 1995
2023-02-08 18:29:15,160	32k	INFO	====> Epoch: 1996
2023-02-08 18:29:25,569	32k	INFO	====> Epoch: 1997
2023-02-08 18:29:36,005	32k	INFO	====> Epoch: 1998
2023-02-08 18:29:46,417	32k	INFO	====> Epoch: 1999
2023-02-08 18:29:56,820	32k	INFO	====> Epoch: 2000
2023-02-08 18:30:00,834	32k	INFO	Train Epoch: 2001 [0%]
2023-02-08 18:30:00,834	32k	INFO	[2.185652256011963, 2.701260805130005, 13.772069931030273, 16.50971794128418, 0.502558171749115, 16000, 7.787886133900303e-05]
2023-02-08 18:30:05,412	32k	INFO	Saving model and optimizer state at iteration 2001 to ./logs\32k\G_16000.pth
2023-02-08 18:30:22,451	32k	INFO	Saving model and optimizer state at iteration 2001 to ./logs\32k\D_16000.pth
2023-02-08 18:30:32,322	32k	INFO	====> Epoch: 2001
2023-02-08 18:30:42,752	32k	INFO	====> Epoch: 2002
2023-02-08 18:30:53,132	32k	INFO	====> Epoch: 2003
2023-02-08 18:31:03,530	32k	INFO	====> Epoch: 2004
2023-02-08 18:31:13,931	32k	INFO	====> Epoch: 2005
2023-02-08 18:31:24,359	32k	INFO	====> Epoch: 2006
2023-02-08 18:31:34,829	32k	INFO	====> Epoch: 2007
2023-02-08 18:31:45,236	32k	INFO	====> Epoch: 2008
2023-02-08 18:31:55,635	32k	INFO	====> Epoch: 2009
2023-02-08 18:32:06,097	32k	INFO	====> Epoch: 2010
2023-02-08 18:32:16,469	32k	INFO	====> Epoch: 2011
2023-02-08 18:32:26,911	32k	INFO	====> Epoch: 2012
2023-02-08 18:32:37,357	32k	INFO	====> Epoch: 2013
2023-02-08 18:32:47,803	32k	INFO	====> Epoch: 2014
2023-02-08 18:32:58,183	32k	INFO	====> Epoch: 2015
2023-02-08 18:33:08,603	32k	INFO	====> Epoch: 2016
2023-02-08 18:33:18,999	32k	INFO	====> Epoch: 2017
2023-02-08 18:33:29,448	32k	INFO	====> Epoch: 2018
2023-02-08 18:33:39,888	32k	INFO	====> Epoch: 2019
2023-02-08 18:33:50,376	32k	INFO	====> Epoch: 2020
2023-02-08 18:34:00,800	32k	INFO	====> Epoch: 2021
2023-02-08 18:34:11,231	32k	INFO	====> Epoch: 2022
2023-02-08 18:34:21,623	32k	INFO	====> Epoch: 2023
2023-02-08 18:34:32,044	32k	INFO	====> Epoch: 2024
2023-02-08 18:34:42,500	32k	INFO	====> Epoch: 2025
2023-02-08 18:34:46,507	32k	INFO	Train Epoch: 2026 [0%]
2023-02-08 18:34:46,507	32k	INFO	[2.1518781185150146, 2.810969114303589, 11.116748809814453, 11.74994945526123, 0.44729116559028625, 16200, 7.763585460487504e-05]
2023-02-08 18:34:53,252	32k	INFO	====> Epoch: 2026
2023-02-08 18:35:03,653	32k	INFO	====> Epoch: 2027
2023-02-08 18:35:14,026	32k	INFO	====> Epoch: 2028
2023-02-08 18:35:24,444	32k	INFO	====> Epoch: 2029
2023-02-08 18:35:34,844	32k	INFO	====> Epoch: 2030
2023-02-08 18:35:45,235	32k	INFO	====> Epoch: 2031
2023-02-08 18:35:55,700	32k	INFO	====> Epoch: 2032
2023-02-08 18:36:06,145	32k	INFO	====> Epoch: 2033
2023-02-08 18:36:16,542	32k	INFO	====> Epoch: 2034
2023-02-08 18:36:26,978	32k	INFO	====> Epoch: 2035
2023-02-08 18:36:37,366	32k	INFO	====> Epoch: 2036
2023-02-08 18:36:47,797	32k	INFO	====> Epoch: 2037
2023-02-08 18:36:58,215	32k	INFO	====> Epoch: 2038
2023-02-08 18:37:08,711	32k	INFO	====> Epoch: 2039
2023-02-08 18:37:19,123	32k	INFO	====> Epoch: 2040
2023-02-08 18:37:29,534	32k	INFO	====> Epoch: 2041
