Loading

Clouds Removal

Solution for submission 152419

A detailed solution for submission 152419 submitted for challenge Clouds Removal

ksnxr

Random Submission for Clouds Removal

Note : Create a copy of the notebook and use the copy for submission. Go to File > Save a Copy in Drive to create a new copy

Setting up Environment

Downloading Dataset

So we will first need to download the python library by AIcrowd that will allow us to download the dataset by just inputting the API key.

In [1]:
from google.colab import drive
drive.mount('/content/drive')
Mounted at /content/drive
In [2]:
!cp drive/MyDrive/complete_final_data_with_val.zip ./
!unzip complete_final_data_with_val.zip
Streaming output truncated to the last 5000 lines.
  inflating: testA/test/160_9.jpg    
  inflating: testA/test/477_10.jpg   
  inflating: testA/test/100_10.jpg   
  inflating: testA/test/485_9.jpg    
  inflating: testA/test/232_8.jpg    
  inflating: testA/test/381_18.jpg   
  inflating: testA/test/401_2.jpg    
  inflating: testA/test/33_18.jpg    
  inflating: testA/test/484_19.jpg   
  inflating: testA/test/6_9.jpg      
  inflating: testA/test/355_7.jpg    
  inflating: testA/test/272_9.jpg    
  inflating: testA/test/447_12.jpg   
  inflating: testA/test/343_8.jpg    
  inflating: testA/test/256_20.jpg   
  inflating: testA/test/417_1.jpg    
  inflating: testA/test/43_15.jpg    
  inflating: testA/test/52_0.jpg     
  inflating: testA/test/103_14.jpg   
  inflating: testA/test/35_23.jpg    
  inflating: testA/test/440_23.jpg   
  inflating: testA/test/155_0.jpg    
  inflating: testA/test/409_2.jpg    
  inflating: testA/test/102_2.jpg    
  inflating: testA/test/53_23.jpg    
  inflating: testA/test/60_20.jpg    
  inflating: testA/test/477_23.jpg   
  inflating: testA/test/433_0.jpg    
  inflating: testA/test/365_1.jpg    
  inflating: testA/test/251_5.jpg    
  inflating: testA/test/248_8.jpg    
  inflating: testA/test/130_9.jpg    
  inflating: testA/test/251_15.jpg   
  inflating: testA/test/332_17.jpg   
  inflating: testA/test/21_12.jpg    
  inflating: testA/test/171_21.jpg   
  inflating: testA/test/472_3.jpg    
  inflating: testA/test/403_6.jpg    
  inflating: testA/test/289_15.jpg   
  inflating: testA/test/215_19.jpg   
  inflating: testA/test/42_18.jpg    
  inflating: testA/test/211_8.jpg    
  inflating: testA/test/224_16.jpg   
  inflating: testA/test/415_21.jpg   
  inflating: testA/test/58_23.jpg    
  inflating: testA/test/455_7.jpg    
  inflating: testA/test/431_10.jpg   
  inflating: testA/test/157_8.jpg    
  inflating: testA/test/236_12.jpg   
  inflating: testA/test/137_12.jpg   
  inflating: testA/test/121_1.jpg    
  inflating: testA/test/40_8.jpg     
  inflating: testA/test/363_17.jpg   
  inflating: testA/test/342_0.jpg    
  inflating: testA/test/463_19.jpg   
  inflating: testA/test/134_15.jpg   
  inflating: testA/test/156_20.jpg   
  inflating: testA/test/273_0.jpg    
  inflating: testA/test/27_10.jpg    
  inflating: testA/test/238_16.jpg   
  inflating: testA/test/250_16.jpg   
  inflating: testA/test/149_16.jpg   
  inflating: testA/test/363_14.jpg   
  inflating: testA/test/183_19.jpg   
  inflating: testA/test/316_14.jpg   
  inflating: testA/test/422_5.jpg    
  inflating: testA/test/171_2.jpg    
  inflating: testA/test/228_22.jpg   
  inflating: testA/test/146_1.jpg    
  inflating: testA/test/458_11.jpg   
  inflating: testA/test/95_12.jpg    
  inflating: testA/test/243_1.jpg    
  inflating: testA/test/272_3.jpg    
  inflating: testA/test/437_14.jpg   
  inflating: testA/test/297_1.jpg    
  inflating: testA/test/215_13.jpg   
  inflating: testA/test/452_16.jpg   
  inflating: testA/test/119_22.jpg   
  inflating: testA/test/264_10.jpg   
  inflating: testA/test/27_9.jpg     
  inflating: testA/test/198_23.jpg   
  inflating: testA/test/125_2.jpg    
  inflating: testA/test/428_13.jpg   
  inflating: testA/test/401_8.jpg    
  inflating: testA/test/282_14.jpg   
  inflating: testA/test/195_19.jpg   
  inflating: testA/test/388_18.jpg   
  inflating: testA/test/281_10.jpg   
  inflating: testA/test/471_22.jpg   
  inflating: testA/test/360_17.jpg   
  inflating: testA/test/156_6.jpg    
  inflating: testA/test/167_3.jpg    
  inflating: testA/test/238_2.jpg    
  inflating: testA/test/483_9.jpg    
  inflating: testA/test/373_9.jpg    
  inflating: testA/test/297_10.jpg   
  inflating: testA/test/444_22.jpg   
  inflating: testA/test/39_14.jpg    
  inflating: testA/test/54_2.jpg     
  inflating: testA/test/95_7.jpg     
  inflating: testA/test/149_19.jpg   
  inflating: testA/test/193_21.jpg   
  inflating: testA/test/3_22.jpg     
  inflating: testA/test/62_13.jpg    
  inflating: testA/test/342_8.jpg    
  inflating: testA/test/12_6.jpg     
  inflating: testA/test/76_2.jpg     
  inflating: testA/test/387_16.jpg   
  inflating: testA/test/294_19.jpg   
  inflating: testA/test/343_20.jpg   
  inflating: testA/test/425_20.jpg   
  inflating: testA/test/301_4.jpg    
  inflating: testA/test/430_1.jpg    
  inflating: testA/test/266_3.jpg    
  inflating: testA/test/250_14.jpg   
  inflating: testA/test/224_20.jpg   
  inflating: testA/test/116_7.jpg    
  inflating: testA/test/67_3.jpg     
  inflating: testA/test/393_7.jpg    
  inflating: testA/test/148_20.jpg   
  inflating: testA/test/278_0.jpg    
  inflating: testA/test/116_6.jpg    
  inflating: testA/test/132_21.jpg   
  inflating: testA/test/222_5.jpg    
  inflating: testA/test/71_23.jpg    
  inflating: testA/test/255_10.jpg   
  inflating: testA/test/142_4.jpg    
  inflating: testA/test/56_18.jpg    
  inflating: testA/test/120_1.jpg    
  inflating: testA/test/229_2.jpg    
  inflating: testA/test/44_14.jpg    
  inflating: testA/test/28_7.jpg     
  inflating: testA/test/129_8.jpg    
  inflating: testA/test/403_0.jpg    
  inflating: testA/test/391_16.jpg   
  inflating: testA/test/419_10.jpg   
  inflating: testA/test/410_0.jpg    
  inflating: testA/test/412_22.jpg   
  inflating: testA/test/231_22.jpg   
  inflating: testA/test/93_5.jpg     
  inflating: testA/test/404_1.jpg    
  inflating: testA/test/100_22.jpg   
  inflating: testA/test/59_13.jpg    
  inflating: testA/test/382_7.jpg    
  inflating: testA/test/413_17.jpg   
  inflating: testA/test/91_2.jpg     
  inflating: testA/test/82_10.jpg    
  inflating: testA/test/227_5.jpg    
  inflating: testA/test/133_21.jpg   
  inflating: testA/test/356_22.jpg   
  inflating: testA/test/77_6.jpg     
  inflating: testA/test/371_17.jpg   
  inflating: testA/test/153_7.jpg    
  inflating: testA/test/153_22.jpg   
  inflating: testA/test/304_8.jpg    
  inflating: testA/test/216_4.jpg    
  inflating: testA/test/95_8.jpg     
  inflating: testA/test/165_7.jpg    
  inflating: testA/test/434_22.jpg   
  inflating: testA/test/474_3.jpg    
  inflating: testA/test/263_10.jpg   
  inflating: testA/test/456_0.jpg    
  inflating: testA/test/344_3.jpg    
  inflating: testA/test/410_9.jpg    
  inflating: testA/test/381_19.jpg   
  inflating: testA/test/443_11.jpg   
  inflating: testA/test/405_9.jpg    
  inflating: testA/test/187_19.jpg   
  inflating: testA/test/495_7.jpg    
  inflating: testA/test/205_21.jpg   
  inflating: testA/test/265_14.jpg   
  inflating: testA/test/419_11.jpg   
  inflating: testA/test/253_1.jpg    
  inflating: testA/test/262_5.jpg    
  inflating: testA/test/82_12.jpg    
  inflating: testA/test/51_1.jpg     
  inflating: testA/test/285_7.jpg    
  inflating: testA/test/172_10.jpg   
  inflating: testA/test/8_22.jpg     
  inflating: testA/test/182_0.jpg    
  inflating: testA/test/452_2.jpg    
  inflating: testA/test/111_23.jpg   
  inflating: testA/test/419_20.jpg   
  inflating: testA/test/300_1.jpg    
  inflating: testA/test/325_12.jpg   
  inflating: testA/test/104_13.jpg   
  inflating: testA/test/240_13.jpg   
  inflating: testA/test/398_17.jpg   
  inflating: testA/test/262_9.jpg    
  inflating: testA/test/18_8.jpg     
  inflating: testA/test/280_22.jpg   
  inflating: testA/test/268_4.jpg    
  inflating: testA/test/249_8.jpg    
  inflating: testA/test/87_7.jpg     
  inflating: testA/test/328_21.jpg   
  inflating: testA/test/24_9.jpg     
  inflating: testA/test/362_22.jpg   
  inflating: testA/test/482_10.jpg   
  inflating: testA/test/129_22.jpg   
  inflating: testA/test/220_3.jpg    
  inflating: testA/test/3_8.jpg      
  inflating: testA/test/45_16.jpg    
  inflating: testA/test/198_1.jpg    
  inflating: testA/test/276_3.jpg    
  inflating: testA/test/250_15.jpg   
  inflating: testA/test/182_11.jpg   
  inflating: testA/test/296_4.jpg    
  inflating: testA/test/381_10.jpg   
  inflating: testA/test/28_23.jpg    
  inflating: testA/test/35_22.jpg    
  inflating: testA/test/464_1.jpg    
  inflating: testA/test/5_4.jpg      
  inflating: testA/test/46_5.jpg     
  inflating: testA/test/373_21.jpg   
  inflating: testA/test/455_12.jpg   
  inflating: testA/test/136_14.jpg   
  inflating: testA/test/135_20.jpg   
  inflating: testA/test/283_19.jpg   
  inflating: testA/test/325_13.jpg   
  inflating: testA/test/319_8.jpg    
  inflating: testA/test/267_1.jpg    
  inflating: testA/test/101_9.jpg    
  inflating: testA/test/170_16.jpg   
  inflating: testA/test/88_8.jpg     
  inflating: testA/test/104_1.jpg    
  inflating: testA/test/70_21.jpg    
  inflating: testA/test/159_17.jpg   
  inflating: testA/test/494_3.jpg    
  inflating: testA/test/163_15.jpg   
  inflating: testA/test/83_19.jpg    
  inflating: testA/test/113_23.jpg   
  inflating: testA/test/184_17.jpg   
  inflating: testA/test/106_17.jpg   
  inflating: testA/test/407_9.jpg    
  inflating: testA/test/259_15.jpg   
  inflating: testA/test/462_15.jpg   
  inflating: testA/test/143_14.jpg   
  inflating: testA/test/419_5.jpg    
  inflating: testA/test/359_5.jpg    
  inflating: testA/test/133_1.jpg    
  inflating: testA/test/75_2.jpg     
  inflating: testA/test/300_22.jpg   
  inflating: testA/test/135_8.jpg    
  inflating: testA/test/408_19.jpg   
  inflating: testA/test/42_17.jpg    
  inflating: testA/test/300_13.jpg   
  inflating: testA/test/196_18.jpg   
  inflating: testA/test/99_8.jpg     
  inflating: testA/test/45_20.jpg    
  inflating: testA/test/117_0.jpg    
  inflating: testA/test/131_19.jpg   
  inflating: testA/test/98_7.jpg     
  inflating: testA/test/288_11.jpg   
  inflating: testA/test/314_5.jpg    
  inflating: testA/test/211_11.jpg   
  inflating: testA/test/96_17.jpg    
  inflating: testA/test/376_11.jpg   
  inflating: testA/test/39_2.jpg     
  inflating: testA/test/84_17.jpg    
  inflating: testA/test/168_19.jpg   
  inflating: testA/test/246_15.jpg   
  inflating: testA/test/259_17.jpg   
  inflating: testA/test/457_16.jpg   
  inflating: testA/test/438_22.jpg   
  inflating: testA/test/431_3.jpg    
  inflating: testA/test/487_21.jpg   
  inflating: testA/test/240_1.jpg    
  inflating: testA/test/173_20.jpg   
  inflating: testA/test/173_21.jpg   
  inflating: testA/test/408_12.jpg   
  inflating: testA/test/120_20.jpg   
  inflating: testA/test/267_5.jpg    
  inflating: testA/test/17_2.jpg     
  inflating: testA/test/263_9.jpg    
  inflating: testA/test/364_19.jpg   
  inflating: testA/test/396_16.jpg   
  inflating: testA/test/269_0.jpg    
  inflating: testA/test/386_21.jpg   
  inflating: testA/test/261_14.jpg   
  inflating: testA/test/185_7.jpg    
  inflating: testA/test/12_0.jpg     
  inflating: testA/test/280_17.jpg   
  inflating: testA/test/123_19.jpg   
  inflating: testA/test/334_16.jpg   
  inflating: testA/test/363_4.jpg    
  inflating: testA/test/254_23.jpg   
  inflating: testA/test/143_21.jpg   
  inflating: testA/test/302_15.jpg   
  inflating: testA/test/76_14.jpg    
  inflating: testA/test/106_15.jpg   
  inflating: testA/test/406_5.jpg    
  inflating: testA/test/9_8.jpg      
  inflating: testA/test/128_15.jpg   
  inflating: testA/test/485_6.jpg    
  inflating: testA/test/22_0.jpg     
  inflating: testA/test/266_18.jpg   
  inflating: testA/test/37_9.jpg     
  inflating: testA/test/346_21.jpg   
  inflating: testA/test/381_16.jpg   
  inflating: testA/test/84_22.jpg    
  inflating: testA/test/473_17.jpg   
  inflating: testA/test/331_6.jpg    
  inflating: testA/test/479_22.jpg   
  inflating: testA/test/34_17.jpg    
  inflating: testA/test/130_22.jpg   
  inflating: testA/test/261_12.jpg   
  inflating: testA/test/140_13.jpg   
  inflating: testA/test/170_1.jpg    
  inflating: testA/test/178_4.jpg    
  inflating: testA/test/309_19.jpg   
  inflating: testA/test/148_16.jpg   
  inflating: testA/test/280_5.jpg    
  inflating: testA/test/86_9.jpg     
  inflating: testA/test/200_5.jpg    
  inflating: testA/test/128_12.jpg   
  inflating: testA/test/237_2.jpg    
  inflating: testA/test/193_2.jpg    
  inflating: testA/test/356_7.jpg    
  inflating: testA/test/262_13.jpg   
  inflating: testA/test/451_2.jpg    
  inflating: testA/test/117_20.jpg   
  inflating: testA/test/220_22.jpg   
  inflating: testA/test/31_19.jpg    
  inflating: testA/test/348_6.jpg    
  inflating: testA/test/102_11.jpg   
  inflating: testA/test/90_2.jpg     
  inflating: testA/test/172_12.jpg   
  inflating: testA/test/367_9.jpg    
  inflating: testA/test/482_17.jpg   
  inflating: testA/test/53_16.jpg    
  inflating: testA/test/269_22.jpg   
  inflating: testA/test/374_5.jpg    
  inflating: testA/test/19_12.jpg    
  inflating: testA/test/435_4.jpg    
  inflating: testA/test/342_20.jpg   
  inflating: testA/test/371_3.jpg    
  inflating: testA/test/88_11.jpg    
  inflating: testA/test/429_10.jpg   
  inflating: testA/test/95_1.jpg     
  inflating: testA/test/383_12.jpg   
  inflating: testA/test/330_3.jpg    
  inflating: testA/test/156_2.jpg    
  inflating: testA/test/170_15.jpg   
  inflating: testA/test/45_14.jpg    
  inflating: testA/test/106_10.jpg   
  inflating: testA/test/401_12.jpg   
  inflating: testA/test/355_1.jpg    
  inflating: testA/test/304_5.jpg    
  inflating: testA/test/404_14.jpg   
  inflating: testA/test/464_22.jpg   
  inflating: testA/test/78_7.jpg     
  inflating: testA/test/474_4.jpg    
  inflating: testA/test/17_14.jpg    
  inflating: testA/test/296_17.jpg   
  inflating: testA/test/180_10.jpg   
  inflating: testA/test/317_3.jpg    
  inflating: testA/test/119_14.jpg   
  inflating: testA/test/100_21.jpg   
  inflating: testA/test/440_8.jpg    
  inflating: testA/test/294_7.jpg    
  inflating: testA/test/343_15.jpg   
  inflating: testA/test/188_3.jpg    
  inflating: testA/test/9_21.jpg     
  inflating: testA/test/382_4.jpg    
  inflating: testA/test/464_5.jpg    
  inflating: testA/test/74_7.jpg     
  inflating: testA/test/224_8.jpg    
  inflating: testA/test/124_10.jpg   
  inflating: testA/test/24_12.jpg    
  inflating: testA/test/408_0.jpg    
  inflating: testA/test/415_3.jpg    
  inflating: testA/test/326_13.jpg   
  inflating: testA/test/290_8.jpg    
  inflating: testA/test/122_17.jpg   
  inflating: testA/test/433_14.jpg   
  inflating: testA/test/147_5.jpg    
  inflating: testA/test/352_3.jpg    
  inflating: testA/test/116_2.jpg    
  inflating: testA/test/446_11.jpg   
  inflating: testA/test/79_0.jpg     
  inflating: testA/test/250_9.jpg    
  inflating: testA/test/468_18.jpg   
  inflating: testA/test/75_23.jpg    
  inflating: testA/test/174_3.jpg    
  inflating: testA/test/448_7.jpg    
  inflating: testA/test/170_4.jpg    
  inflating: testA/test/306_20.jpg   
  inflating: testA/test/369_6.jpg    
  inflating: testA/test/393_13.jpg   
  inflating: testA/test/84_12.jpg    
  inflating: testA/test/459_3.jpg    
  inflating: testA/test/48_17.jpg    
  inflating: testA/test/391_5.jpg    
  inflating: testA/test/434_9.jpg    
  inflating: testA/test/152_17.jpg   
  inflating: testA/test/238_10.jpg   
  inflating: testA/test/139_13.jpg   
  inflating: testA/test/447_8.jpg    
  inflating: testA/test/215_0.jpg    
  inflating: testA/test/488_7.jpg    
  inflating: testA/test/37_13.jpg    
  inflating: testA/test/81_1.jpg     
  inflating: testA/test/126_15.jpg   
  inflating: testA/test/474_9.jpg    
  inflating: testA/test/468_16.jpg   
  inflating: testA/test/53_0.jpg     
  inflating: testA/test/440_21.jpg   
  inflating: testA/test/427_23.jpg   
  inflating: testA/test/279_15.jpg   
  inflating: testA/test/384_7.jpg    
  inflating: testA/test/447_21.jpg   
  inflating: testA/test/299_21.jpg   
  inflating: testA/test/9_5.jpg      
  inflating: testA/test/74_16.jpg    
  inflating: testA/test/387_5.jpg    
  inflating: testA/test/25_16.jpg    
  inflating: testA/test/37_18.jpg    
  inflating: testA/test/393_2.jpg    
  inflating: testA/test/6_7.jpg      
  inflating: testA/test/337_20.jpg   
  inflating: testA/test/52_1.jpg     
  inflating: testA/test/327_21.jpg   
  inflating: testA/test/312_22.jpg   
  inflating: testA/test/51_11.jpg    
  inflating: testA/test/270_17.jpg   
  inflating: testA/test/4_5.jpg      
  inflating: testA/test/170_5.jpg    
  inflating: testA/test/339_22.jpg   
  inflating: testA/test/289_12.jpg   
  inflating: testA/test/175_7.jpg    
  inflating: testA/test/453_16.jpg   
  inflating: testA/test/429_9.jpg    
  inflating: testA/test/152_3.jpg    
  inflating: testA/test/171_0.jpg    
  inflating: testA/test/378_7.jpg    
  inflating: testA/test/75_17.jpg    
  inflating: testA/test/178_13.jpg   
  inflating: testA/test/79_6.jpg     
  inflating: testA/test/249_12.jpg   
  inflating: testA/test/496_0.jpg    
  inflating: testA/test/53_2.jpg     
  inflating: testA/test/385_19.jpg   
  inflating: testA/test/239_14.jpg   
  inflating: testA/test/359_1.jpg    
  inflating: testA/test/328_8.jpg    
  inflating: testA/test/90_19.jpg    
  inflating: testA/test/354_5.jpg    
  inflating: testA/test/231_2.jpg    
  inflating: testA/test/419_17.jpg   
  inflating: testA/test/311_3.jpg    
  inflating: testA/test/195_3.jpg    
  inflating: testA/test/92_5.jpg     
  inflating: testA/test/308_10.jpg   
  inflating: testA/test/466_20.jpg   
  inflating: testA/test/452_22.jpg   
  inflating: testA/test/102_6.jpg    
  inflating: testA/test/469_6.jpg    
  inflating: testA/test/7_3.jpg      
  inflating: testA/test/422_9.jpg    
  inflating: testA/test/377_9.jpg    
  inflating: testA/test/144_20.jpg   
  inflating: testA/test/283_1.jpg    
  inflating: testA/test/108_11.jpg   
  inflating: testA/test/175_17.jpg   
  inflating: testA/test/427_19.jpg   
  inflating: testA/test/71_12.jpg    
  inflating: testA/test/465_3.jpg    
  inflating: testA/test/160_13.jpg   
  inflating: testA/test/253_0.jpg    
  inflating: testA/test/459_18.jpg   
  inflating: testA/test/444_13.jpg   
  inflating: testA/test/224_7.jpg    
  inflating: testA/test/383_13.jpg   
  inflating: testA/test/25_13.jpg    
  inflating: testA/test/286_12.jpg   
  inflating: testA/test/121_16.jpg   
  inflating: testA/test/373_20.jpg   
  inflating: testA/test/363_9.jpg    
  inflating: testA/test/127_19.jpg   
  inflating: testA/test/303_1.jpg    
  inflating: testA/test/224_3.jpg    
  inflating: testA/test/259_16.jpg   
  inflating: testA/test/390_18.jpg   
  inflating: testA/test/70_23.jpg    
  inflating: testA/test/279_9.jpg    
  inflating: testA/test/393_19.jpg   
  inflating: testA/test/349_10.jpg   
  inflating: testA/test/270_3.jpg    
  inflating: testA/test/385_9.jpg    
  inflating: testA/test/22_20.jpg    
  inflating: testA/test/295_10.jpg   
  inflating: testA/test/329_3.jpg    
  inflating: testA/test/93_20.jpg    
  inflating: testA/test/142_9.jpg    
  inflating: testA/test/190_14.jpg   
  inflating: testA/test/335_4.jpg    
  inflating: testA/test/263_20.jpg   
  inflating: testA/test/178_14.jpg   
  inflating: testA/test/295_9.jpg    
  inflating: testA/test/475_4.jpg    
  inflating: testA/test/143_8.jpg    
  inflating: testA/test/209_3.jpg    
  inflating: testA/test/57_11.jpg    
  inflating: testA/test/100_8.jpg    
  inflating: testA/test/64_13.jpg    
  inflating: testA/test/76_3.jpg     
  inflating: testA/test/462_9.jpg    
  inflating: testA/test/69_23.jpg    
  inflating: testA/test/412_21.jpg   
  inflating: testA/test/402_14.jpg   
  inflating: testA/test/186_23.jpg   
  inflating: testA/test/216_20.jpg   
  inflating: testA/test/14_13.jpg    
  inflating: testA/test/225_23.jpg   
  inflating: testA/test/489_10.jpg   
  inflating: testA/test/204_16.jpg   
  inflating: testA/test/75_15.jpg    
  inflating: testA/test/74_8.jpg     
  inflating: testA/test/260_19.jpg   
  inflating: testA/test/170_3.jpg    
  inflating: testA/test/157_9.jpg    
  inflating: testA/test/1_6.jpg      
  inflating: testA/test/490_1.jpg    
  inflating: testA/test/241_19.jpg   
  inflating: testA/test/151_15.jpg   
  inflating: testA/test/475_5.jpg    
  inflating: testA/test/379_7.jpg    
  inflating: testA/test/54_7.jpg     
  inflating: testA/test/38_23.jpg    
  inflating: testA/test/260_1.jpg    
  inflating: testA/test/50_18.jpg    
  inflating: testA/test/85_9.jpg     
  inflating: testA/test/386_7.jpg    
  inflating: testA/test/361_22.jpg   
  inflating: testA/test/151_4.jpg    
  inflating: testA/test/458_6.jpg    
  inflating: testA/test/346_8.jpg    
  inflating: testA/test/294_10.jpg   
  inflating: testA/test/40_12.jpg    
  inflating: testA/test/364_6.jpg    
  inflating: testA/test/67_16.jpg    
  inflating: testA/test/166_15.jpg   
  inflating: testA/test/432_22.jpg   
  inflating: testA/test/421_22.jpg   
  inflating: testA/test/223_6.jpg    
  inflating: testA/test/376_23.jpg   
  inflating: testA/test/414_18.jpg   
  inflating: testA/test/391_3.jpg    
  inflating: testA/test/428_11.jpg   
  inflating: testA/test/54_16.jpg    
  inflating: testA/test/434_11.jpg   
  inflating: testA/test/116_11.jpg   
  inflating: testA/test/11_10.jpg    
  inflating: testA/test/278_18.jpg   
  inflating: testA/test/93_22.jpg    
  inflating: testA/test/19_2.jpg     
  inflating: testA/test/327_9.jpg    
  inflating: testA/test/195_8.jpg    
  inflating: testA/test/278_23.jpg   
  inflating: testA/test/304_3.jpg    
  inflating: testA/test/112_16.jpg   
  inflating: testA/test/79_7.jpg     
  inflating: testA/test/198_7.jpg    
  inflating: testA/test/414_13.jpg   
  inflating: testA/test/408_3.jpg    
  inflating: testA/test/316_8.jpg    
  inflating: testA/test/388_12.jpg   
  inflating: testA/test/421_20.jpg   
  inflating: testA/test/427_4.jpg    
  inflating: testA/test/360_21.jpg   
  inflating: testA/test/417_4.jpg    
  inflating: testA/test/392_21.jpg   
  inflating: testA/test/320_4.jpg    
  inflating: testA/test/395_23.jpg   
  inflating: testA/test/449_13.jpg   
  inflating: testA/test/429_18.jpg   
  inflating: testA/test/363_23.jpg   
  inflating: testA/test/439_14.jpg   
  inflating: testA/test/253_12.jpg   
  inflating: testA/test/270_6.jpg    
  inflating: testA/test/76_21.jpg    
  inflating: testA/test/176_2.jpg    
  inflating: testA/test/328_15.jpg   
  inflating: testA/test/271_18.jpg   
  inflating: testA/test/291_19.jpg   
  inflating: testA/test/272_12.jpg   
  inflating: testA/test/158_15.jpg   
  inflating: testA/test/358_15.jpg   
  inflating: testA/test/275_10.jpg   
  inflating: testA/test/177_13.jpg   
  inflating: testA/test/425_6.jpg    
  inflating: testA/test/325_2.jpg    
  inflating: testA/test/373_3.jpg    
  inflating: testA/test/307_13.jpg   
  inflating: testA/test/77_4.jpg     
  inflating: testA/test/384_18.jpg   
  inflating: testA/test/298_2.jpg    
  inflating: testA/test/284_23.jpg   
  inflating: testA/test/194_3.jpg    
  inflating: testA/test/54_0.jpg     
  inflating: testA/test/362_19.jpg   
  inflating: testA/test/350_4.jpg    
  inflating: testA/test/68_14.jpg    
  inflating: testA/test/305_11.jpg   
  inflating: testA/test/52_11.jpg    
  inflating: testA/test/220_8.jpg    
  inflating: testA/test/305_3.jpg    
  inflating: testA/test/396_18.jpg   
  inflating: testA/test/337_9.jpg    
  inflating: testA/test/74_1.jpg     
  inflating: testA/test/430_13.jpg   
  inflating: testA/test/112_13.jpg   
  inflating: testA/test/347_14.jpg   
  inflating: testA/test/459_6.jpg    
  inflating: testA/test/475_11.jpg   
  inflating: testA/test/450_13.jpg   
  inflating: testA/test/453_4.jpg    
  inflating: testA/test/329_23.jpg   
  inflating: testA/test/153_10.jpg   
  inflating: testA/test/313_13.jpg   
  inflating: testA/test/471_19.jpg   
  inflating: testA/test/444_23.jpg   
  inflating: testA/test/123_13.jpg   
  inflating: testA/test/195_7.jpg    
  inflating: testA/test/215_8.jpg    
  inflating: testA/test/272_20.jpg   
  inflating: testA/test/451_14.jpg   
  inflating: testA/test/55_11.jpg    
  inflating: testA/test/320_3.jpg    
  inflating: testA/test/443_18.jpg   
  inflating: testA/test/171_14.jpg   
  inflating: testA/test/154_18.jpg   
  inflating: testA/test/494_7.jpg    
  inflating: testA/test/487_1.jpg    
  inflating: testA/test/484_23.jpg   
  inflating: testA/test/55_0.jpg     
  inflating: testA/test/301_3.jpg    
  inflating: testA/test/121_10.jpg   
  inflating: testA/test/434_19.jpg   
  inflating: testA/test/30_5.jpg     
  inflating: testA/test/363_16.jpg   
  inflating: testA/test/63_11.jpg    
  inflating: testA/test/162_12.jpg   
  inflating: testA/test/60_16.jpg    
  inflating: testA/test/5_2.jpg      
  inflating: testA/test/470_0.jpg    
  inflating: testA/test/272_21.jpg   
  inflating: testA/test/73_20.jpg    
  inflating: testA/test/250_3.jpg    
  inflating: testA/test/5_17.jpg     
  inflating: testA/test/17_21.jpg    
  inflating: testA/test/321_22.jpg   
  inflating: testA/test/456_8.jpg    
  inflating: testA/test/305_2.jpg    
  inflating: testA/test/460_9.jpg    
  inflating: testA/test/53_5.jpg     
  inflating: testA/test/404_23.jpg   
  inflating: testA/test/293_6.jpg    
  inflating: testA/test/130_6.jpg    
  inflating: testA/test/176_12.jpg   
  inflating: testA/test/200_1.jpg    
  inflating: testA/test/117_7.jpg    
  inflating: testA/test/387_21.jpg   
  inflating: testA/test/377_0.jpg    
  inflating: testA/test/455_15.jpg   
  inflating: testA/test/456_1.jpg    
  inflating: testA/test/222_10.jpg   
  inflating: testA/test/174_9.jpg    
  inflating: testA/test/332_13.jpg   
  inflating: testA/test/188_8.jpg    
  inflating: testA/test/142_17.jpg   
  inflating: testA/test/369_0.jpg    
  inflating: testA/test/487_7.jpg    
  inflating: testA/test/153_13.jpg   
  inflating: testA/test/94_2.jpg     
  inflating: testA/test/357_20.jpg   
  inflating: testA/test/368_13.jpg   
  inflating: testA/test/62_0.jpg     
  inflating: testA/test/21_14.jpg    
  inflating: testA/test/201_10.jpg   
  inflating: testA/test/104_18.jpg   
  inflating: testA/test/64_17.jpg    
  inflating: testA/test/419_7.jpg    
  inflating: testA/test/2_7.jpg      
  inflating: testA/test/339_21.jpg   
  inflating: testA/test/440_3.jpg    
  inflating: testA/test/324_11.jpg   
  inflating: testA/test/456_21.jpg   
  inflating: testA/test/76_0.jpg     
  inflating: testA/test/492_22.jpg   
  inflating: testA/test/129_6.jpg    
  inflating: testA/test/270_19.jpg   
  inflating: testA/test/257_20.jpg   
  inflating: testA/test/364_3.jpg    
  inflating: testA/test/279_16.jpg   
  inflating: testA/test/40_23.jpg    
  inflating: testA/test/113_20.jpg   
  inflating: testA/test/189_17.jpg   
  inflating: testA/test/271_12.jpg   
  inflating: testA/test/10_13.jpg    
  inflating: testA/test/347_18.jpg   
  inflating: testA/test/183_3.jpg    
  inflating: testA/test/241_6.jpg    
  inflating: testA/test/318_16.jpg   
  inflating: testA/test/386_17.jpg   
  inflating: testA/test/261_3.jpg    
  inflating: testA/test/399_23.jpg   
  inflating: testA/test/188_0.jpg    
  inflating: testA/test/82_8.jpg     
  inflating: testA/test/440_9.jpg    
  inflating: testA/test/369_7.jpg    
  inflating: testA/test/36_1.jpg     
  inflating: testA/test/17_17.jpg    
  inflating: testA/test/249_6.jpg    
  inflating: testA/test/347_1.jpg    
  inflating: testA/test/460_15.jpg   
  inflating: testA/test/389_12.jpg   
  inflating: testA/test/219_20.jpg   
  inflating: testA/test/1_9.jpg      
  inflating: testA/test/187_11.jpg   
  inflating: testA/test/428_22.jpg   
  inflating: testA/test/17_13.jpg    
  inflating: testA/test/255_0.jpg    
  inflating: testA/test/486_10.jpg   
  inflating: testA/test/214_11.jpg   
  inflating: testA/test/249_18.jpg   
  inflating: testA/test/115_16.jpg   
  inflating: testA/test/145_15.jpg   
  inflating: testA/test/341_15.jpg   
  inflating: testA/test/305_12.jpg   
  inflating: testA/test/76_11.jpg    
  inflating: testA/test/238_8.jpg    
  inflating: testA/test/378_15.jpg   
  inflating: testA/test/473_11.jpg   
  inflating: testA/test/2_2.jpg      
  inflating: testA/test/73_7.jpg     
  inflating: testA/test/58_5.jpg     
  inflating: testA/test/140_19.jpg   
  inflating: testA/test/210_23.jpg   
  inflating: testA/test/488_3.jpg    
  inflating: testA/test/319_20.jpg   
  inflating: testA/test/151_23.jpg   
  inflating: testA/test/250_17.jpg   
  inflating: testA/test/470_9.jpg    
  inflating: testA/test/188_20.jpg   
  inflating: testA/test/426_0.jpg    
  inflating: testA/test/69_22.jpg    
  inflating: testA/test/347_17.jpg   
  inflating: testA/test/466_3.jpg    
  inflating: testA/test/482_22.jpg   
  inflating: testA/test/411_13.jpg   
  inflating: testA/test/446_21.jpg   
  inflating: testA/test/167_16.jpg   
  inflating: testA/test/465_2.jpg    
  inflating: testA/test/5_18.jpg     
  inflating: testA/test/202_9.jpg    
  inflating: testA/test/218_4.jpg    
  inflating: testA/test/314_0.jpg    
  inflating: testA/test/220_23.jpg   
  inflating: testA/test/287_17.jpg   
  inflating: testA/test/499_9.jpg    
  inflating: testA/test/71_6.jpg     
  inflating: testA/test/143_15.jpg   
  inflating: testA/test/121_22.jpg   
  inflating: testA/test/362_11.jpg   
  inflating: testA/test/353_11.jpg   
  inflating: testA/test/178_11.jpg   
  inflating: testA/test/32_19.jpg    
  inflating: testA/test/39_6.jpg     
  inflating: testA/test/213_14.jpg   
  inflating: testA/test/292_9.jpg    
  inflating: testA/test/43_10.jpg    
  inflating: testA/test/448_10.jpg   
  inflating: testA/test/434_23.jpg   
  inflating: testA/test/127_4.jpg    
  inflating: testA/test/270_23.jpg   
  inflating: testA/test/441_11.jpg   
  inflating: testA/test/177_10.jpg   
  inflating: testA/test/482_9.jpg    
  inflating: testA/test/444_17.jpg   
  inflating: testA/test/457_2.jpg    
  inflating: testA/test/218_14.jpg   
  inflating: testA/test/499_7.jpg    
  inflating: testA/test/409_17.jpg   
  inflating: testA/test/320_8.jpg    
  inflating: testA/test/252_11.jpg   
  inflating: testA/test/444_1.jpg    
  inflating: testA/test/472_0.jpg    
  inflating: testA/test/165_8.jpg    
  inflating: testA/test/416_17.jpg   
  inflating: testA/test/16_6.jpg     
  inflating: testA/test/294_5.jpg    
  inflating: testA/test/192_19.jpg   
  inflating: testA/test/366_18.jpg   
  inflating: testA/test/106_6.jpg    
  inflating: testA/test/37_8.jpg     
  inflating: testA/test/327_5.jpg    
  inflating: testA/test/205_0.jpg    
  inflating: testA/test/210_2.jpg    
  inflating: testA/test/113_3.jpg    
  inflating: testA/test/188_5.jpg    
  inflating: testA/test/121_8.jpg    
  inflating: testA/test/151_9.jpg    
  inflating: testA/test/393_11.jpg   
  inflating: testA/test/173_7.jpg    
  inflating: testA/test/120_17.jpg   
  inflating: testA/test/447_3.jpg    
  inflating: testA/test/278_12.jpg   
  inflating: testA/test/51_5.jpg     
  inflating: testA/test/355_17.jpg   
  inflating: testA/test/483_10.jpg   
  inflating: testA/test/88_19.jpg    
  inflating: testA/test/434_3.jpg    
  inflating: testA/test/408_17.jpg   
  inflating: testA/test/56_22.jpg    
  inflating: testA/test/228_4.jpg    
  inflating: testA/test/209_15.jpg   
  inflating: testA/test/232_23.jpg   
  inflating: testA/test/5_6.jpg      
  inflating: testA/test/204_6.jpg    
  inflating: testA/test/21_22.jpg    
  inflating: testA/test/88_16.jpg    
  inflating: testA/test/97_14.jpg    
  inflating: testA/test/11_16.jpg    
  inflating: testA/test/61_8.jpg     
  inflating: testA/test/456_23.jpg   
  inflating: testA/test/34_13.jpg    
  inflating: testA/test/243_13.jpg   
  inflating: testA/test/159_16.jpg   
  inflating: testA/test/161_23.jpg   
  inflating: testA/test/356_11.jpg   
  inflating: testA/test/483_21.jpg   
  inflating: testA/test/126_23.jpg   
  inflating: testA/test/462_1.jpg    
  inflating: testA/test/253_14.jpg   
  inflating: testA/test/498_22.jpg   
  inflating: testA/test/282_1.jpg    
  inflating: testA/test/264_0.jpg    
  inflating: testA/test/65_9.jpg     
  inflating: testA/test/423_3.jpg    
  inflating: testA/test/345_0.jpg    
  inflating: testA/test/99_22.jpg    
  inflating: testA/test/236_17.jpg   
  inflating: testA/test/260_14.jpg   
  inflating: testA/test/370_23.jpg   
  inflating: testA/test/66_2.jpg     
  inflating: testA/test/334_13.jpg   
  inflating: testA/test/31_7.jpg     
  inflating: testA/test/182_5.jpg    
  inflating: testA/test/426_13.jpg   
  inflating: testA/test/459_9.jpg    
  inflating: testA/test/357_17.jpg   
  inflating: testA/test/39_19.jpg    
  inflating: testA/test/231_15.jpg   
  inflating: testA/test/274_5.jpg    
  inflating: testA/test/308_12.jpg   
  inflating: testA/test/339_23.jpg   
  inflating: testA/test/427_22.jpg   
  inflating: testA/test/126_10.jpg   
  inflating: testA/test/491_3.jpg    
  inflating: testA/test/101_18.jpg   
  inflating: testA/test/410_13.jpg   
  inflating: testA/test/292_17.jpg   
  inflating: testA/test/410_11.jpg   
  inflating: testA/test/303_8.jpg    
  inflating: testA/test/404_8.jpg    
  inflating: testA/test/385_16.jpg   
  inflating: testA/test/386_5.jpg    
  inflating: testA/test/328_3.jpg    
  inflating: testA/test/168_10.jpg   
  inflating: testA/test/450_21.jpg   
  inflating: testA/test/198_21.jpg   
  inflating: testA/test/183_12.jpg   
  inflating: testA/test/402_3.jpg    
  inflating: testA/test/11_20.jpg    
  inflating: testA/test/310_14.jpg   
  inflating: testA/test/370_16.jpg   
  inflating: testA/test/80_20.jpg    
  inflating: testA/test/85_6.jpg     
  inflating: testA/test/324_7.jpg    
  inflating: testA/test/197_18.jpg   
  inflating: testA/test/410_3.jpg    
  inflating: testA/test/233_11.jpg   
  inflating: testA/test/225_7.jpg    
  inflating: testA/test/234_17.jpg   
  inflating: testA/test/181_14.jpg   
  inflating: testA/test/449_0.jpg    
  inflating: testA/test/2_14.jpg     
  inflating: testA/test/265_5.jpg    
  inflating: testA/test/181_10.jpg   
  inflating: testA/test/394_19.jpg   
  inflating: testA/test/379_21.jpg   
  inflating: testA/test/440_10.jpg   
  inflating: testA/test/415_18.jpg   
  inflating: testA/test/86_5.jpg     
  inflating: testA/test/396_11.jpg   
  inflating: testA/test/296_19.jpg   
  inflating: testA/test/338_16.jpg   
  inflating: testA/test/473_0.jpg    
  inflating: testA/test/197_4.jpg    
  inflating: testA/test/319_12.jpg   
  inflating: testA/test/468_6.jpg    
  inflating: testA/test/241_20.jpg   
  inflating: testA/test/144_8.jpg    
  inflating: testA/test/51_19.jpg    
  inflating: testA/test/27_1.jpg     
  inflating: testA/test/424_20.jpg   
  inflating: testA/test/62_7.jpg     
  inflating: testA/test/473_18.jpg   
  inflating: testA/test/465_1.jpg    
  inflating: testA/test/149_14.jpg   
  inflating: testA/test/322_17.jpg   
  inflating: testA/test/435_12.jpg   
  inflating: testA/test/238_3.jpg    
  inflating: testA/test/230_9.jpg    
  inflating: testA/test/448_19.jpg   
  inflating: testA/test/311_22.jpg   
  inflating: testA/test/249_1.jpg    
  inflating: testA/test/279_22.jpg   
  inflating: testA/test/181_1.jpg    
  inflating: testA/test/199_18.jpg   
  inflating: testA/test/310_17.jpg   
  inflating: testA/test/438_2.jpg    
  inflating: testA/test/370_18.jpg   
  inflating: testA/test/454_19.jpg   
  inflating: testA/test/386_19.jpg   
  inflating: testA/test/331_17.jpg   
  inflating: testA/test/388_23.jpg   
  inflating: testA/test/49_9.jpg     
  inflating: testA/test/11_5.jpg     
  inflating: testA/test/32_2.jpg     
  inflating: testA/test/136_8.jpg    
  inflating: testA/test/384_12.jpg   
  inflating: testA/test/350_14.jpg   
  inflating: testA/test/294_2.jpg    
  inflating: testA/test/441_12.jpg   
  inflating: testA/test/292_19.jpg   
  inflating: testA/test/429_23.jpg   
  inflating: testA/test/437_23.jpg   
  inflating: testA/test/402_18.jpg   
  inflating: testA/test/448_4.jpg    
  inflating: testA/test/70_7.jpg     
  inflating: testA/test/254_17.jpg   
  inflating: testA/test/397_1.jpg    
  inflating: testA/test/77_22.jpg    
  inflating: testA/test/10_17.jpg    
  inflating: testA/test/341_20.jpg   
  inflating: testA/test/53_4.jpg     
  inflating: testA/test/332_22.jpg   
  inflating: testA/test/79_5.jpg     
  inflating: testA/test/327_2.jpg    
  inflating: testA/test/258_6.jpg    
  inflating: testA/test/236_18.jpg   
  inflating: testA/test/334_18.jpg   
  inflating: testA/test/12_4.jpg     
  inflating: testA/test/28_3.jpg     
  inflating: testA/test/85_7.jpg     
  inflating: testA/test/369_11.jpg   
  inflating: testA/test/483_17.jpg   
  inflating: testA/test/288_7.jpg    
  inflating: testA/test/377_21.jpg   
  inflating: testA/test/495_19.jpg   
  inflating: testA/test/71_11.jpg    
  inflating: testA/test/107_13.jpg   
  inflating: testA/test/326_10.jpg   
  inflating: testA/test/11_7.jpg     
  inflating: testA/test/67_12.jpg    
  inflating: testA/test/493_2.jpg    
  inflating: testA/test/90_4.jpg     
  inflating: testA/test/424_0.jpg    
  inflating: testA/test/442_5.jpg    
  inflating: testA/test/44_17.jpg    
  inflating: testA/test/8_18.jpg     
  inflating: testA/test/470_19.jpg   
  inflating: testA/test/253_6.jpg    
  inflating: testA/test/74_18.jpg    
  inflating: testA/test/15_9.jpg     
  inflating: testA/test/318_3.jpg    
  inflating: testA/test/122_10.jpg   
  inflating: testA/test/346_23.jpg   
  inflating: testA/test/424_9.jpg    
  inflating: testA/test/71_2.jpg     
  inflating: testA/test/276_2.jpg    
  inflating: testA/test/372_21.jpg   
  inflating: testA/test/413_23.jpg   
  inflating: testA/test/115_1.jpg    
  inflating: testA/test/119_12.jpg   
  inflating: testA/test/179_14.jpg   
  inflating: testA/test/397_8.jpg    
  inflating: testA/test/79_4.jpg     
  inflating: testA/test/317_16.jpg   
  inflating: testA/test/238_1.jpg    
  inflating: testA/test/411_5.jpg    
  inflating: testA/test/491_13.jpg   
  inflating: testA/test/149_20.jpg   
  inflating: testA/test/126_13.jpg   
  inflating: testA/test/301_10.jpg   
  inflating: testA/test/272_0.jpg    
  inflating: testA/test/185_0.jpg    
  inflating: testA/test/307_0.jpg    
  inflating: testA/test/134_21.jpg   
  inflating: testA/test/33_9.jpg     
  inflating: testA/test/405_1.jpg    
  inflating: testA/test/205_2.jpg    
  inflating: testA/test/391_11.jpg   
  inflating: testA/test/29_8.jpg     
  inflating: testA/test/175_12.jpg   
  inflating: testA/test/244_21.jpg   
  inflating: testA/test/13_13.jpg    
  inflating: testA/test/166_0.jpg    
  inflating: testA/test/197_11.jpg   
  inflating: testA/test/60_1.jpg     
  inflating: testA/test/113_21.jpg   
  inflating: testA/test/485_8.jpg    
  inflating: testA/test/249_5.jpg    
  inflating: testA/test/319_14.jpg   
  inflating: testA/test/393_20.jpg   
  inflating: testA/test/118_5.jpg    
  inflating: testA/test/126_1.jpg    
  inflating: testA/test/459_23.jpg   
  inflating: testA/test/137_15.jpg   
  inflating: testA/test/259_9.jpg    
  inflating: testA/test/96_10.jpg    
  inflating: testA/test/490_7.jpg    
  inflating: testA/test/160_4.jpg    
  inflating: testA/test/101_13.jpg   
  inflating: testA/test/462_2.jpg    
  inflating: testA/test/184_18.jpg   
  inflating: testA/test/80_22.jpg    
  inflating: testA/test/440_14.jpg   
  inflating: testA/test/282_7.jpg    
  inflating: testA/test/377_1.jpg    
  inflating: testA/test/1_0.jpg      
  inflating: testA/test/186_7.jpg    
  inflating: testA/test/0_11.jpg     
  inflating: testA/test/172_7.jpg    
  inflating: testA/test/224_13.jpg   
  inflating: testA/test/4_10.jpg     
  inflating: testA/test/328_4.jpg    
  inflating: testA/test/484_17.jpg   
  inflating: testA/test/232_18.jpg   
  inflating: testA/test/428_7.jpg    
  inflating: testA/test/5_20.jpg     
  inflating: testA/test/176_23.jpg   
  inflating: testA/test/275_6.jpg    
  inflating: testA/test/143_10.jpg   
  inflating: testA/test/268_10.jpg   
  inflating: testA/test/403_21.jpg   
  inflating: testA/test/29_11.jpg    
  inflating: testA/test/116_20.jpg   
  inflating: testA/test/429_20.jpg   
  inflating: testA/test/205_11.jpg   
  inflating: testA/test/109_21.jpg   
  inflating: testA/test/472_1.jpg    
  inflating: testA/test/295_16.jpg   
  inflating: testA/test/352_14.jpg   
  inflating: testA/test/271_21.jpg   
  inflating: testA/test/179_17.jpg   
  inflating: testA/test/364_18.jpg   
  inflating: testA/test/407_18.jpg   
  inflating: testA/test/215_3.jpg    
  inflating: testA/test/128_20.jpg   
  inflating: testA/test/109_9.jpg    
  inflating: testA/test/120_13.jpg   
  inflating: testA/test/54_3.jpg     
  inflating: testA/test/486_3.jpg    
  inflating: testA/test/144_10.jpg   
  inflating: testA/test/381_15.jpg   
  inflating: testA/test/54_4.jpg     
  inflating: testA/test/435_7.jpg    
  inflating: testA/test/125_5.jpg    
  inflating: testA/test/244_3.jpg    
  inflating: testA/test/476_11.jpg   
  inflating: testA/test/167_22.jpg   
  inflating: testA/test/48_23.jpg    
  inflating: testA/test/189_10.jpg   
  inflating: testA/test/459_13.jpg   
  inflating: testA/test/104_14.jpg   
  inflating: testA/test/123_1.jpg    
  inflating: testA/test/123_18.jpg   
  inflating: testA/test/127_16.jpg   
  inflating: testA/test/91_12.jpg    
  inflating: testA/test/53_14.jpg    
  inflating: testA/test/101_12.jpg   
  inflating: testA/test/200_14.jpg   
  inflating: testA/test/443_0.jpg    
  inflating: testA/test/237_7.jpg    
  inflating: testA/test/204_18.jpg   
  inflating: testA/test/463_21.jpg   
  inflating: testA/test/63_5.jpg     
  inflating: testA/test/150_14.jpg   
  inflating: testA/test/267_9.jpg    
  inflating: testA/test/207_13.jpg   
  inflating: testA/test/426_15.jpg   
  inflating: testA/test/275_3.jpg    
  inflating: testA/test/39_22.jpg    
  inflating: testA/test/73_0.jpg     
  inflating: testA/test/318_22.jpg   
  inflating: testA/test/467_9.jpg    
  inflating: testA/test/327_0.jpg    
  inflating: testA/test/232_17.jpg   
  inflating: testA/test/289_10.jpg   
  inflating: testA/test/158_20.jpg   
  inflating: testA/test/419_22.jpg   
  inflating: testA/test/329_14.jpg   
  inflating: testA/test/13_2.jpg     
  inflating: testA/test/50_23.jpg    
  inflating: testA/test/111_16.jpg   
  inflating: testA/test/191_7.jpg    
  inflating: testA/test/349_15.jpg   
  inflating: testA/test/2_22.jpg     
  inflating: testA/test/132_11.jpg   
  inflating: testA/test/326_21.jpg   
  inflating: testA/test/244_2.jpg    
  inflating: testA/test/173_8.jpg    
  inflating: testA/test/346_0.jpg    
  inflating: testA/test/424_22.jpg   
  inflating: testA/test/257_7.jpg    
  inflating: testA/test/77_0.jpg     
  inflating: testA/test/272_18.jpg   
  inflating: testA/test/184_23.jpg   
  inflating: testA/test/330_18.jpg   
  inflating: testA/test/25_1.jpg     
  inflating: testA/test/308_2.jpg    
  inflating: testA/test/99_0.jpg     
  inflating: testA/test/449_9.jpg    
  inflating: testA/test/19_0.jpg     
  inflating: testA/test/198_0.jpg    
  inflating: testA/test/9_12.jpg     
  inflating: testA/test/295_12.jpg   
  inflating: testA/test/243_8.jpg    
  inflating: testA/test/150_15.jpg   
  inflating: testA/test/11_22.jpg    
  inflating: testA/test/94_1.jpg     
  inflating: testA/test/34_12.jpg    
  inflating: testA/test/49_13.jpg    
  inflating: testA/test/4_22.jpg     
  inflating: testA/test/304_12.jpg   
  inflating: testA/test/89_23.jpg    
  inflating: testA/test/360_4.jpg    
  inflating: testA/test/291_1.jpg    
  inflating: testA/test/359_23.jpg   
  inflating: testA/test/96_2.jpg     
  inflating: testA/test/499_14.jpg   
  inflating: testA/test/138_19.jpg   
  inflating: testA/test/480_4.jpg    
  inflating: testA/test/376_13.jpg   
  inflating: testA/test/169_6.jpg    
  inflating: testA/test/233_13.jpg   
  inflating: testA/test/252_12.jpg   
  inflating: testA/test/314_18.jpg   
  inflating: testA/test/425_10.jpg   
  inflating: testA/test/371_9.jpg    
  inflating: testA/test/129_12.jpg   
  inflating: testA/test/416_19.jpg   
  inflating: testA/test/116_4.jpg    
  inflating: testA/test/499_12.jpg   
  inflating: testA/test/223_21.jpg   
  inflating: testA/test/28_14.jpg    
  inflating: testA/test/484_20.jpg   
  inflating: testA/test/116_13.jpg   
  inflating: testA/test/342_15.jpg   
  inflating: testA/test/190_21.jpg   
  inflating: testA/test/199_19.jpg   
  inflating: testA/test/433_7.jpg    
  inflating: testA/test/18_21.jpg    
  inflating: testA/test/475_1.jpg    
  inflating: testA/test/460_7.jpg    
  inflating: testA/test/246_19.jpg   
  inflating: testA/test/233_12.jpg   
  inflating: testA/test/293_9.jpg    
  inflating: testA/test/53_22.jpg    
  inflating: testA/test/269_5.jpg    
  inflating: testA/test/467_11.jpg   
  inflating: testA/test/306_2.jpg    
  inflating: testA/test/231_18.jpg   
  inflating: testA/test/394_9.jpg    
  inflating: testA/test/409_11.jpg   
  inflating: testA/test/286_19.jpg   
  inflating: testA/test/80_4.jpg     
  inflating: testA/test/382_6.jpg    
  inflating: testA/test/217_0.jpg    
  inflating: testA/test/84_7.jpg     
  inflating: testA/test/239_20.jpg   
  inflating: testA/test/247_5.jpg    
  inflating: testA/test/416_1.jpg    
  inflating: testA/test/454_15.jpg   
  inflating: testA/test/174_20.jpg   
  inflating: testA/test/300_2.jpg    
  inflating: testA/test/102_23.jpg   
  inflating: testA/test/355_11.jpg   
  inflating: testA/test/47_22.jpg    
  inflating: testA/test/472_6.jpg    
  inflating: testA/test/297_17.jpg   
  inflating: testA/test/391_6.jpg    
  inflating: testA/test/5_0.jpg      
  inflating: testA/test/396_12.jpg   
  inflating: testA/test/477_14.jpg   
  inflating: testA/test/20_14.jpg    
  inflating: testA/test/497_14.jpg   
  inflating: testA/test/344_23.jpg   
  inflating: testA/test/458_23.jpg   
  inflating: testA/test/340_10.jpg   
  inflating: testA/test/240_6.jpg    
  inflating: testA/test/71_21.jpg    
  inflating: testA/test/109_13.jpg   
  inflating: testA/test/124_12.jpg   
  inflating: testA/test/430_8.jpg    
  inflating: testA/test/116_15.jpg   
  inflating: testA/test/283_21.jpg   
  inflating: testA/test/206_20.jpg   
  inflating: testA/test/454_0.jpg    
  inflating: testA/test/9_9.jpg      
  inflating: testA/test/87_22.jpg    
  inflating: testA/test/138_3.jpg    
  inflating: testA/test/25_14.jpg    
  inflating: testA/test/256_14.jpg   
  inflating: testA/test/309_5.jpg    
  inflating: testA/test/340_2.jpg    
  inflating: testA/test/460_6.jpg    
  inflating: testA/test/290_4.jpg    
  inflating: testA/test/234_1.jpg    
  inflating: testA/test/10_2.jpg     
  inflating: testA/test/411_7.jpg    
  inflating: testA/test/226_12.jpg   
  inflating: testA/test/158_19.jpg   
  inflating: testA/test/190_6.jpg    
  inflating: testA/test/350_9.jpg    
  inflating: testA/test/51_7.jpg     
  inflating: testA/test/113_18.jpg   
  inflating: testA/test/171_8.jpg    
  inflating: testA/test/8_3.jpg      
  inflating: testA/test/28_9.jpg     
  inflating: testA/test/59_19.jpg    
  inflating: testA/test/488_12.jpg   
  inflating: testA/test/413_2.jpg    
  inflating: testA/test/149_8.jpg    
  inflating: testA/test/218_23.jpg   
  inflating: testA/test/311_2.jpg    
  inflating: testA/test/271_10.jpg   
  inflating: testA/test/178_17.jpg   
  inflating: testA/test/368_6.jpg    
  inflating: testA/test/174_2.jpg    
  inflating: testA/test/7_14.jpg     
  inflating: testA/test/376_16.jpg   
  inflating: testA/test/117_23.jpg   
  inflating: testA/test/445_17.jpg   
  inflating: testA/test/109_11.jpg   
  inflating: testA/test/146_20.jpg   
  inflating: testA/test/346_13.jpg   
  inflating: testA/test/215_11.jpg   
  inflating: testA/test/346_10.jpg   
  inflating: testA/test/362_15.jpg   
  inflating: testA/test/10_21.jpg    
  inflating: testA/test/245_19.jpg   
  inflating: testA/test/252_0.jpg    
  inflating: testA/test/284_15.jpg   
  inflating: testA/test/110_17.jpg   
  inflating: testA/test/395_10.jpg   
  inflating: testA/test/405_6.jpg    
  inflating: testA/test/15_3.jpg     
  inflating: testA/test/11_9.jpg     
  inflating: testA/test/105_7.jpg    