2023-02-08 18:37:39,949	32k	INFO	====> Epoch: 2042
2023-02-08 18:37:50,374	32k	INFO	====> Epoch: 2043
2023-02-08 18:38:00,784	32k	INFO	====> Epoch: 2044
2023-02-08 18:38:11,225	32k	INFO	====> Epoch: 2045
2023-02-08 18:38:21,624	32k	INFO	====> Epoch: 2046
2023-02-08 18:38:32,054	32k	INFO	====> Epoch: 2047
2023-02-08 18:38:42,507	32k	INFO	====> Epoch: 2048
2023-02-08 18:38:52,913	32k	INFO	====> Epoch: 2049
2023-02-08 18:39:03,382	32k	INFO	====> Epoch: 2050
2023-02-08 18:39:07,387	32k	INFO	Train Epoch: 2051 [0%]
2023-02-08 18:39:07,388	32k	INFO	[2.2335166931152344, 2.6000185012817383, 8.125043869018555, 10.615909576416016, 0.6014745831489563, 16400, 7.739360612878801e-05]
2023-02-08 18:39:14,107	32k	INFO	====> Epoch: 2051
2023-02-08 18:39:24,547	32k	INFO	====> Epoch: 2052
2023-02-08 18:39:34,939	32k	INFO	====> Epoch: 2053
2023-02-08 18:39:45,358	32k	INFO	====> Epoch: 2054
2023-02-08 18:39:55,845	32k	INFO	====> Epoch: 2055
2023-02-08 18:40:06,240	32k	INFO	====> Epoch: 2056
2023-02-08 18:40:16,642	32k	INFO	====> Epoch: 2057
2023-02-08 18:40:27,130	32k	INFO	====> Epoch: 2058
2023-02-08 18:40:37,534	32k	INFO	====> Epoch: 2059
2023-02-08 18:40:47,969	32k	INFO	====> Epoch: 2060
2023-02-08 18:40:58,352	32k	INFO	====> Epoch: 2061
2023-02-08 18:41:08,809	32k	INFO	====> Epoch: 2062
2023-02-08 18:41:19,186	32k	INFO	====> Epoch: 2063
2023-02-08 18:41:29,630	32k	INFO	====> Epoch: 2064
2023-02-08 18:41:40,088	32k	INFO	====> Epoch: 2065
2023-02-08 18:41:50,545	32k	INFO	====> Epoch: 2066
2023-02-08 18:42:00,990	32k	INFO	====> Epoch: 2067
2023-02-08 18:42:11,436	32k	INFO	====> Epoch: 2068
2023-02-08 18:42:21,854	32k	INFO	====> Epoch: 2069
2023-02-08 18:42:32,297	32k	INFO	====> Epoch: 2070
2023-02-08 18:42:42,734	32k	INFO	====> Epoch: 2071
2023-02-08 18:42:53,140	32k	INFO	====> Epoch: 2072
2023-02-08 18:43:03,548	32k	INFO	====> Epoch: 2073
2023-02-08 18:43:13,936	32k	INFO	====> Epoch: 2074
2023-02-08 18:43:24,358	32k	INFO	====> Epoch: 2075
2023-02-08 18:43:28,357	32k	INFO	Train Epoch: 2076 [0%]
2023-02-08 18:43:28,357	32k	INFO	[1.970573902130127, 3.371624708175659, 9.119678497314453, 9.80416202545166, 0.3088313341140747, 16600, 7.715211354473646e-05]
2023-02-08 18:43:35,087	32k	INFO	====> Epoch: 2076
2023-02-08 18:43:45,489	32k	INFO	====> Epoch: 2077
2023-02-08 18:43:55,947	32k	INFO	====> Epoch: 2078
2023-02-08 18:44:06,380	32k	INFO	====> Epoch: 2079
2023-02-08 18:44:16,789	32k	INFO	====> Epoch: 2080
2023-02-08 18:44:27,175	32k	INFO	====> Epoch: 2081
2023-02-08 18:44:37,602	32k	INFO	====> Epoch: 2082
2023-02-08 18:44:48,012	32k	INFO	====> Epoch: 2083
2023-02-08 18:44:58,477	32k	INFO	====> Epoch: 2084
2023-02-08 18:45:08,935	32k	INFO	====> Epoch: 2085
2023-02-08 18:45:19,350	32k	INFO	====> Epoch: 2086
2023-02-08 18:45:29,767	32k	INFO	====> Epoch: 2087
2023-02-08 18:45:40,175	32k	INFO	====> Epoch: 2088
2023-02-08 18:45:50,613	32k	INFO	====> Epoch: 2089
2023-02-08 18:46:00,986	32k	INFO	====> Epoch: 2090
2023-02-08 18:46:11,418	32k	INFO	====> Epoch: 2091
2023-02-08 18:46:21,798	32k	INFO	====> Epoch: 2092
2023-02-08 18:46:32,231	32k	INFO	====> Epoch: 2093
2023-02-08 18:46:42,641	32k	INFO	====> Epoch: 2094
2023-02-08 18:46:53,053	32k	INFO	====> Epoch: 2095
2023-02-08 18:47:03,492	32k	INFO	====> Epoch: 2096
2023-02-08 18:47:13,922	32k	INFO	====> Epoch: 2097
2023-02-08 18:47:24,322	32k	INFO	====> Epoch: 2098
2023-02-08 18:47:34,723	32k	INFO	====> Epoch: 2099
2023-02-08 18:47:45,147	32k	INFO	====> Epoch: 2100
2023-02-08 18:47:49,117	32k	INFO	Train Epoch: 2101 [0%]
2023-02-08 18:47:49,117	32k	INFO	[2.2379488945007324, 2.8653507232666016, 12.78640365600586, 13.237690925598145, 0.44826242327690125, 16800, 7.691137449409772e-05]
2023-02-08 18:47:55,817	32k	INFO	====> Epoch: 2101
2023-02-08 18:48:06,285	32k	INFO	====> Epoch: 2102
2023-02-08 18:48:16,679	32k	INFO	====> Epoch: 2103
2023-02-08 18:48:27,088	32k	INFO	====> Epoch: 2104
2023-02-08 18:48:37,498	32k	INFO	====> Epoch: 2105
2023-02-08 18:48:47,959	32k	INFO	====> Epoch: 2106
2023-02-08 18:48:58,374	32k	INFO	====> Epoch: 2107
2023-02-08 18:49:08,859	32k	INFO	====> Epoch: 2108
2023-02-08 18:49:19,216	32k	INFO	====> Epoch: 2109
2023-02-08 18:49:29,656	32k	INFO	====> Epoch: 2110
2023-02-08 18:49:40,060	32k	INFO	====> Epoch: 2111
2023-02-08 18:49:50,565	32k	INFO	====> Epoch: 2112
2023-02-08 18:50:00,992	32k	INFO	====> Epoch: 2113
2023-02-08 18:50:11,451	32k	INFO	====> Epoch: 2114
2023-02-08 18:50:21,897	32k	INFO	====> Epoch: 2115
2023-02-08 18:50:32,329	32k	INFO	====> Epoch: 2116
2023-02-08 18:50:42,737	32k	INFO	====> Epoch: 2117
2023-02-08 18:50:53,163	32k	INFO	====> Epoch: 2118
2023-02-08 18:51:03,606	32k	INFO	====> Epoch: 2119
2023-02-08 18:51:14,058	32k	INFO	====> Epoch: 2120
2023-02-08 18:51:24,490	32k	INFO	====> Epoch: 2121
2023-02-08 18:51:34,883	32k	INFO	====> Epoch: 2122
2023-02-08 18:51:45,294	32k	INFO	====> Epoch: 2123
2023-02-08 18:51:55,733	32k	INFO	====> Epoch: 2124
2023-02-08 18:52:06,168	32k	INFO	====> Epoch: 2125
2023-02-08 18:52:10,149	32k	INFO	Train Epoch: 2126 [0%]
2023-02-08 18:52:10,150	32k	INFO	[2.1738243103027344, 3.026928663253784, 15.480461120605469, 17.928171157836914, 0.6958373188972473, 17000, 7.667138662560864e-05]
2023-02-08 18:52:14,706	32k	INFO	Saving model and optimizer state at iteration 2126 to ./logs\32k\G_17000.pth
2023-02-08 18:52:32,937	32k	INFO	Saving model and optimizer state at iteration 2126 to ./logs\32k\D_17000.pth
2023-02-08 18:52:43,371	32k	INFO	====> Epoch: 2126
2023-02-08 18:52:53,818	32k	INFO	====> Epoch: 2127
2023-02-08 18:53:04,173	32k	INFO	====> Epoch: 2128
2023-02-08 18:53:14,596	32k	INFO	====> Epoch: 2129
2023-02-08 18:53:25,006	32k	INFO	====> Epoch: 2130
2023-02-08 18:53:35,470	32k	INFO	====> Epoch: 2131
2023-02-08 18:53:45,871	32k	INFO	====> Epoch: 2132
2023-02-08 18:53:56,285	32k	INFO	====> Epoch: 2133
2023-02-08 18:54:06,765	32k	INFO	====> Epoch: 2134
2023-02-08 18:54:17,152	32k	INFO	====> Epoch: 2135
2023-02-08 18:54:27,559	32k	INFO	====> Epoch: 2136
2023-02-08 18:54:37,996	32k	INFO	====> Epoch: 2137