  inflating: testA/test/222_21.jpg   
  inflating: testA/test/82_20.jpg    
  inflating: testA/test/89_18.jpg    
  inflating: testA/test/238_9.jpg    
  inflating: testA/test/35_13.jpg    
  inflating: testA/test/260_16.jpg   
  inflating: testA/test/294_6.jpg    
  inflating: testA/test/151_10.jpg   
  inflating: testA/test/107_21.jpg   
  inflating: testA/test/374_17.jpg   
  inflating: testA/test/291_5.jpg    
  inflating: testA/test/126_5.jpg    
  inflating: testA/test/124_20.jpg   
  inflating: testA/test/209_22.jpg   
  inflating: testA/test/487_10.jpg   
  inflating: testA/test/390_7.jpg    
  inflating: testA/test/435_22.jpg   
  inflating: testA/test/10_15.jpg    
  inflating: testA/test/491_18.jpg   
  inflating: testA/test/331_15.jpg   
  inflating: testA/test/135_4.jpg    
  inflating: testA/test/319_16.jpg   
  inflating: testA/test/180_18.jpg   
  inflating: testA/test/41_13.jpg    
  inflating: testA/test/184_8.jpg    
  inflating: testA/test/37_7.jpg     
  inflating: testA/test/235_8.jpg    
  inflating: testA/test/42_4.jpg     
  inflating: testA/test/333_18.jpg   
  inflating: testA/test/389_10.jpg   
  inflating: testA/test/243_3.jpg    
  inflating: testA/test/374_12.jpg   
  inflating: testA/test/319_3.jpg    
  inflating: testA/test/68_5.jpg     
  inflating: testA/test/240_11.jpg   
  inflating: testA/test/286_10.jpg   
  inflating: testA/test/117_15.jpg   
  inflating: testA/test/323_23.jpg   
  inflating: testA/test/398_13.jpg   
  inflating: testA/test/8_13.jpg     
  inflating: testA/test/92_2.jpg     
  inflating: testA/test/421_9.jpg    
  inflating: testA/test/469_20.jpg   
  inflating: testA/test/412_13.jpg   
  inflating: testA/test/400_9.jpg    
  inflating: testA/test/390_21.jpg   
  inflating: testA/test/447_6.jpg    
  inflating: testA/test/137_4.jpg    
  inflating: testA/test/168_2.jpg    
  inflating: testA/test/40_7.jpg     
  inflating: testA/test/140_7.jpg    
  inflating: testA/test/242_16.jpg   
  inflating: testA/test/108_3.jpg    
  inflating: testA/test/332_23.jpg   
  inflating: testA/test/346_3.jpg    
  inflating: testA/test/225_15.jpg   
  inflating: testA/test/103_16.jpg   
  inflating: testA/test/232_10.jpg   
  inflating: testA/test/90_15.jpg    
  inflating: testA/test/298_20.jpg   
  inflating: testA/test/290_12.jpg   
  inflating: testA/test/463_9.jpg    
  inflating: testA/test/469_4.jpg    
  inflating: testA/test/215_16.jpg   
  inflating: testA/test/168_4.jpg    
  inflating: testA/test/140_1.jpg    
  inflating: testA/test/478_20.jpg   
  inflating: testA/test/425_22.jpg   
  inflating: testA/test/294_23.jpg   
  inflating: testA/test/173_16.jpg   
  inflating: testA/test/11_15.jpg    
  inflating: testA/test/206_22.jpg   
  inflating: testA/test/69_0.jpg     
  inflating: testA/test/149_9.jpg    
  inflating: testA/test/104_3.jpg    
  inflating: testA/test/462_22.jpg   
  inflating: testA/test/480_10.jpg   
  inflating: testA/test/75_19.jpg    
  inflating: testA/test/327_6.jpg    
  inflating: testA/test/397_11.jpg   
  inflating: testA/test/221_10.jpg   
  inflating: testA/test/352_6.jpg    
  inflating: testA/test/165_6.jpg    
  inflating: testA/test/189_2.jpg    
  inflating: testA/test/125_16.jpg   
  inflating: testA/test/343_21.jpg   
  inflating: testA/test/71_10.jpg    
  inflating: testA/test/426_19.jpg   
  inflating: testA/test/375_17.jpg   
  inflating: testA/test/8_10.jpg     
  inflating: testA/test/106_2.jpg    
  inflating: testA/test/270_11.jpg   
  inflating: testA/test/479_11.jpg   
  inflating: testA/test/101_7.jpg    
  inflating: testA/test/490_22.jpg   
  inflating: testA/test/31_8.jpg     
  inflating: testA/test/354_7.jpg    
  inflating: testA/test/380_21.jpg   
  inflating: testA/test/53_8.jpg     
  inflating: testA/test/201_17.jpg   
  inflating: testA/test/410_10.jpg   
  inflating: testA/test/205_4.jpg    
  inflating: testA/test/293_3.jpg    
  inflating: testA/test/136_9.jpg    
  inflating: testA/test/425_11.jpg   
  inflating: testA/test/1_14.jpg     
  inflating: testA/test/186_4.jpg    
  inflating: testA/test/442_20.jpg   
  inflating: testA/test/101_1.jpg    
  inflating: testA/test/282_19.jpg   
  inflating: testA/test/221_7.jpg    
  inflating: testA/test/130_13.jpg   
  inflating: testA/test/181_21.jpg   
  inflating: testA/test/15_1.jpg     
  inflating: testA/test/126_14.jpg   
  inflating: testA/test/253_8.jpg    
  inflating: testA/test/287_2.jpg    
  inflating: testA/test/470_11.jpg   
  inflating: testA/test/141_11.jpg   
  inflating: testA/test/5_21.jpg     
  inflating: testA/test/122_20.jpg   
  inflating: testA/test/493_11.jpg   
  inflating: testA/test/72_22.jpg    
  inflating: testA/test/80_11.jpg    
  inflating: testA/test/307_15.jpg   
  inflating: testA/test/480_12.jpg   
  inflating: testA/test/312_15.jpg   
  inflating: testA/test/112_4.jpg    
  inflating: testA/test/280_4.jpg    
  inflating: testA/test/362_4.jpg    
  inflating: testA/test/474_0.jpg    
  inflating: testA/test/151_19.jpg   
  inflating: testA/test/461_5.jpg    
  inflating: testA/test/340_12.jpg   
  inflating: testA/test/486_20.jpg   
  inflating: testA/test/280_23.jpg   
  inflating: testA/test/125_18.jpg   
  inflating: testA/test/301_23.jpg   
  inflating: testA/test/128_19.jpg   
  inflating: testA/test/206_1.jpg    
  inflating: testA/test/371_4.jpg    
  inflating: testA/test/23_4.jpg     
  inflating: testA/test/380_1.jpg    
  inflating: testA/test/495_4.jpg    
  inflating: testA/test/345_14.jpg   
  inflating: testA/test/348_18.jpg   
  inflating: testA/test/428_19.jpg   
  inflating: testA/test/166_9.jpg    
  inflating: testA/test/493_16.jpg   
  inflating: testA/test/416_18.jpg   
  inflating: testA/test/429_0.jpg    
  inflating: testA/test/408_21.jpg   
  inflating: testA/test/373_11.jpg   
  inflating: testA/test/413_5.jpg    
  inflating: testA/test/145_2.jpg    
  inflating: testA/test/283_5.jpg    
  inflating: testA/test/268_22.jpg   
  inflating: testA/test/63_14.jpg    
  inflating: testA/test/433_17.jpg   
  inflating: testA/test/434_6.jpg    
  inflating: testA/test/295_21.jpg   
  inflating: testA/test/113_2.jpg    
  inflating: testA/test/458_16.jpg   
  inflating: testA/test/5_7.jpg      
  inflating: testA/test/372_19.jpg   
  inflating: testA/test/79_21.jpg    
  inflating: testA/test/498_2.jpg    
  inflating: testA/test/15_12.jpg    
  inflating: testA/test/403_5.jpg    
  inflating: testA/test/124_3.jpg    
  inflating: testA/test/140_16.jpg   
  inflating: testA/test/361_7.jpg    
  inflating: testA/test/390_17.jpg   
  inflating: testA/test/179_21.jpg   
  inflating: testA/test/330_21.jpg   
  inflating: testA/test/448_0.jpg    
  inflating: testA/test/366_8.jpg    
  inflating: testA/test/4_11.jpg     
  inflating: testA/test/376_18.jpg   
  inflating: testA/test/411_16.jpg   
  inflating: testA/test/185_6.jpg    
  inflating: testA/test/421_4.jpg    
  inflating: testA/test/248_3.jpg    
  inflating: testA/test/78_4.jpg     
  inflating: testA/test/168_20.jpg   
  inflating: testA/test/431_5.jpg    
  inflating: testA/test/282_13.jpg   
  inflating: testA/test/308_19.jpg   
  inflating: testA/test/274_15.jpg   
  inflating: testA/test/11_8.jpg     
  inflating: testA/test/287_7.jpg    
  inflating: testA/test/98_17.jpg    
  inflating: testA/test/244_8.jpg    
  inflating: testA/test/29_18.jpg    
  inflating: testA/test/279_23.jpg   
  inflating: testA/test/394_23.jpg   
  inflating: testA/test/484_22.jpg   
  inflating: testA/test/141_21.jpg   
  inflating: testA/test/74_10.jpg    
  inflating: testA/test/63_19.jpg    
  inflating: testA/test/42_9.jpg     
  inflating: testA/test/155_15.jpg   
  inflating: testA/test/16_8.jpg     
  inflating: testA/test/223_1.jpg    
  inflating: testA/test/167_15.jpg   
  inflating: testA/test/126_20.jpg   
  inflating: testA/test/32_22.jpg    
  inflating: testA/test/379_3.jpg    
  inflating: testA/test/308_13.jpg   
  inflating: testA/test/96_6.jpg     
  inflating: testA/test/129_17.jpg   
  inflating: testA/test/461_10.jpg   
  inflating: testA/test/185_9.jpg    
  inflating: testA/test/281_9.jpg    
  inflating: testA/test/439_3.jpg    
  inflating: testA/test/135_22.jpg   
  inflating: testA/test/444_18.jpg   
  inflating: testA/test/239_8.jpg    
  inflating: testA/test/340_1.jpg    
  inflating: testA/test/412_8.jpg    
  inflating: testA/test/440_1.jpg    
  inflating: testA/test/174_14.jpg   
  inflating: testA/test/189_13.jpg   
  inflating: testA/test/255_15.jpg   
  inflating: testA/test/384_20.jpg   
  inflating: testA/test/415_13.jpg   
  inflating: testA/test/190_15.jpg   
  inflating: testA/test/80_5.jpg     
  inflating: testA/test/249_13.jpg   
  inflating: testA/test/303_7.jpg    
  inflating: testA/test/218_0.jpg    
  inflating: testA/test/463_5.jpg    
  inflating: testA/test/488_11.jpg   
  inflating: testA/test/400_1.jpg    
  inflating: testA/test/481_10.jpg   
  inflating: testA/test/146_6.jpg    
  inflating: testA/test/397_16.jpg   
  inflating: testA/test/484_6.jpg    
  inflating: testA/test/157_16.jpg   
  inflating: testA/test/103_23.jpg   
  inflating: testA/test/35_14.jpg    
  inflating: testA/test/356_6.jpg    
  inflating: testA/test/103_13.jpg   
  inflating: testA/test/273_18.jpg   
  inflating: testA/test/27_8.jpg     
  inflating: testA/test/109_12.jpg   
  inflating: testA/test/343_12.jpg   
  inflating: testA/test/299_15.jpg   
  inflating: testA/test/197_13.jpg   
  inflating: testA/test/396_23.jpg   
  inflating: testA/test/472_10.jpg   
  inflating: testA/test/223_12.jpg   
  inflating: testA/test/185_13.jpg   
  inflating: testA/test/292_21.jpg   
  inflating: testA/test/460_1.jpg    
  inflating: testA/test/152_0.jpg    
  inflating: testA/test/399_21.jpg   
  inflating: testA/test/470_6.jpg    
  inflating: testA/test/252_19.jpg   
  inflating: testA/test/426_17.jpg   
  inflating: testA/test/69_14.jpg    
  inflating: testA/test/324_12.jpg   
  inflating: testA/test/131_21.jpg   
  inflating: testA/test/418_15.jpg   
  inflating: testA/test/49_12.jpg    
  inflating: testA/test/331_21.jpg   
  inflating: testA/test/123_10.jpg   
  inflating: testA/test/422_10.jpg   
  inflating: testA/test/149_7.jpg    
  inflating: testA/test/135_13.jpg   
  inflating: testA/test/336_22.jpg   
  inflating: testA/test/412_7.jpg    
  inflating: testA/test/248_11.jpg   
  inflating: testA/test/304_0.jpg    
  inflating: testA/test/181_20.jpg   
  inflating: testA/test/185_11.jpg   
  inflating: testA/test/25_9.jpg     
  inflating: testA/test/429_11.jpg   
  inflating: testA/test/33_1.jpg     
  inflating: testA/test/388_22.jpg   
  inflating: testA/test/361_2.jpg    
  inflating: testA/test/9_14.jpg     
  inflating: testA/test/259_8.jpg    
  inflating: testA/test/380_18.jpg   
  inflating: testA/test/84_14.jpg    
  inflating: testA/test/114_8.jpg    
  inflating: testA/test/204_8.jpg    
  inflating: testA/test/145_21.jpg   
  inflating: testA/test/434_7.jpg    
  inflating: testA/test/78_13.jpg    
  inflating: testA/test/259_20.jpg   
  inflating: testA/test/251_21.jpg   
  inflating: testA/test/437_1.jpg    
  inflating: testA/test/52_15.jpg    
  inflating: testA/test/306_19.jpg   
  inflating: testA/test/70_18.jpg    
  inflating: testA/test/11_12.jpg    
  inflating: testA/test/347_19.jpg   
  inflating: testA/test/159_20.jpg   
  inflating: testA/test/344_19.jpg   
  inflating: testA/test/169_15.jpg   
  inflating: testA/test/496_3.jpg    
  inflating: testA/test/413_0.jpg    
  inflating: testA/test/193_22.jpg   
  inflating: testA/test/489_0.jpg    
  inflating: testA/test/40_1.jpg     
  inflating: testA/test/115_18.jpg   
  inflating: testA/test/22_18.jpg    
  inflating: testA/test/13_16.jpg    
  inflating: testA/test/190_19.jpg   
  inflating: testA/test/460_13.jpg   
  inflating: testA/test/275_15.jpg   
  inflating: testA/test/352_2.jpg    
  inflating: testA/test/236_0.jpg    
  inflating: testA/test/320_14.jpg   
  inflating: testA/test/295_0.jpg    
  inflating: testA/test/338_14.jpg   
  inflating: testA/test/255_16.jpg   
  inflating: testA/test/6_4.jpg      
  inflating: testA/test/410_21.jpg   
  inflating: testA/test/482_15.jpg   
  inflating: testA/test/423_2.jpg    
  inflating: testA/test/470_17.jpg   
  inflating: testA/test/196_23.jpg   
  inflating: testA/test/190_16.jpg   
  inflating: testA/test/2_12.jpg     
  inflating: testA/test/203_2.jpg    
  inflating: testA/test/329_2.jpg    
  inflating: testA/test/93_9.jpg     
  inflating: testA/test/180_23.jpg   
  inflating: testA/test/356_1.jpg    
  inflating: testA/test/237_8.jpg    
  inflating: testA/test/278_10.jpg   
  inflating: testA/test/40_19.jpg    
  inflating: testA/test/225_12.jpg   
  inflating: testA/test/233_6.jpg    
  inflating: testA/test/300_12.jpg   
  inflating: testA/test/453_12.jpg   
  inflating: testA/test/106_14.jpg   
  inflating: testA/test/251_3.jpg    
  inflating: testA/test/17_4.jpg     
  inflating: testA/test/437_0.jpg    
  inflating: testA/test/271_1.jpg    
  inflating: testA/test/93_10.jpg    
  inflating: testA/test/109_14.jpg   
  inflating: testA/test/208_21.jpg   
  inflating: testA/test/378_11.jpg   
  inflating: testA/test/329_5.jpg    
  inflating: testA/test/58_0.jpg     
  inflating: testA/test/83_13.jpg    
  inflating: testA/test/21_1.jpg     
  inflating: testA/test/427_5.jpg    
  inflating: testA/test/298_16.jpg   
  inflating: testA/test/295_2.jpg    
  inflating: testA/test/354_13.jpg   
  inflating: testA/test/88_6.jpg     
  inflating: testA/test/445_14.jpg   
  inflating: testA/test/417_21.jpg   
  inflating: testA/test/154_2.jpg    
  inflating: testA/test/168_5.jpg    
  inflating: testA/test/136_17.jpg   
  inflating: testA/test/156_4.jpg    
  inflating: testA/test/203_10.jpg   
  inflating: testA/test/136_12.jpg   
  inflating: testA/test/18_15.jpg    
  inflating: testA/test/425_7.jpg    
  inflating: testA/test/185_4.jpg    
  inflating: testA/test/355_3.jpg    
  inflating: testA/test/497_11.jpg   
  inflating: testA/test/116_22.jpg   
  inflating: testA/test/330_1.jpg    
  inflating: testA/test/331_8.jpg    
  inflating: testA/test/18_18.jpg    
  inflating: testA/test/198_20.jpg   
  inflating: testA/test/457_20.jpg   
  inflating: testA/test/87_8.jpg     
  inflating: testA/test/371_11.jpg   
  inflating: testA/test/26_11.jpg    
  inflating: testA/test/3_20.jpg     
  inflating: testA/test/153_0.jpg    
  inflating: testA/test/462_12.jpg   
  inflating: testA/test/307_3.jpg    
  inflating: testA/test/287_15.jpg   
  inflating: testA/test/462_17.jpg   
  inflating: testA/test/155_18.jpg   
  inflating: testA/test/1_2.jpg      
  inflating: testA/test/150_0.jpg    
  inflating: testA/test/76_9.jpg     
  inflating: testA/test/309_8.jpg    
  inflating: testA/test/212_2.jpg    
  inflating: testA/test/141_13.jpg   
  inflating: testA/test/478_18.jpg   
  inflating: testA/test/430_18.jpg   
  inflating: testA/test/86_0.jpg     
  inflating: testA/test/255_1.jpg    
  inflating: testA/test/217_22.jpg   
  inflating: testA/test/193_16.jpg   
  inflating: testA/test/273_15.jpg   
  inflating: testA/test/292_0.jpg    
  inflating: testA/test/302_7.jpg    
  inflating: testA/test/414_8.jpg    
  inflating: testA/test/201_1.jpg    
  inflating: testA/test/333_4.jpg    
  inflating: testA/test/389_21.jpg   
  inflating: testA/test/357_14.jpg   
  inflating: testA/test/455_8.jpg    
  inflating: testA/test/494_21.jpg   
  inflating: testA/test/152_2.jpg    
  inflating: testA/test/432_20.jpg   
  inflating: testA/test/124_5.jpg    
  inflating: testA/test/451_17.jpg   
  inflating: testA/test/234_7.jpg    
  inflating: testA/test/344_5.jpg    
  inflating: testA/test/456_16.jpg   
  inflating: testA/test/456_22.jpg   
  inflating: testA/test/90_22.jpg    
  inflating: testA/test/412_6.jpg    
  inflating: testA/test/232_7.jpg    
  inflating: testA/test/91_11.jpg    
  inflating: testA/test/352_0.jpg    
  inflating: testA/test/311_23.jpg   
  inflating: testA/test/283_3.jpg    
  inflating: testA/test/129_3.jpg    
  inflating: testA/test/146_13.jpg   
  inflating: testA/test/219_23.jpg   
  inflating: testA/test/363_2.jpg    
  inflating: testA/test/209_21.jpg   
  inflating: testA/test/239_9.jpg    
  inflating: testA/test/420_5.jpg    
  inflating: testA/test/418_2.jpg    
  inflating: testA/test/294_18.jpg   
  inflating: testA/test/339_9.jpg    
  inflating: testA/test/414_10.jpg   
  inflating: testA/test/32_0.jpg     
  inflating: testA/test/51_4.jpg     
  inflating: testA/test/275_21.jpg   
  inflating: testA/test/80_17.jpg    
  inflating: testA/test/131_10.jpg   
  inflating: testA/test/156_7.jpg    
  inflating: testA/test/349_18.jpg   
  inflating: testA/test/52_22.jpg    
  inflating: testA/test/406_15.jpg   
  inflating: testA/test/180_11.jpg   
  inflating: testA/test/483_0.jpg    
  inflating: testA/test/311_1.jpg    
  inflating: testA/test/435_15.jpg   
  inflating: testA/test/106_19.jpg   
  inflating: testA/test/105_18.jpg   
  inflating: testA/test/84_8.jpg     
  inflating: testA/test/266_14.jpg   
  inflating: testA/test/94_0.jpg     
  inflating: testA/test/95_13.jpg    
  inflating: testA/test/54_22.jpg    
  inflating: testA/test/114_23.jpg   
  inflating: testA/test/32_10.jpg    
  inflating: testA/test/117_3.jpg    
  inflating: testA/test/421_1.jpg    
  inflating: testA/test/151_21.jpg   
  inflating: testA/test/52_14.jpg    
  inflating: testA/test/34_14.jpg    
  inflating: testA/test/149_21.jpg   
  inflating: testA/test/46_21.jpg    
  inflating: testA/test/345_13.jpg   
  inflating: testA/test/1_16.jpg     
  inflating: testA/test/334_19.jpg   
  inflating: testA/test/135_5.jpg    
  inflating: testA/test/354_21.jpg   
  inflating: testA/test/327_1.jpg    
  inflating: testA/test/157_6.jpg    
  inflating: testA/test/8_16.jpg     
  inflating: testA/test/179_5.jpg    
  inflating: testA/test/208_12.jpg   
  inflating: testA/test/458_5.jpg    
  inflating: testA/test/394_2.jpg    
  inflating: testA/test/118_9.jpg    
  inflating: testA/test/49_10.jpg    
  inflating: testA/test/433_21.jpg   
  inflating: testA/test/296_14.jpg   
  inflating: testA/test/95_22.jpg    
  inflating: testA/test/44_11.jpg    
  inflating: testA/test/57_18.jpg    
  inflating: testA/test/207_5.jpg    
  inflating: testA/test/103_17.jpg   
  inflating: testA/test/154_16.jpg   
  inflating: testA/test/192_10.jpg   
  inflating: testA/test/128_3.jpg    
  inflating: testA/test/169_17.jpg   
  inflating: testA/test/49_16.jpg    
  inflating: testA/test/59_4.jpg     
  inflating: testA/test/376_8.jpg    
  inflating: testA/test/174_21.jpg   
  inflating: testA/test/103_4.jpg    
  inflating: testA/test/299_16.jpg   
  inflating: testA/test/401_9.jpg    
  inflating: testA/test/311_12.jpg   
  inflating: testA/test/431_2.jpg    
  inflating: testA/test/119_16.jpg   
  inflating: testA/test/163_20.jpg   
  inflating: testA/test/353_18.jpg   
  inflating: testA/test/411_8.jpg    
  inflating: testA/test/108_1.jpg    
  inflating: testA/test/471_20.jpg   
  inflating: testA/test/294_20.jpg   
  inflating: testA/test/493_1.jpg    
  inflating: testA/test/165_2.jpg    
  inflating: testA/test/331_18.jpg   
  inflating: testA/test/255_23.jpg   
  inflating: testA/test/488_16.jpg   
  inflating: testA/test/453_21.jpg   
  inflating: testA/test/365_15.jpg   
  inflating: testA/test/205_17.jpg   
  inflating: testA/test/186_5.jpg    
  inflating: testA/test/276_6.jpg    
  inflating: testA/test/166_14.jpg   
  inflating: testA/test/449_23.jpg   
  inflating: testA/test/341_1.jpg    
  inflating: testA/test/425_3.jpg    
  inflating: testA/test/244_4.jpg    
  inflating: testA/test/284_3.jpg    
  inflating: testA/test/167_13.jpg   
  inflating: testA/test/206_3.jpg    
  inflating: testA/test/300_8.jpg    
  inflating: testA/test/285_18.jpg   
  inflating: testA/test/29_6.jpg     
  inflating: testA/test/186_22.jpg   
  inflating: testA/test/177_14.jpg   
  inflating: testA/test/372_5.jpg    
  inflating: testA/test/219_13.jpg   
  inflating: testA/test/428_20.jpg   
  inflating: testA/test/167_10.jpg   
  inflating: testA/test/27_17.jpg    
  inflating: testA/test/273_4.jpg    
  inflating: testA/test/226_5.jpg    
  inflating: testA/test/240_21.jpg   
  inflating: testA/test/49_19.jpg    
  inflating: testA/test/8_8.jpg      
  inflating: testA/test/242_8.jpg    
  inflating: testA/test/210_21.jpg   
  inflating: testA/test/409_19.jpg   
  inflating: testA/test/308_16.jpg   
  inflating: testA/test/137_17.jpg   
  inflating: testA/test/275_16.jpg   
  inflating: testA/test/499_4.jpg    
  inflating: testA/test/470_12.jpg   
  inflating: testA/test/368_4.jpg    
  inflating: testA/test/32_14.jpg    
  inflating: testA/test/418_0.jpg    
  inflating: testA/test/381_9.jpg    
  inflating: testA/test/498_5.jpg    
  inflating: testA/test/220_0.jpg    
  inflating: testA/test/86_14.jpg    
  inflating: testA/test/312_17.jpg   
  inflating: testA/test/235_3.jpg    
  inflating: testA/test/404_0.jpg    
  inflating: testA/test/417_0.jpg    
  inflating: testA/test/334_17.jpg   
  inflating: testA/test/381_2.jpg    
  inflating: testA/test/242_2.jpg    
  inflating: testA/test/489_1.jpg    
  inflating: testA/test/325_9.jpg    
  inflating: testA/test/321_7.jpg    
  inflating: testA/test/465_13.jpg   
  inflating: testA/test/108_13.jpg   
  inflating: testA/test/156_12.jpg   
  inflating: testA/test/105_22.jpg   
  inflating: testA/test/239_5.jpg    
  inflating: testA/test/429_22.jpg   
  inflating: testA/test/167_6.jpg    
  inflating: testA/test/258_12.jpg   
  inflating: testA/test/390_16.jpg   
  inflating: testA/test/66_20.jpg    
  inflating: testA/test/304_14.jpg   
  inflating: testA/test/280_6.jpg    
  inflating: testA/test/359_21.jpg   
  inflating: testA/test/139_11.jpg   
  inflating: testA/test/15_14.jpg    
  inflating: testA/test/476_2.jpg    
  inflating: testA/test/421_17.jpg   
  inflating: testA/test/48_4.jpg     
  inflating: testA/test/259_13.jpg   
  inflating: testA/test/367_7.jpg    
  inflating: testA/test/24_20.jpg    
  inflating: testA/test/131_1.jpg    
  inflating: testA/test/236_15.jpg   
  inflating: testA/test/253_5.jpg    
  inflating: testA/test/17_20.jpg    
  inflating: testA/test/488_1.jpg    
  inflating: testA/test/26_22.jpg    
  inflating: testA/test/433_3.jpg    
  inflating: testA/test/345_15.jpg   
  inflating: testA/test/233_7.jpg    
  inflating: testA/test/306_1.jpg    
  inflating: testA/test/298_23.jpg   
  inflating: testA/test/239_4.jpg    
  inflating: testA/test/202_2.jpg    
  inflating: testA/test/61_5.jpg     
  inflating: testA/test/274_19.jpg   
  inflating: testA/test/66_17.jpg    
  inflating: testA/test/463_10.jpg   
  inflating: testA/test/400_13.jpg   
  inflating: testA/test/250_21.jpg   
  inflating: testA/test/498_3.jpg    
  inflating: testA/test/211_15.jpg   
  inflating: testA/test/245_12.jpg   
  inflating: testA/test/407_23.jpg   
  inflating: testA/test/269_19.jpg   
  inflating: testA/test/283_17.jpg   
  inflating: testA/test/443_14.jpg   
  inflating: testA/test/16_1.jpg     
  inflating: testA/test/190_7.jpg    
  inflating: testA/test/341_11.jpg   
  inflating: testA/test/230_12.jpg   
  inflating: testA/test/201_18.jpg   
  inflating: testA/test/89_12.jpg    
  inflating: testA/test/241_1.jpg    
  inflating: testA/test/384_17.jpg   
  inflating: testA/test/112_2.jpg    
  inflating: testA/test/136_18.jpg   
  inflating: testA/test/477_16.jpg   
  inflating: testA/test/33_20.jpg    
  inflating: testA/test/387_15.jpg   
  inflating: testA/test/80_6.jpg     
  inflating: testA/test/302_2.jpg    
  inflating: testA/test/389_4.jpg    
  inflating: testA/test/391_2.jpg    
  inflating: testA/test/112_10.jpg   
  inflating: testA/test/481_7.jpg    
  inflating: testA/test/44_23.jpg    
  inflating: testA/test/234_0.jpg    
  inflating: testA/test/243_10.jpg   
  inflating: testA/test/10_18.jpg    
  inflating: testA/test/418_19.jpg   
  inflating: testA/test/173_2.jpg    
  inflating: testA/test/390_22.jpg   
  inflating: testA/test/302_5.jpg    
  inflating: testA/test/227_0.jpg    
  inflating: testA/test/454_22.jpg   
  inflating: testA/test/458_2.jpg    
  inflating: testA/test/422_16.jpg   
  inflating: testA/test/345_2.jpg    
  inflating: testA/test/2_0.jpg      
  inflating: testA/test/37_5.jpg     
  inflating: testA/test/426_5.jpg    
  inflating: testA/test/483_16.jpg   
  inflating: testA/test/189_5.jpg    
  inflating: testA/test/143_22.jpg   
  inflating: testA/test/304_11.jpg   
  inflating: testA/test/294_8.jpg    
  inflating: testA/test/260_12.jpg   
  inflating: testA/test/6_19.jpg     
  inflating: testA/test/240_8.jpg    
  inflating: testA/test/215_6.jpg    
  inflating: testA/test/258_17.jpg   
  inflating: testA/test/342_23.jpg   
  inflating: testA/test/401_19.jpg   
  inflating: testA/test/266_7.jpg    
  inflating: testA/test/465_14.jpg   
  inflating: testA/test/321_20.jpg   
  inflating: testA/test/88_0.jpg     
  inflating: testA/test/44_12.jpg    
  inflating: testA/test/346_7.jpg    
  inflating: testA/test/149_12.jpg   
  inflating: testA/test/495_21.jpg   
  inflating: testA/test/343_4.jpg    
  inflating: testA/test/193_6.jpg    
  inflating: testA/test/450_16.jpg   
  inflating: testA/test/317_19.jpg   
  inflating: testA/test/441_19.jpg   
  inflating: testA/test/315_9.jpg    
  inflating: testA/test/396_0.jpg    
  inflating: testA/test/64_7.jpg     
  inflating: testA/test/406_18.jpg   
  inflating: testA/test/303_5.jpg    
  inflating: testA/test/480_8.jpg    
  inflating: testA/test/137_10.jpg   
  inflating: testA/test/91_0.jpg     
  inflating: testA/test/166_20.jpg   
  inflating: testA/test/366_11.jpg   
  inflating: testA/test/302_14.jpg   
  inflating: testA/test/461_16.jpg   
  inflating: testA/test/200_10.jpg   
  inflating: testA/test/212_5.jpg    
  inflating: testA/test/95_21.jpg    
  inflating: testA/test/357_13.jpg   
  inflating: testA/test/311_19.jpg   
  inflating: testA/test/404_2.jpg    
  inflating: testA/test/424_18.jpg   
  inflating: testA/test/54_15.jpg    
  inflating: testA/test/198_3.jpg    
  inflating: testA/test/274_9.jpg    
  inflating: testA/test/455_10.jpg   
  inflating: testA/test/237_10.jpg   
  inflating: testA/test/489_18.jpg   
  inflating: testA/test/59_3.jpg     
  inflating: testA/test/348_0.jpg    
  inflating: testA/test/162_6.jpg    
  inflating: testA/test/313_1.jpg    
  inflating: testA/test/216_9.jpg    
  inflating: testA/test/282_22.jpg   
  inflating: testA/test/487_4.jpg    
  inflating: testA/test/488_15.jpg   
  inflating: testA/test/89_15.jpg    
  inflating: testA/test/328_13.jpg   
  inflating: testA/test/247_11.jpg   
  inflating: testA/test/468_2.jpg    
  inflating: testA/test/214_0.jpg    
  inflating: testA/test/367_10.jpg   
  inflating: testA/test/3_11.jpg     
  inflating: testA/test/8_17.jpg     
  inflating: testA/test/82_18.jpg    
  inflating: testA/test/325_3.jpg    
  inflating: testA/test/441_0.jpg    
  inflating: testA/test/380_12.jpg   
  inflating: testA/test/425_18.jpg   
  inflating: testA/test/20_5.jpg     
  inflating: testA/test/203_13.jpg   
  inflating: testA/test/138_17.jpg   
  inflating: testA/test/184_11.jpg   
  inflating: testA/test/249_2.jpg    
  inflating: testA/test/404_11.jpg   
  inflating: testA/test/499_17.jpg   
  inflating: testA/test/221_1.jpg    
  inflating: testA/test/333_2.jpg    
  inflating: testA/test/122_9.jpg    
  inflating: testA/test/125_17.jpg   
  inflating: testA/test/339_1.jpg    
  inflating: testA/test/408_23.jpg   
  inflating: testA/test/254_3.jpg    
  inflating: testA/test/359_2.jpg    
  inflating: testA/test/173_23.jpg   
  inflating: testA/test/433_2.jpg    
  inflating: testA/test/60_0.jpg     
  inflating: testA/test/255_20.jpg   
  inflating: testA/test/376_7.jpg    
  inflating: testA/test/240_5.jpg    
  inflating: testA/test/112_19.jpg   
  inflating: testA/test/295_11.jpg   
  inflating: testA/test/13_1.jpg     
  inflating: testA/test/122_23.jpg   
  inflating: testA/test/393_16.jpg   
  inflating: testA/test/194_23.jpg   
  inflating: testA/test/397_2.jpg    
  inflating: testA/test/332_20.jpg   
  inflating: testA/test/317_20.jpg   
  inflating: testA/test/361_23.jpg   
  inflating: testA/test/213_15.jpg   
  inflating: testA/test/445_16.jpg   
  inflating: testA/test/81_15.jpg    
  inflating: testA/test/338_1.jpg    
  inflating: testA/test/125_22.jpg   
  inflating: testA/test/125_10.jpg   
  inflating: testA/test/208_10.jpg   
  inflating: testA/test/325_14.jpg   
  inflating: testA/test/99_21.jpg    
  inflating: testA/test/96_11.jpg    
  inflating: testA/test/498_21.jpg   
  inflating: testA/test/215_5.jpg    
  inflating: testA/test/155_3.jpg    
  inflating: testA/test/330_20.jpg   
  inflating: testA/test/342_4.jpg    
  inflating: testA/test/378_4.jpg    
  inflating: testA/test/254_8.jpg    
  inflating: testA/test/14_17.jpg    
  inflating: testA/test/139_23.jpg   
  inflating: testA/test/98_12.jpg    
  inflating: testA/test/269_17.jpg   
  inflating: testA/test/301_17.jpg   
  inflating: testA/test/480_19.jpg   
  inflating: testA/test/462_23.jpg   
  inflating: testA/test/227_1.jpg    
  inflating: testA/test/221_20.jpg   
  inflating: testA/test/126_2.jpg    
  inflating: testA/test/443_21.jpg   
  inflating: testA/test/113_16.jpg   
  inflating: testA/test/499_21.jpg   
  inflating: testA/test/352_23.jpg   
  inflating: testA/test/221_4.jpg    
  inflating: testA/test/147_7.jpg    
  inflating: testA/test/432_1.jpg    
  inflating: testA/test/212_14.jpg   
  inflating: testA/test/131_20.jpg   
  inflating: testA/test/160_23.jpg   
  inflating: testA/test/494_4.jpg    
  inflating: testA/test/356_13.jpg   
  inflating: testA/test/46_7.jpg     
  inflating: testA/test/227_15.jpg   
  inflating: testA/test/326_3.jpg    
  inflating: testA/test/278_19.jpg   
  inflating: testA/test/23_7.jpg     
  inflating: testA/test/398_23.jpg   
  inflating: testA/test/219_22.jpg   
  inflating: testA/test/218_13.jpg   
  inflating: testA/test/181_2.jpg    
  inflating: testA/test/431_17.jpg   
  inflating: testA/test/267_4.jpg    
  inflating: testA/test/32_23.jpg    
  inflating: testA/test/235_9.jpg    
  inflating: testA/test/144_2.jpg    
  inflating: testA/test/379_20.jpg   
  inflating: testA/test/298_10.jpg   
  inflating: testA/test/7_4.jpg      
  inflating: testA/test/192_5.jpg    
  inflating: testA/test/110_7.jpg    
  inflating: testA/test/21_2.jpg     
  inflating: testA/test/39_8.jpg     
  inflating: testA/test/214_21.jpg   
  inflating: testA/test/328_10.jpg   
  inflating: testA/test/219_12.jpg   
  inflating: testA/test/487_11.jpg   
  inflating: testA/test/295_20.jpg   
  inflating: testA/test/206_14.jpg   
  inflating: testA/test/373_0.jpg    
  inflating: testA/test/378_14.jpg   
  inflating: testA/test/181_18.jpg   
  inflating: testA/test/331_1.jpg    
  inflating: testA/test/154_9.jpg    
  inflating: testA/test/287_9.jpg    
  inflating: testA/test/169_4.jpg    
  inflating: testA/test/160_5.jpg    
  inflating: testA/test/255_17.jpg   
  inflating: testA/test/230_23.jpg   
  inflating: testA/test/36_23.jpg    
  inflating: testA/test/360_15.jpg   
  inflating: testA/test/315_17.jpg   
  inflating: testA/test/462_14.jpg   
  inflating: testA/test/349_23.jpg   
  inflating: testA/test/52_18.jpg    
  inflating: testA/test/498_10.jpg   
  inflating: testA/test/121_4.jpg    
  inflating: testA/test/139_2.jpg    
  inflating: testA/test/124_7.jpg    
  inflating: testA/test/379_1.jpg    
  inflating: testA/test/298_17.jpg   
  inflating: testA/test/394_17.jpg   
  inflating: testA/test/478_19.jpg   
  inflating: testA/test/471_15.jpg   
  inflating: testA/test/216_3.jpg    
  inflating: testA/test/112_17.jpg   
  inflating: testA/test/100_7.jpg    
  inflating: testA/test/320_6.jpg    
  inflating: testA/test/74_3.jpg     
  inflating: testA/test/494_17.jpg   
  inflating: testA/test/238_19.jpg   
  inflating: testA/test/222_0.jpg    
  inflating: testA/test/344_4.jpg    
  inflating: testA/test/277_0.jpg    
  inflating: testA/test/203_22.jpg   
  inflating: testA/test/23_11.jpg    
  inflating: testA/test/128_21.jpg   
  inflating: testA/test/144_18.jpg   
  inflating: testA/test/184_9.jpg    
  inflating: testA/test/380_8.jpg    
  inflating: testA/test/53_13.jpg    
  inflating: testA/test/326_8.jpg    
  inflating: testA/test/190_17.jpg   
  inflating: testA/test/318_17.jpg   
  inflating: testA/test/256_21.jpg   
  inflating: testA/test/364_20.jpg   
  inflating: testA/test/457_15.jpg   
  inflating: testA/test/21_4.jpg     
  inflating: testA/test/68_22.jpg    
  inflating: testA/test/397_23.jpg   
  inflating: testA/test/279_12.jpg   
  inflating: testA/test/22_10.jpg    
  inflating: testA/test/151_11.jpg   
  inflating: testA/test/385_5.jpg    
  inflating: testA/test/367_6.jpg    
  inflating: testA/test/23_19.jpg    
  inflating: testA/test/350_13.jpg   
  inflating: testA/test/208_2.jpg    
  inflating: testA/test/366_14.jpg   
  inflating: testA/test/219_6.jpg    
  inflating: testA/test/481_1.jpg    
  inflating: testA/test/185_17.jpg   
  inflating: testA/test/203_16.jpg   
  inflating: testA/test/288_15.jpg   
  inflating: testA/test/139_22.jpg   
  inflating: testA/test/340_8.jpg    
  inflating: testA/test/267_13.jpg   
  inflating: testA/test/356_2.jpg    
  inflating: testA/test/443_16.jpg   
  inflating: testA/test/386_8.jpg    
  inflating: testA/test/478_2.jpg    
  inflating: testA/test/161_16.jpg   
  inflating: testA/test/139_14.jpg   
  inflating: testA/test/182_7.jpg    
  inflating: testA/test/338_0.jpg    
  inflating: testA/test/205_10.jpg   
  inflating: testA/test/64_11.jpg    
  inflating: testA/test/188_7.jpg    
  inflating: testA/test/199_3.jpg    
  inflating: testA/test/68_10.jpg    
  inflating: testA/test/187_8.jpg    
  inflating: testA/test/471_2.jpg    
  inflating: testA/test/0_10.jpg     
  inflating: testA/test/297_8.jpg    
  inflating: testA/test/43_4.jpg     
  inflating: testA/test/285_17.jpg   
  inflating: testA/test/426_14.jpg   
  inflating: testA/test/274_0.jpg    
  inflating: testA/test/326_16.jpg   
  inflating: testA/test/62_18.jpg    
  inflating: testA/test/397_12.jpg   
  inflating: testA/test/99_9.jpg     
  inflating: testA/test/486_2.jpg    
  inflating: testA/test/183_8.jpg    
  inflating: testA/test/248_13.jpg   
  inflating: testA/test/175_9.jpg    
  inflating: testA/test/424_11.jpg   
  inflating: testA/test/111_13.jpg   
  inflating: testA/test/395_17.jpg   
  inflating: testA/test/56_17.jpg    
  inflating: testA/test/391_0.jpg    
  inflating: testA/test/405_7.jpg    
  inflating: testA/test/449_18.jpg   
  inflating: testA/test/186_18.jpg   
  inflating: testA/test/324_1.jpg    
  inflating: testA/test/223_23.jpg   
  inflating: testA/test/415_12.jpg   
  inflating: testA/test/113_1.jpg    
  inflating: testA/test/273_22.jpg   
  inflating: testA/test/198_2.jpg    
  inflating: testA/test/318_5.jpg    
  inflating: testA/test/389_17.jpg   
  inflating: testA/test/183_0.jpg    
  inflating: testA/test/81_5.jpg     
  inflating: testA/test/221_0.jpg    
  inflating: testA/test/148_3.jpg    
  inflating: testA/test/108_6.jpg    
  inflating: testA/test/15_18.jpg    
  inflating: testA/test/299_18.jpg   
  inflating: testA/test/260_13.jpg   
  inflating: testA/test/362_14.jpg   
  inflating: testA/test/490_11.jpg   
  inflating: testA/test/135_10.jpg   
  inflating: testA/test/16_23.jpg    
  inflating: testA/test/322_2.jpg    
  inflating: testA/test/231_17.jpg   
  inflating: testA/test/214_22.jpg   
  inflating: testA/test/357_9.jpg    
  inflating: testA/test/126_7.jpg    
  inflating: testA/test/405_17.jpg   
  inflating: testA/test/401_6.jpg    
  inflating: testA/test/485_16.jpg   
  inflating: testA/test/375_23.jpg   
  inflating: testA/test/454_9.jpg    
  inflating: testA/test/401_14.jpg   
  inflating: testA/test/126_9.jpg    
  inflating: testA/test/113_10.jpg   
  inflating: testA/test/321_3.jpg    
  inflating: testA/test/122_22.jpg   
  inflating: testA/test/95_18.jpg    
  inflating: testA/test/85_22.jpg    
  inflating: testA/test/231_9.jpg    
  inflating: testA/test/270_13.jpg   
  inflating: testA/test/447_5.jpg    
  inflating: testA/test/453_7.jpg    
  inflating: testA/test/285_2.jpg    
  inflating: testA/test/273_12.jpg   
  inflating: testA/test/217_23.jpg   
  inflating: testA/test/258_0.jpg    
  inflating: testA/test/41_2.jpg     
  inflating: testA/test/13_10.jpg    
  inflating: testA/test/51_12.jpg    
  inflating: testA/test/283_14.jpg   
  inflating: testA/test/257_19.jpg   
  inflating: testA/test/6_11.jpg     
  inflating: testA/test/418_4.jpg    
  inflating: testA/test/55_19.jpg    
  inflating: testA/test/407_1.jpg    
  inflating: testA/test/86_15.jpg    
  inflating: testA/test/149_17.jpg   
  inflating: testA/test/267_12.jpg   
  inflating: testA/test/251_22.jpg   
  inflating: testA/test/148_11.jpg   
  inflating: testA/test/416_4.jpg    
  inflating: testA/test/285_0.jpg    
  inflating: testA/test/417_18.jpg   
  inflating: testA/test/177_3.jpg    
  inflating: testA/test/271_4.jpg    
  inflating: testA/test/387_7.jpg    
  inflating: testA/test/205_1.jpg    
  inflating: testA/test/452_6.jpg    
  inflating: testA/test/263_23.jpg   
  inflating: testA/test/0_23.jpg     
  inflating: testA/test/55_14.jpg    
  inflating: testA/test/43_13.jpg    
  inflating: testA/test/436_10.jpg   
  inflating: testA/test/237_11.jpg   
  inflating: testA/test/193_17.jpg   
  inflating: testA/test/321_5.jpg    
  inflating: testA/test/75_16.jpg    
  inflating: testA/test/33_11.jpg    
  inflating: testA/test/119_2.jpg    
  inflating: testA/test/326_4.jpg    
  inflating: testA/test/230_19.jpg   
  inflating: testA/test/228_12.jpg   
  inflating: testA/test/485_22.jpg   
  inflating: testA/test/351_23.jpg   
  inflating: testA/test/16_15.jpg    
  inflating: testA/test/453_10.jpg   
  inflating: testA/test/318_20.jpg   
  inflating: testA/test/301_13.jpg   
  inflating: testA/test/207_22.jpg   
  inflating: testA/test/34_0.jpg     
  inflating: testA/test/477_21.jpg   
  inflating: testA/test/14_2.jpg     
  inflating: testA/test/414_11.jpg   
  inflating: testA/test/314_21.jpg   
  inflating: testA/test/348_2.jpg    
  inflating: testA/test/2_5.jpg      
  inflating: testA/test/110_19.jpg   
  inflating: testA/test/98_11.jpg    
  inflating: testA/test/319_2.jpg    
  inflating: testA/test/150_18.jpg   
  inflating: testA/test/452_13.jpg   
  inflating: testA/test/301_9.jpg    
  inflating: testA/test/332_7.jpg    
  inflating: testA/test/81_20.jpg    
  inflating: testA/test/331_2.jpg    
  inflating: testA/test/199_12.jpg   
  inflating: testA/test/27_0.jpg     
  inflating: testA/test/114_22.jpg   
  inflating: testA/test/446_6.jpg    
  inflating: testA/test/82_17.jpg    
  inflating: testA/test/78_2.jpg     
  inflating: testA/test/77_18.jpg    
  inflating: testA/test/242_5.jpg    
  inflating: testA/test/194_18.jpg   
  inflating: testA/test/249_20.jpg   
  inflating: testA/test/42_23.jpg    
  inflating: testA/test/138_2.jpg    
  inflating: testA/test/303_11.jpg   
  inflating: testA/test/431_21.jpg   
  inflating: testA/test/95_11.jpg    
  inflating: testA/test/14_9.jpg     
  inflating: testA/test/487_22.jpg   
  inflating: testA/test/440_17.jpg   
  inflating: testA/test/203_4.jpg    
  inflating: testA/test/499_8.jpg    
  inflating: testA/test/291_16.jpg   
  inflating: testA/test/75_3.jpg     
  inflating: testA/test/49_0.jpg     
  inflating: testA/test/223_4.jpg    
  inflating: testA/test/306_9.jpg    
  inflating: testA/test/131_18.jpg   
  inflating: testA/test/451_12.jpg   
  inflating: testA/test/113_15.jpg   
  inflating: testA/test/174_12.jpg   
  inflating: testA/test/284_13.jpg   
  inflating: testA/test/449_15.jpg   
  inflating: testA/test/254_21.jpg   
  inflating: testA/test/9_3.jpg      
  inflating: testA/test/10_14.jpg    
  inflating: testA/test/186_12.jpg   
  inflating: testA/test/450_10.jpg   
  inflating: testA/test/390_12.jpg   
  inflating: testA/test/362_10.jpg   
  inflating: testA/test/173_3.jpg    
  inflating: testA/test/66_1.jpg     
  inflating: testA/test/317_13.jpg   
  inflating: testA/test/369_22.jpg   
  inflating: testA/test/69_17.jpg    
  inflating: testA/test/423_21.jpg   
  inflating: testA/test/270_8.jpg    
  inflating: testA/test/445_1.jpg    
  inflating: testA/test/23_15.jpg    
  inflating: testA/test/468_5.jpg    
  inflating: testA/test/309_3.jpg    
  inflating: testA/test/150_13.jpg   
  inflating: testA/test/337_8.jpg    
  inflating: testA/test/236_21.jpg   
  inflating: testA/test/99_18.jpg    
  inflating: testA/test/162_9.jpg    
  inflating: testA/test/268_18.jpg   
  inflating: testA/test/251_1.jpg    
  inflating: testA/test/364_9.jpg    
  inflating: testA/test/75_9.jpg     
  inflating: testA/test/258_13.jpg   
  inflating: testA/test/100_19.jpg   
  inflating: testA/test/142_21.jpg   
  inflating: testA/test/404_12.jpg   
  inflating: testA/test/275_13.jpg   
  inflating: testA/test/164_2.jpg    
  inflating: testA/test/449_19.jpg   
  inflating: testA/test/139_16.jpg   
  inflating: testA/test/145_4.jpg    
  inflating: testA/test/41_15.jpg    
  inflating: testA/test/198_13.jpg   
  inflating: testA/test/448_3.jpg    
  inflating: testA/test/122_15.jpg   
  inflating: testA/test/311_17.jpg   
  inflating: testA/test/163_8.jpg    
  inflating: testA/test/189_22.jpg   
  inflating: testA/test/30_23.jpg    
  inflating: testA/test/403_15.jpg   
  inflating: testA/test/493_21.jpg   
  inflating: testA/test/373_13.jpg   
  inflating: testA/test/280_3.jpg    
  inflating: testA/test/116_1.jpg    
  inflating: testA/test/337_13.jpg   
  inflating: testA/test/316_6.jpg    
  inflating: testA/test/421_8.jpg    
  inflating: testA/test/174_8.jpg    
  inflating: testA/test/266_20.jpg   
  inflating: testA/test/351_0.jpg    
  inflating: testA/test/243_22.jpg   
  inflating: testA/test/88_7.jpg     
  inflating: testA/test/263_14.jpg   
  inflating: testA/test/492_16.jpg   
  inflating: testA/test/244_23.jpg   
  inflating: testA/test/13_0.jpg     
  inflating: testA/test/440_20.jpg   
  inflating: testA/test/60_15.jpg    
  inflating: testA/test/93_1.jpg     
  inflating: testA/test/242_21.jpg   
  inflating: testA/test/203_12.jpg   
  inflating: testA/test/374_11.jpg   
  inflating: testA/test/470_5.jpg    
  inflating: testA/test/117_14.jpg   
  inflating: testA/test/293_23.jpg   
  inflating: testA/test/188_4.jpg    
  inflating: testA/test/82_16.jpg    
  inflating: testA/test/82_14.jpg    
  inflating: testA/test/389_3.jpg    
  inflating: testA/test/455_2.jpg    
  inflating: testA/test/346_5.jpg    
  inflating: testA/test/92_8.jpg     
  inflating: testA/test/126_11.jpg   
  inflating: testA/test/494_22.jpg   
  inflating: testA/test/182_10.jpg   
  inflating: testA/test/423_10.jpg   
  inflating: testA/test/439_20.jpg   
  inflating: testA/test/85_13.jpg    
  inflating: testA/test/148_13.jpg   
  inflating: testA/test/133_0.jpg    
  inflating: testA/test/36_3.jpg     
  inflating: testA/test/348_13.jpg   
  inflating: testA/test/74_12.jpg    
  inflating: testA/test/372_12.jpg   
  inflating: testA/test/60_8.jpg     
  inflating: testA/test/406_6.jpg    
  inflating: testA/test/488_20.jpg   
  inflating: testA/test/79_14.jpg    
  inflating: testA/test/146_9.jpg    
  inflating: testA/test/124_23.jpg   
  inflating: testA/test/197_19.jpg   
  inflating: testA/test/334_20.jpg   
  inflating: testA/test/219_1.jpg    
  inflating: testA/test/158_1.jpg    
  inflating: testA/test/205_20.jpg   
  inflating: testA/test/126_12.jpg   
  inflating: testA/test/274_11.jpg   
  inflating: testA/test/199_9.jpg    
  inflating: testA/test/248_4.jpg    
  inflating: testA/test/249_4.jpg    
  inflating: testA/test/68_19.jpg    
  inflating: testA/test/75_13.jpg    
  inflating: testA/test/84_21.jpg    
  inflating: testA/test/404_5.jpg    
  inflating: testA/test/442_4.jpg    
  inflating: testA/test/123_21.jpg   
  inflating: testA/test/53_10.jpg    
  inflating: testA/test/337_21.jpg   
  inflating: testA/test/65_15.jpg    
  inflating: testA/test/31_11.jpg    
  inflating: testA/test/103_10.jpg   
  inflating: testA/test/350_3.jpg    
  inflating: testA/test/405_16.jpg   
  inflating: testA/test/7_22.jpg     
  inflating: testA/test/417_5.jpg    
  inflating: testA/test/387_6.jpg    
  inflating: testA/test/54_19.jpg    
  inflating: testA/test/175_15.jpg   
  inflating: testA/test/104_21.jpg   
  inflating: testA/test/2_18.jpg     
  inflating: testA/test/301_16.jpg   
  inflating: testA/test/467_1.jpg    
  inflating: testA/test/168_8.jpg    
  inflating: testA/test/476_6.jpg    
  inflating: testA/test/225_9.jpg    
  inflating: testA/test/234_18.jpg   
  inflating: testA/test/105_15.jpg   
  inflating: testA/test/153_2.jpg    
  inflating: testA/test/482_13.jpg   
  inflating: testA/test/141_8.jpg    
  inflating: testA/test/28_13.jpg    
  inflating: testA/test/306_17.jpg   
  inflating: testA/test/269_18.jpg   
  inflating: testA/test/317_17.jpg   
  inflating: testA/test/132_20.jpg   
  inflating: testA/test/290_19.jpg   
  inflating: testA/test/99_13.jpg    
  inflating: testA/test/132_12.jpg   
  inflating: testA/test/453_0.jpg    
  inflating: testA/test/402_23.jpg   
  inflating: testA/test/215_21.jpg   
  inflating: testA/test/170_12.jpg   
  inflating: testA/test/97_8.jpg     
  inflating: testA/test/138_0.jpg    
  inflating: testA/test/242_10.jpg   
  inflating: testA/test/405_3.jpg    
  inflating: testA/test/390_19.jpg   
  inflating: testA/test/468_13.jpg   
  inflating: testA/test/231_4.jpg    
  inflating: testA/test/498_18.jpg   
  inflating: testA/test/298_21.jpg   
  inflating: testA/test/296_13.jpg   
  inflating: testA/test/52_2.jpg     
  inflating: testA/test/298_22.jpg   
  inflating: testA/test/444_7.jpg    
  inflating: testA/test/224_18.jpg   
  inflating: testA/test/452_3.jpg    
  inflating: testA/test/72_15.jpg    
  inflating: testA/test/103_11.jpg   
  inflating: testA/test/281_13.jpg   
  inflating: testA/test/107_15.jpg   
  inflating: testA/test/108_5.jpg    
  inflating: testA/test/115_9.jpg    
  inflating: testA/test/214_20.jpg   
  inflating: testA/test/229_9.jpg    
  inflating: testA/test/479_9.jpg    
  inflating: testA/test/8_11.jpg     
  inflating: testA/test/315_19.jpg   
  inflating: testA/test/98_8.jpg     
  inflating: testA/test/91_18.jpg    
  inflating: testA/test/64_1.jpg     
  inflating: testA/test/397_13.jpg   
  inflating: testA/test/196_12.jpg   
  inflating: testA/test/347_21.jpg   
  inflating: testA/test/477_1.jpg    
  inflating: testA/test/489_8.jpg    
  inflating: testA/test/39_5.jpg     
  inflating: testA/test/269_6.jpg    
  inflating: testA/test/432_13.jpg   
  inflating: testA/test/496_2.jpg    
  inflating: testA/test/28_20.jpg    
  inflating: testA/test/449_1.jpg    
  inflating: testA/test/172_20.jpg   
  inflating: testA/test/381_4.jpg    
  inflating: testA/test/174_19.jpg   
  inflating: testA/test/238_14.jpg   
  inflating: testA/test/374_3.jpg    
  inflating: testA/test/270_7.jpg    
  inflating: testA/test/75_10.jpg    
  inflating: testA/test/327_15.jpg   
  inflating: testA/test/401_21.jpg   
  inflating: testA/test/433_10.jpg   
  inflating: testA/test/338_15.jpg   
  inflating: testA/test/154_8.jpg    
  inflating: testA/test/179_20.jpg   
  inflating: testA/test/298_12.jpg   
  inflating: testA/test/270_2.jpg    
  inflating: testA/test/215_12.jpg   
  inflating: testA/test/88_14.jpg    
  inflating: testA/test/405_19.jpg   
  inflating: testA/test/169_21.jpg   
  inflating: testA/test/126_4.jpg    
  inflating: testA/test/418_18.jpg   
  inflating: testA/test/199_22.jpg   
  inflating: testA/test/221_3.jpg    
  inflating: testA/test/85_18.jpg    
  inflating: testA/test/407_15.jpg   
  inflating: testA/test/129_16.jpg   
  inflating: testA/test/235_1.jpg    
  inflating: testA/test/205_16.jpg   
  inflating: testA/test/119_4.jpg    
  inflating: testA/test/337_14.jpg   
  inflating: testA/test/474_1.jpg    
  inflating: testA/test/414_1.jpg    
  inflating: testA/test/360_7.jpg    
  inflating: testA/test/94_13.jpg    
  inflating: testA/test/74_22.jpg    
  inflating: testA/test/334_23.jpg   
  inflating: testA/test/253_7.jpg    
  inflating: testA/test/168_11.jpg   
  inflating: testA/test/193_10.jpg   
  inflating: testA/test/342_12.jpg   
  inflating: testA/test/84_10.jpg    
  inflating: testA/test/14_7.jpg     
  inflating: testA/test/426_1.jpg    
  inflating: testA/test/448_8.jpg    