2023-02-08 18:54:48,400	32k	INFO	====> Epoch: 2138
2023-02-08 18:54:58,822	32k	INFO	====> Epoch: 2139
2023-02-08 18:55:09,295	32k	INFO	====> Epoch: 2140
2023-02-08 18:55:19,696	32k	INFO	====> Epoch: 2141
2023-02-08 18:55:30,093	32k	INFO	====> Epoch: 2142
2023-02-08 18:55:40,492	32k	INFO	====> Epoch: 2143
2023-02-08 18:55:50,942	32k	INFO	====> Epoch: 2144
2023-02-08 18:56:01,367	32k	INFO	====> Epoch: 2145
2023-02-08 18:56:11,788	32k	INFO	====> Epoch: 2146
2023-02-08 18:56:22,196	32k	INFO	====> Epoch: 2147
2023-02-08 18:56:32,635	32k	INFO	====> Epoch: 2148
2023-02-08 18:56:43,085	32k	INFO	====> Epoch: 2149
2023-02-08 18:56:53,567	32k	INFO	====> Epoch: 2150
2023-02-08 18:56:57,578	32k	INFO	Train Epoch: 2151 [0%]
2023-02-08 18:56:57,578	32k	INFO	[2.571228265762329, 2.3899974822998047, 7.814102649688721, 12.293179512023926, 0.7181629538536072, 17200, 7.643214759534276e-05]
2023-02-08 18:57:04,301	32k	INFO	====> Epoch: 2151
2023-02-08 18:57:14,696	32k	INFO	====> Epoch: 2152
2023-02-08 18:57:25,151	32k	INFO	====> Epoch: 2153
2023-02-08 18:57:35,684	32k	INFO	====> Epoch: 2154
2023-02-08 18:57:46,078	32k	INFO	====> Epoch: 2155
2023-02-08 18:57:56,543	32k	INFO	====> Epoch: 2156
2023-02-08 18:58:06,972	32k	INFO	====> Epoch: 2157
2023-02-08 18:58:17,390	32k	INFO	====> Epoch: 2158
2023-02-08 18:58:27,811	32k	INFO	====> Epoch: 2159
2023-02-08 18:58:38,248	32k	INFO	====> Epoch: 2160
2023-02-08 18:58:48,654	32k	INFO	====> Epoch: 2161
2023-02-08 18:58:59,055	32k	INFO	====> Epoch: 2162
2023-02-08 18:59:09,473	32k	INFO	====> Epoch: 2163
2023-02-08 18:59:19,874	32k	INFO	====> Epoch: 2164
2023-02-08 18:59:30,294	32k	INFO	====> Epoch: 2165
2023-02-08 18:59:40,718	32k	INFO	====> Epoch: 2166
2023-02-08 18:59:51,138	32k	INFO	====> Epoch: 2167
2023-02-08 19:00:01,578	32k	INFO	====> Epoch: 2168
2023-02-08 19:00:12,044	32k	INFO	====> Epoch: 2169
2023-02-08 19:00:22,451	32k	INFO	====> Epoch: 2170
2023-02-08 19:00:32,913	32k	INFO	====> Epoch: 2171
2023-02-08 19:00:43,302	32k	INFO	====> Epoch: 2172
2023-02-08 19:00:53,751	32k	INFO	====> Epoch: 2173
2023-02-08 19:01:04,167	32k	INFO	====> Epoch: 2174
2023-02-08 19:01:14,610	32k	INFO	====> Epoch: 2175
2023-02-08 19:01:18,598	32k	INFO	Train Epoch: 2176 [0%]
2023-02-08 19:01:18,598	32k	INFO	[2.334197759628296, 2.448347806930542, 12.154740333557129, 12.984410285949707, 0.5179316997528076, 17400, 7.619365506668749e-05]
2023-02-08 19:01:25,308	32k	INFO	====> Epoch: 2176
2023-02-08 19:01:35,765	32k	INFO	====> Epoch: 2177
2023-02-08 19:01:46,169	32k	INFO	====> Epoch: 2178
2023-02-08 19:01:56,592	32k	INFO	====> Epoch: 2179
2023-02-08 19:02:07,018	32k	INFO	====> Epoch: 2180
2023-02-08 19:02:17,496	32k	INFO	====> Epoch: 2181
2023-02-08 19:02:27,916	32k	INFO	====> Epoch: 2182
2023-02-08 19:02:38,334	32k	INFO	====> Epoch: 2183
2023-02-08 19:02:48,735	32k	INFO	====> Epoch: 2184
2023-02-08 19:02:59,144	32k	INFO	====> Epoch: 2185
2023-02-08 19:03:09,596	32k	INFO	====> Epoch: 2186
2023-02-08 19:03:20,065	32k	INFO	====> Epoch: 2187
2023-02-08 19:03:30,512	32k	INFO	====> Epoch: 2188