  inflating: testA/test/493_17.jpg   
  inflating: testA/test/159_3.jpg    
  inflating: testA/test/444_14.jpg   
  inflating: testA/test/379_10.jpg   
  inflating: testA/test/68_17.jpg    
  inflating: testA/test/241_14.jpg   
  inflating: testA/test/198_8.jpg    
  inflating: testA/test/118_6.jpg    
  inflating: testA/test/214_12.jpg   
  inflating: testA/test/323_7.jpg    
  inflating: testA/test/44_8.jpg     
  inflating: testA/test/58_15.jpg    
  inflating: testA/test/374_2.jpg    
  inflating: testA/test/27_13.jpg    
  inflating: testA/test/172_13.jpg   
  inflating: testA/test/155_8.jpg    
  inflating: testA/test/94_4.jpg     
  inflating: testA/test/39_10.jpg    
  inflating: testA/test/431_12.jpg   
  inflating: testA/test/119_17.jpg   
  inflating: testA/test/177_23.jpg   
  inflating: testA/test/159_23.jpg   
  inflating: testA/test/227_19.jpg   
  inflating: testA/test/172_1.jpg    
  inflating: testA/test/165_1.jpg    
  inflating: testA/test/336_2.jpg    
  inflating: testA/test/111_9.jpg    
  inflating: testA/test/118_12.jpg   
  inflating: testA/test/325_23.jpg   
  inflating: testA/test/473_3.jpg    
  inflating: testA/test/460_0.jpg    
  inflating: testA/test/293_8.jpg    
  inflating: testA/test/138_8.jpg    
  inflating: testA/test/338_2.jpg    
  inflating: testA/test/52_23.jpg    
  inflating: testA/test/209_18.jpg   
  inflating: testA/test/120_6.jpg    
  inflating: testA/test/28_18.jpg    
  inflating: testA/test/173_6.jpg    
  inflating: testA/test/212_16.jpg   
  inflating: testA/test/475_17.jpg   
  inflating: testA/test/364_12.jpg   
  inflating: testA/test/448_21.jpg   
  inflating: testA/test/162_15.jpg   
  inflating: testA/test/381_1.jpg    
  inflating: testA/test/47_3.jpg     
  inflating: testA/test/369_15.jpg   
  inflating: testA/test/300_14.jpg   
  inflating: testA/test/293_13.jpg   
  inflating: testA/test/425_1.jpg    
  inflating: testA/test/334_22.jpg   
  inflating: testA/test/116_19.jpg   
  inflating: testA/test/301_19.jpg   
  inflating: testA/test/229_20.jpg   
  inflating: testA/test/51_10.jpg    
  inflating: testA/test/244_9.jpg    
  inflating: testA/test/479_0.jpg    
  inflating: testA/test/285_4.jpg    
  inflating: testA/test/204_17.jpg   
  inflating: testA/test/461_4.jpg    
  inflating: testA/test/22_21.jpg    
  inflating: testA/test/265_17.jpg   
  inflating: testA/test/468_19.jpg   
  inflating: testA/test/119_23.jpg   
  inflating: testA/test/477_8.jpg    
  inflating: testA/test/375_12.jpg   
  inflating: testA/test/283_10.jpg   
  inflating: testA/test/497_16.jpg   
  inflating: testA/test/361_12.jpg   
  inflating: testA/test/195_12.jpg   
  inflating: testA/test/32_3.jpg     
  inflating: testA/test/65_21.jpg    
  inflating: testA/test/241_3.jpg    
  inflating: testA/test/127_18.jpg   
  inflating: testA/test/320_1.jpg    
  inflating: testA/test/400_21.jpg   
  inflating: testA/test/362_9.jpg    
  inflating: testA/test/161_12.jpg   
  inflating: testA/test/297_9.jpg    
  inflating: testA/test/4_7.jpg      
  inflating: testA/test/348_14.jpg   
  inflating: testA/test/14_8.jpg     
  inflating: testA/test/124_16.jpg   
  inflating: testA/test/268_7.jpg    
  inflating: testA/test/12_23.jpg    
  inflating: testA/test/106_11.jpg   
  inflating: testA/test/402_0.jpg    
  inflating: testA/test/470_7.jpg    
  inflating: testA/test/41_23.jpg    
  inflating: testA/test/486_11.jpg   
  inflating: testA/test/315_12.jpg   
  inflating: testA/test/283_8.jpg    
  inflating: testA/test/133_11.jpg   
  inflating: testA/test/73_19.jpg    
  inflating: testA/test/7_13.jpg     
  inflating: testA/test/476_12.jpg   
  inflating: testA/test/377_2.jpg    
  inflating: testA/test/59_15.jpg    
  inflating: testA/test/472_17.jpg   
  inflating: testA/test/112_15.jpg   
  inflating: testA/test/18_1.jpg     
  inflating: testA/test/276_11.jpg   
  inflating: testA/test/437_15.jpg   
  inflating: testA/test/107_3.jpg    
  inflating: testA/test/216_7.jpg    
  inflating: testA/test/62_11.jpg    
  inflating: testA/test/59_22.jpg    
  inflating: testA/test/274_23.jpg   
  inflating: testA/test/216_10.jpg   
  inflating: testA/test/94_11.jpg    
  inflating: testA/test/172_17.jpg   
  inflating: testA/test/70_14.jpg    
  inflating: testA/test/240_7.jpg    
  inflating: testA/test/481_17.jpg   
  inflating: testA/test/337_6.jpg    
  inflating: testA/test/484_18.jpg   
  inflating: testA/test/258_21.jpg   
  inflating: testA/test/395_13.jpg   
  inflating: testA/test/421_0.jpg    
  inflating: testA/test/148_5.jpg    
  inflating: testA/test/391_12.jpg   
  inflating: testA/test/290_5.jpg    
  inflating: testA/test/90_21.jpg    
  inflating: testA/test/103_22.jpg   
  inflating: testA/test/458_22.jpg   
  inflating: testA/test/488_19.jpg   
  inflating: testA/test/260_23.jpg   
  inflating: testA/test/319_9.jpg    
  inflating: testA/test/377_5.jpg    
  inflating: testA/test/243_5.jpg    
  inflating: testA/test/399_2.jpg    
  inflating: testA/test/248_14.jpg   
  inflating: testA/test/58_18.jpg    
  inflating: testA/test/15_7.jpg     
  inflating: testA/test/485_11.jpg   
  inflating: testA/test/141_2.jpg    
  inflating: testA/test/45_0.jpg     
  inflating: testA/test/226_11.jpg   
  inflating: testA/test/163_22.jpg   
  inflating: testA/test/491_21.jpg   
  inflating: testA/test/322_19.jpg   
  inflating: testA/test/15_19.jpg    
  inflating: testA/test/447_7.jpg    
  inflating: testA/test/195_20.jpg   
  inflating: testA/test/23_0.jpg     
  inflating: testA/test/41_9.jpg     
  inflating: testA/test/221_15.jpg   
  inflating: testA/test/55_20.jpg    
  inflating: testA/test/320_13.jpg   
  inflating: testA/test/16_12.jpg    
  inflating: testA/test/467_21.jpg   
  inflating: testA/test/382_23.jpg   
  inflating: testA/test/1_18.jpg     
  inflating: testA/test/107_16.jpg   
  inflating: testA/test/47_19.jpg    
  inflating: testA/test/356_10.jpg   
  inflating: testA/test/323_19.jpg   
  inflating: testA/test/447_18.jpg   
  inflating: testA/test/188_11.jpg   
  inflating: testA/test/381_7.jpg    
  inflating: testA/test/370_15.jpg   
  inflating: testA/test/2_23.jpg     
  inflating: testA/test/469_5.jpg    
  inflating: testA/test/346_22.jpg   
  inflating: testA/test/277_8.jpg    
  inflating: testA/test/72_23.jpg    
  inflating: testA/test/38_2.jpg     
  inflating: testA/test/332_4.jpg    
  inflating: testA/test/277_14.jpg   
  inflating: testA/test/154_15.jpg   
  inflating: testA/test/275_23.jpg   
  inflating: testA/test/214_4.jpg    
  inflating: testA/test/481_13.jpg   
  inflating: testA/test/219_5.jpg    
  inflating: testA/test/359_15.jpg   
  inflating: testA/test/32_13.jpg    
  inflating: testA/test/50_17.jpg    
  inflating: testA/test/498_17.jpg   
  inflating: testA/test/324_17.jpg   
  inflating: testA/test/364_13.jpg   
  inflating: testA/test/381_23.jpg   
  inflating: testA/test/452_19.jpg   
  inflating: testA/test/232_12.jpg   
  inflating: testA/test/289_3.jpg    
  inflating: testA/test/192_3.jpg    
  inflating: testA/test/399_19.jpg   
  inflating: testA/test/107_5.jpg    
  inflating: testA/test/179_8.jpg    
  inflating: testA/test/72_14.jpg    
  inflating: testA/test/310_23.jpg   
  inflating: testA/test/62_4.jpg     
  inflating: testA/test/275_8.jpg    
  inflating: testA/test/460_16.jpg   
  inflating: testA/test/35_21.jpg    
  inflating: testA/test/62_15.jpg    
  inflating: testA/test/107_12.jpg   
  inflating: testA/test/492_5.jpg    
  inflating: testA/test/383_5.jpg    
  inflating: testA/test/287_0.jpg    
  inflating: testA/test/356_9.jpg    
  inflating: testA/test/163_12.jpg   
  inflating: testA/test/223_22.jpg   
  inflating: testA/test/108_23.jpg   
  inflating: testA/test/261_23.jpg   
  inflating: testA/test/439_4.jpg    
  inflating: testA/test/473_6.jpg    
  inflating: testA/test/391_9.jpg    
  inflating: testA/test/478_8.jpg    
  inflating: testA/test/83_21.jpg    
  inflating: testA/test/53_20.jpg    
  inflating: testA/test/305_15.jpg   
  inflating: testA/test/428_14.jpg   
  inflating: testA/test/201_7.jpg    
  inflating: testA/test/495_17.jpg   
  inflating: testA/test/467_8.jpg    
  inflating: testA/test/300_9.jpg    
  inflating: testA/test/266_2.jpg    
  inflating: testA/test/267_0.jpg    
  inflating: testA/test/105_21.jpg   
  inflating: testA/test/448_20.jpg   
  inflating: testA/test/323_0.jpg    
  inflating: testA/test/291_22.jpg   
  inflating: testA/test/84_19.jpg    
  inflating: testA/test/133_16.jpg   
  inflating: testA/test/372_15.jpg   
  inflating: testA/test/154_12.jpg   
  inflating: testA/test/47_6.jpg     
  inflating: testA/test/192_16.jpg   
  inflating: testA/test/441_4.jpg    
  inflating: testA/test/272_23.jpg   
  inflating: testA/test/484_7.jpg    
  inflating: testA/test/409_9.jpg    
  inflating: testA/test/470_20.jpg   
  inflating: testA/test/445_6.jpg    
  inflating: testA/test/183_2.jpg    
  inflating: testA/test/4_8.jpg      
  inflating: testA/test/161_22.jpg   
  inflating: testA/test/294_13.jpg   
  inflating: testA/test/359_17.jpg   
  inflating: testA/test/226_8.jpg    
  inflating: testA/test/459_5.jpg    
  inflating: testA/test/422_17.jpg   
  inflating: testA/test/83_0.jpg     
  inflating: testA/test/365_4.jpg    
  inflating: testA/test/350_5.jpg    
  inflating: testA/test/445_3.jpg    
  inflating: testA/test/242_0.jpg    
  inflating: testA/test/348_21.jpg   
  inflating: testA/test/241_23.jpg   
  inflating: testA/test/468_1.jpg    
  inflating: testA/test/23_21.jpg    
  inflating: testA/test/244_15.jpg   
  inflating: testA/test/265_7.jpg    
  inflating: testA/test/416_2.jpg    
  inflating: testA/test/455_13.jpg   
  inflating: testA/test/478_14.jpg   
  inflating: testA/test/17_7.jpg     
  inflating: testA/test/27_2.jpg     
  inflating: testA/test/88_17.jpg    
  inflating: testA/test/418_23.jpg   
  inflating: testA/test/267_8.jpg    
  inflating: testA/test/393_21.jpg   
  inflating: testA/test/271_3.jpg    
  inflating: testA/test/282_20.jpg   
  inflating: testA/test/89_13.jpg    
  inflating: testA/test/275_9.jpg    
  inflating: testA/test/348_11.jpg   
  inflating: testA/test/37_3.jpg     
  inflating: testA/test/382_9.jpg    
  inflating: testA/test/19_22.jpg    
  inflating: testA/test/98_22.jpg    
  inflating: testA/test/442_16.jpg   
  inflating: testA/test/322_0.jpg    
  inflating: testA/test/444_20.jpg   
  inflating: testA/test/213_11.jpg   
  inflating: testA/test/391_4.jpg    
  inflating: testA/test/75_7.jpg     
  inflating: testA/test/320_2.jpg    
  inflating: testA/test/368_0.jpg    
  inflating: testA/test/60_19.jpg    
  inflating: testA/test/380_9.jpg    
  inflating: testA/test/342_21.jpg   
  inflating: testA/test/214_13.jpg   
  inflating: testA/test/398_10.jpg   
  inflating: testA/test/142_23.jpg   
  inflating: testA/test/6_22.jpg     
  inflating: testA/test/312_2.jpg    
  inflating: testA/test/259_3.jpg    
  inflating: testA/test/166_22.jpg   
  inflating: testA/test/449_16.jpg   
  inflating: testA/test/328_23.jpg   
  inflating: testA/test/333_9.jpg    
  inflating: testA/test/190_4.jpg    
  inflating: testA/test/417_7.jpg    
  inflating: testA/test/354_19.jpg   
  inflating: testA/test/114_12.jpg   
  inflating: testA/test/312_0.jpg    
  inflating: testA/test/270_1.jpg    
  inflating: testA/test/105_23.jpg   
  inflating: testA/test/370_14.jpg   
  inflating: testA/test/142_8.jpg    
  inflating: testA/test/10_19.jpg    
  inflating: testA/test/204_12.jpg   
  inflating: testA/test/372_16.jpg   
  inflating: testA/test/408_14.jpg   
  inflating: testA/test/236_6.jpg    
  inflating: testA/test/156_11.jpg   
  inflating: testA/test/462_19.jpg   
  inflating: testA/test/74_2.jpg     
  inflating: testA/test/184_2.jpg    
  inflating: testA/test/92_15.jpg    
  inflating: testA/test/147_19.jpg   
  inflating: testA/test/222_4.jpg    
  inflating: testA/test/404_20.jpg   
  inflating: testA/test/253_20.jpg   
  inflating: testA/test/338_17.jpg   
  inflating: testA/test/30_22.jpg    
  inflating: testA/test/81_19.jpg    
  inflating: testA/test/311_16.jpg   
  inflating: testA/test/431_9.jpg    
  inflating: testA/test/200_18.jpg   
  inflating: testA/test/4_20.jpg     
  inflating: testA/test/402_7.jpg    
  inflating: testA/test/94_19.jpg    
  inflating: testA/test/54_14.jpg    
  inflating: testA/test/453_22.jpg   
  inflating: testA/test/297_19.jpg   
  inflating: testA/test/398_2.jpg    
  inflating: testA/test/238_17.jpg   
  inflating: testA/test/420_22.jpg   
  inflating: testA/test/383_3.jpg    
  inflating: testA/test/299_3.jpg    
  inflating: testA/test/102_21.jpg   
  inflating: testA/test/17_6.jpg     
  inflating: testA/test/319_21.jpg   
  inflating: testA/test/81_0.jpg     
  inflating: testA/test/412_3.jpg    
  inflating: testA/test/127_22.jpg   
  inflating: testA/test/107_10.jpg   
  inflating: testA/test/179_13.jpg   
  inflating: testA/test/361_20.jpg   
  inflating: testA/test/252_22.jpg   
  inflating: testA/test/466_7.jpg    
  inflating: testA/test/124_15.jpg   
  inflating: testA/test/274_2.jpg    
  inflating: testA/test/77_1.jpg     
  inflating: testA/test/77_20.jpg    
  inflating: testA/test/434_12.jpg   
  inflating: testA/test/331_20.jpg   
  inflating: testA/test/173_14.jpg   
  inflating: testA/test/47_12.jpg    
  inflating: testA/test/430_21.jpg   
  inflating: testA/test/73_12.jpg    
  inflating: testA/test/173_9.jpg    
  inflating: testA/test/199_0.jpg    
  inflating: testA/test/307_10.jpg   
  inflating: testA/test/210_9.jpg    
  inflating: testA/test/401_23.jpg   
  inflating: testA/test/20_7.jpg     
  inflating: testA/test/361_4.jpg    
  inflating: testA/test/382_11.jpg   
  inflating: testA/test/105_2.jpg    
  inflating: testA/test/245_22.jpg   
  inflating: testA/test/151_1.jpg    
  inflating: testA/test/63_20.jpg    
  inflating: testA/test/370_6.jpg    
  inflating: testA/test/474_16.jpg   
  inflating: testA/test/181_22.jpg   
  inflating: testA/test/310_22.jpg   
  inflating: testA/test/21_16.jpg    
  inflating: testA/test/140_23.jpg   
  inflating: testA/test/421_23.jpg   
  inflating: testA/test/408_2.jpg    
  inflating: testA/test/19_9.jpg     
  inflating: testA/test/352_11.jpg   
  inflating: testA/test/354_15.jpg   
  inflating: testA/test/153_12.jpg   
  inflating: testA/test/48_6.jpg     
  inflating: testA/test/151_8.jpg    
  inflating: testA/test/370_20.jpg   
  inflating: testA/test/216_15.jpg   
  inflating: testA/test/14_3.jpg     
  inflating: testA/test/335_16.jpg   
  inflating: testA/test/330_15.jpg   
  inflating: testA/test/54_18.jpg    
  inflating: testA/test/54_23.jpg    
  inflating: testA/test/264_6.jpg    
  inflating: testA/test/301_14.jpg   
  inflating: testA/test/454_1.jpg    
  inflating: testA/test/394_0.jpg    
  inflating: testA/test/493_13.jpg   
  inflating: testA/test/3_15.jpg     
  inflating: testA/test/388_2.jpg    
  inflating: testA/test/245_3.jpg    
  inflating: testA/test/73_16.jpg    
  inflating: testA/test/366_13.jpg   
  inflating: testA/test/484_21.jpg   
  inflating: testA/test/242_13.jpg   
  inflating: testA/test/322_15.jpg   
  inflating: testA/test/122_3.jpg    
  inflating: testA/test/493_4.jpg    
  inflating: testA/test/120_2.jpg    
  inflating: testA/test/478_16.jpg   
  inflating: testA/test/51_22.jpg    
  inflating: testA/test/499_16.jpg   
  inflating: testA/test/422_0.jpg    
  inflating: testA/test/498_12.jpg   
  inflating: testA/test/399_17.jpg   
  inflating: testA/test/120_14.jpg   
  inflating: testA/test/99_12.jpg    
  inflating: testA/test/263_0.jpg    
  inflating: testA/test/50_22.jpg    
  inflating: testA/test/316_18.jpg   
  inflating: testA/test/354_0.jpg    
  inflating: testA/test/104_12.jpg   
  inflating: testA/test/311_9.jpg    
  inflating: testA/test/212_4.jpg    
  inflating: testA/test/151_0.jpg    
  inflating: testA/test/190_20.jpg   
  inflating: testA/test/26_6.jpg     
  inflating: testA/test/450_3.jpg    
  inflating: testA/test/483_18.jpg   
  inflating: testA/test/416_0.jpg    
  inflating: testA/test/12_13.jpg    
  inflating: testA/test/420_17.jpg   
  inflating: testA/test/203_3.jpg    
  inflating: testA/test/90_3.jpg     
  inflating: testA/test/205_14.jpg   
  inflating: testA/test/397_10.jpg   
  inflating: testA/test/475_2.jpg    
  inflating: testA/test/21_18.jpg    
  inflating: testA/test/126_6.jpg    
  inflating: testA/test/17_1.jpg     
  inflating: testA/test/491_6.jpg    
  inflating: testA/test/400_4.jpg    
  inflating: testA/test/43_6.jpg     
  inflating: testA/test/22_8.jpg     
  inflating: testA/test/13_3.jpg     
  inflating: testA/test/237_13.jpg   
  inflating: testA/test/255_9.jpg    
  inflating: testA/test/480_23.jpg   
  inflating: testA/test/419_6.jpg    
  inflating: testA/test/404_4.jpg    
  inflating: testA/test/280_16.jpg   
  inflating: testA/test/104_7.jpg    
  inflating: testA/test/320_11.jpg   
  inflating: testA/test/287_23.jpg   
  inflating: testA/test/473_21.jpg   
  inflating: testA/test/341_6.jpg    
  inflating: testA/test/241_11.jpg   
  inflating: testA/test/268_21.jpg   
  inflating: testA/test/223_18.jpg   
  inflating: testA/test/359_4.jpg    
  inflating: testA/test/106_7.jpg    
  inflating: testA/test/73_8.jpg     
  inflating: testA/test/310_21.jpg   
  inflating: testA/test/307_4.jpg    
  inflating: testA/test/250_12.jpg   
  inflating: testA/test/199_11.jpg   
  inflating: testA/test/251_17.jpg   
  inflating: testA/test/332_0.jpg    
  inflating: testA/test/203_17.jpg   
  inflating: testA/test/143_6.jpg    
  inflating: testA/test/465_0.jpg    
  inflating: testA/test/224_9.jpg    
  inflating: testA/test/259_4.jpg    
  inflating: testA/test/441_14.jpg   
  inflating: testA/test/186_14.jpg   
  inflating: testA/test/173_11.jpg   
  inflating: testA/test/15_2.jpg     
  inflating: testA/test/473_16.jpg   
  inflating: testA/test/11_13.jpg    
  inflating: testA/test/264_5.jpg    
  inflating: testA/test/1_3.jpg      
  inflating: testA/test/413_10.jpg   
  inflating: testA/test/496_9.jpg    
  inflating: testA/test/78_15.jpg    
  inflating: testA/test/145_18.jpg   
  inflating: testA/test/472_12.jpg   
  inflating: testA/test/29_12.jpg    
  inflating: testA/test/429_21.jpg   
  inflating: testA/test/161_3.jpg    
  inflating: testA/test/236_20.jpg   
  inflating: testA/test/102_16.jpg   
  inflating: testA/test/467_18.jpg   
  inflating: testA/test/326_9.jpg    
  inflating: testA/test/269_1.jpg    
  inflating: testA/test/247_19.jpg   
  inflating: testA/test/375_0.jpg    
  inflating: testA/test/469_10.jpg   
  inflating: testA/test/310_15.jpg   
  inflating: testA/test/179_18.jpg   
  inflating: testA/test/207_23.jpg   
  inflating: testA/test/494_11.jpg   
  inflating: testA/test/308_22.jpg   
  inflating: testA/test/132_17.jpg   
  inflating: testA/test/36_20.jpg    
  inflating: testA/test/80_18.jpg    
  inflating: testA/test/55_3.jpg     
  inflating: testA/test/399_20.jpg   
  inflating: testA/test/407_14.jpg   
  inflating: testA/test/292_8.jpg    
  inflating: testA/test/378_1.jpg    
  inflating: testA/test/317_5.jpg    
  inflating: testA/test/200_20.jpg   
  inflating: testA/test/76_15.jpg    
  inflating: testA/test/251_0.jpg    
  inflating: testA/test/304_9.jpg    
  inflating: testA/test/353_22.jpg   
  inflating: testA/test/305_6.jpg    
  inflating: testA/test/89_3.jpg     
  inflating: testA/test/201_21.jpg   
  inflating: testA/test/456_12.jpg   
  inflating: testA/test/491_11.jpg   
  inflating: testA/test/333_8.jpg    
  inflating: testA/test/206_2.jpg    
  inflating: testA/test/347_16.jpg   
  inflating: testA/test/248_17.jpg   
  inflating: testA/test/382_18.jpg   
  inflating: testA/test/360_19.jpg   
  inflating: testA/test/263_15.jpg   
  inflating: testA/test/374_21.jpg   
  inflating: testA/test/434_2.jpg    
  inflating: testA/test/96_5.jpg     
  inflating: testA/test/192_18.jpg   
  inflating: testA/test/105_16.jpg   
  inflating: testA/test/209_6.jpg    
  inflating: testA/test/153_3.jpg    
  inflating: testA/test/288_9.jpg    
  inflating: testA/test/348_8.jpg    
  inflating: testA/test/57_7.jpg     
  inflating: testA/test/69_10.jpg    
  inflating: testA/test/0_15.jpg     
  inflating: testA/test/55_7.jpg     
  inflating: testA/test/30_14.jpg    
  inflating: testA/test/343_1.jpg    
  inflating: testA/test/439_10.jpg   
  inflating: testA/test/173_10.jpg   
  inflating: testA/test/381_3.jpg    
  inflating: testA/test/10_0.jpg     
  inflating: testA/test/107_8.jpg    
  inflating: testA/test/123_22.jpg   
  inflating: testA/test/445_8.jpg    
  inflating: testA/test/451_22.jpg   
  inflating: testA/test/7_9.jpg      
  inflating: testA/test/185_22.jpg   
  inflating: testA/test/276_7.jpg    
  inflating: testA/test/139_0.jpg    
  inflating: testA/test/165_4.jpg    
  inflating: testA/test/47_13.jpg    
  inflating: testA/test/433_11.jpg   
  inflating: testA/test/372_17.jpg   
  inflating: testA/test/262_3.jpg    
  inflating: testA/test/107_9.jpg    
  inflating: testA/test/307_1.jpg    
  inflating: testA/test/64_19.jpg    
  inflating: testA/test/358_7.jpg    
  inflating: testA/test/77_7.jpg     
  inflating: testA/test/313_7.jpg    
  inflating: testA/test/130_15.jpg   
  inflating: testA/test/7_11.jpg     
  inflating: testA/test/184_20.jpg   
  inflating: testA/test/492_23.jpg   
  inflating: testA/test/194_14.jpg   
  inflating: testA/test/111_1.jpg    
  inflating: testA/test/296_21.jpg   
  inflating: testA/test/152_11.jpg   
  inflating: testA/test/313_21.jpg   
  inflating: testA/test/104_9.jpg    
  inflating: testA/test/272_6.jpg    
  inflating: testA/test/342_1.jpg    
  inflating: testA/test/364_0.jpg    
  inflating: testA/test/403_13.jpg   
  inflating: testA/test/338_11.jpg   
  inflating: testA/test/306_5.jpg    
  inflating: testA/test/324_10.jpg   
  inflating: testA/test/298_3.jpg    
  inflating: testA/test/129_14.jpg   
  inflating: testA/test/100_14.jpg   
  inflating: testA/test/276_14.jpg   
  inflating: testA/test/34_18.jpg    
  inflating: testA/test/85_15.jpg    
  inflating: testA/test/86_11.jpg    
  inflating: testA/test/489_17.jpg   
  inflating: testA/test/348_15.jpg   
  inflating: testA/test/200_19.jpg   
  inflating: testA/test/252_2.jpg    
  inflating: testA/test/359_10.jpg   
  inflating: testA/test/443_5.jpg    
  inflating: testA/test/101_15.jpg   
  inflating: testA/test/344_7.jpg    
  inflating: testA/test/364_22.jpg   
  inflating: testA/test/457_17.jpg   
  inflating: testA/test/4_21.jpg     
  inflating: testA/test/101_17.jpg   
  inflating: testA/test/18_7.jpg     
  inflating: testA/test/438_1.jpg    
  inflating: testA/test/124_11.jpg   
  inflating: testA/test/472_16.jpg   
  inflating: testA/test/355_12.jpg   
  inflating: testA/test/39_15.jpg    
  inflating: testA/test/344_1.jpg    
  inflating: testA/test/325_15.jpg   
  inflating: testA/test/47_15.jpg    
  inflating: testA/test/115_0.jpg    
  inflating: testA/test/197_10.jpg   
  inflating: testA/test/464_11.jpg   
  inflating: testA/test/272_11.jpg   
  inflating: testA/test/486_13.jpg   
  inflating: testA/test/400_20.jpg   
  inflating: testA/test/48_20.jpg    
  inflating: testA/test/360_6.jpg    
  inflating: testA/test/49_22.jpg    
  inflating: testA/test/329_0.jpg    
  inflating: testA/test/447_1.jpg    
  inflating: testA/test/162_1.jpg    
  inflating: testA/test/76_7.jpg     
  inflating: testA/test/435_0.jpg    
  inflating: testA/test/37_22.jpg    
  inflating: testA/test/110_0.jpg    
  inflating: testA/test/307_18.jpg   
  inflating: testA/test/50_9.jpg     
  inflating: testA/test/491_7.jpg    
  inflating: testA/test/416_8.jpg    
  inflating: testA/test/133_7.jpg    
  inflating: testA/test/245_18.jpg   
  inflating: testA/test/179_15.jpg   
  inflating: testA/test/327_4.jpg    
  inflating: testA/test/190_22.jpg   
  inflating: testA/test/391_7.jpg    
  inflating: testA/test/106_4.jpg    
  inflating: testA/test/315_15.jpg   
  inflating: testA/test/22_9.jpg     
  inflating: testA/test/257_8.jpg    
  inflating: testA/test/328_16.jpg   
  inflating: testA/test/438_15.jpg   
  inflating: testA/test/394_3.jpg    
  inflating: testA/test/454_20.jpg   
  inflating: testA/test/332_8.jpg    
  inflating: testA/test/20_6.jpg     
  inflating: testA/test/21_11.jpg    
  inflating: testA/test/426_22.jpg   
  inflating: testA/test/327_3.jpg    
  inflating: testA/test/392_4.jpg    
  inflating: testA/test/318_23.jpg   
  inflating: testA/test/65_7.jpg     
  inflating: testA/test/416_15.jpg   
  inflating: testA/test/427_14.jpg   
  inflating: testA/test/496_14.jpg   
  inflating: testA/test/155_21.jpg   
  inflating: testA/test/95_9.jpg     
  inflating: testA/test/177_17.jpg   
  inflating: testA/test/458_4.jpg    
  inflating: testA/test/495_16.jpg   
  inflating: testA/test/143_23.jpg   
  inflating: testA/test/475_3.jpg    
  inflating: testA/test/68_0.jpg     
  inflating: testA/test/21_13.jpg    
  inflating: testA/test/92_10.jpg    
  inflating: testA/test/215_20.jpg   
  inflating: testA/test/282_11.jpg   
  inflating: testA/test/419_13.jpg   
  inflating: testA/test/189_0.jpg    
  inflating: testA/test/397_9.jpg    
  inflating: testA/test/247_15.jpg   
  inflating: testA/test/232_13.jpg   
  inflating: testA/test/9_22.jpg     
  inflating: testA/test/395_21.jpg   
  inflating: testA/test/302_10.jpg   
  inflating: testA/test/118_23.jpg   
  inflating: testA/test/332_2.jpg    
  inflating: testA/test/325_7.jpg    
  inflating: testA/test/454_6.jpg    
  inflating: testA/test/499_1.jpg    
  inflating: testA/test/18_13.jpg    
  inflating: testA/test/124_4.jpg    
  inflating: testA/test/308_5.jpg    
  inflating: testA/test/300_7.jpg    
  inflating: testA/test/473_1.jpg    
  inflating: testA/test/97_5.jpg     
  inflating: testA/test/200_15.jpg   
  inflating: testA/test/447_10.jpg   
  inflating: testA/test/412_4.jpg    
  inflating: testA/test/293_2.jpg    
  inflating: testA/test/9_10.jpg     
  inflating: testA/test/218_5.jpg    
  inflating: testA/test/298_8.jpg    
  inflating: testA/test/16_3.jpg     
  inflating: testA/test/40_2.jpg     
  inflating: testA/test/192_0.jpg    
  inflating: testA/test/414_0.jpg    
  inflating: testA/test/401_4.jpg    
  inflating: testA/test/446_2.jpg    
  inflating: testA/test/146_0.jpg    
  inflating: testA/test/441_18.jpg   
  inflating: testA/test/174_10.jpg   
  inflating: testA/test/410_5.jpg    
  inflating: testA/test/465_4.jpg    
  inflating: testA/test/60_13.jpg    
  inflating: testA/test/483_5.jpg    
  inflating: testA/test/6_2.jpg      
  inflating: testA/test/305_20.jpg   
  inflating: testA/test/144_21.jpg   
  inflating: testA/test/280_21.jpg   
  inflating: testA/test/139_12.jpg   
  inflating: testA/test/54_5.jpg     
  inflating: testA/test/289_20.jpg   
  inflating: testA/test/339_6.jpg    
  inflating: testA/test/177_4.jpg    
  inflating: testA/test/431_7.jpg    
  inflating: testA/test/459_4.jpg    
  inflating: testA/test/174_16.jpg   
  inflating: testA/test/457_7.jpg    
  inflating: testA/test/443_2.jpg    
  inflating: testA/test/103_1.jpg    
  inflating: testA/test/158_23.jpg   
  inflating: testA/test/252_6.jpg    
  inflating: testA/test/116_23.jpg   
  inflating: testA/test/436_20.jpg   
  inflating: testA/test/498_0.jpg    
  inflating: testA/test/66_6.jpg     
  inflating: testA/test/57_19.jpg    
  inflating: testA/test/283_7.jpg    
  inflating: testA/test/121_23.jpg   
  inflating: testA/test/448_18.jpg   
  inflating: testA/test/137_9.jpg    
  inflating: testA/test/190_12.jpg   
  inflating: testA/test/281_16.jpg   
  inflating: testA/test/395_3.jpg    
  inflating: testA/test/182_9.jpg    
  inflating: testA/test/78_16.jpg    
  inflating: testA/test/202_1.jpg    
  inflating: testA/test/418_7.jpg    
  inflating: testA/test/103_7.jpg    
  inflating: testA/test/398_19.jpg   
  inflating: testA/test/217_8.jpg    
  inflating: testA/test/289_7.jpg    
  inflating: testA/test/234_22.jpg   
  inflating: testA/test/54_8.jpg     
  inflating: testA/test/356_23.jpg   
  inflating: testA/test/460_21.jpg   
  inflating: testA/test/216_0.jpg    
  inflating: testA/test/26_15.jpg    
  inflating: testA/test/16_11.jpg    
  inflating: testA/test/351_12.jpg   
  inflating: testA/test/308_15.jpg   
  inflating: testA/test/483_11.jpg   
  inflating: testA/test/23_22.jpg    
  inflating: testA/test/49_23.jpg    
  inflating: testA/test/417_19.jpg   
  inflating: testA/test/464_6.jpg    
  inflating: testA/test/492_21.jpg   
  inflating: testA/test/319_4.jpg    
  inflating: testA/test/124_9.jpg    
  inflating: testA/test/42_15.jpg    
  inflating: testA/test/460_22.jpg   
  inflating: testA/test/34_16.jpg    
  inflating: testA/test/160_17.jpg   
  inflating: testA/test/260_20.jpg   
  inflating: testA/test/224_11.jpg   
  inflating: testA/test/286_7.jpg    
  inflating: testA/test/288_8.jpg    
  inflating: testA/test/315_13.jpg   
  inflating: testA/test/311_0.jpg    
  inflating: testA/test/123_3.jpg    
  inflating: testA/test/75_1.jpg     
  inflating: testA/test/171_18.jpg   
  inflating: testA/test/12_19.jpg    
  inflating: testA/test/228_9.jpg    
  inflating: testA/test/492_1.jpg    
  inflating: testA/test/381_14.jpg   
  inflating: testA/test/198_16.jpg   
  inflating: testA/test/396_1.jpg    
  inflating: testA/test/214_19.jpg   
  inflating: testA/test/274_21.jpg   
  inflating: testA/test/109_7.jpg    
  inflating: testA/test/31_17.jpg    
  inflating: testA/test/177_11.jpg   
  inflating: testA/test/441_6.jpg    
  inflating: testA/test/46_18.jpg    
  inflating: testA/test/406_8.jpg    
  inflating: testA/test/356_17.jpg   
  inflating: testA/test/205_6.jpg    
  inflating: testA/test/126_8.jpg    
  inflating: testA/test/355_20.jpg   
  inflating: testA/test/68_6.jpg     
  inflating: testA/test/348_19.jpg   
  inflating: testA/test/438_8.jpg    
  inflating: testA/test/186_11.jpg   
  inflating: testA/test/129_0.jpg    
  inflating: testA/test/495_6.jpg    
  inflating: testA/test/67_14.jpg    
  inflating: testA/test/2_3.jpg      
  inflating: testA/test/62_9.jpg     
  inflating: testA/test/195_18.jpg   
  inflating: testA/test/269_13.jpg   
  inflating: testA/test/119_18.jpg   
  inflating: testA/test/183_15.jpg   
  inflating: testA/test/427_17.jpg   
  inflating: testA/test/274_17.jpg   
  inflating: testA/test/324_4.jpg    
  inflating: testA/test/301_12.jpg   
  inflating: testA/test/226_9.jpg    
  inflating: testA/test/386_10.jpg   
  inflating: testA/test/425_13.jpg   
  inflating: testA/test/30_21.jpg    
  inflating: testA/test/144_7.jpg    
  inflating: testA/test/222_17.jpg   
  inflating: testA/test/147_0.jpg    
  inflating: testA/test/61_0.jpg     
  inflating: testA/test/403_11.jpg   
  inflating: testA/test/233_4.jpg    
  inflating: testA/test/102_1.jpg    
  inflating: testA/test/54_20.jpg    
  inflating: testA/test/79_22.jpg    
  inflating: testA/test/450_15.jpg   
  inflating: testA/test/417_11.jpg   
  inflating: testA/test/147_15.jpg   
  inflating: testA/test/112_9.jpg    
  inflating: testA/test/332_15.jpg   
  inflating: testA/test/449_3.jpg    
  inflating: testA/test/15_5.jpg     
  inflating: testA/test/79_11.jpg    
  inflating: testA/test/82_11.jpg    
  inflating: testA/test/473_5.jpg    
  inflating: testA/test/262_22.jpg   
  inflating: testA/test/398_4.jpg    
  inflating: testA/test/45_11.jpg    
  inflating: testA/test/153_20.jpg   
  inflating: testA/test/253_3.jpg    
  inflating: testA/test/17_23.jpg    
  inflating: testA/test/331_22.jpg   
  inflating: testA/test/298_14.jpg   
  inflating: testA/test/117_11.jpg   
  inflating: testA/test/12_10.jpg    
  inflating: testA/test/91_23.jpg    
  inflating: testA/test/113_8.jpg    
  inflating: testA/test/213_9.jpg    
  inflating: testA/test/175_4.jpg    
  inflating: testA/test/494_19.jpg   
  inflating: testA/test/55_1.jpg     
  inflating: testA/test/128_1.jpg    
  inflating: testA/test/20_23.jpg    
  inflating: testA/test/363_5.jpg    
  inflating: testA/test/281_22.jpg   
  inflating: testA/test/302_1.jpg    
  inflating: testA/test/102_10.jpg   
  inflating: testA/test/251_8.jpg    
  inflating: testA/test/492_4.jpg    
  inflating: testA/test/347_22.jpg   
  inflating: testA/test/170_6.jpg    
  inflating: testA/test/246_6.jpg    
  inflating: testA/test/379_4.jpg    
  inflating: testA/test/31_0.jpg     
  inflating: testA/test/121_21.jpg   
  inflating: testA/test/158_13.jpg   
  inflating: testA/test/498_15.jpg   
  inflating: testA/test/259_2.jpg    
  inflating: testA/test/311_18.jpg   
  inflating: testA/test/414_12.jpg   
  inflating: testA/test/479_1.jpg    
  inflating: testA/test/345_21.jpg   
  inflating: testA/test/20_0.jpg     
  inflating: testA/test/441_13.jpg   
  inflating: testA/test/13_6.jpg     
  inflating: testA/test/114_19.jpg   
  inflating: testA/test/340_3.jpg    
  inflating: testA/test/205_19.jpg   
  inflating: testA/test/291_11.jpg   
  inflating: testA/test/123_15.jpg   
  inflating: testA/test/376_12.jpg   
  inflating: testA/test/499_11.jpg   
  inflating: testA/test/133_5.jpg    
  inflating: testA/test/308_18.jpg   
  inflating: testA/test/142_5.jpg    
  inflating: testA/test/343_3.jpg    
  inflating: testA/test/317_18.jpg   
  inflating: testA/test/102_13.jpg   
  inflating: testA/test/241_4.jpg    
  inflating: testA/test/60_9.jpg     
  inflating: testA/test/173_17.jpg   
  inflating: testA/test/237_5.jpg    
  inflating: testA/test/249_17.jpg   
  inflating: testA/test/42_7.jpg     
  inflating: testA/test/239_10.jpg   
  inflating: testA/test/445_12.jpg   
  inflating: testA/test/367_16.jpg   
  inflating: testA/test/430_17.jpg   
  inflating: testA/test/418_16.jpg   
  inflating: testA/test/425_9.jpg    
  inflating: testA/test/436_3.jpg    
  inflating: testA/test/295_7.jpg    
  inflating: testA/test/75_5.jpg     
  inflating: testA/test/213_8.jpg    
  inflating: testA/test/180_16.jpg   
  inflating: testA/test/114_0.jpg    
  inflating: testA/test/147_9.jpg    
  inflating: testA/test/125_15.jpg   
  inflating: testA/test/68_7.jpg     
  inflating: testA/test/278_20.jpg   
  inflating: testA/test/438_10.jpg   
  inflating: testA/test/41_19.jpg    
  inflating: testA/test/212_0.jpg    
  inflating: testA/test/233_0.jpg    
  inflating: testA/test/492_9.jpg    
  inflating: testA/test/213_17.jpg   
  inflating: testA/test/203_5.jpg    
  inflating: testA/test/426_4.jpg    
  inflating: testA/test/389_1.jpg    
  inflating: testA/test/158_6.jpg    
  inflating: testA/test/461_6.jpg    
  inflating: testA/test/10_20.jpg    
  inflating: testA/test/497_6.jpg    
  inflating: testA/test/260_17.jpg   
  inflating: testA/test/446_10.jpg   
  inflating: testA/test/132_6.jpg    
  inflating: testA/test/261_9.jpg    
  inflating: testA/test/389_19.jpg   
  inflating: testA/test/474_22.jpg   
  inflating: testA/test/64_2.jpg     
  inflating: testA/test/318_12.jpg   
  inflating: testA/test/264_19.jpg   
  inflating: testA/test/408_6.jpg    
  inflating: testA/test/105_13.jpg   
  inflating: testA/test/31_10.jpg    
  inflating: testA/test/288_14.jpg   
  inflating: testA/test/327_17.jpg   
  inflating: testA/test/330_13.jpg   
  inflating: testA/test/329_18.jpg   
  inflating: testA/test/277_6.jpg    
  inflating: testA/test/475_23.jpg   
  inflating: testA/test/58_2.jpg     
  inflating: testA/test/212_8.jpg    
  inflating: testA/test/194_19.jpg   
  inflating: testA/test/283_6.jpg    
  inflating: testA/test/449_8.jpg    
  inflating: testA/test/340_13.jpg   
  inflating: testA/test/365_23.jpg   
  inflating: testA/test/371_2.jpg    
  inflating: testA/test/90_18.jpg    
  inflating: testA/test/210_10.jpg   
  inflating: testA/test/368_1.jpg    
  inflating: testA/test/296_0.jpg    
  inflating: testA/test/4_14.jpg     
  inflating: testA/test/262_0.jpg    
  inflating: testA/test/268_14.jpg   
  inflating: testA/test/204_10.jpg   
  inflating: testA/test/224_0.jpg    
  inflating: testA/test/203_9.jpg    
  inflating: testA/test/265_22.jpg   
  inflating: testA/test/320_21.jpg   
  inflating: testA/test/296_15.jpg   
  inflating: testA/test/49_18.jpg    
  inflating: testA/test/328_22.jpg   
  inflating: testA/test/439_1.jpg    
  inflating: testA/test/280_9.jpg    
  inflating: testA/test/402_2.jpg    
  inflating: testA/test/198_9.jpg    
  inflating: testA/test/162_3.jpg    
  inflating: testA/test/45_2.jpg     
  inflating: testA/test/475_7.jpg    
  inflating: testA/test/317_11.jpg   
  inflating: testA/test/221_13.jpg   
  inflating: testA/test/425_15.jpg   
  inflating: testA/test/126_3.jpg    
  inflating: testA/test/44_4.jpg     
  inflating: testA/test/217_19.jpg   
  inflating: testA/test/85_14.jpg    
  inflating: testA/test/286_15.jpg   
  inflating: testA/test/481_8.jpg    
  inflating: testA/test/135_3.jpg    
  inflating: testA/test/262_2.jpg    
  inflating: testA/test/62_17.jpg    
  inflating: testA/test/196_20.jpg   
  inflating: testA/test/322_7.jpg    
  inflating: testA/test/392_3.jpg    
  inflating: testA/test/257_0.jpg    
  inflating: testA/test/467_22.jpg   
  inflating: testA/test/437_6.jpg    
  inflating: testA/test/25_3.jpg     
  inflating: testA/test/353_5.jpg    
  inflating: testA/test/366_9.jpg    
  inflating: testA/test/70_1.jpg     
  inflating: testA/test/227_9.jpg    
  inflating: testA/test/419_23.jpg   
  inflating: testA/test/223_15.jpg   
  inflating: testA/test/415_23.jpg   
  inflating: testA/test/172_18.jpg   
  inflating: testA/test/408_11.jpg   
  inflating: testA/test/20_8.jpg     
  inflating: testA/test/289_19.jpg   
  inflating: testA/test/407_13.jpg   
  inflating: testA/test/361_1.jpg    
  inflating: testA/test/445_13.jpg   
  inflating: testA/test/489_13.jpg   
  inflating: testA/test/225_0.jpg    
  inflating: testA/test/388_15.jpg   
  inflating: testA/test/0_3.jpg      
  inflating: testA/test/303_13.jpg   
  inflating: testA/test/87_19.jpg    
  inflating: testA/test/247_12.jpg   
  inflating: testA/test/353_23.jpg   
  inflating: testA/test/226_20.jpg   
  inflating: testA/test/490_15.jpg   
  inflating: testA/test/451_15.jpg   
  inflating: testA/test/432_17.jpg   
  inflating: testA/test/214_8.jpg    
  inflating: testA/test/161_0.jpg    
  inflating: testA/test/263_13.jpg   
  inflating: testA/test/359_20.jpg   
  inflating: testA/test/256_18.jpg   
  inflating: testA/test/185_1.jpg    
  inflating: testA/test/382_21.jpg   
  inflating: testA/test/454_7.jpg    
  inflating: testA/test/477_5.jpg    
  inflating: testA/test/397_6.jpg    
  inflating: testA/test/420_12.jpg   
  inflating: testA/test/354_4.jpg    
  inflating: testA/test/245_4.jpg    
  inflating: testA/test/122_13.jpg   
  inflating: testA/test/192_7.jpg    
  inflating: testA/test/440_15.jpg   
  inflating: testA/test/66_12.jpg    
  inflating: testA/test/197_2.jpg    
  inflating: testA/test/247_0.jpg    
  inflating: testA/test/329_15.jpg   
  inflating: testA/test/344_18.jpg   
  inflating: testA/test/312_16.jpg   
  inflating: testA/test/105_17.jpg   
  inflating: testA/test/367_1.jpg    
  inflating: testA/test/206_4.jpg    
  inflating: testA/test/148_15.jpg   
  inflating: testA/test/318_2.jpg    
  inflating: testA/test/175_21.jpg   
  inflating: testA/test/100_1.jpg    
  inflating: testA/test/14_10.jpg    
  inflating: testA/test/299_10.jpg   
  inflating: testA/test/164_6.jpg    
  inflating: testA/test/229_22.jpg   
  inflating: testA/test/462_7.jpg    
  inflating: testA/test/210_8.jpg    
  inflating: testA/test/259_19.jpg   
  inflating: testA/test/110_9.jpg    
  inflating: testA/test/139_4.jpg    
  inflating: testA/test/221_11.jpg   
  inflating: testA/test/193_20.jpg   
  inflating: testA/test/37_4.jpg     
  inflating: testA/test/303_14.jpg   
  inflating: testA/test/44_7.jpg     
  inflating: testA/test/246_14.jpg   
  inflating: testA/test/270_22.jpg   
  inflating: testA/test/242_12.jpg   
  inflating: testA/test/197_14.jpg   
  inflating: testA/test/295_8.jpg    
  inflating: testA/test/172_16.jpg   
  inflating: testA/test/165_17.jpg   
  inflating: testA/test/446_19.jpg   
  inflating: testA/test/153_23.jpg   
  inflating: testA/test/218_11.jpg   
  inflating: testA/test/472_19.jpg   
  inflating: testA/test/34_21.jpg    
  inflating: testA/test/36_14.jpg    
  inflating: testA/test/457_22.jpg   
  inflating: testA/test/495_18.jpg   
  inflating: testA/test/489_23.jpg   
  inflating: testA/test/97_23.jpg    
  inflating: testA/test/306_14.jpg   
  inflating: testA/test/86_6.jpg     
  inflating: testA/test/484_10.jpg   
  inflating: testA/test/179_19.jpg   
  inflating: testA/test/442_18.jpg   
  inflating: testA/test/243_0.jpg    
  inflating: testA/test/265_3.jpg    
  inflating: testA/test/362_20.jpg   
  inflating: testA/test/495_0.jpg    
  inflating: testA/test/227_13.jpg   
  inflating: testA/test/470_22.jpg   
  inflating: testA/test/3_0.jpg      
  inflating: testA/test/435_17.jpg   
  inflating: testA/test/379_12.jpg   
  inflating: testA/test/27_15.jpg    
  inflating: testA/test/346_19.jpg   
  inflating: testA/test/77_3.jpg     
  inflating: testA/test/170_18.jpg   
  inflating: testA/test/13_17.jpg    
  inflating: testA/test/73_17.jpg    
  inflating: testA/test/483_1.jpg    
  inflating: testA/test/260_10.jpg   
  inflating: testA/test/169_19.jpg   
  inflating: testA/test/239_12.jpg   
  inflating: testA/test/101_23.jpg   
  inflating: testA/test/421_5.jpg    
  inflating: testA/test/68_4.jpg     
  inflating: testA/test/398_7.jpg    
  inflating: testA/test/302_21.jpg   
  inflating: testA/test/213_4.jpg    
  inflating: testA/test/65_23.jpg    
  inflating: testA/test/385_18.jpg   
  inflating: testA/test/465_7.jpg    
  inflating: testA/test/354_2.jpg    
  inflating: testA/test/40_0.jpg     
  inflating: testA/test/490_13.jpg   
  inflating: testA/test/163_9.jpg    
  inflating: testA/test/438_13.jpg   
  inflating: testA/test/386_15.jpg   
  inflating: testA/test/175_19.jpg   
  inflating: testA/test/214_16.jpg   
  inflating: testA/test/224_23.jpg   
  inflating: testA/test/485_20.jpg   
  inflating: testA/test/499_15.jpg   
  inflating: testA/test/313_3.jpg    
  inflating: testA/test/317_1.jpg    
  inflating: testA/test/188_22.jpg   
  inflating: testA/test/398_14.jpg   
  inflating: testA/test/89_10.jpg    
  inflating: testA/test/129_9.jpg    
  inflating: testA/test/416_5.jpg    
  inflating: testA/test/87_15.jpg    
  inflating: testA/test/289_0.jpg    
  inflating: testA/test/226_13.jpg   
  inflating: testA/test/232_14.jpg   
  inflating: testA/test/303_17.jpg   
  inflating: testA/test/151_17.jpg   
  inflating: testA/test/168_17.jpg   
  inflating: testA/test/277_11.jpg   
  inflating: testA/test/203_21.jpg   
  inflating: testA/test/51_3.jpg     
  inflating: testA/test/476_8.jpg    
  inflating: testA/test/405_12.jpg   
  inflating: testA/test/30_8.jpg     
  inflating: testA/test/122_14.jpg   
  inflating: testA/test/222_8.jpg    
  inflating: testA/test/417_6.jpg    
  inflating: testA/test/242_7.jpg    
  inflating: testA/test/196_11.jpg   
  inflating: testA/test/344_14.jpg   
  inflating: testA/test/231_16.jpg   
  inflating: testA/test/72_1.jpg     
  inflating: testA/test/289_1.jpg    
  inflating: testA/test/76_18.jpg    
  inflating: testA/test/459_20.jpg   
  inflating: testA/test/172_9.jpg    
  inflating: testA/test/154_21.jpg   
  inflating: testA/test/83_20.jpg    
  inflating: testA/test/126_19.jpg   
  inflating: testA/test/475_14.jpg   
  inflating: testA/test/363_21.jpg   
  inflating: testA/test/427_21.jpg   
  inflating: testA/test/79_23.jpg    
  inflating: testA/test/61_17.jpg    
  inflating: testA/test/99_7.jpg     
  inflating: testA/test/176_21.jpg   
  inflating: testA/test/76_4.jpg     
  inflating: testA/test/181_16.jpg   
  inflating: testA/test/468_8.jpg    
  inflating: testA/test/493_7.jpg    
  inflating: testA/test/196_10.jpg   
  inflating: testA/test/87_5.jpg     
  inflating: testA/test/285_20.jpg   
  inflating: testA/test/328_7.jpg    
  inflating: testA/test/25_23.jpg    
  inflating: testA/test/7_1.jpg      
  inflating: testA/test/172_0.jpg    
  inflating: testA/test/354_18.jpg   
  inflating: testA/test/385_14.jpg   
  inflating: testA/test/379_14.jpg   
  inflating: testA/test/439_8.jpg    
  inflating: testA/test/360_12.jpg   
  inflating: testA/test/434_16.jpg   
  inflating: testA/test/87_9.jpg     
  inflating: testA/test/258_14.jpg   
  inflating: testA/test/130_20.jpg   
  inflating: testA/test/321_6.jpg    
  inflating: testA/test/367_15.jpg   
  inflating: testA/test/340_22.jpg   
  inflating: testA/test/443_20.jpg   
  inflating: testA/test/163_4.jpg    
  inflating: testA/test/387_22.jpg   
  inflating: testA/test/328_19.jpg   
  inflating: testA/test/325_4.jpg    
  inflating: testA/test/343_22.jpg   
  inflating: testA/test/26_5.jpg     
  inflating: testA/test/491_12.jpg   
  inflating: testA/test/97_0.jpg     
  inflating: testA/test/494_15.jpg   
  inflating: testA/test/444_19.jpg   
  inflating: testA/test/258_11.jpg   
  inflating: testA/test/30_17.jpg    
  inflating: testA/test/318_18.jpg   
  inflating: testA/test/237_16.jpg   
  inflating: testA/test/17_0.jpg     
  inflating: testA/test/49_7.jpg     
  inflating: testA/test/248_6.jpg    
  inflating: testA/test/60_4.jpg     
  inflating: testA/test/352_21.jpg   
  inflating: testA/test/46_19.jpg    
  inflating: testA/test/116_12.jpg   
  inflating: testA/test/455_16.jpg   
  inflating: testA/test/256_12.jpg   
  inflating: testA/test/467_0.jpg    
  inflating: testA/test/492_15.jpg   
  inflating: testA/test/224_2.jpg    
  inflating: testA/test/223_17.jpg   
  inflating: testA/test/247_17.jpg   
  inflating: testA/test/5_23.jpg     
  inflating: testA/test/354_8.jpg    
  inflating: testA/test/407_4.jpg    
  inflating: testA/test/396_20.jpg   
  inflating: testA/test/322_10.jpg   
  inflating: testA/test/220_12.jpg   
  inflating: testA/test/480_15.jpg   
  inflating: testA/test/14_6.jpg     
  inflating: testA/test/337_5.jpg    
  inflating: testA/test/267_19.jpg   
  inflating: testA/test/192_17.jpg   
  inflating: testA/test/380_7.jpg    
  inflating: testA/test/383_10.jpg   
  inflating: testA/test/305_22.jpg   
  inflating: testA/test/87_4.jpg     
  inflating: testA/test/377_8.jpg    
  inflating: testA/test/299_19.jpg   
  inflating: testA/test/374_0.jpg    
  inflating: testA/test/163_1.jpg    
  inflating: testA/test/156_19.jpg   
  inflating: testA/test/194_8.jpg    
  inflating: testA/test/498_20.jpg   
  inflating: testA/test/271_22.jpg   
  inflating: testA/test/211_22.jpg   
  inflating: testA/test/493_22.jpg   
  inflating: testA/test/496_15.jpg   
  inflating: testA/test/207_7.jpg    
  inflating: testA/test/343_0.jpg    
  inflating: testA/test/244_14.jpg   
  inflating: testA/test/311_15.jpg   
  inflating: testA/test/469_14.jpg   
  inflating: testA/test/212_23.jpg   
  inflating: testA/test/387_10.jpg   
  inflating: testA/test/468_7.jpg    
  inflating: testA/test/406_10.jpg   
  inflating: testA/test/142_11.jpg   
  inflating: testA/test/73_23.jpg    
  inflating: testA/test/272_7.jpg    
  inflating: testA/test/94_15.jpg    
  inflating: testA/test/332_3.jpg    
  inflating: testA/test/301_6.jpg    
  inflating: testA/test/436_2.jpg    
  inflating: testA/test/245_10.jpg   
  inflating: testA/test/13_22.jpg    
  inflating: testA/test/252_3.jpg    
  inflating: testA/test/250_10.jpg   
  inflating: testA/test/18_2.jpg     
  inflating: testA/test/480_16.jpg   
  inflating: testA/test/360_14.jpg   
  inflating: testA/test/490_18.jpg   
  inflating: testA/test/223_20.jpg   
  inflating: testA/test/471_9.jpg    
  inflating: testA/test/482_16.jpg   
  inflating: testA/test/245_1.jpg    
  inflating: testA/test/322_1.jpg    
  inflating: testA/test/92_0.jpg     
  inflating: testA/test/234_5.jpg    
  inflating: testA/test/55_5.jpg     
  inflating: testA/test/66_8.jpg     
  inflating: testA/test/102_15.jpg   
  inflating: testA/test/410_23.jpg   
  inflating: testA/test/136_2.jpg    
  inflating: testA/test/344_15.jpg   
  inflating: testA/test/433_18.jpg   
  inflating: testA/test/172_4.jpg    
  inflating: testA/test/359_9.jpg    
  inflating: testA/test/382_17.jpg   
  inflating: testA/test/386_1.jpg    
  inflating: testA/test/142_13.jpg   
  inflating: testA/test/208_6.jpg    
  inflating: testA/test/90_5.jpg     
  inflating: testA/test/25_15.jpg    
  inflating: testA/test/26_23.jpg    
  inflating: testA/test/182_12.jpg   
  inflating: testA/test/185_15.jpg   
  inflating: testA/test/82_21.jpg    
  inflating: testA/test/497_17.jpg   
  inflating: testA/test/345_12.jpg   
  inflating: testA/test/212_10.jpg   
  inflating: testA/test/303_2.jpg    
  inflating: testA/test/187_12.jpg   
  inflating: testA/test/102_19.jpg   
  inflating: testA/test/108_20.jpg   
  inflating: testA/test/111_0.jpg    
  inflating: testA/test/432_3.jpg    
  inflating: testA/test/97_6.jpg     
  inflating: testA/test/10_3.jpg     
  inflating: testA/test/409_16.jpg   
  inflating: testA/test/53_12.jpg    
  inflating: testA/test/214_15.jpg   
  inflating: testA/test/12_17.jpg    
  inflating: testA/test/238_0.jpg    
  inflating: testA/test/37_15.jpg    
  inflating: testA/test/194_12.jpg   
  inflating: testA/test/12_18.jpg    
  inflating: testA/test/291_0.jpg    
  inflating: testA/test/433_8.jpg    
  inflating: testA/test/109_5.jpg    
  inflating: testA/test/321_14.jpg   
  inflating: testA/test/8_15.jpg     
  inflating: testA/test/437_16.jpg   
  inflating: testA/test/161_4.jpg    
  inflating: testA/test/8_0.jpg      
  inflating: testA/test/479_10.jpg   
  inflating: testA/test/476_7.jpg    
  inflating: testA/test/174_1.jpg    
  inflating: testA/test/430_16.jpg   
  inflating: testA/test/45_22.jpg    
  inflating: testA/test/226_21.jpg   
  inflating: testA/test/454_11.jpg   
  inflating: testA/test/48_2.jpg     
  inflating: testA/test/369_23.jpg   
  inflating: testA/test/18_22.jpg    
  inflating: testA/test/427_2.jpg    
  inflating: testA/test/431_13.jpg   
  inflating: testA/test/295_1.jpg    
  inflating: testA/test/141_12.jpg   
  inflating: testA/test/226_22.jpg   
  inflating: testA/test/59_18.jpg    
  inflating: testA/test/373_18.jpg   
  inflating: testA/test/208_5.jpg    
  inflating: testA/test/348_23.jpg   
  inflating: testA/test/19_8.jpg     
  inflating: testA/test/188_23.jpg   
  inflating: testA/test/30_2.jpg     
  inflating: testA/test/107_2.jpg    
  inflating: testA/test/493_12.jpg   
  inflating: testA/test/119_10.jpg   
  inflating: testA/test/29_10.jpg    
  inflating: testA/test/135_16.jpg   
  inflating: testA/test/99_16.jpg    
  inflating: testA/test/485_7.jpg    
  inflating: testA/test/85_23.jpg    
  inflating: testA/test/496_7.jpg    
  inflating: testA/test/79_12.jpg    
  inflating: testA/test/123_20.jpg   
  inflating: testA/test/179_7.jpg    
  inflating: testA/test/207_19.jpg   
  inflating: testA/test/435_21.jpg   
  inflating: testA/test/27_20.jpg    
  inflating: testA/test/115_3.jpg    
  inflating: testA/test/191_16.jpg   
  inflating: testA/test/266_6.jpg    
  inflating: testA/test/371_7.jpg    
  inflating: testA/test/307_6.jpg    
  inflating: testA/test/362_3.jpg    
  inflating: testA/test/262_23.jpg   
  inflating: testA/test/160_1.jpg    
  inflating: testA/test/354_22.jpg   
  inflating: testA/test/308_23.jpg   
  inflating: testA/test/6_10.jpg     
  inflating: testA/test/358_21.jpg   
  inflating: testA/test/246_5.jpg    
  inflating: testA/test/345_23.jpg   
  inflating: testA/test/15_16.jpg    
  inflating: testA/test/254_14.jpg   
  inflating: testA/test/262_8.jpg    
  inflating: testA/test/249_0.jpg    
  inflating: testA/test/93_13.jpg    
  inflating: testA/test/218_21.jpg   
  inflating: testA/test/331_23.jpg   
  inflating: testA/test/2_20.jpg     
  inflating: testA/test/455_22.jpg   
  inflating: testA/test/141_22.jpg   
  inflating: testA/test/444_6.jpg    
  inflating: testA/test/57_0.jpg     
  inflating: testA/test/382_12.jpg   
  inflating: testA/test/93_4.jpg     
  inflating: testA/test/89_17.jpg    
  inflating: testA/test/154_10.jpg   
  inflating: testA/test/353_0.jpg    
  inflating: testA/test/294_0.jpg    
  inflating: testA/test/187_7.jpg    
  inflating: testA/test/79_18.jpg    
  inflating: testA/test/312_21.jpg   
  inflating: testA/test/441_10.jpg   
  inflating: testA/test/150_21.jpg   
  inflating: testA/test/361_9.jpg    
  inflating: testA/test/332_11.jpg   
  inflating: testA/test/276_22.jpg   
  inflating: testA/test/335_15.jpg   
  inflating: testA/test/444_2.jpg    
  inflating: testA/test/120_19.jpg   
  inflating: testA/test/295_13.jpg   
  inflating: testA/test/393_14.jpg   
  inflating: testA/test/108_10.jpg   
  inflating: testA/test/175_2.jpg    
  inflating: testA/test/165_20.jpg   
  inflating: testA/test/157_12.jpg   
  inflating: testA/test/161_8.jpg    
  inflating: testA/test/284_2.jpg    
  inflating: testA/test/274_10.jpg   
  inflating: testA/test/458_10.jpg   
  inflating: testA/test/344_17.jpg   
  inflating: testA/test/244_10.jpg   
  inflating: testA/test/345_1.jpg    
  inflating: testA/test/130_14.jpg   
  inflating: testA/test/203_0.jpg    
  inflating: testA/test/34_20.jpg    
  inflating: testA/test/316_0.jpg    
  inflating: testA/test/451_11.jpg   
  inflating: testA/test/13_12.jpg    
  inflating: testA/test/119_9.jpg    
  inflating: testA/test/51_20.jpg    
  inflating: testA/test/363_3.jpg    
  inflating: testA/test/496_16.jpg   
  inflating: testA/test/384_14.jpg   
  inflating: testA/test/251_20.jpg   
  inflating: testA/test/92_3.jpg     
  inflating: testA/test/373_1.jpg    
  inflating: testA/test/133_6.jpg    
  inflating: testA/test/360_8.jpg    
  inflating: testA/test/0_22.jpg     
  inflating: testA/test/109_3.jpg    
  inflating: testA/test/174_7.jpg    
  inflating: testA/test/49_4.jpg     
  inflating: testA/test/150_9.jpg    
  inflating: testA/test/385_15.jpg   
  inflating: testA/test/251_23.jpg   
  inflating: testA/test/386_13.jpg   
  inflating: testA/test/427_10.jpg   
  inflating: testA/test/382_2.jpg    
  inflating: testA/test/269_14.jpg   
  inflating: testA/test/369_18.jpg   
  inflating: testA/test/427_20.jpg   
  inflating: testA/test/90_20.jpg    
  inflating: testA/test/69_21.jpg    
  inflating: testA/test/14_20.jpg    
  inflating: testA/test/52_3.jpg     
  inflating: testA/test/216_22.jpg   
  inflating: testA/test/130_12.jpg   
  inflating: testA/test/100_6.jpg    
  inflating: testA/test/244_16.jpg   
  inflating: testA/test/461_22.jpg   
  inflating: testA/test/391_21.jpg   
  inflating: testA/test/61_2.jpg     
  inflating: testA/test/464_10.jpg   
  inflating: testA/test/488_23.jpg   
  inflating: testA/test/478_21.jpg   
  inflating: testA/test/181_12.jpg   
  inflating: testA/test/332_16.jpg   
  inflating: testA/test/99_20.jpg    
  inflating: testA/test/46_15.jpg    
  inflating: testA/test/173_13.jpg   
  inflating: testA/test/429_14.jpg   
  inflating: testA/test/187_18.jpg   
  inflating: testA/test/53_6.jpg     
  inflating: testA/test/323_12.jpg   
  inflating: testA/test/329_21.jpg   
  inflating: testA/test/85_10.jpg    
  inflating: testA/test/80_23.jpg    
  inflating: testA/test/3_4.jpg      
  inflating: testA/test/405_21.jpg   
  inflating: testA/test/225_13.jpg   
  inflating: testA/test/186_8.jpg    
  inflating: testA/test/42_8.jpg     
  inflating: testA/test/112_22.jpg   
  inflating: testA/test/228_5.jpg    
  inflating: testA/test/83_22.jpg    
  inflating: testA/test/371_6.jpg    
  inflating: testA/test/160_0.jpg    
  inflating: testA/test/234_6.jpg    
  inflating: testA/test/46_14.jpg    
  inflating: testA/test/240_19.jpg   
  inflating: testA/test/56_20.jpg    
  inflating: testA/test/58_7.jpg     
  inflating: testA/test/302_23.jpg   
  inflating: testA/test/347_3.jpg    
  inflating: testA/test/313_5.jpg    
  inflating: testA/test/293_1.jpg    
  inflating: testA/test/116_16.jpg   
  inflating: testA/test/335_14.jpg   
  inflating: testA/test/378_21.jpg   
  inflating: testA/test/473_10.jpg   
  inflating: testA/test/70_4.jpg     
  inflating: testA/test/474_20.jpg   
  inflating: testA/test/436_5.jpg    
  inflating: testA/test/184_1.jpg    
  inflating: testA/test/60_18.jpg    
  inflating: testA/test/357_12.jpg   
  inflating: testA/test/450_8.jpg    
  inflating: testA/test/105_9.jpg    
  inflating: testA/test/361_10.jpg   
  inflating: testA/test/463_15.jpg   
  inflating: testA/test/144_3.jpg    
  inflating: testA/test/211_6.jpg    
  inflating: testA/test/108_22.jpg   
  inflating: testA/test/39_16.jpg    
  inflating: testA/test/284_19.jpg   
  inflating: testA/test/309_4.jpg    
  inflating: testA/test/157_4.jpg    
  inflating: testA/test/372_2.jpg    
  inflating: testA/test/164_3.jpg    
  inflating: testA/test/234_4.jpg    
  inflating: testA/test/398_0.jpg    
  inflating: testA/test/307_14.jpg   
  inflating: testA/test/28_11.jpg    
  inflating: testA/test/100_12.jpg   
  inflating: testA/test/295_4.jpg    
  inflating: testA/test/154_1.jpg    
  inflating: testA/test/431_18.jpg   
  inflating: testA/test/92_14.jpg    
  inflating: testA/test/256_9.jpg    
  inflating: testA/test/392_9.jpg    
  inflating: testA/test/191_5.jpg    
  inflating: testA/test/290_11.jpg   
  inflating: testA/test/38_1.jpg     
  inflating: testA/test/122_0.jpg    
  inflating: testA/test/417_12.jpg   
  inflating: testA/test/277_17.jpg   
  inflating: testA/test/231_1.jpg    
  inflating: testA/test/462_4.jpg    
  inflating: testA/test/274_8.jpg    
  inflating: testA/test/266_8.jpg    
  inflating: testA/test/77_10.jpg    
  inflating: testA/test/72_11.jpg    
  inflating: testA/test/415_19.jpg   
  inflating: testA/test/461_19.jpg   
  inflating: testA/test/207_17.jpg   
  inflating: testA/test/409_5.jpg    
  inflating: testA/test/487_6.jpg    
  inflating: testA/test/336_1.jpg    
  inflating: testA/test/235_11.jpg   
  inflating: testA/test/461_2.jpg    
  inflating: testA/test/87_18.jpg    
  inflating: testA/test/464_7.jpg    
  inflating: testA/test/230_0.jpg    
  inflating: testA/test/219_18.jpg   
  inflating: testA/test/309_10.jpg   
  inflating: testA/test/94_16.jpg    
  inflating: testA/test/399_4.jpg    
  inflating: testA/test/451_19.jpg   
  inflating: testA/test/419_21.jpg   
  inflating: testA/test/210_4.jpg    
  inflating: testA/test/406_2.jpg    
  inflating: testA/test/299_2.jpg    
  inflating: testA/test/463_8.jpg    
  inflating: testA/test/271_6.jpg    
  inflating: testA/test/495_22.jpg   
  inflating: testA/test/192_1.jpg    
  inflating: testA/test/61_16.jpg    
  inflating: testA/test/69_8.jpg     
  inflating: testA/test/307_19.jpg   
  inflating: testA/test/274_6.jpg    
  inflating: testA/test/55_12.jpg    
  inflating: testA/test/11_14.jpg    
  inflating: testA/test/467_12.jpg   
  inflating: testA/test/489_12.jpg   
  inflating: testA/test/498_13.jpg   
  inflating: testA/test/104_19.jpg   
  inflating: testA/test/331_7.jpg    
  inflating: testA/test/98_23.jpg    
  inflating: testA/test/38_8.jpg     
  inflating: testA/test/72_7.jpg     
  inflating: testA/test/379_6.jpg    
  inflating: testA/test/171_22.jpg   
  inflating: testA/test/245_15.jpg   
  inflating: testA/test/322_16.jpg   
  inflating: testA/test/192_8.jpg    
  inflating: testA/test/480_5.jpg    
  inflating: testA/test/246_16.jpg   
  inflating: testA/test/221_18.jpg   
  inflating: testA/test/105_8.jpg    
  inflating: testA/test/482_4.jpg    
  inflating: testA/test/74_20.jpg    
  inflating: testA/test/19_16.jpg    
  inflating: testA/test/488_14.jpg   
  inflating: testA/test/175_13.jpg   
  inflating: testA/test/467_6.jpg    
  inflating: testA/test/175_1.jpg    
  inflating: testA/test/411_2.jpg    
  inflating: testA/test/368_15.jpg   
  inflating: testA/test/148_21.jpg   
  inflating: testA/test/341_13.jpg   
  inflating: testA/test/4_17.jpg     
  inflating: testA/test/357_6.jpg    
  inflating: testA/test/351_21.jpg   
  inflating: testA/test/284_14.jpg   
  inflating: testA/test/452_21.jpg   
  inflating: testA/test/182_22.jpg   
  inflating: testA/test/433_20.jpg   
  inflating: testA/test/417_3.jpg    
  inflating: testA/test/225_8.jpg    
  inflating: testA/test/331_13.jpg   
  inflating: testA/test/63_17.jpg    
  inflating: testA/test/483_19.jpg   
  inflating: testA/test/233_23.jpg   
  inflating: testA/test/185_5.jpg    
  inflating: testA/test/196_16.jpg   
  inflating: testA/test/227_2.jpg    
  inflating: testA/test/398_16.jpg   
  inflating: testA/test/22_1.jpg     
  inflating: testA/test/278_8.jpg    
  inflating: testA/test/387_12.jpg   
  inflating: testA/test/349_9.jpg    
  inflating: testA/test/52_16.jpg    
  inflating: testA/test/447_11.jpg   
  inflating: testA/test/130_21.jpg   
  inflating: testA/test/496_10.jpg   
  inflating: testA/test/274_1.jpg    
  inflating: testA/test/465_12.jpg   
  inflating: testA/test/349_0.jpg    
  inflating: testA/test/129_7.jpg    
  inflating: testA/test/89_4.jpg     
  inflating: testA/test/101_16.jpg   
  inflating: testA/test/406_17.jpg   
  inflating: testA/test/52_5.jpg     
  inflating: testA/test/295_5.jpg    
  inflating: testA/test/288_6.jpg    
  inflating: testA/test/286_13.jpg   
  inflating: testA/test/2_19.jpg     
  inflating: testA/test/157_19.jpg   
  inflating: testA/test/55_15.jpg    
  inflating: testA/test/162_21.jpg   
  inflating: testA/test/280_20.jpg   
  inflating: testA/test/394_8.jpg    
  inflating: testA/test/329_13.jpg   
  inflating: testA/test/249_21.jpg   
  inflating: testA/test/110_14.jpg   
  inflating: testA/test/257_4.jpg    
  inflating: testA/test/300_17.jpg   
  inflating: testA/test/110_10.jpg   
  inflating: testA/test/0_19.jpg     
  inflating: testA/test/34_5.jpg     
  inflating: testA/test/172_8.jpg    
  inflating: testA/test/491_10.jpg   
  inflating: testA/test/397_20.jpg   
  inflating: testA/test/290_1.jpg    
  inflating: testA/test/59_9.jpg     
  inflating: testA/test/20_9.jpg     
  inflating: testA/test/330_17.jpg   
  inflating: testA/test/53_11.jpg    
  inflating: testA/test/161_5.jpg    
  inflating: testA/test/284_12.jpg   
  inflating: testA/test/132_4.jpg    
  inflating: testA/test/267_20.jpg   
  inflating: testA/test/237_12.jpg   
  inflating: testA/test/229_3.jpg    
  inflating: testA/test/321_8.jpg    
  inflating: testA/test/94_7.jpg     
  inflating: testA/test/194_0.jpg    
  inflating: testA/test/305_4.jpg    
  inflating: testA/test/45_21.jpg    
  inflating: testA/test/75_14.jpg    
  inflating: testA/test/286_5.jpg    
  inflating: testA/test/261_11.jpg   
  inflating: testA/test/87_17.jpg    
  inflating: testA/test/382_16.jpg   
  inflating: testA/test/282_12.jpg   
  inflating: testA/test/218_9.jpg    
  inflating: testA/test/16_19.jpg    
  inflating: testA/test/166_19.jpg   
  inflating: testA/test/19_18.jpg    
  inflating: testA/test/47_11.jpg    
  inflating: testA/test/396_14.jpg   
  inflating: testA/test/173_0.jpg    
  inflating: testA/test/407_0.jpg    
  inflating: testA/test/305_19.jpg   
  inflating: testA/test/309_21.jpg   
  inflating: testA/test/482_14.jpg   
  inflating: testA/test/411_4.jpg    
  inflating: testA/test/70_15.jpg    
  inflating: testA/test/323_20.jpg   
  inflating: testA/test/333_6.jpg    
  inflating: testA/test/90_16.jpg    
  inflating: testA/test/485_10.jpg   
  inflating: testA/test/423_8.jpg    
  inflating: testA/test/48_10.jpg    
  inflating: testA/test/483_4.jpg    
  inflating: testA/test/275_5.jpg    
  inflating: testA/test/338_19.jpg   
  inflating: testA/test/58_19.jpg    
  inflating: testA/test/484_5.jpg    
  inflating: testA/test/438_12.jpg   
  inflating: testA/test/153_16.jpg   
  inflating: testA/test/431_20.jpg   
  inflating: testA/test/284_1.jpg    
  inflating: testA/test/321_9.jpg    
  inflating: testA/test/375_11.jpg   
  inflating: testA/test/402_12.jpg   
  inflating: testA/test/63_22.jpg    
  inflating: testA/test/390_1.jpg    
  inflating: testA/test/366_5.jpg    
  inflating: testA/test/144_11.jpg   
  inflating: testA/test/274_20.jpg   
  inflating: testA/test/224_4.jpg    
  inflating: testA/test/460_8.jpg    
  inflating: testA/test/163_5.jpg    
  inflating: testA/test/130_16.jpg   
  inflating: testA/test/450_5.jpg    
  inflating: testA/test/39_0.jpg     
  inflating: testA/test/291_21.jpg   
  inflating: testA/test/333_0.jpg    
  inflating: testA/test/492_8.jpg    
  inflating: testA/test/467_3.jpg    
  inflating: testA/test/199_20.jpg   
  inflating: testA/test/378_0.jpg    
  inflating: testA/test/413_15.jpg   
  inflating: testA/test/66_5.jpg     
  inflating: testA/test/383_6.jpg    
  inflating: testA/test/394_16.jpg   
  inflating: testA/test/64_16.jpg    
  inflating: testA/test/452_1.jpg    
  inflating: testA/test/78_11.jpg    
  inflating: testA/test/490_9.jpg    
  inflating: testA/test/23_14.jpg    
  inflating: testA/test/26_7.jpg     
  inflating: testA/test/450_20.jpg   
  inflating: testA/test/293_14.jpg   
  inflating: testA/test/490_6.jpg    
  inflating: testA/test/35_7.jpg     
  inflating: testA/test/49_6.jpg     
  inflating: testA/test/331_16.jpg   
  inflating: testA/test/418_8.jpg    
  inflating: testA/test/110_1.jpg    
  inflating: testA/test/414_17.jpg   
  inflating: testA/test/134_2.jpg    
  inflating: testA/test/211_4.jpg    
  inflating: testA/test/4_18.jpg     
  inflating: testA/test/335_6.jpg    
  inflating: testA/test/178_10.jpg   
  inflating: testA/test/160_14.jpg   
  inflating: testA/test/233_20.jpg   
  inflating: testA/test/208_15.jpg   
  inflating: testA/test/205_7.jpg    
  inflating: testA/test/488_10.jpg   
  inflating: testA/test/107_20.jpg   
  inflating: testA/test/290_14.jpg   
  inflating: testA/test/451_0.jpg    
  inflating: testA/test/491_14.jpg   
  inflating: testA/test/163_11.jpg   
  inflating: testA/test/65_0.jpg     
  inflating: testA/test/127_11.jpg   
  inflating: testA/test/356_15.jpg   
  inflating: testA/test/120_18.jpg   
  inflating: testA/test/407_7.jpg    
  inflating: testA/test/256_15.jpg   
  inflating: testA/test/351_9.jpg    
  inflating: testA/test/159_0.jpg    
  inflating: testA/test/105_0.jpg    
  inflating: testA/test/148_6.jpg    
  inflating: testA/test/365_13.jpg   
  inflating: testA/test/472_15.jpg   
  inflating: testA/test/225_14.jpg   
  inflating: testA/test/439_13.jpg   
  inflating: testA/test/360_22.jpg   
  inflating: testA/test/171_9.jpg    
  inflating: testA/test/349_20.jpg   
  inflating: testA/test/81_13.jpg    
  inflating: testA/test/383_7.jpg    
  inflating: testA/test/243_16.jpg   
  inflating: testA/test/425_14.jpg   
  inflating: testA/test/115_8.jpg    
  inflating: testA/test/132_0.jpg    
  inflating: testA/test/467_13.jpg   
  inflating: testA/test/333_20.jpg   
  inflating: testA/test/264_4.jpg    
  inflating: testA/test/139_15.jpg   
  inflating: testA/test/265_1.jpg    
  inflating: testA/test/400_23.jpg   
  inflating: testA/test/128_6.jpg    
  inflating: testA/test/218_17.jpg   
  inflating: testA/test/24_11.jpg    
  inflating: testA/test/468_12.jpg   
  inflating: testA/test/306_10.jpg   
  inflating: testA/test/67_18.jpg    
  inflating: testA/test/109_10.jpg   
  inflating: testA/test/226_7.jpg    
  inflating: testA/test/424_13.jpg   
  inflating: testA/test/281_15.jpg   
  inflating: testA/test/445_23.jpg   
  inflating: testA/test/497_18.jpg   
  inflating: testA/test/78_17.jpg    
  inflating: testA/test/217_20.jpg   
  inflating: testA/test/91_6.jpg     
  inflating: testA/test/144_19.jpg   
  inflating: testA/test/333_11.jpg   
  inflating: testA/test/499_13.jpg   
  inflating: testA/test/88_1.jpg     
  inflating: testA/test/332_19.jpg   
  inflating: testA/test/346_16.jpg   
  inflating: testA/test/426_9.jpg    
  inflating: testA/test/254_10.jpg   
  inflating: testA/test/250_22.jpg   
  inflating: testA/test/15_13.jpg    
  inflating: testA/test/192_2.jpg    
  inflating: testA/test/345_6.jpg    
  inflating: testA/test/459_21.jpg   
  inflating: testA/test/262_14.jpg   
  inflating: testA/test/478_23.jpg   
  inflating: testA/test/262_10.jpg   
  inflating: testA/test/199_17.jpg   
  inflating: testA/test/26_19.jpg    
  inflating: testA/test/342_11.jpg   
  inflating: testA/test/454_14.jpg   
  inflating: testA/test/180_20.jpg   
  inflating: testA/test/339_7.jpg    
  inflating: testA/test/425_17.jpg   
  inflating: testA/test/144_6.jpg    
  inflating: testA/test/240_16.jpg   
  inflating: testA/test/55_18.jpg    
  inflating: testA/test/448_17.jpg   
  inflating: testA/test/341_2.jpg    
  inflating: testA/test/288_10.jpg   
  inflating: testA/test/18_3.jpg     
  inflating: testA/test/106_21.jpg   
  inflating: testA/test/429_2.jpg    
  inflating: testA/test/332_12.jpg   
  inflating: testA/test/91_21.jpg    
  inflating: testA/test/456_6.jpg    
  inflating: testA/test/341_3.jpg    
  inflating: testA/test/32_21.jpg    
  inflating: testA/test/180_0.jpg    
  inflating: testA/test/27_3.jpg     
  inflating: testA/test/68_20.jpg    
  inflating: testA/test/400_5.jpg    
  inflating: testA/test/459_7.jpg    
  inflating: testA/test/353_6.jpg    
  inflating: testA/test/435_8.jpg    
  inflating: testA/test/197_0.jpg    
  inflating: testA/test/80_3.jpg     
  inflating: testA/test/395_15.jpg   
  inflating: testA/test/432_9.jpg    
  inflating: testA/test/267_10.jpg   
  inflating: testA/test/428_12.jpg   
  inflating: testA/test/405_10.jpg   
  inflating: testA/test/313_9.jpg    
  inflating: testA/test/198_12.jpg   
  inflating: testA/test/363_8.jpg    
  inflating: testA/test/71_18.jpg    
  inflating: testA/test/33_15.jpg    
  inflating: testA/test/123_12.jpg   
  inflating: testA/test/337_1.jpg    
  inflating: testA/test/371_19.jpg   
  inflating: testA/test/258_7.jpg    
  inflating: testA/test/314_7.jpg    
  inflating: testA/test/95_10.jpg    
  inflating: testA/test/286_18.jpg   
  inflating: testA/test/349_21.jpg   
  inflating: testA/test/71_15.jpg    
  inflating: testA/test/181_17.jpg   
  inflating: testA/test/165_19.jpg   
  inflating: testA/test/161_15.jpg   
  inflating: testA/test/127_10.jpg   
  inflating: testA/test/352_19.jpg   
  inflating: testA/test/433_9.jpg    
  inflating: testA/test/419_2.jpg    
  inflating: testA/test/289_21.jpg   
  inflating: testA/test/86_3.jpg     
  inflating: testA/test/208_8.jpg    
  inflating: testA/test/218_7.jpg    
  inflating: testA/test/456_20.jpg   
  inflating: testA/test/462_11.jpg   
  inflating: testA/test/220_15.jpg   
  inflating: testA/test/330_8.jpg    
  inflating: testA/test/465_19.jpg   
  inflating: testA/test/387_23.jpg   
  inflating: testA/test/351_8.jpg    
  inflating: testA/test/93_7.jpg     
  inflating: testA/test/111_4.jpg    
  inflating: testA/test/335_11.jpg   
  inflating: testA/test/403_23.jpg   
  inflating: testA/test/381_20.jpg   
  inflating: testA/test/308_14.jpg   
  inflating: testA/test/457_18.jpg   
  inflating: testA/test/246_17.jpg   
  inflating: testA/test/168_12.jpg   
  inflating: testA/test/374_15.jpg   
  inflating: testA/test/324_6.jpg    
  inflating: testA/test/369_2.jpg    
  inflating: testA/test/449_7.jpg    
  inflating: testA/test/325_5.jpg    
  inflating: testA/test/91_20.jpg    
  inflating: testA/test/255_19.jpg   
  inflating: testA/test/13_15.jpg    
  inflating: testA/test/338_22.jpg   
  inflating: testA/test/24_6.jpg     
  inflating: testA/test/382_10.jpg   
  inflating: testA/test/239_15.jpg   
  inflating: testA/test/358_5.jpg    
  inflating: testA/test/245_20.jpg   
  inflating: testA/test/242_11.jpg   
  inflating: testA/test/115_13.jpg   
  inflating: testA/test/141_7.jpg    
  inflating: testA/test/296_9.jpg    
  inflating: testA/test/39_13.jpg    
  inflating: testA/test/396_15.jpg   
  inflating: testA/test/191_11.jpg   
  inflating: testA/test/137_20.jpg   
  inflating: testA/test/414_2.jpg    
  inflating: testA/test/460_17.jpg   
  inflating: testA/test/399_6.jpg    
  inflating: testA/test/334_21.jpg   
  inflating: testA/test/331_14.jpg   
  inflating: testA/test/162_11.jpg   
  inflating: testA/test/480_14.jpg   
  inflating: testA/test/93_15.jpg    
  inflating: testA/test/291_18.jpg   
  inflating: testA/test/28_16.jpg    
  inflating: testA/test/301_20.jpg   
  inflating: testA/test/213_5.jpg    
  inflating: testA/test/47_16.jpg    
  inflating: testA/test/54_10.jpg    
  inflating: testA/test/402_10.jpg   
  inflating: testA/test/256_4.jpg    
  inflating: testA/test/267_7.jpg    
  inflating: testA/test/196_5.jpg    
  inflating: testA/test/329_20.jpg   
  inflating: testA/test/193_9.jpg    
  inflating: testA/test/254_5.jpg    
  inflating: testA/test/328_11.jpg   
  inflating: testA/test/339_17.jpg   
  inflating: testA/test/102_22.jpg   
  inflating: testA/test/252_16.jpg   
  inflating: testA/test/138_15.jpg   
  inflating: testA/test/231_13.jpg   
  inflating: testA/test/297_7.jpg    
  inflating: testA/test/171_7.jpg    
  inflating: testA/test/472_23.jpg   
  inflating: testA/test/161_13.jpg   
  inflating: testA/test/45_1.jpg     
  inflating: testA/test/29_1.jpg     
  inflating: testA/test/214_2.jpg    
  inflating: testA/test/232_19.jpg   
  inflating: testA/test/408_22.jpg   
  inflating: testA/test/94_22.jpg    
  inflating: testA/test/269_2.jpg    
  inflating: testA/test/446_5.jpg    
  inflating: testA/test/36_8.jpg     
  inflating: testA/test/137_6.jpg    
  inflating: testA/test/163_7.jpg    
  inflating: testA/test/420_3.jpg    
  inflating: testA/test/75_18.jpg    
  inflating: testA/test/295_6.jpg    
  inflating: testA/test/470_14.jpg   
  inflating: testA/test/71_8.jpg     
  inflating: testA/test/160_8.jpg    
  inflating: testA/test/365_8.jpg    
  inflating: testA/test/481_4.jpg    
  inflating: testA/test/311_11.jpg   
  inflating: testA/test/233_18.jpg   
  inflating: testA/test/17_3.jpg     
  inflating: testA/test/65_22.jpg    
  inflating: testA/test/278_16.jpg   
  inflating: testA/test/267_17.jpg   
  inflating: testA/test/494_16.jpg   
  inflating: testA/test/415_10.jpg   
  inflating: testA/test/329_19.jpg   
  inflating: testA/test/50_21.jpg    
  inflating: testA/test/270_14.jpg   
  inflating: testA/test/176_14.jpg   
  inflating: testA/test/335_10.jpg   
  inflating: testA/test/163_14.jpg   
  inflating: testA/test/427_6.jpg    
  inflating: testA/test/105_20.jpg   
  inflating: testA/test/415_9.jpg    
  inflating: testA/test/302_8.jpg    
  inflating: testA/test/455_6.jpg    
  inflating: testA/test/65_6.jpg     
  inflating: testA/test/58_20.jpg    
  inflating: testA/test/88_18.jpg    
  inflating: testA/test/12_22.jpg    
  inflating: testA/test/0_4.jpg      
  inflating: testA/test/32_16.jpg    
  inflating: testA/test/335_0.jpg    
  inflating: testA/test/158_2.jpg    
  inflating: testA/test/230_20.jpg   
  inflating: testA/test/245_7.jpg    
  inflating: testA/test/397_19.jpg   
  inflating: testA/test/278_5.jpg    
  inflating: testA/test/285_19.jpg   
  inflating: testA/test/297_4.jpg    
  inflating: testA/test/150_22.jpg   
  inflating: testA/test/291_15.jpg   
  inflating: testA/test/60_3.jpg     
  inflating: testA/test/301_11.jpg   
  inflating: testA/test/133_9.jpg    
  inflating: testA/test/480_20.jpg   
  inflating: testA/test/182_17.jpg   
  inflating: testA/test/276_15.jpg   
  inflating: testA/test/352_1.jpg    
  inflating: testA/test/164_1.jpg    
  inflating: testA/test/30_13.jpg    
  inflating: testA/test/122_21.jpg   
  inflating: testA/test/368_21.jpg   
  inflating: testA/test/493_6.jpg    
  inflating: testA/test/454_10.jpg   
  inflating: testA/test/358_14.jpg   
  inflating: testA/test/140_10.jpg   
  inflating: testA/test/368_18.jpg   
  inflating: testA/test/132_1.jpg    
  inflating: testA/test/317_8.jpg    
  inflating: testA/test/488_18.jpg   
  inflating: testA/test/390_2.jpg    
  inflating: testA/test/15_10.jpg    
  inflating: testA/test/151_6.jpg    
  inflating: testA/test/191_10.jpg   
  inflating: testA/test/277_12.jpg   
  inflating: testA/test/177_18.jpg   
  inflating: testA/test/430_15.jpg   
  inflating: testA/test/220_2.jpg    
  inflating: testA/test/171_17.jpg   
  inflating: testA/test/131_6.jpg    
  inflating: testA/test/313_14.jpg   
  inflating: testA/test/373_22.jpg   
  inflating: testA/test/25_7.jpg     
  inflating: testA/test/411_17.jpg   
  inflating: testA/test/181_5.jpg    
  inflating: testA/test/47_4.jpg     
  inflating: testA/test/161_11.jpg   
  inflating: testA/test/333_13.jpg   
  inflating: testA/test/55_4.jpg     
  inflating: testA/test/13_14.jpg    
  inflating: testA/test/380_23.jpg   
  inflating: testA/test/237_18.jpg   
  inflating: testA/test/72_3.jpg     
  inflating: testA/test/188_21.jpg   
  inflating: testA/test/117_16.jpg   
  inflating: testA/test/412_14.jpg   
  inflating: testA/test/14_15.jpg    
  inflating: testA/test/148_7.jpg    
  inflating: testA/test/133_12.jpg   
  inflating: testA/test/187_16.jpg   
  inflating: testA/test/133_22.jpg   
  inflating: testA/test/335_13.jpg   
  inflating: testA/test/201_19.jpg   
  inflating: testA/test/373_23.jpg   
  inflating: testA/test/114_11.jpg   
  inflating: testA/test/57_13.jpg    
  inflating: testA/test/340_7.jpg    
  inflating: testA/test/49_21.jpg    
  inflating: testA/test/280_2.jpg    
  inflating: testA/test/284_17.jpg   
  inflating: testA/test/250_0.jpg    
  inflating: testA/test/346_18.jpg   
  inflating: testA/test/447_2.jpg    
  inflating: testA/test/264_16.jpg   
  inflating: testA/test/341_8.jpg    
  inflating: testA/test/56_7.jpg     
  inflating: testA/test/276_13.jpg   
  inflating: testA/test/421_3.jpg    
  inflating: testA/test/173_22.jpg   
  inflating: testA/test/374_18.jpg   
  inflating: testA/test/470_13.jpg   
  inflating: testA/test/388_6.jpg    
  inflating: testA/test/301_22.jpg   
  inflating: testA/test/200_21.jpg   
  inflating: testA/test/107_23.jpg   
  inflating: testA/test/248_1.jpg    
  inflating: testA/test/101_8.jpg    
  inflating: testA/test/414_22.jpg   
  inflating: testA/test/430_2.jpg    
  inflating: testA/test/211_1.jpg    
  inflating: testA/test/376_17.jpg   
  inflating: testA/test/436_17.jpg   
  inflating: testA/test/357_10.jpg   
  inflating: testA/test/408_18.jpg   
  inflating: testA/test/436_8.jpg    
  inflating: testA/test/373_12.jpg   
  inflating: testA/test/352_16.jpg   
  inflating: testA/test/434_13.jpg   
  inflating: testA/test/306_3.jpg    
  inflating: testA/test/108_9.jpg    
  inflating: testA/test/354_1.jpg    
  inflating: testA/test/380_20.jpg   
  inflating: testA/test/164_0.jpg    
  inflating: testA/test/369_8.jpg    
  inflating: testA/test/438_20.jpg   
  inflating: testA/test/348_10.jpg   
  inflating: testA/test/127_7.jpg    
  inflating: testA/test/482_20.jpg   
  inflating: testA/test/438_3.jpg    
  inflating: testA/test/31_4.jpg     
  inflating: testA/test/479_13.jpg   
  inflating: testA/test/378_19.jpg   
  inflating: testA/test/268_13.jpg   
  inflating: testA/test/497_4.jpg    
  inflating: testA/test/185_12.jpg   
  inflating: testA/test/448_9.jpg    
  inflating: testA/test/445_19.jpg   
  inflating: testA/test/365_18.jpg   
  inflating: testA/test/20_10.jpg    
  inflating: testA/test/4_4.jpg      
  inflating: testA/test/442_15.jpg   
  inflating: testA/test/352_10.jpg   
  inflating: testA/test/37_1.jpg     
  inflating: testA/test/475_20.jpg   
  inflating: testA/test/19_20.jpg    
  inflating: testA/test/48_12.jpg    
  inflating: testA/test/125_19.jpg   
  inflating: testA/test/330_9.jpg    
  inflating: testA/test/165_15.jpg   
  inflating: testA/test/170_22.jpg   
  inflating: testA/test/462_8.jpg    
  inflating: testA/test/333_15.jpg   
  inflating: testA/test/373_2.jpg    
  inflating: testA/test/134_22.jpg   
  inflating: testA/test/161_20.jpg   
  inflating: testA/test/351_4.jpg    
  inflating: testA/test/206_10.jpg   
  inflating: testA/test/417_2.jpg    
  inflating: testA/test/350_10.jpg   
  inflating: testA/test/356_5.jpg    
  inflating: testA/test/378_22.jpg   
  inflating: testA/test/15_23.jpg    
  inflating: testA/test/139_17.jpg   
  inflating: testA/test/340_5.jpg    
  inflating: testA/test/125_23.jpg   
  inflating: testA/test/131_0.jpg    
  inflating: testA/test/46_1.jpg     
  inflating: testA/test/175_16.jpg   
  inflating: testA/test/497_8.jpg    
  inflating: testA/test/117_18.jpg   
  inflating: testA/test/312_1.jpg    
  inflating: testA/test/234_23.jpg   
  inflating: testA/test/235_12.jpg   
  inflating: testA/test/497_19.jpg   
  inflating: testA/test/64_22.jpg    
  inflating: testA/test/391_10.jpg   
  inflating: testA/test/422_11.jpg   
  inflating: testA/test/390_14.jpg   
  inflating: testA/test/345_5.jpg    
  inflating: testA/test/40_20.jpg    
  inflating: testA/test/166_11.jpg   
  inflating: testA/test/34_23.jpg    
  inflating: testA/test/25_8.jpg     
  inflating: testA/test/317_9.jpg    
  inflating: testA/test/339_14.jpg   
  inflating: testA/test/290_9.jpg    
  inflating: testA/test/83_16.jpg    
  inflating: testA/test/415_22.jpg   
  inflating: testA/test/38_5.jpg     
  inflating: testA/test/411_21.jpg   
  inflating: testA/test/116_3.jpg    
  inflating: testA/test/165_5.jpg    
  inflating: testA/test/51_6.jpg     
  inflating: testA/test/490_17.jpg   
  inflating: testA/test/176_7.jpg    
  inflating: testA/test/166_13.jpg   
  inflating: testA/test/213_16.jpg   
  inflating: testA/test/477_22.jpg   
  inflating: testA/test/220_18.jpg   
  inflating: testA/test/300_20.jpg   
  inflating: testA/test/436_7.jpg    
  inflating: testA/test/64_6.jpg     
  inflating: testA/test/155_17.jpg   
  inflating: testA/test/480_13.jpg   
  inflating: testA/test/229_17.jpg   
  inflating: testA/test/210_19.jpg   
  inflating: testA/test/204_15.jpg   
  inflating: testA/test/425_0.jpg    
  inflating: testA/test/319_13.jpg   
  inflating: testA/test/86_10.jpg    
  inflating: testA/test/319_7.jpg    
  inflating: testA/test/421_6.jpg    
  inflating: testA/test/138_5.jpg    
  inflating: testA/test/156_16.jpg   
  inflating: testA/test/398_3.jpg    
  inflating: testA/test/90_11.jpg    
  inflating: testA/test/428_6.jpg    
  inflating: testA/test/65_1.jpg     
  inflating: testA/test/42_11.jpg    
  inflating: testA/test/39_3.jpg     
  inflating: testA/test/342_22.jpg   
  inflating: testA/test/367_20.jpg   
  inflating: testA/test/268_9.jpg    
  inflating: testA/test/1_7.jpg      
  inflating: testA/test/349_3.jpg    
  inflating: testA/test/328_9.jpg    
  inflating: testA/test/183_6.jpg    
  inflating: testA/test/128_4.jpg    
  inflating: testA/test/480_0.jpg    
  inflating: testA/test/71_5.jpg     
  inflating: testA/test/39_1.jpg     
  inflating: testA/test/207_6.jpg    
  inflating: testA/test/200_7.jpg    
  inflating: testA/test/298_1.jpg    
  inflating: testA/test/275_7.jpg    
  inflating: testA/test/315_18.jpg   
  inflating: testA/test/281_19.jpg   
  inflating: testA/test/43_0.jpg     
  inflating: testA/test/482_8.jpg    
  inflating: testA/test/157_23.jpg   
  inflating: testA/test/121_13.jpg   
  inflating: testA/test/108_14.jpg   
  inflating: testA/test/268_1.jpg    
  inflating: testA/test/178_16.jpg   
  inflating: testA/test/304_16.jpg   
  inflating: testA/test/369_14.jpg   
  inflating: testA/test/445_15.jpg   
  inflating: testA/test/406_13.jpg   
  inflating: testA/test/362_5.jpg    
  inflating: testA/test/404_22.jpg   
  inflating: testA/test/483_2.jpg    
  inflating: testA/test/95_19.jpg    
  inflating: testA/test/81_21.jpg    
  inflating: testA/test/368_23.jpg   
  inflating: testA/test/199_14.jpg   
  inflating: testA/test/318_15.jpg   
  inflating: testA/test/5_19.jpg     
  inflating: testA/test/302_11.jpg   
  inflating: testA/test/50_8.jpg     
  inflating: testA/test/338_12.jpg   
  inflating: testA/test/388_4.jpg    
  inflating: testA/test/242_23.jpg   
  inflating: testA/test/237_14.jpg   
  inflating: testA/test/182_18.jpg   
  inflating: testA/test/432_2.jpg    
  inflating: testA/test/386_14.jpg   
  inflating: testA/test/352_20.jpg   
  inflating: testA/test/268_19.jpg   
  inflating: testA/test/426_6.jpg    
  inflating: testA/test/471_1.jpg    
  inflating: testA/test/188_19.jpg   
  inflating: testA/test/78_5.jpg     
  inflating: testA/test/496_19.jpg   
  inflating: testA/test/221_14.jpg   
  inflating: testA/test/109_2.jpg    
  inflating: testA/test/356_21.jpg   
  inflating: testA/test/435_9.jpg    
  inflating: testA/test/289_16.jpg   
  inflating: testA/test/177_6.jpg    
  inflating: testA/test/412_10.jpg   
  inflating: testA/test/330_22.jpg   
  inflating: testA/test/332_1.jpg    
  inflating: testA/test/439_22.jpg   
  inflating: testA/test/449_10.jpg   
  inflating: testA/test/298_7.jpg    
  inflating: testA/test/0_16.jpg     
  inflating: testA/test/370_2.jpg    
  inflating: testA/test/261_6.jpg    
  inflating: testA/test/272_15.jpg   
  inflating: testA/test/99_1.jpg     
  inflating: testA/test/228_10.jpg   
  inflating: testA/test/428_10.jpg   
  inflating: testA/test/403_18.jpg   
  inflating: testA/test/273_3.jpg    
  inflating: testA/test/385_6.jpg    
  inflating: testA/test/426_7.jpg    
  inflating: testA/test/210_12.jpg   
  inflating: testA/test/348_7.jpg    
  inflating: testA/test/109_17.jpg   
  inflating: testA/test/225_20.jpg   
  inflating: testA/test/122_18.jpg   
  inflating: testA/test/394_22.jpg   
  inflating: testA/test/89_20.jpg    
  inflating: testA/test/319_5.jpg    
  inflating: testA/test/186_1.jpg    
  inflating: testA/test/170_8.jpg    
  inflating: testA/test/142_12.jpg   
  inflating: testA/test/308_20.jpg   
  inflating: testA/test/333_17.jpg   
  inflating: testA/test/26_17.jpg    
  inflating: testA/test/468_15.jpg   
  inflating: testA/test/80_8.jpg     
  inflating: testA/test/193_19.jpg   
  inflating: testA/test/258_22.jpg   
  inflating: testA/test/128_5.jpg    
  inflating: testA/test/221_17.jpg   
  inflating: testA/test/409_23.jpg   
  inflating: testA/test/241_13.jpg   
  inflating: testA/test/142_3.jpg    
  inflating: testA/test/12_12.jpg    
  inflating: testA/test/452_20.jpg   
  inflating: testA/test/467_16.jpg   
  inflating: testA/test/413_20.jpg   
  inflating: testA/test/105_5.jpg    
  inflating: testA/test/474_12.jpg   
  inflating: testA/test/323_22.jpg   
  inflating: testA/test/283_13.jpg   
  inflating: testA/test/357_1.jpg    
  inflating: testA/test/273_5.jpg    
  inflating: testA/test/294_3.jpg    
  inflating: testA/test/251_2.jpg    
  inflating: testA/test/343_18.jpg   
  inflating: testA/test/286_2.jpg    
  inflating: testA/test/358_13.jpg   
  inflating: testA/test/40_6.jpg     
  inflating: testA/test/407_21.jpg   
  inflating: testA/test/24_17.jpg    
  inflating: testA/test/9_17.jpg     
  inflating: testA/test/462_6.jpg    
  inflating: testA/test/301_15.jpg   
  inflating: testA/test/398_12.jpg   
  inflating: testA/test/134_1.jpg    
  inflating: testA/test/117_21.jpg   
  inflating: testA/test/367_18.jpg   
  inflating: testA/test/449_2.jpg    
  inflating: testA/test/65_19.jpg    
  inflating: testA/test/342_18.jpg   
  inflating: testA/test/496_4.jpg    
  inflating: testA/test/461_7.jpg    
  inflating: testA/test/419_0.jpg    
  inflating: testA/test/4_16.jpg     
  inflating: testA/test/110_8.jpg    
  inflating: testA/test/472_9.jpg    
  inflating: testA/test/300_4.jpg    
  inflating: testA/test/315_1.jpg    
  inflating: testA/test/152_14.jpg   
  inflating: testA/test/388_17.jpg   
  inflating: testA/test/278_2.jpg    
  inflating: testA/test/322_12.jpg   
  inflating: testA/test/188_17.jpg   
  inflating: testA/test/222_12.jpg   
  inflating: testA/test/464_15.jpg   
  inflating: testA/test/153_19.jpg   
  inflating: testA/test/388_1.jpg    
  inflating: testA/test/145_9.jpg    
  inflating: testA/test/261_4.jpg    
  inflating: testA/test/193_7.jpg    
  inflating: testA/test/90_7.jpg     
  inflating: testA/test/54_9.jpg     
  inflating: testA/test/345_20.jpg   
  inflating: testA/test/3_14.jpg     
  inflating: testA/test/367_11.jpg   
  inflating: testA/test/418_1.jpg    
  inflating: testA/test/389_13.jpg   
  inflating: testA/test/321_17.jpg   
  inflating: testA/test/131_23.jpg   
  inflating: testA/test/36_2.jpg     
  inflating: testA/test/67_15.jpg    
  inflating: testA/test/227_16.jpg   
  inflating: testA/test/256_19.jpg   
  inflating: testA/test/115_20.jpg   
  inflating: testA/test/446_4.jpg    
  inflating: testA/test/298_5.jpg    
  inflating: testA/test/11_3.jpg     
  inflating: testA/test/164_17.jpg   
  inflating: testA/test/188_12.jpg   
  inflating: testA/test/49_11.jpg    
  inflating: testA/test/24_18.jpg    
  inflating: testA/test/435_13.jpg   
  inflating: testA/test/47_18.jpg    
  inflating: testA/test/402_9.jpg    
  inflating: testA/test/222_7.jpg    
  inflating: testA/test/294_9.jpg    
  inflating: testA/test/219_2.jpg    
  inflating: testA/test/169_22.jpg   
  inflating: testA/test/31_1.jpg     
  inflating: testA/test/241_7.jpg    
  inflating: testA/test/399_14.jpg   
  inflating: testA/test/356_20.jpg   
  inflating: testA/test/94_18.jpg    
  inflating: testA/test/30_19.jpg    
  inflating: testA/test/362_18.jpg   
  inflating: testA/test/230_18.jpg   
  inflating: testA/test/43_16.jpg    
  inflating: testA/test/64_9.jpg     
  inflating: testA/test/77_23.jpg    
  inflating: testA/test/494_10.jpg   
  inflating: testA/test/198_14.jpg   
  inflating: testA/test/321_18.jpg   
  inflating: testA/test/156_0.jpg    
  inflating: testA/test/465_9.jpg    
  inflating: testA/test/146_11.jpg   
  inflating: testA/test/433_15.jpg   
  inflating: testA/test/380_3.jpg    
  inflating: testA/test/440_6.jpg    
  inflating: testA/test/40_10.jpg    
  inflating: testA/test/96_7.jpg     
  inflating: testA/test/292_12.jpg   
  inflating: testA/test/104_0.jpg    
  inflating: testA/test/421_21.jpg   
  inflating: testA/test/187_9.jpg    
  inflating: testA/test/241_0.jpg    
  inflating: testA/test/454_12.jpg   
  inflating: testA/test/481_22.jpg   
  inflating: testA/test/315_22.jpg   
  inflating: testA/test/448_1.jpg    
  inflating: testA/test/217_9.jpg    
  inflating: testA/test/387_8.jpg    
  inflating: testA/test/116_17.jpg   
  inflating: testA/test/346_6.jpg    
  inflating: testA/test/10_1.jpg     
  inflating: testA/test/50_10.jpg    
  inflating: testA/test/90_9.jpg     
  inflating: testA/test/425_21.jpg   
  inflating: testA/test/350_15.jpg   
  inflating: testA/test/93_18.jpg    
  inflating: testA/test/120_3.jpg    
  inflating: testA/test/262_1.jpg    
  inflating: testA/test/391_19.jpg   
  inflating: testA/test/464_21.jpg   
  inflating: testA/test/72_5.jpg     
  inflating: testA/test/74_9.jpg     
  inflating: testA/test/309_14.jpg   
  inflating: testA/test/13_5.jpg     
  inflating: testA/test/358_4.jpg    
  inflating: testA/test/343_11.jpg   
  inflating: testA/test/236_16.jpg   
  inflating: testA/test/153_17.jpg   
  inflating: testA/test/65_3.jpg     
  inflating: testA/test/24_23.jpg    
  inflating: testA/test/272_14.jpg   
  inflating: testA/test/232_1.jpg    
  inflating: testA/test/213_20.jpg   
  inflating: testA/test/463_20.jpg   
  inflating: testA/test/121_7.jpg    
  inflating: testA/test/294_1.jpg    
  inflating: testA/test/319_18.jpg   
  inflating: testA/test/283_11.jpg   
  inflating: testA/test/83_1.jpg     
  inflating: testA/test/386_16.jpg   
  inflating: testA/test/157_22.jpg   
  inflating: testA/test/360_20.jpg   
  inflating: testA/test/326_20.jpg   
  inflating: testA/test/387_17.jpg   
  inflating: testA/test/380_14.jpg   
  inflating: testA/test/159_13.jpg   
  inflating: testA/test/356_16.jpg   
  inflating: testA/test/115_19.jpg   
  inflating: testA/test/439_5.jpg    
  inflating: testA/test/413_4.jpg    
  inflating: testA/test/137_11.jpg   
  inflating: testA/test/138_7.jpg    
  inflating: testA/test/158_11.jpg   
  inflating: testA/test/161_14.jpg   
  inflating: testA/test/194_6.jpg    
  inflating: testA/test/100_15.jpg   
  inflating: testA/test/161_9.jpg    
  inflating: testA/test/356_0.jpg    
  inflating: testA/test/150_6.jpg    
  inflating: testA/test/42_20.jpg    
  inflating: testA/test/12_11.jpg    
  inflating: testA/test/349_13.jpg   
  inflating: testA/test/365_0.jpg    
  inflating: testA/test/245_13.jpg   
  inflating: testA/test/221_12.jpg   
  inflating: testA/test/145_19.jpg   
  inflating: testA/test/11_18.jpg    
  inflating: testA/test/203_7.jpg    
  inflating: testA/test/147_12.jpg   
  inflating: testA/test/28_12.jpg    
  inflating: testA/test/137_1.jpg    
  inflating: testA/test/358_0.jpg    
  inflating: testA/test/326_18.jpg   
  inflating: testA/test/299_11.jpg   
  inflating: testA/test/103_8.jpg    
  inflating: testA/test/31_13.jpg    
  inflating: testA/test/282_15.jpg   
  inflating: testA/test/464_0.jpg    
  inflating: testA/test/467_7.jpg    
  inflating: testA/test/352_12.jpg   
  inflating: testA/test/6_17.jpg     
  inflating: testA/test/34_4.jpg     
  inflating: testA/test/440_16.jpg   
  inflating: testA/test/409_12.jpg   
  inflating: testA/test/427_1.jpg    
  inflating: testA/test/51_16.jpg    
  inflating: testA/test/469_17.jpg   
  inflating: testA/test/216_2.jpg    
In [39]:
!rm -rf checkpoints
!rm 512_checkpoints.zip
!cp drive/MyDrive/512_checkpoints.zip ./
!unzip 512_checkpoints.zip
Archive:  512_checkpoints.zip
   creating: checkpoints/
   creating: checkpoints/clouds/
  inflating: checkpoints/clouds/14_net_D.pth  
  inflating: checkpoints/clouds/10_net_G.pth  
  inflating: checkpoints/clouds/2_net_G.pth  
  inflating: checkpoints/clouds/latest_net_G.pth  
  inflating: checkpoints/clouds/6_net_D.pth  
  inflating: checkpoints/clouds/8_net_G.pth  
  inflating: checkpoints/clouds/2_net_D.pth  
  inflating: checkpoints/clouds/14_net_G.pth  
  inflating: checkpoints/clouds/4_net_G.pth  
  inflating: checkpoints/clouds/8_net_D.pth  
  inflating: checkpoints/clouds/loss_log.txt  
  inflating: checkpoints/clouds/latest_net_D.pth  
   creating: checkpoints/clouds/web/
   creating: checkpoints/clouds/web/images/
  inflating: checkpoints/clouds/web/images/epoch008_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch007_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch005_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch010_real_A.png  
  inflating: checkpoints/clouds/web/images/epoch010_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch012_real_A.png  
  inflating: checkpoints/clouds/web/images/epoch001_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch005_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch001_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch013_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch005_real_A.png  
  inflating: checkpoints/clouds/web/images/epoch014_real_A.png  
  inflating: checkpoints/clouds/web/images/epoch012_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch004_real_A.png  
  inflating: checkpoints/clouds/web/images/epoch007_real_A.png  
  inflating: checkpoints/clouds/web/images/epoch003_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch014_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch004_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch015_real_A.png  
  inflating: checkpoints/clouds/web/images/epoch014_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch009_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch006_real_A.png  
  inflating: checkpoints/clouds/web/images/epoch008_real_A.png  
  inflating: checkpoints/clouds/web/images/epoch002_real_A.png  
  inflating: checkpoints/clouds/web/images/epoch006_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch011_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch010_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch003_real_A.png  
  inflating: checkpoints/clouds/web/images/epoch002_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch011_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch016_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch001_real_A.png  
  inflating: checkpoints/clouds/web/images/epoch012_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch009_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch009_real_A.png  
  inflating: checkpoints/clouds/web/images/epoch004_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch007_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch003_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch011_real_A.png  
  inflating: checkpoints/clouds/web/images/epoch015_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch013_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch006_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch015_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch016_real_A.png  
  inflating: checkpoints/clouds/web/images/epoch016_fake_B.png  
  inflating: checkpoints/clouds/web/images/epoch008_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch002_real_B.png  
  inflating: checkpoints/clouds/web/images/epoch013_real_A.png  
  inflating: checkpoints/clouds/web/index.html  
  inflating: checkpoints/clouds/10_net_D.pth  
  inflating: checkpoints/clouds/train_opt.txt  
  inflating: checkpoints/clouds/12_net_D.pth  
  inflating: checkpoints/clouds/4_net_D.pth  
  inflating: checkpoints/clouds/6_net_G.pth  
  inflating: checkpoints/clouds/12_net_G.pth  
In [4]:
!pip install aicrowd-cli