2023-02-08 19:03:40,966	32k	INFO	====> Epoch: 2189
2023-02-08 19:03:51,348	32k	INFO	====> Epoch: 2190
2023-02-08 19:04:01,776	32k	INFO	====> Epoch: 2191
2023-02-08 19:04:12,231	32k	INFO	====> Epoch: 2192
2023-02-08 19:04:22,656	32k	INFO	====> Epoch: 2193
2023-02-08 19:04:33,122	32k	INFO	====> Epoch: 2194
2023-02-08 19:04:43,514	32k	INFO	====> Epoch: 2195
2023-02-08 19:04:53,923	32k	INFO	====> Epoch: 2196
2023-02-08 19:05:04,354	32k	INFO	====> Epoch: 2197
2023-02-08 19:05:14,800	32k	INFO	====> Epoch: 2198
2023-02-08 19:05:25,268	32k	INFO	====> Epoch: 2199
2023-02-08 19:05:35,672	32k	INFO	====> Epoch: 2200
2023-02-08 19:05:39,693	32k	INFO	Train Epoch: 2201 [0%]
2023-02-08 19:05:39,693	32k	INFO	[2.500406503677368, 2.4323673248291016, 12.82425594329834, 13.033188819885254, 0.7288336157798767, 17600, 7.595590671032112e-05]
2023-02-08 19:05:46,404	32k	INFO	====> Epoch: 2201
2023-02-08 19:05:56,842	32k	INFO	====> Epoch: 2202
2023-02-08 19:06:07,237	32k	INFO	====> Epoch: 2203
2023-02-08 19:06:17,654	32k	INFO	====> Epoch: 2204
2023-02-08 19:06:28,103	32k	INFO	====> Epoch: 2205
2023-02-08 19:06:38,565	32k	INFO	====> Epoch: 2206
2023-02-08 19:06:49,024	32k	INFO	====> Epoch: 2207
2023-02-08 19:06:59,481	32k	INFO	====> Epoch: 2208
2023-02-08 19:07:09,943	32k	INFO	====> Epoch: 2209
2023-02-08 19:07:20,382	32k	INFO	====> Epoch: 2210
2023-02-08 19:07:30,826	32k	INFO	====> Epoch: 2211
2023-02-08 19:07:41,324	32k	INFO	====> Epoch: 2212
2023-02-08 19:07:51,737	32k	INFO	====> Epoch: 2213
2023-02-08 19:08:02,149	32k	INFO	====> Epoch: 2214
2023-02-08 19:08:12,563	32k	INFO	====> Epoch: 2215
2023-02-08 19:08:22,988	32k	INFO	====> Epoch: 2216
2023-02-08 19:08:33,479	32k	INFO	====> Epoch: 2217
2023-02-08 19:08:43,965	32k	INFO	====> Epoch: 2218
2023-02-08 19:08:54,409	32k	INFO	====> Epoch: 2219
2023-02-08 19:09:04,777	32k	INFO	====> Epoch: 2220
2023-02-08 19:09:15,169	32k	INFO	====> Epoch: 2221
2023-02-08 19:09:25,587	32k	INFO	====> Epoch: 2222
2023-02-08 19:09:36,049	32k	INFO	====> Epoch: 2223
2023-02-08 19:09:46,413	32k	INFO	====> Epoch: 2224
2023-02-08 19:09:56,863	32k	INFO	====> Epoch: 2225
2023-02-08 19:10:00,888	32k	INFO	Train Epoch: 2226 [0%]
2023-02-08 19:10:00,888	32k	INFO	[2.3223483562469482, 2.7149949073791504, 9.129434585571289, 13.279916763305664, 1.0343433618545532, 17800, 7.571890020419028e-05]
2023-02-08 19:10:07,598	32k	INFO	====> Epoch: 2226
2023-02-08 19:10:18,026	32k	INFO	====> Epoch: 2227
2023-02-08 19:10:28,410	32k	INFO	====> Epoch: 2228
2023-02-08 19:10:38,876	32k	INFO	====> Epoch: 2229
2023-02-08 19:10:49,310	32k	INFO	====> Epoch: 2230
2023-02-08 19:10:59,784	32k	INFO	====> Epoch: 2231
2023-02-08 19:11:10,203	32k	INFO	====> Epoch: 2232
2023-02-08 19:11:20,616	32k	INFO	====> Epoch: 2233
2023-02-08 19:11:31,009	32k	INFO	====> Epoch: 2234
2023-02-08 19:11:41,480	32k	INFO	====> Epoch: 2235
2023-02-08 19:11:51,913	32k	INFO	====> Epoch: 2236
2023-02-08 19:12:02,383	32k	INFO	====> Epoch: 2237
2023-02-08 19:12:12,834	32k	INFO	====> Epoch: 2238
2023-02-08 19:12:23,303	32k	INFO	====> Epoch: 2239
2023-02-08 19:12:33,729	32k	INFO	====> Epoch: 2240
2023-02-08 19:12:44,138	32k	INFO	====> Epoch: 2241
2023-02-08 19:12:54,543	32k	INFO	====> Epoch: 2242
2023-02-08 19:13:05,004	32k	INFO	====> Epoch: 2243
2023-02-08 19:13:15,434	32k	INFO	====> Epoch: 2244
2023-02-08 19:13:25,906	32k	INFO	====> Epoch: 2245
2023-02-08 19:13:36,291	32k	INFO	====> Epoch: 2246
2023-02-08 19:13:46,694	32k	INFO	====> Epoch: 2247
2023-02-08 19:13:57,127	32k	INFO	====> Epoch: 2248
2023-02-08 19:14:07,516	32k	INFO	====> Epoch: 2249
2023-02-08 19:14:17,942	32k	INFO	====> Epoch: 2250
2023-02-08 19:14:22,016	32k	INFO	Train Epoch: 2251 [0%]
2023-02-08 19:14:22,016	32k	INFO	[2.5089383125305176, 2.430567502975464, 8.281265258789062, 13.511837005615234, 0.4254402816295624, 18000, 7.548263323348703e-05]
2023-02-08 19:14:26,635	32k	INFO	Saving model and optimizer state at iteration 2251 to ./logs\32k\G_18000.pth
2023-02-08 19:14:45,940	32k	INFO	Saving model and optimizer state at iteration 2251 to ./logs\32k\D_18000.pth
2023-02-08 19:14:56,547	32k	INFO	====> Epoch: 2251
2023-02-08 19:15:06,945	32k	INFO	====> Epoch: 2252
2023-02-08 19:15:17,354	32k	INFO	====> Epoch: 2253
2023-02-08 19:15:27,778	32k	INFO	====> Epoch: 2254
2023-02-08 19:15:38,166	32k	INFO	====> Epoch: 2255
2023-02-08 19:15:48,597	32k	INFO	====> Epoch: 2256
2023-02-08 19:15:58,990	32k	INFO	====> Epoch: 2257
2023-02-08 19:16:09,397	32k	INFO	====> Epoch: 2258
2023-02-08 19:16:19,901	32k	INFO	====> Epoch: 2259
2023-02-08 19:16:30,319	32k	INFO	====> Epoch: 2260
2023-02-08 19:16:40,791	32k	INFO	====> Epoch: 2261
2023-02-08 19:16:51,193	32k	INFO	====> Epoch: 2262
2023-02-08 19:17:01,546	32k	INFO	====> Epoch: 2263
2023-02-08 19:17:11,987	32k	INFO	====> Epoch: 2264
2023-02-08 19:17:22,382	32k	INFO	====> Epoch: 2265
2023-02-08 19:17:32,800	32k	INFO	====> Epoch: 2266
2023-02-08 19:17:43,211	32k	INFO	====> Epoch: 2267
2023-02-08 19:17:53,626	32k	INFO	====> Epoch: 2268
2023-02-08 19:18:04,045	32k	INFO	====> Epoch: 2269
2023-02-08 19:18:14,488	32k	INFO	====> Epoch: 2270
2023-02-08 19:18:24,863	32k	INFO	====> Epoch: 2271
2023-02-08 19:18:35,309	32k	INFO	====> Epoch: 2272
2023-02-08 19:18:45,778	32k	INFO	====> Epoch: 2273
2023-02-08 19:18:56,174	32k	INFO	====> Epoch: 2274
2023-02-08 19:19:06,582	32k	INFO	====> Epoch: 2275
2023-02-08 19:19:10,585	32k	INFO	Train Epoch: 2276 [0%]
2023-02-08 19:19:10,586	32k	INFO	[2.184896945953369, 2.549492359161377, 8.852143287658691, 14.37846565246582, 0.8007593154907227, 18200, 7.524710349062645e-05]
2023-02-08 19:19:17,287	32k	INFO	====> Epoch: 2276
2023-02-08 19:19:27,657	32k	INFO	====> Epoch: 2277
2023-02-08 19:19:38,066	32k	INFO	====> Epoch: 2278
2023-02-08 19:19:48,485	32k	INFO	====> Epoch: 2279
2023-02-08 19:19:58,957	32k	INFO	====> Epoch: 2280
2023-02-08 19:20:09,334	32k	INFO	====> Epoch: 2281
2023-02-08 19:20:19,746	32k	INFO	====> Epoch: 2282
2023-02-08 19:20:30,174	32k	INFO	====> Epoch: 2283
2023-02-08 19:20:40,602	32k	INFO	====> Epoch: 2284