%load_ext aicrowd.magic
Collecting aicrowd-cli
  Downloading aicrowd_cli-0.1.9-py3-none-any.whl (43 kB)
     |████████████████████████████████| 43 kB 1.5 MB/s 
Collecting rich<11,>=10.0.0
  Downloading rich-10.7.0-py3-none-any.whl (209 kB)
     |████████████████████████████████| 209 kB 5.1 MB/s 
Requirement already satisfied: click<8,>=7.1.2 in /usr/local/lib/python3.7/dist-packages (from aicrowd-cli) (7.1.2)
Requirement already satisfied: toml<1,>=0.10.2 in /usr/local/lib/python3.7/dist-packages (from aicrowd-cli) (0.10.2)
Collecting GitPython==3.1.18
  Downloading GitPython-3.1.18-py3-none-any.whl (170 kB)
     |████████████████████████████████| 170 kB 37.6 MB/s 
Collecting requests<3,>=2.25.1
  Downloading requests-2.26.0-py2.py3-none-any.whl (62 kB)
     |████████████████████████████████| 62 kB 765 kB/s 
Collecting requests-toolbelt<1,>=0.9.1
  Downloading requests_toolbelt-0.9.1-py2.py3-none-any.whl (54 kB)
     |████████████████████████████████| 54 kB 2.4 MB/s 
Collecting tqdm<5,>=4.56.0
  Downloading tqdm-4.62.0-py2.py3-none-any.whl (76 kB)
     |████████████████████████████████| 76 kB 4.1 MB/s 
Collecting gitdb<5,>=4.0.1
  Downloading gitdb-4.0.7-py3-none-any.whl (63 kB)
     |████████████████████████████████| 63 kB 1.8 MB/s 
Requirement already satisfied: typing-extensions>=3.7.4.0 in /usr/local/lib/python3.7/dist-packages (from GitPython==3.1.18->aicrowd-cli) (3.7.4.3)
Collecting smmap<5,>=3.0.1
  Downloading smmap-4.0.0-py2.py3-none-any.whl (24 kB)
Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.25.1->aicrowd-cli) (2.10)
Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.25.1->aicrowd-cli) (2.0.2)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.25.1->aicrowd-cli) (1.24.3)
Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.25.1->aicrowd-cli) (2021.5.30)
Collecting commonmark<0.10.0,>=0.9.0
  Downloading commonmark-0.9.1-py2.py3-none-any.whl (51 kB)
     |████████████████████████████████| 51 kB 6.7 MB/s 
Requirement already satisfied: pygments<3.0.0,>=2.6.0 in /usr/local/lib/python3.7/dist-packages (from rich<11,>=10.0.0->aicrowd-cli) (2.6.1)
Collecting colorama<0.5.0,>=0.4.0
  Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB)
Installing collected packages: smmap, requests, gitdb, commonmark, colorama, tqdm, rich, requests-toolbelt, GitPython, aicrowd-cli
  Attempting uninstall: requests
    Found existing installation: requests 2.23.0
    Uninstalling requests-2.23.0:
      Successfully uninstalled requests-2.23.0
  Attempting uninstall: tqdm
    Found existing installation: tqdm 4.41.1
    Uninstalling tqdm-4.41.1:
      Successfully uninstalled tqdm-4.41.1
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
google-colab 1.0.0 requires requests~=2.23.0, but you have requests 2.26.0 which is incompatible.
datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.
Successfully installed GitPython-3.1.18 aicrowd-cli-0.1.9 colorama-0.4.4 commonmark-0.9.1 gitdb-4.0.7 requests-2.26.0 requests-toolbelt-0.9.1 rich-10.7.0 smmap-4.0.0 tqdm-4.62.0
In [5]:
%aicrowd login --api-key c18a6c4b759fa2df29481af274df6942
API Key valid
Saved API Key successfully!
In [ ]:
# # Downloading the Dataset
# !rm -rf data
# !mkdir data
# !aicrowd dataset download -c clouds-removal "*Partial*" -o data
# !aicrowd dataset download -c clouds-removal "*Complete*" -o data
test.zip: 100% 601M/601M [00:40<00:00, 14.9MB/s]
train.zip: 100% 1.62G/1.62G [02:34<00:00, 10.5MB/s]
In [ ]:
# # # Unzipping the dataset
# !unzip data/train.zip -d data/train >> /dev/null
# !unzip data/test.zip -d data/test >> /dev/null

Importing Libraries

In [6]:
# Importing Libraries
import os
import numpy as np
import random
import torch
from natsort import natsorted
from glob import glob
import cv2
from tqdm.notebook import tqdm
In [ ]:
# all_files = os.listdir('data/train')
# num_total = int(len(all_files) / 2)
In [7]:
def seed_everything(seed):
  os.environ["PL_GLOBAL_SEED"] = str(seed)
  random.seed(seed)
  np.random.seed(seed)
  torch.manual_seed(seed)
  torch.cuda.manual_seed_all(seed)

seed_everything(1)
In [ ]:
# indexes = [i for i in range(num_total)]
# val_idxes = random.sample(indexes, 5)
# val_idxes[0]

# val_idxes = []
In [ ]:
# !rm -rf my_data
# !rm -rf testA
# !mkdir my_data
# !mkdir my_data/A
# !mkdir my_data/B
# !mkdir my_data/A/train
# !mkdir my_data/A/val
# !mkdir my_data/B/train
# !mkdir my_data/B/val
# !mkdir testA
# !mkdir testA/test

# for cloud_video in natsorted(glob('data/train/cloud*')):
#   current = int(cloud_video.split('.')[0].split('_')[1])
#   img_video = cv2.VideoCapture(cloud_video)
#   # Going through each frame
#   index = 0
#   while True:
#     # Reading the frame
#     ret, frame = img_video.read()
#     if ret:
#       if current in val_idxes:
#         cv2.imwrite(f'my_data/A/val/{current}_{index}.jpg', frame)
#       else:
#         cv2.imwrite(f'my_data/A/train/{current}_{index}.jpg', frame)
#       index += 1
#     else:
#       break

# for clear_video in natsorted(glob('data/train/clear*')):
#   current = int(clear_video.split('.')[0].split('_')[1])
#   img_video = cv2.VideoCapture(clear_video)
#   # Going through each frame
#   index = 0
#   while True:
#     # Reading the frame
#     ret, frame = img_video.read()
#     if ret:
#       if current in val_idxes:
#         cv2.imwrite(f'my_data/B/val/{current}_{index}.jpg', frame)
#       else:
#         cv2.imwrite(f'my_data/B/train/{current}_{index}.jpg', frame)
#       index += 1
#     else:
#       break

# for cloud_video in natsorted(glob('data/test/*')):
#   current = int(cloud_video.split('.')[0].split('_')[1])
#   img_video = cv2.VideoCapture(cloud_video)
#   # Going through each frame
#   index = 0
#   while True:
#     # Reading the frame
#     ret, frame = img_video.read()
#     if ret:
#       cv2.imwrite(f'testA/test/{current}_{index}.jpg', frame)
#       index += 1
#     else:
#       break
In [ ]:
# !zip -r partial_cloud.zip my_data
In [ ]:
# !cp partial_cloud.zip drive/MyDrive
In [8]:
!git clone https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix.git
Cloning into 'pytorch-CycleGAN-and-pix2pix'...
remote: Enumerating objects: 2340, done.
remote: Total 2340 (delta 0), reused 0 (delta 0), pack-reused 2340
Receiving objects: 100% (2340/2340), 8.09 MiB | 7.41 MiB/s, done.
Resolving deltas: 100% (1501/1501), done.
In [ ]:
# !rm -rf final_data
# !cd pytorch-CycleGAN-and-pix2pix && python3 datasets/combine_A_and_B.py --fold_A ../my_data/A --fold_B ../my_data/B --fold_AB ../final_data