2023-02-08 19:20:50,995	32k	INFO	====> Epoch: 2285
2023-02-08 19:21:01,378	32k	INFO	====> Epoch: 2286
2023-02-08 19:21:11,808	32k	INFO	====> Epoch: 2287
2023-02-08 19:21:22,167	32k	INFO	====> Epoch: 2288
2023-02-08 19:21:32,579	32k	INFO	====> Epoch: 2289
2023-02-08 19:21:42,995	32k	INFO	====> Epoch: 2290
2023-02-08 19:21:53,387	32k	INFO	====> Epoch: 2291
2023-02-08 19:22:03,824	32k	INFO	====> Epoch: 2292
2023-02-08 19:22:14,255	32k	INFO	====> Epoch: 2293
2023-02-08 19:22:24,672	32k	INFO	====> Epoch: 2294
2023-02-08 19:22:35,070	32k	INFO	====> Epoch: 2295
2023-02-08 19:22:45,480	32k	INFO	====> Epoch: 2296
2023-02-08 19:22:55,865	32k	INFO	====> Epoch: 2297
2023-02-08 19:23:06,264	32k	INFO	====> Epoch: 2298
2023-02-08 19:23:16,667	32k	INFO	====> Epoch: 2299
2023-02-08 19:23:27,129	32k	INFO	====> Epoch: 2300
2023-02-08 19:23:31,138	32k	INFO	Train Epoch: 2301 [0%]
2023-02-08 19:23:31,138	32k	INFO	[2.4334352016448975, 2.347696542739868, 6.028600215911865, 7.881577968597412, 0.5044987201690674, 18400, 7.501230867522394e-05]
2023-02-08 19:23:37,856	32k	INFO	====> Epoch: 2301
2023-02-08 19:23:48,242	32k	INFO	====> Epoch: 2302
2023-02-08 19:23:58,640	32k	INFO	====> Epoch: 2303
2023-02-08 19:24:09,029	32k	INFO	====> Epoch: 2304
2023-02-08 19:24:19,428	32k	INFO	====> Epoch: 2305
2023-02-08 19:24:29,895	32k	INFO	====> Epoch: 2306
2023-02-08 19:24:40,325	32k	INFO	====> Epoch: 2307
2023-02-08 19:24:50,735	32k	INFO	====> Epoch: 2308
2023-02-08 19:25:01,119	32k	INFO	====> Epoch: 2309
2023-02-08 19:25:11,643	32k	INFO	====> Epoch: 2310
2023-02-08 19:25:22,069	32k	INFO	====> Epoch: 2311
2023-02-08 19:25:32,490	32k	INFO	====> Epoch: 2312
2023-02-08 19:25:42,941	32k	INFO	====> Epoch: 2313
2023-02-08 19:25:53,397	32k	INFO	====> Epoch: 2314
2023-02-08 19:26:03,783	32k	INFO	====> Epoch: 2315
2023-02-08 19:26:14,174	32k	INFO	====> Epoch: 2316
2023-02-08 19:26:24,607	32k	INFO	====> Epoch: 2317
2023-02-08 19:26:35,014	32k	INFO	====> Epoch: 2318
2023-02-08 19:26:45,469	32k	INFO	====> Epoch: 2319
2023-02-08 19:26:55,880	32k	INFO	====> Epoch: 2320
2023-02-08 19:27:06,292	32k	INFO	====> Epoch: 2321
2023-02-08 19:27:16,820	32k	INFO	====> Epoch: 2322
2023-02-08 19:27:27,231	32k	INFO	====> Epoch: 2323
2023-02-08 19:27:37,643	32k	INFO	====> Epoch: 2324
2023-02-08 19:27:48,045	32k	INFO	====> Epoch: 2325
2023-02-08 19:27:52,056	32k	INFO	Train Epoch: 2326 [0%]
2023-02-08 19:27:52,056	32k	INFO	[2.182438611984253, 2.983980178833008, 12.466286659240723, 15.612363815307617, 0.5746524333953857, 18600, 7.47782464940729e-05]
2023-02-08 19:27:58,778	32k	INFO	====> Epoch: 2326
2023-02-08 19:28:09,184	32k	INFO	====> Epoch: 2327
2023-02-08 19:28:19,587	32k	INFO	====> Epoch: 2328
2023-02-08 19:28:30,044	32k	INFO	====> Epoch: 2329
2023-02-08 19:28:40,436	32k	INFO	====> Epoch: 2330
2023-02-08 19:28:50,848	32k	INFO	====> Epoch: 2331
2023-02-08 19:29:01,301	32k	INFO	====> Epoch: 2332
2023-02-08 19:29:11,734	32k	INFO	====> Epoch: 2333
2023-02-08 19:29:22,147	32k	INFO	====> Epoch: 2334
2023-02-08 19:29:32,619	32k	INFO	====> Epoch: 2335