Training

In [9]:
!pip install dominate
!pip install visdom
Collecting dominate
  Downloading dominate-2.6.0-py2.py3-none-any.whl (29 kB)
Installing collected packages: dominate
Successfully installed dominate-2.6.0
Collecting visdom
  Downloading visdom-0.1.8.9.tar.gz (676 kB)
     |████████████████████████████████| 676 kB 4.2 MB/s 
Requirement already satisfied: numpy>=1.8 in /usr/local/lib/python3.7/dist-packages (from visdom) (1.19.5)
Requirement already satisfied: scipy in /usr/local/lib/python3.7/dist-packages (from visdom) (1.4.1)
Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from visdom) (2.26.0)
Requirement already satisfied: tornado in /usr/local/lib/python3.7/dist-packages (from visdom) (5.1.1)
Requirement already satisfied: pyzmq in /usr/local/lib/python3.7/dist-packages (from visdom) (22.1.0)
Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from visdom) (1.15.0)
Collecting jsonpatch
  Downloading jsonpatch-1.32-py2.py3-none-any.whl (12 kB)
Collecting torchfile
  Downloading torchfile-0.1.0.tar.gz (5.2 kB)
Collecting websocket-client
  Downloading websocket_client-1.1.1-py2.py3-none-any.whl (68 kB)
     |████████████████████████████████| 68 kB 4.3 MB/s 
Requirement already satisfied: pillow in /usr/local/lib/python3.7/dist-packages (from visdom) (7.1.2)
Collecting jsonpointer>=1.9
  Downloading jsonpointer-2.1-py2.py3-none-any.whl (7.4 kB)
Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.7/dist-packages (from requests->visdom) (2.0.2)
Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->visdom) (2.10)
Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->visdom) (2021.5.30)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->visdom) (1.24.3)
Building wheels for collected packages: visdom, torchfile
  Building wheel for visdom (setup.py) ... done
  Created wheel for visdom: filename=visdom-0.1.8.9-py3-none-any.whl size=655249 sha256=baab6df7ee5153cc6cd84eec2f6ee37074578fa0ae060487ebcbf5f78d619853
  Stored in directory: /root/.cache/pip/wheels/2d/d1/9b/cde923274eac9cbb6ff0d8c7c72fe30a3da9095a38fd50bbf1
  Building wheel for torchfile (setup.py) ... done
  Created wheel for torchfile: filename=torchfile-0.1.0-py3-none-any.whl size=5710 sha256=064056306400f29e5386231b62884dee916854bd2462315841b6d193187a1e84
  Stored in directory: /root/.cache/pip/wheels/ac/5c/3a/a80e1c65880945c71fd833408cd1e9a8cb7e2f8f37620bb75b
Successfully built visdom torchfile
Installing collected packages: jsonpointer, websocket-client, torchfile, jsonpatch, visdom
Successfully installed jsonpatch-1.32 jsonpointer-2.1 torchfile-0.1.0 visdom-0.1.8.9 websocket-client-1.1.1
In [9]:
!rm -rf checkpoints
!cd pytorch-CycleGAN-and-pix2pix && python3 train.py --dataroot ../final_data --name clouds --model pix2pix --direction AtoB --checkpoints_dir ../checkpoints --batch_size 4 --n_epochs 10 --n_epochs_decay 0 --gan_mode lsgan --save_epoch_freq 1 --preprocess none --display_id -1 --load_size 512 --crop_size 512
Streaming output truncated to the last 5000 lines.
(epoch: 5, iters: 40176, time: 0.073, data: 0.006) G_GAN: 0.367 G_L1: 7.747 D_real: 0.265 D_fake: 0.048 
(epoch: 5, iters: 40276, time: 0.073, data: 0.010) G_GAN: 0.434 G_L1: 7.433 D_real: 0.442 D_fake: 0.093 
(epoch: 5, iters: 40376, time: 0.073, data: 0.009) G_GAN: 0.624 G_L1: 9.106 D_real: 0.145 D_fake: 0.214 
(epoch: 5, iters: 40476, time: 0.073, data: 0.007) G_GAN: 0.330 G_L1: 7.937 D_real: 0.181 D_fake: 0.212 
(epoch: 5, iters: 40576, time: 0.147, data: 0.006) G_GAN: 0.445 G_L1: 8.160 D_real: 0.118 D_fake: 0.131 
(epoch: 5, iters: 40676, time: 0.075, data: 0.013) G_GAN: 0.444 G_L1: 7.949 D_real: 0.112 D_fake: 0.274 
(epoch: 5, iters: 40776, time: 0.073, data: 0.007) G_GAN: 0.644 G_L1: 8.137 D_real: 0.073 D_fake: 0.574 
(epoch: 5, iters: 40876, time: 0.073, data: 0.008) G_GAN: 0.373 G_L1: 7.082 D_real: 0.260 D_fake: 0.078 
(epoch: 5, iters: 40976, time: 0.073, data: 0.006) G_GAN: 0.578 G_L1: 8.584 D_real: 0.109 D_fake: 0.219 
(epoch: 5, iters: 41076, time: 0.072, data: 0.011) G_GAN: 0.287 G_L1: 8.001 D_real: 0.246 D_fake: 0.224 
(epoch: 5, iters: 41176, time: 0.072, data: 0.008) G_GAN: 0.974 G_L1: 7.707 D_real: 0.046 D_fake: 0.172 
(epoch: 5, iters: 41276, time: 0.073, data: 0.010) G_GAN: 0.549 G_L1: 8.558 D_real: 0.032 D_fake: 0.468 
(epoch: 5, iters: 41376, time: 0.072, data: 0.006) G_GAN: 0.363 G_L1: 7.624 D_real: 0.057 D_fake: 0.289 
(epoch: 5, iters: 41476, time: 0.072, data: 0.007) G_GAN: 0.538 G_L1: 9.732 D_real: 0.108 D_fake: 0.194 
(epoch: 5, iters: 41576, time: 0.072, data: 0.009) G_GAN: 0.231 G_L1: 9.098 D_real: 0.293 D_fake: 0.142 
(epoch: 5, iters: 41676, time: 0.071, data: 0.007) G_GAN: 0.916 G_L1: 9.311 D_real: 0.036 D_fake: 0.753 
(epoch: 5, iters: 41776, time: 0.073, data: 0.007) G_GAN: 0.521 G_L1: 8.061 D_real: 0.203 D_fake: 0.133 
(epoch: 5, iters: 41876, time: 0.073, data: 0.007) G_GAN: 0.617 G_L1: 8.928 D_real: 0.301 D_fake: 0.218 
(epoch: 5, iters: 41976, time: 0.073, data: 0.009) G_GAN: 0.421 G_L1: 6.681 D_real: 0.223 D_fake: 0.285 
(epoch: 5, iters: 42076, time: 0.074, data: 0.007) G_GAN: 0.496 G_L1: 7.943 D_real: 0.127 D_fake: 0.142 
(epoch: 5, iters: 42176, time: 0.071, data: 0.007) G_GAN: 0.649 G_L1: 8.160 D_real: 0.061 D_fake: 0.146 
(epoch: 5, iters: 42276, time: 0.074, data: 0.006) G_GAN: 0.742 G_L1: 7.697 D_real: 0.040 D_fake: 0.436 
(epoch: 5, iters: 42376, time: 0.072, data: 0.008) G_GAN: 0.668 G_L1: 8.274 D_real: 0.146 D_fake: 0.068 
(epoch: 5, iters: 42476, time: 0.073, data: 0.006) G_GAN: 0.329 G_L1: 9.556 D_real: 0.528 D_fake: 0.060 
(epoch: 5, iters: 42576, time: 0.143, data: 0.009) G_GAN: 0.689 G_L1: 9.215 D_real: 0.121 D_fake: 0.077 
(epoch: 5, iters: 42676, time: 0.072, data: 0.009) G_GAN: 0.401 G_L1: 7.575 D_real: 0.298 D_fake: 0.056 
(epoch: 5, iters: 42776, time: 0.076, data: 0.006) G_GAN: 0.265 G_L1: 7.638 D_real: 0.252 D_fake: 0.186 
(epoch: 5, iters: 42876, time: 0.073, data: 0.010) G_GAN: 0.385 G_L1: 8.911 D_real: 0.112 D_fake: 0.302 
(epoch: 5, iters: 42976, time: 0.071, data: 0.011) G_GAN: 0.306 G_L1: 8.871 D_real: 0.377 D_fake: 0.062 
(epoch: 5, iters: 43076, time: 0.072, data: 0.006) G_GAN: 0.181 G_L1: 9.368 D_real: 0.317 D_fake: 0.192 
(epoch: 5, iters: 43176, time: 0.070, data: 0.012) G_GAN: 0.340 G_L1: 8.068 D_real: 0.275 D_fake: 0.133 
(epoch: 5, iters: 43276, time: 0.071, data: 0.008) G_GAN: 0.900 G_L1: 10.328 D_real: 0.015 D_fake: 0.227 
(epoch: 5, iters: 43376, time: 0.072, data: 0.007) G_GAN: 0.275 G_L1: 9.930 D_real: 0.175 D_fake: 0.036 
(epoch: 5, iters: 43476, time: 0.073, data: 0.007) G_GAN: 0.520 G_L1: 7.909 D_real: 0.046 D_fake: 0.512 
(epoch: 5, iters: 43576, time: 0.073, data: 0.008) G_GAN: 0.428 G_L1: 7.672 D_real: 0.159 D_fake: 0.276 
saving the latest model (epoch 5, total_iters 235000)
(epoch: 5, iters: 43676, time: 0.073, data: 0.007) G_GAN: 0.403 G_L1: 7.685 D_real: 0.072 D_fake: 0.305 
(epoch: 5, iters: 43776, time: 0.074, data: 0.007) G_GAN: 0.449 G_L1: 8.173 D_real: 0.122 D_fake: 0.209 
(epoch: 5, iters: 43876, time: 0.072, data: 0.006) G_GAN: 0.314 G_L1: 7.683 D_real: 0.294 D_fake: 0.082 
(epoch: 5, iters: 43976, time: 0.072, data: 0.006) G_GAN: 0.571 G_L1: 8.788 D_real: 0.174 D_fake: 0.137 
(epoch: 5, iters: 44076, time: 0.072, data: 0.011) G_GAN: 0.413 G_L1: 8.381 D_real: 0.249 D_fake: 0.141 
(epoch: 5, iters: 44176, time: 0.072, data: 0.006) G_GAN: 0.379 G_L1: 7.348 D_real: 0.225 D_fake: 0.328 
(epoch: 5, iters: 44276, time: 0.071, data: 0.005) G_GAN: 0.431 G_L1: 9.779 D_real: 0.137 D_fake: 0.129 
(epoch: 5, iters: 44376, time: 0.072, data: 0.005) G_GAN: 0.206 G_L1: 8.034 D_real: 0.465 D_fake: 0.037 
(epoch: 5, iters: 44476, time: 0.070, data: 0.006) G_GAN: 0.556 G_L1: 8.141 D_real: 0.282 D_fake: 0.035 
(epoch: 5, iters: 44576, time: 0.150, data: 0.011) G_GAN: 0.506 G_L1: 7.037 D_real: 0.038 D_fake: 0.448 
(epoch: 5, iters: 44676, time: 0.071, data: 0.007) G_GAN: 0.560 G_L1: 9.417 D_real: 0.137 D_fake: 0.173 
(epoch: 5, iters: 44776, time: 0.072, data: 0.008) G_GAN: 0.261 G_L1: 7.399 D_real: 0.223 D_fake: 0.348 
(epoch: 5, iters: 44876, time: 0.073, data: 0.010) G_GAN: 0.391 G_L1: 8.803 D_real: 0.448 D_fake: 0.023 
(epoch: 5, iters: 44976, time: 0.073, data: 0.007) G_GAN: 0.423 G_L1: 7.683 D_real: 0.222 D_fake: 0.124 
(epoch: 5, iters: 45076, time: 0.073, data: 0.008) G_GAN: 0.296 G_L1: 8.310 D_real: 0.577 D_fake: 0.018 
(epoch: 5, iters: 45176, time: 0.074, data: 0.005) G_GAN: 0.403 G_L1: 9.364 D_real: 0.159 D_fake: 0.137 
(epoch: 5, iters: 45276, time: 0.074, data: 0.006) G_GAN: 0.433 G_L1: 7.954 D_real: 0.129 D_fake: 0.255 
(epoch: 5, iters: 45376, time: 0.072, data: 0.006) G_GAN: 0.437 G_L1: 8.785 D_real: 0.335 D_fake: 0.062 
(epoch: 5, iters: 45476, time: 0.076, data: 0.007) G_GAN: 0.540 G_L1: 8.579 D_real: 0.046 D_fake: 0.328 
(epoch: 5, iters: 45576, time: 0.074, data: 0.007) G_GAN: 0.198 G_L1: 8.255 D_real: 0.295 D_fake: 0.176 
(epoch: 5, iters: 45676, time: 0.072, data: 0.007) G_GAN: 0.292 G_L1: 7.468 D_real: 0.139 D_fake: 0.222 
(epoch: 5, iters: 45776, time: 0.073, data: 0.007) G_GAN: 0.390 G_L1: 7.859 D_real: 0.111 D_fake: 0.483 
(epoch: 5, iters: 45876, time: 0.073, data: 0.006) G_GAN: 0.537 G_L1: 9.377 D_real: 0.247 D_fake: 0.094 
(epoch: 5, iters: 45976, time: 0.072, data: 0.008) G_GAN: 0.269 G_L1: 8.259 D_real: 0.286 D_fake: 0.142 
(epoch: 5, iters: 46076, time: 0.072, data: 0.010) G_GAN: 0.359 G_L1: 7.543 D_real: 0.092 D_fake: 0.511 
(epoch: 5, iters: 46176, time: 0.072, data: 0.007) G_GAN: 0.367 G_L1: 7.218 D_real: 0.151 D_fake: 0.135 
(epoch: 5, iters: 46276, time: 0.072, data: 0.009) G_GAN: 0.601 G_L1: 8.212 D_real: 0.063 D_fake: 0.337 
(epoch: 5, iters: 46376, time: 0.072, data: 0.007) G_GAN: 0.306 G_L1: 8.665 D_real: 0.171 D_fake: 0.312 
(epoch: 5, iters: 46476, time: 0.072, data: 0.010) G_GAN: 0.470 G_L1: 8.935 D_real: 0.113 D_fake: 0.316 
(epoch: 5, iters: 46576, time: 0.141, data: 0.010) G_GAN: 0.396 G_L1: 8.078 D_real: 0.212 D_fake: 0.232 
(epoch: 5, iters: 46676, time: 0.071, data: 0.006) G_GAN: 1.347 G_L1: 9.564 D_real: 0.053 D_fake: 1.048 
(epoch: 5, iters: 46776, time: 0.072, data: 0.009) G_GAN: 0.547 G_L1: 7.812 D_real: 0.028 D_fake: 0.270 
(epoch: 5, iters: 46876, time: 0.072, data: 0.011) G_GAN: 0.239 G_L1: 7.589 D_real: 0.430 D_fake: 0.093 
(epoch: 5, iters: 46976, time: 0.071, data: 0.007) G_GAN: 0.602 G_L1: 9.163 D_real: 0.146 D_fake: 0.356 
(epoch: 5, iters: 47076, time: 0.070, data: 0.013) G_GAN: 0.601 G_L1: 8.133 D_real: 0.048 D_fake: 0.520 
(epoch: 5, iters: 47176, time: 0.071, data: 0.008) G_GAN: 0.483 G_L1: 7.742 D_real: 0.185 D_fake: 0.110 
(epoch: 5, iters: 47276, time: 0.071, data: 0.007) G_GAN: 0.353 G_L1: 8.840 D_real: 0.164 D_fake: 0.274 
(epoch: 5, iters: 47376, time: 0.069, data: 0.010) G_GAN: 0.451 G_L1: 8.650 D_real: 0.373 D_fake: 0.040 
(epoch: 5, iters: 47476, time: 0.072, data: 0.009) G_GAN: 0.380 G_L1: 8.162 D_real: 0.459 D_fake: 0.035 
(epoch: 5, iters: 47576, time: 0.071, data: 0.008) G_GAN: 0.459 G_L1: 6.782 D_real: 0.166 D_fake: 0.660 
(epoch: 5, iters: 47676, time: 0.073, data: 0.006) G_GAN: 0.642 G_L1: 9.112 D_real: 0.061 D_fake: 0.464 
(epoch: 5, iters: 47776, time: 0.072, data: 0.011) G_GAN: 0.380 G_L1: 8.923 D_real: 0.165 D_fake: 0.184 
End of epoch 5 / 20 	 Time Taken: 1970 sec
learning rate 0.0002000 -> 0.0002000
(epoch: 6, iters: 20, time: 0.064, data: 0.006) G_GAN: 0.661 G_L1: 8.736 D_real: 0.042 D_fake: 0.243 
(epoch: 6, iters: 120, time: 0.070, data: 0.006) G_GAN: 0.319 G_L1: 9.697 D_real: 0.227 D_fake: 0.207 
(epoch: 6, iters: 220, time: 0.071, data: 0.007) G_GAN: 0.647 G_L1: 7.561 D_real: 0.629 D_fake: 0.068 
(epoch: 6, iters: 320, time: 0.145, data: 0.006) G_GAN: 0.396 G_L1: 7.966 D_real: 0.199 D_fake: 0.270 
(epoch: 6, iters: 420, time: 0.070, data: 0.007) G_GAN: 0.648 G_L1: 7.765 D_real: 0.014 D_fake: 0.361 
(epoch: 6, iters: 520, time: 0.070, data: 0.008) G_GAN: 0.336 G_L1: 8.615 D_real: 0.174 D_fake: 0.219 
(epoch: 6, iters: 620, time: 0.071, data: 0.007) G_GAN: 0.426 G_L1: 9.284 D_real: 0.105 D_fake: 0.176 
(epoch: 6, iters: 720, time: 0.149, data: 0.010) G_GAN: 0.303 G_L1: 7.833 D_real: 0.246 D_fake: 0.227 
saving the latest model (epoch 6, total_iters 240000)
(epoch: 6, iters: 820, time: 0.071, data: 0.008) G_GAN: 0.424 G_L1: 8.409 D_real: 0.166 D_fake: 0.127 
(epoch: 6, iters: 920, time: 0.069, data: 0.010) G_GAN: 0.665 G_L1: 8.115 D_real: 0.037 D_fake: 0.246 
(epoch: 6, iters: 1020, time: 0.071, data: 0.006) G_GAN: 0.436 G_L1: 8.643 D_real: 0.110 D_fake: 0.159 
(epoch: 6, iters: 1120, time: 0.071, data: 0.007) G_GAN: 0.314 G_L1: 9.071 D_real: 0.219 D_fake: 0.172 
(epoch: 6, iters: 1220, time: 0.071, data: 0.010) G_GAN: 0.470 G_L1: 6.540 D_real: 0.092 D_fake: 0.343 
(epoch: 6, iters: 1320, time: 0.071, data: 0.006) G_GAN: 0.153 G_L1: 8.778 D_real: 0.363 D_fake: 0.097 
(epoch: 6, iters: 1420, time: 0.074, data: 0.006) G_GAN: 0.314 G_L1: 7.224 D_real: 0.172 D_fake: 0.179 
(epoch: 6, iters: 1520, time: 0.071, data: 0.007) G_GAN: 0.713 G_L1: 9.086 D_real: 0.025 D_fake: 0.349 
(epoch: 6, iters: 1620, time: 0.069, data: 0.009) G_GAN: 0.225 G_L1: 8.971 D_real: 0.346 D_fake: 0.134 
(epoch: 6, iters: 1720, time: 0.072, data: 0.006) G_GAN: 0.283 G_L1: 7.014 D_real: 0.314 D_fake: 0.062 
(epoch: 6, iters: 1820, time: 0.072, data: 0.006) G_GAN: 0.206 G_L1: 7.658 D_real: 0.303 D_fake: 0.115 
(epoch: 6, iters: 1920, time: 0.071, data: 0.006) G_GAN: 0.526 G_L1: 8.726 D_real: 0.049 D_fake: 0.200 
(epoch: 6, iters: 2020, time: 0.070, data: 0.008) G_GAN: 0.532 G_L1: 8.597 D_real: 0.289 D_fake: 0.067 
(epoch: 6, iters: 2120, time: 0.072, data: 0.005) G_GAN: 0.635 G_L1: 8.575 D_real: 0.126 D_fake: 0.114 
(epoch: 6, iters: 2220, time: 0.069, data: 0.007) G_GAN: 0.236 G_L1: 6.227 D_real: 0.469 D_fake: 0.112 
(epoch: 6, iters: 2320, time: 0.071, data: 0.007) G_GAN: 0.626 G_L1: 7.667 D_real: 0.026 D_fake: 0.543 
(epoch: 6, iters: 2420, time: 0.070, data: 0.013) G_GAN: 0.374 G_L1: 8.722 D_real: 0.156 D_fake: 0.126 
(epoch: 6, iters: 2520, time: 0.071, data: 0.007) G_GAN: 0.706 G_L1: 8.279 D_real: 0.202 D_fake: 0.076 
(epoch: 6, iters: 2620, time: 0.071, data: 0.008) G_GAN: 0.466 G_L1: 8.028 D_real: 0.247 D_fake: 0.070 
(epoch: 6, iters: 2720, time: 0.141, data: 0.006) G_GAN: 0.349 G_L1: 9.007 D_real: 0.339 D_fake: 0.045 
(epoch: 6, iters: 2820, time: 0.071, data: 0.007) G_GAN: 0.345 G_L1: 8.307 D_real: 0.208 D_fake: 0.121 
(epoch: 6, iters: 2920, time: 0.072, data: 0.007) G_GAN: 0.391 G_L1: 7.168 D_real: 0.188 D_fake: 0.254 
(epoch: 6, iters: 3020, time: 0.071, data: 0.006) G_GAN: 0.315 G_L1: 8.462 D_real: 0.578 D_fake: 0.059 
(epoch: 6, iters: 3120, time: 0.072, data: 0.009) G_GAN: 0.670 G_L1: 8.750 D_real: 0.063 D_fake: 0.167 
(epoch: 6, iters: 3220, time: 0.074, data: 0.006) G_GAN: 0.337 G_L1: 7.934 D_real: 0.285 D_fake: 0.164 
(epoch: 6, iters: 3320, time: 0.070, data: 0.010) G_GAN: 0.322 G_L1: 6.823 D_real: 0.524 D_fake: 0.052 
(epoch: 6, iters: 3420, time: 0.071, data: 0.011) G_GAN: 0.609 G_L1: 8.409 D_real: 0.065 D_fake: 0.384 
(epoch: 6, iters: 3520, time: 0.072, data: 0.006) G_GAN: 0.515 G_L1: 7.999 D_real: 0.140 D_fake: 0.180 
(epoch: 6, iters: 3620, time: 0.069, data: 0.007) G_GAN: 0.443 G_L1: 7.653 D_real: 0.067 D_fake: 0.362 
(epoch: 6, iters: 3720, time: 0.070, data: 0.007) G_GAN: 0.321 G_L1: 7.686 D_real: 0.263 D_fake: 0.177 
(epoch: 6, iters: 3820, time: 0.070, data: 0.007) G_GAN: 0.271 G_L1: 7.403 D_real: 0.321 D_fake: 0.203 
(epoch: 6, iters: 3920, time: 0.071, data: 0.007) G_GAN: 0.531 G_L1: 8.887 D_real: 0.093 D_fake: 0.350 
(epoch: 6, iters: 4020, time: 0.070, data: 0.009) G_GAN: 0.364 G_L1: 8.107 D_real: 0.461 D_fake: 0.051 
(epoch: 6, iters: 4120, time: 0.071, data: 0.005) G_GAN: 0.626 G_L1: 7.742 D_real: 0.022 D_fake: 0.217 
(epoch: 6, iters: 4220, time: 0.068, data: 0.007) G_GAN: 0.518 G_L1: 8.063 D_real: 0.059 D_fake: 0.299 
(epoch: 6, iters: 4320, time: 0.071, data: 0.008) G_GAN: 0.472 G_L1: 7.961 D_real: 0.235 D_fake: 0.051 
(epoch: 6, iters: 4420, time: 0.071, data: 0.009) G_GAN: 0.661 G_L1: 8.412 D_real: 0.056 D_fake: 0.084 
(epoch: 6, iters: 4520, time: 0.073, data: 0.007) G_GAN: 0.518 G_L1: 8.180 D_real: 0.078 D_fake: 0.225 
(epoch: 6, iters: 4620, time: 0.070, data: 0.007) G_GAN: 0.500 G_L1: 9.066 D_real: 0.147 D_fake: 0.102 
(epoch: 6, iters: 4720, time: 0.142, data: 0.005) G_GAN: 0.369 G_L1: 7.389 D_real: 0.231 D_fake: 0.149 
(epoch: 6, iters: 4820, time: 0.070, data: 0.008) G_GAN: 0.448 G_L1: 7.398 D_real: 0.143 D_fake: 0.167 
(epoch: 6, iters: 4920, time: 0.069, data: 0.006) G_GAN: 0.517 G_L1: 8.374 D_real: 0.071 D_fake: 0.245 
(epoch: 6, iters: 5020, time: 0.071, data: 0.007) G_GAN: 0.429 G_L1: 6.841 D_real: 0.682 D_fake: 0.017 
(epoch: 6, iters: 5120, time: 0.072, data: 0.007) G_GAN: 0.331 G_L1: 8.343 D_real: 0.275 D_fake: 0.085 
(epoch: 6, iters: 5220, time: 0.070, data: 0.009) G_GAN: 0.482 G_L1: 7.852 D_real: 0.091 D_fake: 0.191 
(epoch: 6, iters: 5320, time: 0.069, data: 0.015) G_GAN: 0.668 G_L1: 8.869 D_real: 0.023 D_fake: 0.474 
(epoch: 6, iters: 5420, time: 0.071, data: 0.015) G_GAN: 0.416 G_L1: 6.594 D_real: 0.107 D_fake: 0.231 
(epoch: 6, iters: 5520, time: 0.073, data: 0.010) G_GAN: 0.561 G_L1: 8.084 D_real: 0.101 D_fake: 0.169 
(epoch: 6, iters: 5620, time: 0.068, data: 0.007) G_GAN: 0.523 G_L1: 8.037 D_real: 0.040 D_fake: 0.387 
(epoch: 6, iters: 5720, time: 0.067, data: 0.012) G_GAN: 0.498 G_L1: 6.994 D_real: 0.224 D_fake: 0.094 
saving the latest model (epoch 6, total_iters 245000)
(epoch: 6, iters: 5820, time: 0.071, data: 0.008) G_GAN: 0.218 G_L1: 8.316 D_real: 0.547 D_fake: 0.026 
(epoch: 6, iters: 5920, time: 0.071, data: 0.006) G_GAN: 0.588 G_L1: 8.643 D_real: 0.031 D_fake: 0.255 
(epoch: 6, iters: 6020, time: 0.068, data: 0.007) G_GAN: 0.285 G_L1: 7.793 D_real: 0.518 D_fake: 0.098 
(epoch: 6, iters: 6120, time: 0.071, data: 0.005) G_GAN: 0.446 G_L1: 8.012 D_real: 0.193 D_fake: 0.114 
(epoch: 6, iters: 6220, time: 0.071, data: 0.008) G_GAN: 0.836 G_L1: 8.452 D_real: 0.134 D_fake: 0.115 
(epoch: 6, iters: 6320, time: 0.070, data: 0.007) G_GAN: 0.330 G_L1: 7.771 D_real: 0.340 D_fake: 0.070 
(epoch: 6, iters: 6420, time: 0.071, data: 0.007) G_GAN: 0.559 G_L1: 8.701 D_real: 0.058 D_fake: 0.370 
(epoch: 6, iters: 6520, time: 0.070, data: 0.007) G_GAN: 0.443 G_L1: 8.473 D_real: 0.064 D_fake: 0.209 
(epoch: 6, iters: 6620, time: 0.071, data: 0.007) G_GAN: 0.543 G_L1: 8.125 D_real: 0.059 D_fake: 0.272 
(epoch: 6, iters: 6720, time: 0.148, data: 0.009) G_GAN: 0.199 G_L1: 6.970 D_real: 0.533 D_fake: 0.043 
(epoch: 6, iters: 6820, time: 0.072, data: 0.006) G_GAN: 0.562 G_L1: 7.495 D_real: 0.177 D_fake: 0.233 
(epoch: 6, iters: 6920, time: 0.072, data: 0.011) G_GAN: 0.477 G_L1: 9.546 D_real: 0.259 D_fake: 0.138 
(epoch: 6, iters: 7020, time: 0.073, data: 0.006) G_GAN: 5.766 G_L1: 6.956 D_real: 0.938 D_fake: 0.618 
(epoch: 6, iters: 7120, time: 0.072, data: 0.006) G_GAN: 0.324 G_L1: 6.446 D_real: 0.217 D_fake: 0.351 
(epoch: 6, iters: 7220, time: 0.073, data: 0.006) G_GAN: 0.298 G_L1: 6.999 D_real: 0.226 D_fake: 0.230 
(epoch: 6, iters: 7320, time: 0.072, data: 0.011) G_GAN: 0.299 G_L1: 6.095 D_real: 0.225 D_fake: 0.248 
(epoch: 6, iters: 7420, time: 0.073, data: 0.008) G_GAN: 0.308 G_L1: 6.573 D_real: 0.212 D_fake: 0.222 
(epoch: 6, iters: 7520, time: 0.070, data: 0.009) G_GAN: 0.425 G_L1: 7.481 D_real: 0.239 D_fake: 0.138 
(epoch: 6, iters: 7620, time: 0.073, data: 0.008) G_GAN: 0.358 G_L1: 6.373 D_real: 0.120 D_fake: 0.230 
(epoch: 6, iters: 7720, time: 0.071, data: 0.011) G_GAN: 0.402 G_L1: 7.354 D_real: 0.068 D_fake: 0.240 
(epoch: 6, iters: 7820, time: 0.072, data: 0.006) G_GAN: 0.363 G_L1: 6.053 D_real: 0.199 D_fake: 0.156 
(epoch: 6, iters: 7920, time: 0.072, data: 0.009) G_GAN: 0.463 G_L1: 6.677 D_real: 0.243 D_fake: 0.094 
(epoch: 6, iters: 8020, time: 0.072, data: 0.008) G_GAN: 0.498 G_L1: 6.840 D_real: 0.181 D_fake: 0.145 
(epoch: 6, iters: 8120, time: 0.072, data: 0.007) G_GAN: 0.404 G_L1: 6.440 D_real: 0.134 D_fake: 0.120 
(epoch: 6, iters: 8220, time: 0.074, data: 0.007) G_GAN: 0.383 G_L1: 6.747 D_real: 0.267 D_fake: 0.140 
(epoch: 6, iters: 8320, time: 0.072, data: 0.010) G_GAN: 0.465 G_L1: 6.438 D_real: 0.317 D_fake: 0.119 
(epoch: 6, iters: 8420, time: 0.073, data: 0.012) G_GAN: 0.292 G_L1: 6.241 D_real: 0.217 D_fake: 0.213 
(epoch: 6, iters: 8520, time: 0.074, data: 0.006) G_GAN: 0.447 G_L1: 6.910 D_real: 0.044 D_fake: 0.367 
(epoch: 6, iters: 8620, time: 0.072, data: 0.006) G_GAN: 0.650 G_L1: 7.620 D_real: 0.056 D_fake: 0.132 
(epoch: 6, iters: 8720, time: 0.145, data: 0.010) G_GAN: 0.550 G_L1: 6.912 D_real: 0.055 D_fake: 0.250 
(epoch: 6, iters: 8820, time: 0.071, data: 0.006) G_GAN: 0.998 G_L1: 7.298 D_real: 0.021 D_fake: 0.318 
(epoch: 6, iters: 8920, time: 0.071, data: 0.006) G_GAN: 0.401 G_L1: 6.304 D_real: 0.068 D_fake: 0.253 
(epoch: 6, iters: 9020, time: 0.072, data: 0.007) G_GAN: 0.413 G_L1: 7.936 D_real: 0.088 D_fake: 0.306 
(epoch: 6, iters: 9120, time: 0.073, data: 0.009) G_GAN: 0.490 G_L1: 6.321 D_real: 0.334 D_fake: 0.083 
(epoch: 6, iters: 9220, time: 0.069, data: 0.007) G_GAN: 0.409 G_L1: 8.031 D_real: 0.168 D_fake: 0.096 
(epoch: 6, iters: 9320, time: 0.071, data: 0.006) G_GAN: 0.703 G_L1: 8.446 D_real: 0.037 D_fake: 0.228 
(epoch: 6, iters: 9420, time: 0.071, data: 0.010) G_GAN: 0.385 G_L1: 7.834 D_real: 0.185 D_fake: 0.178 
(epoch: 6, iters: 9520, time: 0.071, data: 0.012) G_GAN: 0.386 G_L1: 7.095 D_real: 0.368 D_fake: 0.056 
(epoch: 6, iters: 9620, time: 0.069, data: 0.007) G_GAN: 0.306 G_L1: 6.697 D_real: 0.367 D_fake: 0.055 
(epoch: 6, iters: 9720, time: 0.073, data: 0.008) G_GAN: 0.359 G_L1: 8.518 D_real: 0.050 D_fake: 0.373 
(epoch: 6, iters: 9820, time: 0.072, data: 0.012) G_GAN: 0.336 G_L1: 8.364 D_real: 0.044 D_fake: 0.281 
(epoch: 6, iters: 9920, time: 0.073, data: 0.005) G_GAN: 0.589 G_L1: 6.761 D_real: 0.146 D_fake: 0.092 
(epoch: 6, iters: 10020, time: 0.072, data: 0.010) G_GAN: 0.649 G_L1: 7.289 D_real: 0.045 D_fake: 0.480 
(epoch: 6, iters: 10120, time: 0.073, data: 0.011) G_GAN: 0.446 G_L1: 7.089 D_real: 0.514 D_fake: 0.033 
(epoch: 6, iters: 10220, time: 0.072, data: 0.008) G_GAN: 0.319 G_L1: 7.960 D_real: 0.200 D_fake: 0.170 
(epoch: 6, iters: 10320, time: 0.071, data: 0.011) G_GAN: 0.472 G_L1: 7.643 D_real: 0.253 D_fake: 0.117 
(epoch: 6, iters: 10420, time: 0.071, data: 0.010) G_GAN: 0.416 G_L1: 6.923 D_real: 0.053 D_fake: 0.169 
(epoch: 6, iters: 10520, time: 0.072, data: 0.011) G_GAN: 0.431 G_L1: 7.947 D_real: 0.096 D_fake: 0.202 
(epoch: 6, iters: 10620, time: 0.073, data: 0.007) G_GAN: 0.372 G_L1: 9.193 D_real: 0.176 D_fake: 0.102 
(epoch: 6, iters: 10720, time: 0.142, data: 0.007) G_GAN: 0.482 G_L1: 8.680 D_real: 0.048 D_fake: 0.250 
saving the latest model (epoch 6, total_iters 250000)
(epoch: 6, iters: 10820, time: 0.072, data: 0.007) G_GAN: 0.486 G_L1: 6.500 D_real: 0.227 D_fake: 0.052 
(epoch: 6, iters: 10920, time: 0.073, data: 0.007) G_GAN: 0.349 G_L1: 7.855 D_real: 0.394 D_fake: 0.047 
(epoch: 6, iters: 11020, time: 0.072, data: 0.006) G_GAN: 0.433 G_L1: 7.144 D_real: 0.102 D_fake: 0.269 
(epoch: 6, iters: 11120, time: 0.072, data: 0.008) G_GAN: 0.288 G_L1: 8.426 D_real: 0.301 D_fake: 0.137 
(epoch: 6, iters: 11220, time: 0.071, data: 0.007) G_GAN: 0.315 G_L1: 8.500 D_real: 0.292 D_fake: 0.093 
(epoch: 6, iters: 11320, time: 0.073, data: 0.006) G_GAN: 0.445 G_L1: 8.708 D_real: 0.267 D_fake: 0.071 
(epoch: 6, iters: 11420, time: 0.074, data: 0.007) G_GAN: 0.217 G_L1: 6.792 D_real: 0.249 D_fake: 0.296 
(epoch: 6, iters: 11520, time: 0.073, data: 0.005) G_GAN: 0.430 G_L1: 8.626 D_real: 0.236 D_fake: 0.118 
(epoch: 6, iters: 11620, time: 0.073, data: 0.005) G_GAN: 0.577 G_L1: 8.365 D_real: 0.508 D_fake: 0.029 
(epoch: 6, iters: 11720, time: 0.073, data: 0.010) G_GAN: 0.306 G_L1: 8.619 D_real: 0.233 D_fake: 0.197 
(epoch: 6, iters: 11820, time: 0.073, data: 0.007) G_GAN: 0.391 G_L1: 7.699 D_real: 0.142 D_fake: 0.278 
(epoch: 6, iters: 11920, time: 0.073, data: 0.008) G_GAN: 0.504 G_L1: 8.782 D_real: 0.104 D_fake: 0.255 
(epoch: 6, iters: 12020, time: 0.072, data: 0.010) G_GAN: 0.264 G_L1: 7.371 D_real: 0.241 D_fake: 0.303 
(epoch: 6, iters: 12120, time: 0.072, data: 0.010) G_GAN: 0.586 G_L1: 7.091 D_real: 0.190 D_fake: 0.023 
(epoch: 6, iters: 12220, time: 0.074, data: 0.007) G_GAN: 0.268 G_L1: 7.891 D_real: 0.229 D_fake: 0.184 
(epoch: 6, iters: 12320, time: 0.073, data: 0.009) G_GAN: 0.457 G_L1: 8.416 D_real: 0.156 D_fake: 0.140 
(epoch: 6, iters: 12420, time: 0.072, data: 0.006) G_GAN: 0.423 G_L1: 8.295 D_real: 0.175 D_fake: 0.222 
(epoch: 6, iters: 12520, time: 0.072, data: 0.007) G_GAN: 0.466 G_L1: 8.089 D_real: 0.096 D_fake: 0.312 
(epoch: 6, iters: 12620, time: 0.072, data: 0.012) G_GAN: 0.706 G_L1: 7.794 D_real: 0.021 D_fake: 0.488 
(epoch: 6, iters: 12720, time: 0.150, data: 0.012) G_GAN: 0.371 G_L1: 8.515 D_real: 0.177 D_fake: 0.172 
(epoch: 6, iters: 12820, time: 0.074, data: 0.012) G_GAN: 0.305 G_L1: 7.485 D_real: 0.222 D_fake: 0.133 
(epoch: 6, iters: 12920, time: 0.072, data: 0.006) G_GAN: 0.400 G_L1: 9.011 D_real: 0.298 D_fake: 0.181 
(epoch: 6, iters: 13020, time: 0.073, data: 0.007) G_GAN: 0.247 G_L1: 8.034 D_real: 0.411 D_fake: 0.263 
(epoch: 6, iters: 13120, time: 0.072, data: 0.011) G_GAN: 0.249 G_L1: 9.588 D_real: 0.408 D_fake: 0.108 
(epoch: 6, iters: 13220, time: 0.071, data: 0.006) G_GAN: 0.399 G_L1: 8.336 D_real: 0.118 D_fake: 0.292 
(epoch: 6, iters: 13320, time: 0.073, data: 0.010) G_GAN: 0.419 G_L1: 8.086 D_real: 0.372 D_fake: 0.118 
(epoch: 6, iters: 13420, time: 0.071, data: 0.009) G_GAN: 0.416 G_L1: 9.590 D_real: 0.130 D_fake: 0.183 
(epoch: 6, iters: 13520, time: 0.071, data: 0.007) G_GAN: 0.269 G_L1: 8.394 D_real: 0.181 D_fake: 0.209 
(epoch: 6, iters: 13620, time: 0.073, data: 0.012) G_GAN: 0.406 G_L1: 9.431 D_real: 0.152 D_fake: 0.180 
(epoch: 6, iters: 13720, time: 0.073, data: 0.011) G_GAN: 0.348 G_L1: 7.867 D_real: 0.247 D_fake: 0.219 
(epoch: 6, iters: 13820, time: 0.072, data: 0.013) G_GAN: 0.323 G_L1: 7.407 D_real: 0.151 D_fake: 0.189 
(epoch: 6, iters: 13920, time: 0.073, data: 0.006) G_GAN: 0.474 G_L1: 9.226 D_real: 0.210 D_fake: 0.115 
(epoch: 6, iters: 14020, time: 0.073, data: 0.009) G_GAN: 0.423 G_L1: 7.163 D_real: 0.248 D_fake: 0.104 
(epoch: 6, iters: 14120, time: 0.073, data: 0.007) G_GAN: 0.284 G_L1: 7.461 D_real: 0.268 D_fake: 0.162 
(epoch: 6, iters: 14220, time: 0.073, data: 0.007) G_GAN: 0.532 G_L1: 7.928 D_real: 0.089 D_fake: 0.153 
(epoch: 6, iters: 14320, time: 0.071, data: 0.008) G_GAN: 0.444 G_L1: 9.316 D_real: 0.529 D_fake: 0.030 
(epoch: 6, iters: 14420, time: 0.073, data: 0.006) G_GAN: 0.434 G_L1: 6.935 D_real: 0.263 D_fake: 0.160 
(epoch: 6, iters: 14520, time: 0.074, data: 0.011) G_GAN: 0.321 G_L1: 7.930 D_real: 0.368 D_fake: 0.217 
(epoch: 6, iters: 14620, time: 0.073, data: 0.010) G_GAN: 0.205 G_L1: 7.628 D_real: 0.260 D_fake: 0.274 
(epoch: 6, iters: 14720, time: 0.143, data: 0.006) G_GAN: 0.403 G_L1: 8.316 D_real: 0.114 D_fake: 0.138 
(epoch: 6, iters: 14820, time: 0.073, data: 0.008) G_GAN: 0.303 G_L1: 10.052 D_real: 0.228 D_fake: 0.113 
(epoch: 6, iters: 14920, time: 0.070, data: 0.005) G_GAN: 0.304 G_L1: 7.544 D_real: 0.434 D_fake: 0.094 
(epoch: 6, iters: 15020, time: 0.072, data: 0.007) G_GAN: 0.470 G_L1: 9.797 D_real: 0.080 D_fake: 0.338 
(epoch: 6, iters: 15120, time: 0.071, data: 0.009) G_GAN: 0.398 G_L1: 7.963 D_real: 0.119 D_fake: 0.232 
(epoch: 6, iters: 15220, time: 0.073, data: 0.007) G_GAN: 0.459 G_L1: 8.411 D_real: 0.111 D_fake: 0.261 
(epoch: 6, iters: 15320, time: 0.073, data: 0.007) G_GAN: 0.254 G_L1: 8.623 D_real: 0.240 D_fake: 0.242 
(epoch: 6, iters: 15420, time: 0.072, data: 0.007) G_GAN: 0.377 G_L1: 7.876 D_real: 0.255 D_fake: 0.117 
(epoch: 6, iters: 15520, time: 0.072, data: 0.006) G_GAN: 0.353 G_L1: 6.817 D_real: 0.241 D_fake: 0.160 
(epoch: 6, iters: 15620, time: 0.073, data: 0.005) G_GAN: 0.257 G_L1: 9.472 D_real: 0.188 D_fake: 0.143 
(epoch: 6, iters: 15720, time: 0.071, data: 0.009) G_GAN: 0.326 G_L1: 8.295 D_real: 0.243 D_fake: 0.134 
saving the latest model (epoch 6, total_iters 255000)
(epoch: 6, iters: 15820, time: 0.073, data: 0.007) G_GAN: 0.335 G_L1: 7.719 D_real: 0.459 D_fake: 0.034 
(epoch: 6, iters: 15920, time: 0.073, data: 0.006) G_GAN: 0.395 G_L1: 9.151 D_real: 0.123 D_fake: 0.220 
(epoch: 6, iters: 16020, time: 0.074, data: 0.009) G_GAN: 0.313 G_L1: 7.913 D_real: 0.167 D_fake: 0.392 
(epoch: 6, iters: 16120, time: 0.074, data: 0.008) G_GAN: 0.467 G_L1: 9.098 D_real: 0.166 D_fake: 0.233 
(epoch: 6, iters: 16220, time: 0.074, data: 0.011) G_GAN: 0.172 G_L1: 8.858 D_real: 0.265 D_fake: 0.222 
(epoch: 6, iters: 16320, time: 0.073, data: 0.006) G_GAN: 0.605 G_L1: 8.337 D_real: 0.048 D_fake: 0.249 
(epoch: 6, iters: 16420, time: 0.073, data: 0.006) G_GAN: 0.173 G_L1: 8.004 D_real: 0.357 D_fake: 0.238 
(epoch: 6, iters: 16520, time: 0.073, data: 0.010) G_GAN: 0.342 G_L1: 8.123 D_real: 0.290 D_fake: 0.110 
(epoch: 6, iters: 16620, time: 0.073, data: 0.007) G_GAN: 0.355 G_L1: 8.586 D_real: 0.135 D_fake: 0.217 
(epoch: 6, iters: 16720, time: 0.148, data: 0.007) G_GAN: 0.547 G_L1: 8.242 D_real: 0.090 D_fake: 0.604 
(epoch: 6, iters: 16820, time: 0.072, data: 0.006) G_GAN: 0.389 G_L1: 7.358 D_real: 0.316 D_fake: 0.116 
(epoch: 6, iters: 16920, time: 0.072, data: 0.006) G_GAN: 0.573 G_L1: 6.914 D_real: 0.013 D_fake: 0.254 
(epoch: 6, iters: 17020, time: 0.072, data: 0.007) G_GAN: 0.315 G_L1: 8.080 D_real: 0.319 D_fake: 0.168 
(epoch: 6, iters: 17120, time: 0.070, data: 0.006) G_GAN: 0.367 G_L1: 8.641 D_real: 0.084 D_fake: 0.277 
(epoch: 6, iters: 17220, time: 0.073, data: 0.008) G_GAN: 0.210 G_L1: 8.011 D_real: 0.282 D_fake: 0.129 
(epoch: 6, iters: 17320, time: 0.073, data: 0.007) G_GAN: 0.577 G_L1: 9.255 D_real: 0.019 D_fake: 0.294 
(epoch: 6, iters: 17420, time: 0.074, data: 0.009) G_GAN: 0.371 G_L1: 7.207 D_real: 0.375 D_fake: 0.093 
(epoch: 6, iters: 17520, time: 0.074, data: 0.007) G_GAN: 0.297 G_L1: 8.295 D_real: 0.248 D_fake: 0.123 
(epoch: 6, iters: 17620, time: 0.073, data: 0.010) G_GAN: 0.356 G_L1: 7.312 D_real: 0.625 D_fake: 0.037 
(epoch: 6, iters: 17720, time: 0.073, data: 0.010) G_GAN: 0.414 G_L1: 9.516 D_real: 0.111 D_fake: 0.183 
(epoch: 6, iters: 17820, time: 0.073, data: 0.010) G_GAN: 0.420 G_L1: 7.388 D_real: 0.272 D_fake: 0.114 
(epoch: 6, iters: 17920, time: 0.074, data: 0.010) G_GAN: 0.304 G_L1: 7.792 D_real: 0.193 D_fake: 0.207 
(epoch: 6, iters: 18020, time: 0.071, data: 0.009) G_GAN: 0.411 G_L1: 7.982 D_real: 0.185 D_fake: 0.279 
(epoch: 6, iters: 18120, time: 0.070, data: 0.008) G_GAN: 0.302 G_L1: 9.164 D_real: 0.119 D_fake: 0.327 
(epoch: 6, iters: 18220, time: 0.071, data: 0.012) G_GAN: 0.400 G_L1: 9.093 D_real: 0.134 D_fake: 0.131 
(epoch: 6, iters: 18320, time: 0.073, data: 0.006) G_GAN: 0.231 G_L1: 8.121 D_real: 0.370 D_fake: 0.111 
(epoch: 6, iters: 18420, time: 0.071, data: 0.009) G_GAN: 0.362 G_L1: 7.229 D_real: 0.210 D_fake: 0.219 
(epoch: 6, iters: 18520, time: 0.073, data: 0.006) G_GAN: 0.876 G_L1: 7.790 D_real: 0.111 D_fake: 0.209 
(epoch: 6, iters: 18620, time: 0.072, data: 0.008) G_GAN: 0.304 G_L1: 8.057 D_real: 0.246 D_fake: 0.094 
(epoch: 6, iters: 18720, time: 0.142, data: 0.007) G_GAN: 0.337 G_L1: 7.275 D_real: 0.278 D_fake: 0.106 
(epoch: 6, iters: 18820, time: 0.074, data: 0.007) G_GAN: 0.329 G_L1: 9.967 D_real: 0.160 D_fake: 0.102 
(epoch: 6, iters: 18920, time: 0.074, data: 0.006) G_GAN: 0.498 G_L1: 7.296 D_real: 0.065 D_fake: 0.182 
(epoch: 6, iters: 19020, time: 0.074, data: 0.007) G_GAN: 0.347 G_L1: 8.378 D_real: 0.258 D_fake: 0.095 
(epoch: 6, iters: 19120, time: 0.074, data: 0.006) G_GAN: 0.558 G_L1: 7.980 D_real: 0.089 D_fake: 0.158 
(epoch: 6, iters: 19220, time: 0.073, data: 0.006) G_GAN: 0.341 G_L1: 8.145 D_real: 0.292 D_fake: 0.138 
(epoch: 6, iters: 19320, time: 0.073, data: 0.006) G_GAN: 0.636 G_L1: 7.574 D_real: 0.328 D_fake: 0.050 
(epoch: 6, iters: 19420, time: 0.072, data: 0.006) G_GAN: 0.522 G_L1: 9.163 D_real: 0.125 D_fake: 0.164 
(epoch: 6, iters: 19520, time: 0.073, data: 0.006) G_GAN: 0.455 G_L1: 8.214 D_real: 0.121 D_fake: 0.258 
(epoch: 6, iters: 19620, time: 0.073, data: 0.010) G_GAN: 0.628 G_L1: 7.467 D_real: 0.101 D_fake: 0.295 
(epoch: 6, iters: 19720, time: 0.070, data: 0.009) G_GAN: 0.158 G_L1: 9.011 D_real: 0.176 D_fake: 0.250 
(epoch: 6, iters: 19820, time: 0.072, data: 0.006) G_GAN: 0.264 G_L1: 8.522 D_real: 0.296 D_fake: 0.113 
(epoch: 6, iters: 19920, time: 0.071, data: 0.012) G_GAN: 0.509 G_L1: 8.638 D_real: 0.104 D_fake: 0.209 
(epoch: 6, iters: 20020, time: 0.071, data: 0.009) G_GAN: 0.630 G_L1: 7.908 D_real: 0.032 D_fake: 0.265 
(epoch: 6, iters: 20120, time: 0.071, data: 0.007) G_GAN: 0.246 G_L1: 6.662 D_real: 0.390 D_fake: 0.139 
(epoch: 6, iters: 20220, time: 0.073, data: 0.006) G_GAN: 0.570 G_L1: 7.585 D_real: 0.070 D_fake: 0.234 
(epoch: 6, iters: 20320, time: 0.071, data: 0.012) G_GAN: 0.308 G_L1: 7.693 D_real: 0.234 D_fake: 0.148 
(epoch: 6, iters: 20420, time: 0.074, data: 0.006) G_GAN: 0.434 G_L1: 8.471 D_real: 0.172 D_fake: 0.058 
(epoch: 6, iters: 20520, time: 0.073, data: 0.006) G_GAN: 0.332 G_L1: 8.325 D_real: 0.143 D_fake: 0.335 
(epoch: 6, iters: 20620, time: 0.072, data: 0.012) G_GAN: 0.430 G_L1: 7.134 D_real: 0.123 D_fake: 0.292 
(epoch: 6, iters: 20720, time: 0.143, data: 0.010) G_GAN: 0.366 G_L1: 9.287 D_real: 0.172 D_fake: 0.158 
saving the latest model (epoch 6, total_iters 260000)
(epoch: 6, iters: 20820, time: 0.073, data: 0.007) G_GAN: 0.497 G_L1: 6.766 D_real: 0.056 D_fake: 0.393 
(epoch: 6, iters: 20920, time: 0.072, data: 0.006) G_GAN: 0.472 G_L1: 8.144 D_real: 0.332 D_fake: 0.062 
(epoch: 6, iters: 21020, time: 0.074, data: 0.006) G_GAN: 0.550 G_L1: 8.784 D_real: 0.131 D_fake: 0.054 
(epoch: 6, iters: 21120, time: 0.074, data: 0.006) G_GAN: 0.344 G_L1: 8.927 D_real: 0.183 D_fake: 0.151 
(epoch: 6, iters: 21220, time: 0.072, data: 0.007) G_GAN: 0.542 G_L1: 8.574 D_real: 0.115 D_fake: 0.090 
(epoch: 6, iters: 21320, time: 0.072, data: 0.006) G_GAN: 0.704 G_L1: 9.354 D_real: 0.055 D_fake: 0.365 
(epoch: 6, iters: 21420, time: 0.073, data: 0.010) G_GAN: 0.243 G_L1: 8.319 D_real: 0.172 D_fake: 0.193 
(epoch: 6, iters: 21520, time: 0.071, data: 0.008) G_GAN: 0.294 G_L1: 8.360 D_real: 0.412 D_fake: 0.107 
(epoch: 6, iters: 21620, time: 0.073, data: 0.009) G_GAN: 0.466 G_L1: 6.993 D_real: 0.320 D_fake: 0.138 
(epoch: 6, iters: 21720, time: 0.073, data: 0.006) G_GAN: 0.945 G_L1: 7.493 D_real: 0.019 D_fake: 0.751 
(epoch: 6, iters: 21820, time: 0.073, data: 0.011) G_GAN: 0.441 G_L1: 7.149 D_real: 0.076 D_fake: 0.287 
(epoch: 6, iters: 21920, time: 0.073, data: 0.012) G_GAN: 0.440 G_L1: 8.876 D_real: 0.710 D_fake: 0.036 
(epoch: 6, iters: 22020, time: 0.073, data: 0.005) G_GAN: 0.416 G_L1: 7.861 D_real: 0.112 D_fake: 0.266 
(epoch: 6, iters: 22120, time: 0.073, data: 0.010) G_GAN: 0.539 G_L1: 8.856 D_real: 0.104 D_fake: 0.280 
(epoch: 6, iters: 22220, time: 0.071, data: 0.008) G_GAN: 0.482 G_L1: 7.876 D_real: 0.067 D_fake: 0.405 
(epoch: 6, iters: 22320, time: 0.073, data: 0.007) G_GAN: 0.527 G_L1: 8.794 D_real: 0.041 D_fake: 0.478 
(epoch: 6, iters: 22420, time: 0.072, data: 0.010) G_GAN: 0.304 G_L1: 8.328 D_real: 0.223 D_fake: 0.133 
(epoch: 6, iters: 22520, time: 0.071, data: 0.015) G_GAN: 0.368 G_L1: 9.377 D_real: 0.438 D_fake: 0.176 
(epoch: 6, iters: 22620, time: 0.074, data: 0.007) G_GAN: 0.488 G_L1: 7.708 D_real: 0.041 D_fake: 0.346 
(epoch: 6, iters: 22720, time: 0.144, data: 0.006) G_GAN: 0.540 G_L1: 8.490 D_real: 0.202 D_fake: 0.194 
(epoch: 6, iters: 22820, time: 0.074, data: 0.007) G_GAN: 0.421 G_L1: 7.706 D_real: 0.140 D_fake: 0.197 
(epoch: 6, iters: 22920, time: 0.072, data: 0.010) G_GAN: 0.396 G_L1: 8.254 D_real: 0.194 D_fake: 0.287 
(epoch: 6, iters: 23020, time: 0.073, data: 0.011) G_GAN: 0.373 G_L1: 7.308 D_real: 0.065 D_fake: 0.512 
(epoch: 6, iters: 23120, time: 0.073, data: 0.006) G_GAN: 0.413 G_L1: 7.357 D_real: 0.187 D_fake: 0.100 
(epoch: 6, iters: 23220, time: 0.073, data: 0.011) G_GAN: 0.762 G_L1: 7.710 D_real: 0.369 D_fake: 0.022 
(epoch: 6, iters: 23320, time: 0.073, data: 0.010) G_GAN: 0.633 G_L1: 7.547 D_real: 0.112 D_fake: 0.104 
(epoch: 6, iters: 23420, time: 0.072, data: 0.007) G_GAN: 0.662 G_L1: 9.038 D_real: 0.051 D_fake: 0.385 
(epoch: 6, iters: 23520, time: 0.074, data: 0.011) G_GAN: 0.446 G_L1: 7.320 D_real: 0.041 D_fake: 0.367 
(epoch: 6, iters: 23620, time: 0.073, data: 0.007) G_GAN: 0.378 G_L1: 8.254 D_real: 0.301 D_fake: 0.029 
(epoch: 6, iters: 23720, time: 0.070, data: 0.006) G_GAN: 0.387 G_L1: 9.165 D_real: 0.295 D_fake: 0.085 
(epoch: 6, iters: 23820, time: 0.071, data: 0.010) G_GAN: 0.572 G_L1: 8.927 D_real: 0.084 D_fake: 0.251 
(epoch: 6, iters: 23920, time: 0.072, data: 0.008) G_GAN: 0.434 G_L1: 7.651 D_real: 0.087 D_fake: 0.454 
(epoch: 6, iters: 24020, time: 0.073, data: 0.008) G_GAN: 0.571 G_L1: 8.804 D_real: 0.022 D_fake: 0.486 
(epoch: 6, iters: 24120, time: 0.072, data: 0.006) G_GAN: 0.276 G_L1: 6.956 D_real: 0.198 D_fake: 0.349 
(epoch: 6, iters: 24220, time: 0.071, data: 0.009) G_GAN: 0.417 G_L1: 8.005 D_real: 0.440 D_fake: 0.088 
(epoch: 6, iters: 24320, time: 0.074, data: 0.006) G_GAN: 0.506 G_L1: 8.401 D_real: 0.210 D_fake: 0.148 
(epoch: 6, iters: 24420, time: 0.074, data: 0.006) G_GAN: 0.482 G_L1: 7.431 D_real: 0.173 D_fake: 0.130 
(epoch: 6, iters: 24520, time: 0.074, data: 0.006) G_GAN: 0.475 G_L1: 9.131 D_real: 0.156 D_fake: 0.114 
(epoch: 6, iters: 24620, time: 0.073, data: 0.006) G_GAN: 0.439 G_L1: 8.298 D_real: 0.161 D_fake: 0.150 
(epoch: 6, iters: 24720, time: 0.147, data: 0.006) G_GAN: 0.323 G_L1: 9.097 D_real: 0.185 D_fake: 0.201 
(epoch: 6, iters: 24820, time: 0.074, data: 0.010) G_GAN: 0.666 G_L1: 8.646 D_real: 0.047 D_fake: 0.429 
(epoch: 6, iters: 24920, time: 0.072, data: 0.007) G_GAN: 0.343 G_L1: 7.561 D_real: 0.178 D_fake: 0.219 
(epoch: 6, iters: 25020, time: 0.073, data: 0.006) G_GAN: 0.300 G_L1: 6.953 D_real: 0.200 D_fake: 0.269 
(epoch: 6, iters: 25120, time: 0.073, data: 0.009) G_GAN: 0.359 G_L1: 8.627 D_real: 0.142 D_fake: 0.232 
(epoch: 6, iters: 25220, time: 0.073, data: 0.011) G_GAN: 0.646 G_L1: 8.544 D_real: 0.053 D_fake: 0.168 
(epoch: 6, iters: 25320, time: 0.072, data: 0.005) G_GAN: 0.393 G_L1: 7.058 D_real: 0.312 D_fake: 0.137 