2023-02-08 19:29:43,018	32k	INFO	====> Epoch: 2336
2023-02-08 19:29:53,449	32k	INFO	====> Epoch: 2337
2023-02-08 19:30:03,829	32k	INFO	====> Epoch: 2338
2023-02-08 19:30:14,294	32k	INFO	====> Epoch: 2339
2023-02-08 19:30:24,721	32k	INFO	====> Epoch: 2340
2023-02-08 19:30:35,121	32k	INFO	====> Epoch: 2341
2023-02-08 19:30:45,515	32k	INFO	====> Epoch: 2342
2023-02-08 19:30:55,949	32k	INFO	====> Epoch: 2343
2023-02-08 19:31:06,332	32k	INFO	====> Epoch: 2344
2023-02-08 19:31:16,765	32k	INFO	====> Epoch: 2345
2023-02-08 19:31:27,169	32k	INFO	====> Epoch: 2346
2023-02-08 19:31:37,532	32k	INFO	====> Epoch: 2347
2023-02-08 19:31:47,969	32k	INFO	====> Epoch: 2348
2023-02-08 19:31:58,369	32k	INFO	====> Epoch: 2349
2023-02-08 19:32:08,842	32k	INFO	====> Epoch: 2350
2023-02-08 19:32:12,841	32k	INFO	Train Epoch: 2351 [0%]
2023-02-08 19:32:12,841	32k	INFO	[2.005685806274414, 3.096539258956909, 9.280778884887695, 12.255514144897461, 0.05817363038659096, 18800, 7.454491466112218e-05]
2023-02-08 19:32:19,545	32k	INFO	====> Epoch: 2351
2023-02-08 19:32:30,006	32k	INFO	====> Epoch: 2352
2023-02-08 19:32:40,413	32k	INFO	====> Epoch: 2353
2023-02-08 19:32:50,828	32k	INFO	====> Epoch: 2354
2023-02-08 19:33:01,243	32k	INFO	====> Epoch: 2355
2023-02-08 19:33:11,695	32k	INFO	====> Epoch: 2356
2023-02-08 19:33:22,096	32k	INFO	====> Epoch: 2357
2023-02-08 19:33:32,598	32k	INFO	====> Epoch: 2358
2023-02-08 19:33:43,046	32k	INFO	====> Epoch: 2359
2023-02-08 19:33:53,496	32k	INFO	====> Epoch: 2360
2023-02-08 19:34:03,982	32k	INFO	====> Epoch: 2361
2023-02-08 19:34:14,465	32k	INFO	====> Epoch: 2362
2023-02-08 19:34:24,889	32k	INFO	====> Epoch: 2363
2023-02-08 19:34:35,351	32k	INFO	====> Epoch: 2364
2023-02-08 19:34:45,739	32k	INFO	====> Epoch: 2365
2023-02-08 19:34:58,242	32k	INFO	====> Epoch: 2366
2023-02-08 19:35:08,836	32k	INFO	====> Epoch: 2367
2023-02-08 19:35:19,309	32k	INFO	====> Epoch: 2368
2023-02-08 19:35:29,771	32k	INFO	====> Epoch: 2369
2023-02-08 19:35:40,269	32k	INFO	====> Epoch: 2370
2023-02-08 19:35:50,765	32k	INFO	====> Epoch: 2371
2023-02-08 19:36:01,212	32k	INFO	====> Epoch: 2372
2023-02-08 19:36:11,696	32k	INFO	====> Epoch: 2373
2023-02-08 19:36:22,160	32k	INFO	====> Epoch: 2374
2023-02-08 19:36:32,645	32k	INFO	====> Epoch: 2375
2023-02-08 19:36:36,638	32k	INFO	Train Epoch: 2376 [0%]
2023-02-08 19:36:36,638	32k	INFO	[2.2830982208251953, 2.662417411804199, 15.60058307647705, 15.719597816467285, 0.4686387777328491, 19000, 7.431231089745396e-05]
2023-02-08 19:36:41,407	32k	INFO	Saving model and optimizer state at iteration 2376 to ./logs\32k\G_19000.pth
2023-02-08 19:37:00,872	32k	INFO	Saving model and optimizer state at iteration 2376 to ./logs\32k\D_19000.pth
2023-02-08 19:37:11,712	32k	INFO	====> Epoch: 2376
2023-02-08 19:37:22,188	32k	INFO	====> Epoch: 2377
2023-02-08 19:37:32,682	32k	INFO	====> Epoch: 2378
2023-02-08 19:37:43,102	32k	INFO	====> Epoch: 2379
2023-02-08 19:37:53,563	32k	INFO	====> Epoch: 2380
2023-02-08 19:38:03,998	32k	INFO	====> Epoch: 2381