(epoch: 6, iters: 25420, time: 0.070, data: 0.008) G_GAN: 0.534 G_L1: 8.064 D_real: 0.113 D_fake: 0.217 
(epoch: 6, iters: 25520, time: 0.071, data: 0.009) G_GAN: 0.705 G_L1: 7.769 D_real: 0.035 D_fake: 0.238 
(epoch: 6, iters: 25620, time: 0.074, data: 0.007) G_GAN: 0.311 G_L1: 6.272 D_real: 0.188 D_fake: 0.255 
(epoch: 6, iters: 25720, time: 0.074, data: 0.006) G_GAN: 0.571 G_L1: 8.939 D_real: 0.171 D_fake: 0.050 
saving the latest model (epoch 6, total_iters 265000)
(epoch: 6, iters: 25820, time: 0.072, data: 0.008) G_GAN: 0.843 G_L1: 8.942 D_real: 0.023 D_fake: 0.142 
(epoch: 6, iters: 25920, time: 0.073, data: 0.009) G_GAN: 0.319 G_L1: 7.692 D_real: 0.119 D_fake: 0.263 
(epoch: 6, iters: 26020, time: 0.073, data: 0.005) G_GAN: 0.572 G_L1: 8.620 D_real: 0.017 D_fake: 0.536 
(epoch: 6, iters: 26120, time: 0.074, data: 0.006) G_GAN: 0.208 G_L1: 8.813 D_real: 0.615 D_fake: 0.085 
(epoch: 6, iters: 26220, time: 0.073, data: 0.007) G_GAN: 0.412 G_L1: 8.273 D_real: 0.567 D_fake: 0.017 
(epoch: 6, iters: 26320, time: 0.074, data: 0.005) G_GAN: 0.291 G_L1: 7.108 D_real: 0.315 D_fake: 0.130 
(epoch: 6, iters: 26420, time: 0.072, data: 0.007) G_GAN: 0.515 G_L1: 8.760 D_real: 0.150 D_fake: 0.281 
(epoch: 6, iters: 26520, time: 0.072, data: 0.010) G_GAN: 0.248 G_L1: 8.315 D_real: 0.237 D_fake: 0.240 
(epoch: 6, iters: 26620, time: 0.072, data: 0.006) G_GAN: 0.560 G_L1: 6.668 D_real: 0.025 D_fake: 0.519 
(epoch: 6, iters: 26720, time: 0.147, data: 0.012) G_GAN: 0.538 G_L1: 7.360 D_real: 0.209 D_fake: 0.145 
(epoch: 6, iters: 26820, time: 0.073, data: 0.007) G_GAN: 0.414 G_L1: 6.801 D_real: 0.275 D_fake: 0.128 
(epoch: 6, iters: 26920, time: 0.073, data: 0.010) G_GAN: 0.282 G_L1: 8.873 D_real: 0.674 D_fake: 0.034 
(epoch: 6, iters: 27020, time: 0.072, data: 0.010) G_GAN: 0.326 G_L1: 6.944 D_real: 0.415 D_fake: 0.071 
(epoch: 6, iters: 27120, time: 0.073, data: 0.012) G_GAN: 0.337 G_L1: 8.331 D_real: 0.271 D_fake: 0.151 
(epoch: 6, iters: 27220, time: 0.071, data: 0.008) G_GAN: 0.394 G_L1: 7.314 D_real: 0.221 D_fake: 0.144 
(epoch: 6, iters: 27320, time: 0.074, data: 0.006) G_GAN: 0.493 G_L1: 7.749 D_real: 0.189 D_fake: 0.047 
(epoch: 6, iters: 27420, time: 0.076, data: 0.007) G_GAN: 0.417 G_L1: 7.802 D_real: 0.312 D_fake: 0.086 
(epoch: 6, iters: 27520, time: 0.073, data: 0.007) G_GAN: 0.174 G_L1: 7.314 D_real: 0.439 D_fake: 0.129 
(epoch: 6, iters: 27620, time: 0.073, data: 0.010) G_GAN: 0.321 G_L1: 8.157 D_real: 0.195 D_fake: 0.162 
(epoch: 6, iters: 27720, time: 0.074, data: 0.006) G_GAN: 0.369 G_L1: 9.035 D_real: 0.316 D_fake: 0.134 
(epoch: 6, iters: 27820, time: 0.074, data: 0.007) G_GAN: 0.607 G_L1: 9.372 D_real: 0.077 D_fake: 0.198 
(epoch: 6, iters: 27920, time: 0.073, data: 0.006) G_GAN: 0.427 G_L1: 10.277 D_real: 0.260 D_fake: 0.052 
(epoch: 6, iters: 28020, time: 0.074, data: 0.012) G_GAN: 0.370 G_L1: 9.371 D_real: 0.136 D_fake: 0.150 
(epoch: 6, iters: 28120, time: 0.073, data: 0.007) G_GAN: 0.437 G_L1: 9.540 D_real: 0.187 D_fake: 0.106 
(epoch: 6, iters: 28220, time: 0.072, data: 0.007) G_GAN: 0.351 G_L1: 6.746 D_real: 0.529 D_fake: 0.037 
(epoch: 6, iters: 28320, time: 0.073, data: 0.012) G_GAN: 0.438 G_L1: 7.744 D_real: 0.137 D_fake: 0.225 
(epoch: 6, iters: 28420, time: 0.074, data: 0.009) G_GAN: 0.296 G_L1: 9.262 D_real: 0.189 D_fake: 0.266 
(epoch: 6, iters: 28520, time: 0.072, data: 0.008) G_GAN: 0.632 G_L1: 8.400 D_real: 0.113 D_fake: 0.128 
(epoch: 6, iters: 28620, time: 0.071, data: 0.007) G_GAN: 0.344 G_L1: 8.367 D_real: 0.245 D_fake: 0.078 
(epoch: 6, iters: 28720, time: 0.150, data: 0.007) G_GAN: 0.309 G_L1: 7.852 D_real: 0.215 D_fake: 0.264 
(epoch: 6, iters: 28820, time: 0.071, data: 0.006) G_GAN: 0.643 G_L1: 7.765 D_real: 0.280 D_fake: 0.100 
(epoch: 6, iters: 28920, time: 0.073, data: 0.010) G_GAN: 0.536 G_L1: 9.387 D_real: 0.104 D_fake: 0.134 
(epoch: 6, iters: 29020, time: 0.072, data: 0.007) G_GAN: 0.436 G_L1: 9.706 D_real: 0.194 D_fake: 0.135 
(epoch: 6, iters: 29120, time: 0.073, data: 0.006) G_GAN: 0.371 G_L1: 8.434 D_real: 0.192 D_fake: 0.166 
(epoch: 6, iters: 29220, time: 0.072, data: 0.008) G_GAN: 0.630 G_L1: 8.203 D_real: 0.017 D_fake: 0.440 
(epoch: 6, iters: 29320, time: 0.071, data: 0.007) G_GAN: 0.345 G_L1: 8.326 D_real: 0.275 D_fake: 0.108 
(epoch: 6, iters: 29420, time: 0.071, data: 0.006) G_GAN: 0.317 G_L1: 7.190 D_real: 0.214 D_fake: 0.289 
(epoch: 6, iters: 29520, time: 0.072, data: 0.011) G_GAN: 0.242 G_L1: 6.570 D_real: 0.237 D_fake: 0.309 
(epoch: 6, iters: 29620, time: 0.073, data: 0.006) G_GAN: 0.358 G_L1: 7.588 D_real: 0.386 D_fake: 0.199 
(epoch: 6, iters: 29720, time: 0.070, data: 0.007) G_GAN: 0.372 G_L1: 7.024 D_real: 0.315 D_fake: 0.160 
(epoch: 6, iters: 29820, time: 0.074, data: 0.006) G_GAN: 0.318 G_L1: 7.708 D_real: 0.200 D_fake: 0.211 
(epoch: 6, iters: 29920, time: 0.072, data: 0.007) G_GAN: 0.321 G_L1: 6.624 D_real: 0.181 D_fake: 0.207 
(epoch: 6, iters: 30020, time: 0.073, data: 0.006) G_GAN: 0.384 G_L1: 6.653 D_real: 0.239 D_fake: 0.142 
(epoch: 6, iters: 30120, time: 0.073, data: 0.006) G_GAN: 0.371 G_L1: 6.395 D_real: 0.247 D_fake: 0.146 
(epoch: 6, iters: 30220, time: 0.071, data: 0.007) G_GAN: 0.433 G_L1: 6.663 D_real: 0.213 D_fake: 0.110 
(epoch: 6, iters: 30320, time: 0.073, data: 0.006) G_GAN: 0.349 G_L1: 6.715 D_real: 0.119 D_fake: 0.219 
(epoch: 6, iters: 30420, time: 0.072, data: 0.006) G_GAN: 0.411 G_L1: 6.688 D_real: 0.158 D_fake: 0.169 
(epoch: 6, iters: 30520, time: 0.074, data: 0.007) G_GAN: 0.385 G_L1: 6.226 D_real: 0.168 D_fake: 0.142 
(epoch: 6, iters: 30620, time: 0.074, data: 0.006) G_GAN: 0.457 G_L1: 7.214 D_real: 0.219 D_fake: 0.073 
(epoch: 6, iters: 30720, time: 0.146, data: 0.013) G_GAN: 0.318 G_L1: 6.514 D_real: 0.238 D_fake: 0.136 
saving the latest model (epoch 6, total_iters 270000)
(epoch: 6, iters: 30820, time: 0.074, data: 0.009) G_GAN: 0.492 G_L1: 7.002 D_real: 0.094 D_fake: 0.171 
(epoch: 6, iters: 30920, time: 0.074, data: 0.007) G_GAN: 0.557 G_L1: 7.006 D_real: 0.034 D_fake: 0.326 
(epoch: 6, iters: 31020, time: 0.072, data: 0.006) G_GAN: 0.588 G_L1: 6.480 D_real: 0.049 D_fake: 0.244 
(epoch: 6, iters: 31120, time: 0.072, data: 0.010) G_GAN: 0.490 G_L1: 7.004 D_real: 0.182 D_fake: 0.105 
(epoch: 6, iters: 31220, time: 0.073, data: 0.006) G_GAN: 0.551 G_L1: 7.596 D_real: 0.373 D_fake: 0.056 
(epoch: 6, iters: 31320, time: 0.071, data: 0.008) G_GAN: 0.452 G_L1: 6.762 D_real: 0.141 D_fake: 0.156 
(epoch: 6, iters: 31420, time: 0.073, data: 0.008) G_GAN: 0.386 G_L1: 6.635 D_real: 0.061 D_fake: 0.277 
(epoch: 6, iters: 31520, time: 0.072, data: 0.006) G_GAN: 0.406 G_L1: 6.471 D_real: 0.237 D_fake: 0.084 
(epoch: 6, iters: 31620, time: 0.073, data: 0.006) G_GAN: 0.325 G_L1: 6.395 D_real: 0.131 D_fake: 0.247 
(epoch: 6, iters: 31720, time: 0.073, data: 0.012) G_GAN: 0.450 G_L1: 7.524 D_real: 0.183 D_fake: 0.089 
(epoch: 6, iters: 31820, time: 0.072, data: 0.007) G_GAN: 0.225 G_L1: 6.731 D_real: 0.390 D_fake: 0.043 
(epoch: 6, iters: 31920, time: 0.074, data: 0.007) G_GAN: 0.491 G_L1: 6.760 D_real: 0.131 D_fake: 0.113 
(epoch: 6, iters: 32020, time: 0.072, data: 0.007) G_GAN: 0.471 G_L1: 7.732 D_real: 0.082 D_fake: 0.617 
(epoch: 6, iters: 32120, time: 0.074, data: 0.010) G_GAN: 0.400 G_L1: 7.770 D_real: 0.108 D_fake: 0.329 
(epoch: 6, iters: 32220, time: 0.072, data: 0.009) G_GAN: 0.270 G_L1: 6.108 D_real: 0.092 D_fake: 0.344 
(epoch: 6, iters: 32320, time: 0.072, data: 0.006) G_GAN: 0.346 G_L1: 8.078 D_real: 0.131 D_fake: 0.239 
(epoch: 6, iters: 32420, time: 0.073, data: 0.008) G_GAN: 0.468 G_L1: 6.512 D_real: 0.112 D_fake: 0.217 
(epoch: 6, iters: 32520, time: 0.070, data: 0.009) G_GAN: 0.353 G_L1: 7.031 D_real: 0.223 D_fake: 0.280 
(epoch: 6, iters: 32620, time: 0.073, data: 0.010) G_GAN: 0.453 G_L1: 8.573 D_real: 0.078 D_fake: 0.217 
(epoch: 6, iters: 32720, time: 0.147, data: 0.012) G_GAN: 0.295 G_L1: 7.456 D_real: 0.031 D_fake: 0.490 
(epoch: 6, iters: 32820, time: 0.071, data: 0.009) G_GAN: 0.495 G_L1: 6.956 D_real: 0.209 D_fake: 0.129 
(epoch: 6, iters: 32920, time: 0.072, data: 0.007) G_GAN: 0.384 G_L1: 7.220 D_real: 0.405 D_fake: 0.069 
(epoch: 6, iters: 33020, time: 0.073, data: 0.007) G_GAN: 0.329 G_L1: 7.433 D_real: 0.128 D_fake: 0.376 
(epoch: 6, iters: 33120, time: 0.073, data: 0.007) G_GAN: 0.580 G_L1: 7.493 D_real: 0.086 D_fake: 0.165 
(epoch: 6, iters: 33220, time: 0.073, data: 0.007) G_GAN: 0.426 G_L1: 7.366 D_real: 0.114 D_fake: 0.216 
(epoch: 6, iters: 33320, time: 0.073, data: 0.007) G_GAN: 0.453 G_L1: 7.421 D_real: 0.069 D_fake: 0.468 
(epoch: 6, iters: 33420, time: 0.072, data: 0.006) G_GAN: 0.367 G_L1: 7.780 D_real: 0.267 D_fake: 0.163 
(epoch: 6, iters: 33520, time: 0.073, data: 0.005) G_GAN: 0.358 G_L1: 8.050 D_real: 0.260 D_fake: 0.078 
(epoch: 6, iters: 33620, time: 0.073, data: 0.010) G_GAN: 0.892 G_L1: 7.368 D_real: 0.037 D_fake: 0.530 
(epoch: 6, iters: 33720, time: 0.072, data: 0.011) G_GAN: 0.563 G_L1: 8.216 D_real: 0.055 D_fake: 0.252 
(epoch: 6, iters: 33820, time: 0.073, data: 0.006) G_GAN: 0.470 G_L1: 7.638 D_real: 0.254 D_fake: 0.080 
(epoch: 6, iters: 33920, time: 0.072, data: 0.007) G_GAN: 0.327 G_L1: 7.820 D_real: 0.136 D_fake: 0.143 
(epoch: 6, iters: 34020, time: 0.073, data: 0.006) G_GAN: 0.258 G_L1: 6.919 D_real: 0.269 D_fake: 0.141 
(epoch: 6, iters: 34120, time: 0.072, data: 0.006) G_GAN: 0.228 G_L1: 6.250 D_real: 0.810 D_fake: 0.018 
(epoch: 6, iters: 34220, time: 0.071, data: 0.007) G_GAN: 0.523 G_L1: 9.386 D_real: 0.062 D_fake: 0.150 
(epoch: 6, iters: 34320, time: 0.073, data: 0.011) G_GAN: 0.621 G_L1: 8.698 D_real: 0.018 D_fake: 0.283 
(epoch: 6, iters: 34420, time: 0.072, data: 0.007) G_GAN: 0.487 G_L1: 7.327 D_real: 0.060 D_fake: 0.361 
(epoch: 6, iters: 34520, time: 0.071, data: 0.007) G_GAN: 0.412 G_L1: 8.981 D_real: 0.121 D_fake: 0.166 
(epoch: 6, iters: 34620, time: 0.072, data: 0.010) G_GAN: 0.303 G_L1: 6.491 D_real: 0.255 D_fake: 0.153 
(epoch: 6, iters: 34720, time: 0.151, data: 0.007) G_GAN: 0.701 G_L1: 8.744 D_real: 0.027 D_fake: 0.290 
(epoch: 6, iters: 34820, time: 0.072, data: 0.009) G_GAN: 0.519 G_L1: 6.504 D_real: 0.107 D_fake: 0.300 
(epoch: 6, iters: 34920, time: 0.073, data: 0.006) G_GAN: 0.353 G_L1: 8.194 D_real: 0.177 D_fake: 0.235 
(epoch: 6, iters: 35020, time: 0.071, data: 0.010) G_GAN: 0.700 G_L1: 7.842 D_real: 0.141 D_fake: 0.106 
(epoch: 6, iters: 35120, time: 0.074, data: 0.006) G_GAN: 0.565 G_L1: 8.119 D_real: 0.204 D_fake: 0.094 
(epoch: 6, iters: 35220, time: 0.074, data: 0.011) G_GAN: 0.333 G_L1: 7.651 D_real: 0.218 D_fake: 0.153 
(epoch: 6, iters: 35320, time: 0.074, data: 0.007) G_GAN: 0.380 G_L1: 7.193 D_real: 0.237 D_fake: 0.287 
(epoch: 6, iters: 35420, time: 0.073, data: 0.011) G_GAN: 0.416 G_L1: 8.195 D_real: 0.139 D_fake: 0.137 
(epoch: 6, iters: 35520, time: 0.072, data: 0.006) G_GAN: 0.573 G_L1: 9.748 D_real: 0.060 D_fake: 0.184 
(epoch: 6, iters: 35620, time: 0.073, data: 0.009) G_GAN: 0.540 G_L1: 8.817 D_real: 0.106 D_fake: 0.218 
(epoch: 6, iters: 35720, time: 0.071, data: 0.020) G_GAN: 0.705 G_L1: 9.274 D_real: 0.041 D_fake: 0.197 
saving the latest model (epoch 6, total_iters 275000)
(epoch: 6, iters: 35820, time: 0.073, data: 0.011) G_GAN: 0.431 G_L1: 7.540 D_real: 0.152 D_fake: 0.206 
(epoch: 6, iters: 35920, time: 0.072, data: 0.009) G_GAN: 0.418 G_L1: 7.965 D_real: 0.243 D_fake: 0.143 
(epoch: 6, iters: 36020, time: 0.074, data: 0.008) G_GAN: 0.372 G_L1: 7.574 D_real: 0.271 D_fake: 0.159 
(epoch: 6, iters: 36120, time: 0.073, data: 0.007) G_GAN: 0.335 G_L1: 8.073 D_real: 0.279 D_fake: 0.234 
(epoch: 6, iters: 36220, time: 0.072, data: 0.008) G_GAN: 0.278 G_L1: 6.936 D_real: 0.442 D_fake: 0.097 
(epoch: 6, iters: 36320, time: 0.073, data: 0.006) G_GAN: 0.400 G_L1: 8.138 D_real: 0.132 D_fake: 0.175 
(epoch: 6, iters: 36420, time: 0.072, data: 0.006) G_GAN: 0.362 G_L1: 9.191 D_real: 0.068 D_fake: 0.258 
(epoch: 6, iters: 36520, time: 0.072, data: 0.005) G_GAN: 0.223 G_L1: 8.577 D_real: 0.529 D_fake: 0.044 
(epoch: 6, iters: 36620, time: 0.073, data: 0.007) G_GAN: 0.417 G_L1: 7.847 D_real: 0.239 D_fake: 0.086 
(epoch: 6, iters: 36720, time: 0.145, data: 0.006) G_GAN: 0.456 G_L1: 8.725 D_real: 0.055 D_fake: 0.344 
(epoch: 6, iters: 36820, time: 0.072, data: 0.007) G_GAN: 0.625 G_L1: 9.001 D_real: 0.230 D_fake: 0.023 
(epoch: 6, iters: 36920, time: 0.074, data: 0.007) G_GAN: 0.410 G_L1: 7.449 D_real: 0.176 D_fake: 0.197 
(epoch: 6, iters: 37020, time: 0.074, data: 0.007) G_GAN: 0.521 G_L1: 8.042 D_real: 0.213 D_fake: 0.028 
(epoch: 6, iters: 37120, time: 0.073, data: 0.015) G_GAN: 0.478 G_L1: 9.314 D_real: 0.049 D_fake: 0.662 
(epoch: 6, iters: 37220, time: 0.072, data: 0.010) G_GAN: 0.338 G_L1: 7.319 D_real: 0.249 D_fake: 0.245 
(epoch: 6, iters: 37320, time: 0.073, data: 0.010) G_GAN: 0.392 G_L1: 6.595 D_real: 0.318 D_fake: 0.069 
(epoch: 6, iters: 37420, time: 0.072, data: 0.005) G_GAN: 0.311 G_L1: 8.225 D_real: 0.265 D_fake: 0.183 
(epoch: 6, iters: 37520, time: 0.072, data: 0.006) G_GAN: 0.436 G_L1: 8.092 D_real: 0.098 D_fake: 0.152 
(epoch: 6, iters: 37620, time: 0.071, data: 0.010) G_GAN: 0.497 G_L1: 8.111 D_real: 0.206 D_fake: 0.083 
(epoch: 6, iters: 37720, time: 0.071, data: 0.008) G_GAN: 0.423 G_L1: 7.727 D_real: 0.159 D_fake: 0.161 
(epoch: 6, iters: 37820, time: 0.073, data: 0.006) G_GAN: 0.479 G_L1: 8.741 D_real: 0.145 D_fake: 0.276 
(epoch: 6, iters: 37920, time: 0.072, data: 0.008) G_GAN: 0.268 G_L1: 9.651 D_real: 0.250 D_fake: 0.156 
(epoch: 6, iters: 38020, time: 0.072, data: 0.010) G_GAN: 0.401 G_L1: 9.533 D_real: 0.086 D_fake: 0.297 
(epoch: 6, iters: 38120, time: 0.072, data: 0.007) G_GAN: 0.305 G_L1: 6.659 D_real: 0.224 D_fake: 0.301 
(epoch: 6, iters: 38220, time: 0.072, data: 0.016) G_GAN: 0.553 G_L1: 7.733 D_real: 0.099 D_fake: 0.207 
(epoch: 6, iters: 38320, time: 0.072, data: 0.011) G_GAN: 0.295 G_L1: 7.096 D_real: 0.174 D_fake: 0.217 
(epoch: 6, iters: 38420, time: 0.074, data: 0.007) G_GAN: 0.397 G_L1: 8.859 D_real: 0.280 D_fake: 0.088 
(epoch: 6, iters: 38520, time: 0.072, data: 0.009) G_GAN: 0.431 G_L1: 8.588 D_real: 0.327 D_fake: 0.089 
(epoch: 6, iters: 38620, time: 0.073, data: 0.007) G_GAN: 0.544 G_L1: 9.733 D_real: 0.119 D_fake: 0.180 
(epoch: 6, iters: 38720, time: 0.143, data: 0.008) G_GAN: 0.340 G_L1: 8.033 D_real: 0.148 D_fake: 0.274 
(epoch: 6, iters: 38820, time: 0.073, data: 0.009) G_GAN: 0.515 G_L1: 8.743 D_real: 0.131 D_fake: 0.170 
(epoch: 6, iters: 38920, time: 0.069, data: 0.006) G_GAN: 0.305 G_L1: 7.911 D_real: 0.473 D_fake: 0.036 
(epoch: 6, iters: 39020, time: 0.071, data: 0.008) G_GAN: 0.353 G_L1: 7.228 D_real: 0.408 D_fake: 0.048 
(epoch: 6, iters: 39120, time: 0.073, data: 0.015) G_GAN: 0.272 G_L1: 8.016 D_real: 0.321 D_fake: 0.106 
(epoch: 6, iters: 39220, time: 0.074, data: 0.015) G_GAN: 0.462 G_L1: 8.106 D_real: 0.137 D_fake: 0.100 
(epoch: 6, iters: 39320, time: 0.073, data: 0.006) G_GAN: 0.660 G_L1: 8.041 D_real: 0.019 D_fake: 0.466 
(epoch: 6, iters: 39420, time: 0.074, data: 0.010) G_GAN: 0.473 G_L1: 9.510 D_real: 0.098 D_fake: 0.246 
(epoch: 6, iters: 39520, time: 0.071, data: 0.005) G_GAN: 0.426 G_L1: 7.522 D_real: 0.114 D_fake: 0.089 
(epoch: 6, iters: 39620, time: 0.071, data: 0.010) G_GAN: 0.276 G_L1: 9.277 D_real: 0.205 D_fake: 0.332 
(epoch: 6, iters: 39720, time: 0.074, data: 0.006) G_GAN: 0.610 G_L1: 7.703 D_real: 0.504 D_fake: 0.041 
(epoch: 6, iters: 39820, time: 0.072, data: 0.006) G_GAN: 0.525 G_L1: 8.242 D_real: 0.085 D_fake: 0.233 
(epoch: 6, iters: 39920, time: 0.072, data: 0.009) G_GAN: 0.247 G_L1: 7.952 D_real: 0.213 D_fake: 0.289 
(epoch: 6, iters: 40020, time: 0.072, data: 0.010) G_GAN: 0.379 G_L1: 7.410 D_real: 0.395 D_fake: 0.033 
(epoch: 6, iters: 40120, time: 0.070, data: 0.009) G_GAN: 0.347 G_L1: 6.700 D_real: 0.239 D_fake: 0.175 
(epoch: 6, iters: 40220, time: 0.070, data: 0.009) G_GAN: 0.512 G_L1: 8.295 D_real: 0.223 D_fake: 0.102 
(epoch: 6, iters: 40320, time: 0.073, data: 0.013) G_GAN: 0.374 G_L1: 8.987 D_real: 0.187 D_fake: 0.318 
(epoch: 6, iters: 40420, time: 0.073, data: 0.007) G_GAN: 0.270 G_L1: 7.829 D_real: 0.291 D_fake: 0.108 
(epoch: 6, iters: 40520, time: 0.071, data: 0.012) G_GAN: 0.476 G_L1: 8.480 D_real: 0.116 D_fake: 0.292 
(epoch: 6, iters: 40620, time: 0.074, data: 0.011) G_GAN: 0.219 G_L1: 7.509 D_real: 0.303 D_fake: 0.157 
(epoch: 6, iters: 40720, time: 0.147, data: 0.010) G_GAN: 0.297 G_L1: 8.533 D_real: 0.384 D_fake: 0.133 
saving the latest model (epoch 6, total_iters 280000)
(epoch: 6, iters: 40820, time: 0.070, data: 0.006) G_GAN: 0.496 G_L1: 7.935 D_real: 0.044 D_fake: 0.276 
(epoch: 6, iters: 40920, time: 0.074, data: 0.007) G_GAN: 0.518 G_L1: 8.360 D_real: 0.181 D_fake: 0.155 
(epoch: 6, iters: 41020, time: 0.072, data: 0.007) G_GAN: 0.311 G_L1: 7.820 D_real: 0.247 D_fake: 0.219 
(epoch: 6, iters: 41120, time: 0.072, data: 0.009) G_GAN: 0.560 G_L1: 8.367 D_real: 0.191 D_fake: 0.104 
(epoch: 6, iters: 41220, time: 0.072, data: 0.008) G_GAN: 0.424 G_L1: 8.544 D_real: 0.309 D_fake: 0.049 
(epoch: 6, iters: 41320, time: 0.072, data: 0.010) G_GAN: 0.586 G_L1: 9.775 D_real: 0.247 D_fake: 0.089 
(epoch: 6, iters: 41420, time: 0.072, data: 0.012) G_GAN: 0.349 G_L1: 8.526 D_real: 0.325 D_fake: 0.121 
(epoch: 6, iters: 41520, time: 0.073, data: 0.009) G_GAN: 0.432 G_L1: 7.900 D_real: 0.149 D_fake: 0.107 
(epoch: 6, iters: 41620, time: 0.073, data: 0.008) G_GAN: 0.393 G_L1: 7.818 D_real: 0.180 D_fake: 0.318 
(epoch: 6, iters: 41720, time: 0.071, data: 0.007) G_GAN: 0.663 G_L1: 8.067 D_real: 0.076 D_fake: 0.239 
(epoch: 6, iters: 41820, time: 0.071, data: 0.006) G_GAN: 0.313 G_L1: 8.672 D_real: 0.540 D_fake: 0.032 
(epoch: 6, iters: 41920, time: 0.072, data: 0.011) G_GAN: 0.363 G_L1: 7.120 D_real: 0.078 D_fake: 0.314 
(epoch: 6, iters: 42020, time: 0.073, data: 0.008) G_GAN: 0.258 G_L1: 7.538 D_real: 0.562 D_fake: 0.051 
(epoch: 6, iters: 42120, time: 0.070, data: 0.012) G_GAN: 0.459 G_L1: 7.270 D_real: 0.048 D_fake: 0.342 
(epoch: 6, iters: 42220, time: 0.073, data: 0.006) G_GAN: 0.332 G_L1: 7.728 D_real: 0.200 D_fake: 0.145 
(epoch: 6, iters: 42320, time: 0.073, data: 0.015) G_GAN: 0.447 G_L1: 10.084 D_real: 0.250 D_fake: 0.057 
(epoch: 6, iters: 42420, time: 0.072, data: 0.012) G_GAN: 0.359 G_L1: 8.359 D_real: 0.564 D_fake: 0.019 
(epoch: 6, iters: 42520, time: 0.072, data: 0.009) G_GAN: 0.496 G_L1: 8.982 D_real: 0.041 D_fake: 0.517 
(epoch: 6, iters: 42620, time: 0.071, data: 0.006) G_GAN: 0.425 G_L1: 8.995 D_real: 0.132 D_fake: 0.181 
(epoch: 6, iters: 42720, time: 0.149, data: 0.012) G_GAN: 0.423 G_L1: 7.149 D_real: 0.213 D_fake: 0.201 
(epoch: 6, iters: 42820, time: 0.073, data: 0.006) G_GAN: 0.410 G_L1: 7.853 D_real: 0.070 D_fake: 0.385 
(epoch: 6, iters: 42920, time: 0.071, data: 0.006) G_GAN: 0.421 G_L1: 7.939 D_real: 0.187 D_fake: 0.092 
(epoch: 6, iters: 43020, time: 0.071, data: 0.011) G_GAN: 0.431 G_L1: 7.662 D_real: 0.101 D_fake: 0.399 
(epoch: 6, iters: 43120, time: 0.072, data: 0.007) G_GAN: 0.627 G_L1: 7.980 D_real: 0.057 D_fake: 0.363 
(epoch: 6, iters: 43220, time: 0.071, data: 0.006) G_GAN: 0.203 G_L1: 7.850 D_real: 0.556 D_fake: 0.116 
(epoch: 6, iters: 43320, time: 0.073, data: 0.011) G_GAN: 0.399 G_L1: 8.281 D_real: 0.082 D_fake: 0.467 
(epoch: 6, iters: 43420, time: 0.071, data: 0.007) G_GAN: 0.336 G_L1: 8.775 D_real: 0.083 D_fake: 0.303 
(epoch: 6, iters: 43520, time: 0.073, data: 0.013) G_GAN: 0.455 G_L1: 8.149 D_real: 0.139 D_fake: 0.178 
(epoch: 6, iters: 43620, time: 0.074, data: 0.007) G_GAN: 0.619 G_L1: 8.256 D_real: 0.015 D_fake: 0.285 
(epoch: 6, iters: 43720, time: 0.074, data: 0.007) G_GAN: 0.326 G_L1: 8.056 D_real: 0.215 D_fake: 0.230 
(epoch: 6, iters: 43820, time: 0.073, data: 0.007) G_GAN: 0.421 G_L1: 8.122 D_real: 0.307 D_fake: 0.077 
(epoch: 6, iters: 43920, time: 0.073, data: 0.009) G_GAN: 0.462 G_L1: 9.464 D_real: 0.119 D_fake: 0.232 
(epoch: 6, iters: 44020, time: 0.073, data: 0.007) G_GAN: 0.486 G_L1: 8.862 D_real: 0.136 D_fake: 0.120 
(epoch: 6, iters: 44120, time: 0.075, data: 0.007) G_GAN: 0.436 G_L1: 7.130 D_real: 0.234 D_fake: 0.089 
(epoch: 6, iters: 44220, time: 0.073, data: 0.009) G_GAN: 0.407 G_L1: 8.456 D_real: 0.027 D_fake: 0.581 
(epoch: 6, iters: 44320, time: 0.073, data: 0.007) G_GAN: 0.635 G_L1: 7.817 D_real: 0.385 D_fake: 0.021 
(epoch: 6, iters: 44420, time: 0.073, data: 0.007) G_GAN: 0.538 G_L1: 8.947 D_real: 0.076 D_fake: 0.400 
(epoch: 6, iters: 44520, time: 0.073, data: 0.005) G_GAN: 0.349 G_L1: 7.898 D_real: 0.232 D_fake: 0.081 
(epoch: 6, iters: 44620, time: 0.070, data: 0.007) G_GAN: 0.565 G_L1: 7.571 D_real: 0.053 D_fake: 0.430 
(epoch: 6, iters: 44720, time: 0.152, data: 0.008) G_GAN: 0.694 G_L1: 8.514 D_real: 0.036 D_fake: 0.464 
(epoch: 6, iters: 44820, time: 0.071, data: 0.009) G_GAN: 0.568 G_L1: 6.869 D_real: 0.056 D_fake: 0.201 
(epoch: 6, iters: 44920, time: 0.072, data: 0.006) G_GAN: 0.364 G_L1: 7.560 D_real: 0.395 D_fake: 0.059 
(epoch: 6, iters: 45020, time: 0.072, data: 0.008) G_GAN: 0.315 G_L1: 8.993 D_real: 0.228 D_fake: 0.162 
(epoch: 6, iters: 45120, time: 0.073, data: 0.007) G_GAN: 0.383 G_L1: 9.083 D_real: 0.176 D_fake: 0.125 
(epoch: 6, iters: 45220, time: 0.073, data: 0.012) G_GAN: 0.608 G_L1: 8.192 D_real: 0.080 D_fake: 0.148 
(epoch: 6, iters: 45320, time: 0.073, data: 0.014) G_GAN: 0.432 G_L1: 7.932 D_real: 0.105 D_fake: 0.255 
(epoch: 6, iters: 45420, time: 0.073, data: 0.009) G_GAN: 0.416 G_L1: 8.429 D_real: 0.117 D_fake: 0.206 
(epoch: 6, iters: 45520, time: 0.072, data: 0.009) G_GAN: 0.268 G_L1: 8.589 D_real: 0.264 D_fake: 0.166 
(epoch: 6, iters: 45620, time: 0.072, data: 0.009) G_GAN: 0.406 G_L1: 7.735 D_real: 0.360 D_fake: 0.066 
(epoch: 6, iters: 45720, time: 0.071, data: 0.006) G_GAN: 0.406 G_L1: 8.445 D_real: 0.073 D_fake: 0.224 
saving the latest model (epoch 6, total_iters 285000)
(epoch: 6, iters: 45820, time: 0.074, data: 0.006) G_GAN: 0.539 G_L1: 8.692 D_real: 0.116 D_fake: 0.323 
(epoch: 6, iters: 45920, time: 0.073, data: 0.009) G_GAN: 0.500 G_L1: 9.619 D_real: 0.088 D_fake: 0.095 
(epoch: 6, iters: 46020, time: 0.072, data: 0.007) G_GAN: 0.360 G_L1: 8.183 D_real: 0.209 D_fake: 0.180 
(epoch: 6, iters: 46120, time: 0.073, data: 0.008) G_GAN: 0.414 G_L1: 6.665 D_real: 0.257 D_fake: 0.257 
(epoch: 6, iters: 46220, time: 0.074, data: 0.007) G_GAN: 0.338 G_L1: 6.921 D_real: 0.300 D_fake: 0.131 
(epoch: 6, iters: 46320, time: 0.073, data: 0.010) G_GAN: 0.863 G_L1: 7.592 D_real: 0.056 D_fake: 0.317 
(epoch: 6, iters: 46420, time: 0.073, data: 0.008) G_GAN: 0.782 G_L1: 8.343 D_real: 0.089 D_fake: 0.276 
(epoch: 6, iters: 46520, time: 0.072, data: 0.007) G_GAN: 0.198 G_L1: 7.673 D_real: 0.543 D_fake: 0.053 
(epoch: 6, iters: 46620, time: 0.072, data: 0.006) G_GAN: 0.215 G_L1: 7.723 D_real: 0.405 D_fake: 0.143 
(epoch: 6, iters: 46720, time: 0.144, data: 0.006) G_GAN: 0.295 G_L1: 8.324 D_real: 0.280 D_fake: 0.204 
(epoch: 6, iters: 46820, time: 0.073, data: 0.009) G_GAN: 0.233 G_L1: 7.918 D_real: 0.538 D_fake: 0.050 
(epoch: 6, iters: 46920, time: 0.073, data: 0.007) G_GAN: 0.541 G_L1: 8.173 D_real: 0.105 D_fake: 0.295 
(epoch: 6, iters: 47020, time: 0.071, data: 0.007) G_GAN: 0.255 G_L1: 8.716 D_real: 0.311 D_fake: 0.097 
(epoch: 6, iters: 47120, time: 0.071, data: 0.010) G_GAN: 0.224 G_L1: 7.394 D_real: 0.214 D_fake: 0.279 
(epoch: 6, iters: 47220, time: 0.072, data: 0.005) G_GAN: 0.595 G_L1: 7.911 D_real: 0.053 D_fake: 0.281 
(epoch: 6, iters: 47320, time: 0.071, data: 0.009) G_GAN: 0.502 G_L1: 7.451 D_real: 0.048 D_fake: 0.217 
(epoch: 6, iters: 47420, time: 0.072, data: 0.016) G_GAN: 0.841 G_L1: 8.305 D_real: 0.034 D_fake: 0.329 
(epoch: 6, iters: 47520, time: 0.070, data: 0.006) G_GAN: 0.819 G_L1: 7.771 D_real: 0.056 D_fake: 0.352 
(epoch: 6, iters: 47620, time: 0.072, data: 0.010) G_GAN: 0.667 G_L1: 8.932 D_real: 0.067 D_fake: 0.304 
(epoch: 6, iters: 47720, time: 0.072, data: 0.010) G_GAN: 0.533 G_L1: 8.583 D_real: 0.307 D_fake: 0.052 
(epoch: 6, iters: 47820, time: 0.072, data: 0.005) G_GAN: 0.400 G_L1: 7.150 D_real: 0.191 D_fake: 0.166 
saving the model at the end of epoch 6, iters 287136
End of epoch 6 / 20 	 Time Taken: 1972 sec
learning rate 0.0002000 -> 0.0002000
(epoch: 7, iters: 64, time: 0.149, data: 0.006) G_GAN: 0.589 G_L1: 7.166 D_real: 0.406 D_fake: 0.168 
(epoch: 7, iters: 164, time: 0.069, data: 0.007) G_GAN: 0.534 G_L1: 9.559 D_real: 0.074 D_fake: 0.321 
(epoch: 7, iters: 264, time: 0.072, data: 0.010) G_GAN: 0.391 G_L1: 7.273 D_real: 0.091 D_fake: 0.298 
(epoch: 7, iters: 364, time: 0.071, data: 0.009) G_GAN: 0.309 G_L1: 8.458 D_real: 0.705 D_fake: 0.030 
(epoch: 7, iters: 464, time: 0.072, data: 0.008) G_GAN: 0.418 G_L1: 8.386 D_real: 0.088 D_fake: 0.211 
(epoch: 7, iters: 564, time: 0.071, data: 0.012) G_GAN: 0.225 G_L1: 6.876 D_real: 0.454 D_fake: 0.081 
(epoch: 7, iters: 664, time: 0.071, data: 0.007) G_GAN: 0.787 G_L1: 7.240 D_real: 0.038 D_fake: 0.222 
(epoch: 7, iters: 764, time: 0.072, data: 0.012) G_GAN: 0.641 G_L1: 7.409 D_real: 0.053 D_fake: 0.153 
(epoch: 7, iters: 864, time: 0.154, data: 0.017) G_GAN: 0.417 G_L1: 8.541 D_real: 0.092 D_fake: 0.278 
(epoch: 7, iters: 964, time: 0.071, data: 0.008) G_GAN: 0.260 G_L1: 8.136 D_real: 0.442 D_fake: 0.013 
(epoch: 7, iters: 1064, time: 0.066, data: 0.008) G_GAN: 0.496 G_L1: 7.084 D_real: 0.248 D_fake: 0.082 
(epoch: 7, iters: 1164, time: 0.067, data: 0.006) G_GAN: 0.387 G_L1: 6.623 D_real: 0.293 D_fake: 0.068 
(epoch: 7, iters: 1264, time: 0.069, data: 0.007) G_GAN: 0.417 G_L1: 7.451 D_real: 0.094 D_fake: 0.170 
(epoch: 7, iters: 1364, time: 0.070, data: 0.009) G_GAN: 0.536 G_L1: 8.446 D_real: 0.057 D_fake: 0.349 
(epoch: 7, iters: 1464, time: 0.071, data: 0.006) G_GAN: 0.496 G_L1: 8.679 D_real: 0.119 D_fake: 0.193 
(epoch: 7, iters: 1564, time: 0.070, data: 0.009) G_GAN: 0.571 G_L1: 8.266 D_real: 0.130 D_fake: 0.264 
(epoch: 7, iters: 1664, time: 0.071, data: 0.007) G_GAN: 0.601 G_L1: 8.016 D_real: 0.037 D_fake: 0.374 
(epoch: 7, iters: 1764, time: 0.071, data: 0.007) G_GAN: 0.583 G_L1: 8.252 D_real: 0.103 D_fake: 0.268 
(epoch: 7, iters: 1864, time: 0.071, data: 0.006) G_GAN: 0.295 G_L1: 7.527 D_real: 0.297 D_fake: 0.065 
(epoch: 7, iters: 1964, time: 0.068, data: 0.005) G_GAN: 0.388 G_L1: 7.595 D_real: 0.297 D_fake: 0.067 
(epoch: 7, iters: 2064, time: 0.068, data: 0.007) G_GAN: 0.846 G_L1: 8.848 D_real: 0.119 D_fake: 0.312 
(epoch: 7, iters: 2164, time: 0.072, data: 0.006) G_GAN: 0.455 G_L1: 8.426 D_real: 0.299 D_fake: 0.064 
(epoch: 7, iters: 2264, time: 0.070, data: 0.012) G_GAN: 0.307 G_L1: 8.152 D_real: 0.373 D_fake: 0.079 
(epoch: 7, iters: 2364, time: 0.070, data: 0.008) G_GAN: 0.681 G_L1: 7.770 D_real: 0.022 D_fake: 0.125 
(epoch: 7, iters: 2464, time: 0.064, data: 0.006) G_GAN: 0.474 G_L1: 9.755 D_real: 0.028 D_fake: 0.455 
(epoch: 7, iters: 2564, time: 0.070, data: 0.007) G_GAN: 0.624 G_L1: 8.191 D_real: 0.117 D_fake: 0.201 
(epoch: 7, iters: 2664, time: 0.067, data: 0.013) G_GAN: 0.272 G_L1: 8.623 D_real: 0.323 D_fake: 0.034 
(epoch: 7, iters: 2764, time: 0.067, data: 0.010) G_GAN: 0.384 G_L1: 8.247 D_real: 0.186 D_fake: 0.224 
(epoch: 7, iters: 2864, time: 0.144, data: 0.008) G_GAN: 0.142 G_L1: 7.960 D_real: 0.372 D_fake: 0.135 
saving the latest model (epoch 7, total_iters 290000)
(epoch: 7, iters: 2964, time: 0.072, data: 0.006) G_GAN: 0.423 G_L1: 8.309 D_real: 0.153 D_fake: 0.064 
(epoch: 7, iters: 3064, time: 0.071, data: 0.008) G_GAN: 0.287 G_L1: 9.235 D_real: 0.209 D_fake: 0.197 
(epoch: 7, iters: 3164, time: 0.067, data: 0.007) G_GAN: 0.536 G_L1: 9.228 D_real: 0.116 D_fake: 0.054 
(epoch: 7, iters: 3264, time: 0.071, data: 0.010) G_GAN: 0.406 G_L1: 7.506 D_real: 0.144 D_fake: 0.283 
(epoch: 7, iters: 3364, time: 0.071, data: 0.007) G_GAN: 0.217 G_L1: 8.171 D_real: 0.401 D_fake: 0.060 
(epoch: 7, iters: 3464, time: 0.068, data: 0.006) G_GAN: 0.655 G_L1: 9.441 D_real: 0.126 D_fake: 0.183 
(epoch: 7, iters: 3564, time: 0.072, data: 0.007) G_GAN: 0.755 G_L1: 9.352 D_real: 0.034 D_fake: 0.769 
(epoch: 7, iters: 3664, time: 0.072, data: 0.006) G_GAN: 0.420 G_L1: 7.768 D_real: 0.184 D_fake: 0.064 
(epoch: 7, iters: 3764, time: 0.071, data: 0.010) G_GAN: 0.362 G_L1: 7.769 D_real: 0.164 D_fake: 0.153 
(epoch: 7, iters: 3864, time: 0.070, data: 0.011) G_GAN: 0.567 G_L1: 7.320 D_real: 0.077 D_fake: 0.068 
(epoch: 7, iters: 3964, time: 0.070, data: 0.010) G_GAN: 0.506 G_L1: 7.527 D_real: 0.086 D_fake: 0.358 
(epoch: 7, iters: 4064, time: 0.071, data: 0.007) G_GAN: 0.437 G_L1: 8.269 D_real: 0.111 D_fake: 0.248 
(epoch: 7, iters: 4164, time: 0.069, data: 0.006) G_GAN: 0.511 G_L1: 8.207 D_real: 0.364 D_fake: 0.112 
(epoch: 7, iters: 4264, time: 0.067, data: 0.007) G_GAN: 0.322 G_L1: 8.634 D_real: 0.496 D_fake: 0.048 
(epoch: 7, iters: 4364, time: 0.071, data: 0.006) G_GAN: 0.453 G_L1: 7.681 D_real: 0.108 D_fake: 0.142 
(epoch: 7, iters: 4464, time: 0.069, data: 0.007) G_GAN: 0.534 G_L1: 7.578 D_real: 0.071 D_fake: 0.244 
(epoch: 7, iters: 4564, time: 0.070, data: 0.008) G_GAN: 0.410 G_L1: 9.015 D_real: 0.149 D_fake: 0.235 
(epoch: 7, iters: 4664, time: 0.071, data: 0.010) G_GAN: 0.578 G_L1: 9.125 D_real: 0.105 D_fake: 0.058 
(epoch: 7, iters: 4764, time: 0.071, data: 0.008) G_GAN: 0.512 G_L1: 7.735 D_real: 0.126 D_fake: 0.054 
(epoch: 7, iters: 4864, time: 0.143, data: 0.008) G_GAN: 0.457 G_L1: 7.258 D_real: 0.401 D_fake: 0.062 
(epoch: 7, iters: 4964, time: 0.068, data: 0.006) G_GAN: 0.610 G_L1: 8.699 D_real: 0.101 D_fake: 0.165 
(epoch: 7, iters: 5064, time: 0.068, data: 0.007) G_GAN: 1.938 G_L1: 8.027 D_real: 0.814 D_fake: 0.623 
(epoch: 7, iters: 5164, time: 0.069, data: 0.006) G_GAN: 0.365 G_L1: 7.124 D_real: 0.128 D_fake: 0.193 
(epoch: 7, iters: 5264, time: 0.070, data: 0.006) G_GAN: 0.476 G_L1: 7.438 D_real: 0.039 D_fake: 0.166 
(epoch: 7, iters: 5364, time: 0.070, data: 0.010) G_GAN: 0.455 G_L1: 6.413 D_real: 0.064 D_fake: 0.216 
(epoch: 7, iters: 5464, time: 0.070, data: 0.006) G_GAN: 0.411 G_L1: 6.978 D_real: 0.199 D_fake: 0.055 
(epoch: 7, iters: 5564, time: 0.069, data: 0.007) G_GAN: 0.386 G_L1: 7.259 D_real: 0.036 D_fake: 0.282 
(epoch: 7, iters: 5664, time: 0.069, data: 0.010) G_GAN: 0.678 G_L1: 7.564 D_real: 0.047 D_fake: 0.223 
(epoch: 7, iters: 5764, time: 0.071, data: 0.008) G_GAN: 0.352 G_L1: 7.807 D_real: 0.084 D_fake: 0.197 
(epoch: 7, iters: 5864, time: 0.071, data: 0.012) G_GAN: 0.534 G_L1: 6.803 D_real: 0.115 D_fake: 0.086 
(epoch: 7, iters: 5964, time: 0.070, data: 0.007) G_GAN: 0.612 G_L1: 7.827 D_real: 0.065 D_fake: 0.152 
(epoch: 7, iters: 6064, time: 0.070, data: 0.007) G_GAN: 0.564 G_L1: 7.485 D_real: 0.055 D_fake: 0.212 
(epoch: 7, iters: 6164, time: 0.069, data: 0.008) G_GAN: 0.501 G_L1: 8.261 D_real: 0.238 D_fake: 0.081 
(epoch: 7, iters: 6264, time: 0.068, data: 0.008) G_GAN: 0.449 G_L1: 8.331 D_real: 0.035 D_fake: 0.279 
(epoch: 7, iters: 6364, time: 0.067, data: 0.008) G_GAN: 0.522 G_L1: 8.501 D_real: 0.087 D_fake: 0.200 
(epoch: 7, iters: 6464, time: 0.067, data: 0.007) G_GAN: 0.413 G_L1: 8.128 D_real: 0.187 D_fake: 0.169 
(epoch: 7, iters: 6564, time: 0.066, data: 0.005) G_GAN: 0.396 G_L1: 8.747 D_real: 0.078 D_fake: 0.371 
(epoch: 7, iters: 6664, time: 0.071, data: 0.007) G_GAN: 0.538 G_L1: 8.332 D_real: 0.167 D_fake: 0.152 
(epoch: 7, iters: 6764, time: 0.071, data: 0.006) G_GAN: 0.339 G_L1: 6.542 D_real: 0.106 D_fake: 0.234 
(epoch: 7, iters: 6864, time: 0.139, data: 0.012) G_GAN: 0.462 G_L1: 8.961 D_real: 0.508 D_fake: 0.066 
(epoch: 7, iters: 6964, time: 0.071, data: 0.006) G_GAN: 0.547 G_L1: 7.760 D_real: 0.057 D_fake: 0.429 
(epoch: 7, iters: 7064, time: 0.072, data: 0.006) G_GAN: 0.501 G_L1: 8.687 D_real: 0.120 D_fake: 0.417 
(epoch: 7, iters: 7164, time: 0.074, data: 0.008) G_GAN: 0.429 G_L1: 7.892 D_real: 0.197 D_fake: 0.135 
(epoch: 7, iters: 7264, time: 0.073, data: 0.007) G_GAN: 0.435 G_L1: 7.919 D_real: 0.145 D_fake: 0.114 
(epoch: 7, iters: 7364, time: 0.073, data: 0.006) G_GAN: 0.427 G_L1: 8.900 D_real: 0.156 D_fake: 0.149 
(epoch: 7, iters: 7464, time: 0.074, data: 0.007) G_GAN: 0.372 G_L1: 6.674 D_real: 0.371 D_fake: 0.101 
(epoch: 7, iters: 7564, time: 0.073, data: 0.007) G_GAN: 0.433 G_L1: 7.968 D_real: 0.112 D_fake: 0.212 
(epoch: 7, iters: 7664, time: 0.072, data: 0.006) G_GAN: 0.364 G_L1: 7.968 D_real: 0.325 D_fake: 0.112 
(epoch: 7, iters: 7764, time: 0.074, data: 0.006) G_GAN: 0.353 G_L1: 8.101 D_real: 0.173 D_fake: 0.233 
(epoch: 7, iters: 7864, time: 0.072, data: 0.008) G_GAN: 0.168 G_L1: 7.948 D_real: 0.370 D_fake: 0.105 
saving the latest model (epoch 7, total_iters 295000)
(epoch: 7, iters: 7964, time: 0.074, data: 0.010) G_GAN: 0.405 G_L1: 8.861 D_real: 0.098 D_fake: 0.263 
(epoch: 7, iters: 8064, time: 0.072, data: 0.007) G_GAN: 0.440 G_L1: 9.295 D_real: 0.241 D_fake: 0.073 
(epoch: 7, iters: 8164, time: 0.072, data: 0.009) G_GAN: 0.538 G_L1: 8.399 D_real: 0.106 D_fake: 0.043 
(epoch: 7, iters: 8264, time: 0.072, data: 0.011) G_GAN: 0.451 G_L1: 7.988 D_real: 0.338 D_fake: 0.044 
(epoch: 7, iters: 8364, time: 0.072, data: 0.009) G_GAN: 0.524 G_L1: 7.096 D_real: 0.176 D_fake: 0.323 
(epoch: 7, iters: 8464, time: 0.073, data: 0.008) G_GAN: 0.681 G_L1: 8.536 D_real: 0.082 D_fake: 0.171 
(epoch: 7, iters: 8564, time: 0.070, data: 0.008) G_GAN: 0.539 G_L1: 9.429 D_real: 0.089 D_fake: 0.106 
(epoch: 7, iters: 8664, time: 0.072, data: 0.009) G_GAN: 0.467 G_L1: 7.264 D_real: 0.142 D_fake: 0.182 
(epoch: 7, iters: 8764, time: 0.072, data: 0.007) G_GAN: 0.262 G_L1: 7.095 D_real: 0.230 D_fake: 0.377 
(epoch: 7, iters: 8864, time: 0.149, data: 0.009) G_GAN: 0.428 G_L1: 7.357 D_real: 0.199 D_fake: 0.331 
(epoch: 7, iters: 8964, time: 0.073, data: 0.009) G_GAN: 0.408 G_L1: 9.222 D_real: 0.245 D_fake: 0.076 
(epoch: 7, iters: 9064, time: 0.074, data: 0.005) G_GAN: 0.415 G_L1: 8.059 D_real: 0.077 D_fake: 0.264 
(epoch: 7, iters: 9164, time: 0.073, data: 0.007) G_GAN: 0.586 G_L1: 9.699 D_real: 0.049 D_fake: 0.370 
(epoch: 7, iters: 9264, time: 0.072, data: 0.006) G_GAN: 0.390 G_L1: 6.718 D_real: 0.188 D_fake: 0.143 
(epoch: 7, iters: 9364, time: 0.074, data: 0.010) G_GAN: 0.575 G_L1: 6.904 D_real: 0.159 D_fake: 0.125 
(epoch: 7, iters: 9464, time: 0.073, data: 0.007) G_GAN: 0.427 G_L1: 6.801 D_real: 0.083 D_fake: 0.178 
(epoch: 7, iters: 9564, time: 0.071, data: 0.007) G_GAN: 0.487 G_L1: 7.734 D_real: 0.502 D_fake: 0.058 
(epoch: 7, iters: 9664, time: 0.070, data: 0.006) G_GAN: 0.381 G_L1: 8.870 D_real: 0.332 D_fake: 0.092 
(epoch: 7, iters: 9764, time: 0.073, data: 0.007) G_GAN: 0.301 G_L1: 9.109 D_real: 0.394 D_fake: 0.024 
(epoch: 7, iters: 9864, time: 0.072, data: 0.010) G_GAN: 0.539 G_L1: 9.029 D_real: 0.081 D_fake: 0.145 
(epoch: 7, iters: 9964, time: 0.073, data: 0.007) G_GAN: 0.478 G_L1: 9.504 D_real: 0.311 D_fake: 0.081 
(epoch: 7, iters: 10064, time: 0.074, data: 0.006) G_GAN: 0.435 G_L1: 7.567 D_real: 0.121 D_fake: 0.236 
(epoch: 7, iters: 10164, time: 0.071, data: 0.009) G_GAN: 0.765 G_L1: 8.473 D_real: 0.188 D_fake: 0.076 
(epoch: 7, iters: 10264, time: 0.072, data: 0.010) G_GAN: 0.233 G_L1: 7.195 D_real: 0.255 D_fake: 0.213 
(epoch: 7, iters: 10364, time: 0.073, data: 0.011) G_GAN: 0.720 G_L1: 8.113 D_real: 0.095 D_fake: 0.126 
(epoch: 7, iters: 10464, time: 0.073, data: 0.007) G_GAN: 0.467 G_L1: 8.694 D_real: 0.192 D_fake: 0.175 
(epoch: 7, iters: 10564, time: 0.074, data: 0.007) G_GAN: 0.390 G_L1: 7.855 D_real: 0.202 D_fake: 0.084 
(epoch: 7, iters: 10664, time: 0.074, data: 0.006) G_GAN: 0.392 G_L1: 8.272 D_real: 0.180 D_fake: 0.154 
(epoch: 7, iters: 10764, time: 0.073, data: 0.008) G_GAN: 0.382 G_L1: 8.495 D_real: 0.116 D_fake: 0.128 
(epoch: 7, iters: 10864, time: 0.143, data: 0.011) G_GAN: 0.540 G_L1: 9.842 D_real: 0.086 D_fake: 0.262 
(epoch: 7, iters: 10964, time: 0.072, data: 0.006) G_GAN: 0.886 G_L1: 8.116 D_real: 0.018 D_fake: 0.257 
(epoch: 7, iters: 11064, time: 0.075, data: 0.007) G_GAN: 0.602 G_L1: 8.238 D_real: 0.074 D_fake: 0.085 
(epoch: 7, iters: 11164, time: 0.072, data: 0.007) G_GAN: 0.681 G_L1: 7.547 D_real: 0.272 D_fake: 0.041 
(epoch: 7, iters: 11264, time: 0.073, data: 0.009) G_GAN: 0.486 G_L1: 7.349 D_real: 0.031 D_fake: 0.254 
(epoch: 7, iters: 11364, time: 0.073, data: 0.007) G_GAN: 0.361 G_L1: 7.290 D_real: 0.238 D_fake: 0.161 
(epoch: 7, iters: 11464, time: 0.071, data: 0.006) G_GAN: 0.548 G_L1: 8.051 D_real: 0.241 D_fake: 0.130 
(epoch: 7, iters: 11564, time: 0.071, data: 0.011) G_GAN: 0.325 G_L1: 8.524 D_real: 0.235 D_fake: 0.257 
(epoch: 7, iters: 11664, time: 0.074, data: 0.010) G_GAN: 0.557 G_L1: 8.434 D_real: 0.016 D_fake: 0.413 
(epoch: 7, iters: 11764, time: 0.073, data: 0.006) G_GAN: 0.676 G_L1: 8.561 D_real: 0.224 D_fake: 0.114 
(epoch: 7, iters: 11864, time: 0.073, data: 0.009) G_GAN: 0.487 G_L1: 9.290 D_real: 0.618 D_fake: 0.026 
(epoch: 7, iters: 11964, time: 0.072, data: 0.006) G_GAN: 0.925 G_L1: 9.339 D_real: 0.014 D_fake: 0.144 
(epoch: 7, iters: 12064, time: 0.074, data: 0.006) G_GAN: 0.650 G_L1: 8.261 D_real: 0.100 D_fake: 0.174 
(epoch: 7, iters: 12164, time: 0.073, data: 0.007) G_GAN: 0.801 G_L1: 10.145 D_real: 0.033 D_fake: 0.273 
(epoch: 7, iters: 12264, time: 0.074, data: 0.006) G_GAN: 0.779 G_L1: 8.726 D_real: 0.098 D_fake: 0.138 
(epoch: 7, iters: 12364, time: 0.073, data: 0.010) G_GAN: 0.582 G_L1: 7.695 D_real: 0.033 D_fake: 0.452 
(epoch: 7, iters: 12464, time: 0.074, data: 0.007) G_GAN: 0.894 G_L1: 7.738 D_real: 0.027 D_fake: 0.157 
(epoch: 7, iters: 12564, time: 0.072, data: 0.006) G_GAN: 0.770 G_L1: 6.903 D_real: 0.468 D_fake: 0.026 
(epoch: 7, iters: 12664, time: 0.074, data: 0.009) G_GAN: 0.515 G_L1: 7.457 D_real: 0.238 D_fake: 0.055 
(epoch: 7, iters: 12764, time: 0.072, data: 0.006) G_GAN: 0.630 G_L1: 8.147 D_real: 0.114 D_fake: 0.090 
(epoch: 7, iters: 12864, time: 0.153, data: 0.007) G_GAN: 0.800 G_L1: 8.597 D_real: 0.296 D_fake: 0.021 
saving the latest model (epoch 7, total_iters 300000)
(epoch: 7, iters: 12964, time: 0.073, data: 0.008) G_GAN: 0.448 G_L1: 8.958 D_real: 0.136 D_fake: 0.052 
(epoch: 7, iters: 13064, time: 0.072, data: 0.010) G_GAN: 0.518 G_L1: 7.735 D_real: 0.219 D_fake: 0.162 
(epoch: 7, iters: 13164, time: 0.073, data: 0.007) G_GAN: 0.577 G_L1: 8.256 D_real: 0.103 D_fake: 0.184 
(epoch: 7, iters: 13264, time: 0.072, data: 0.007) G_GAN: 0.615 G_L1: 8.635 D_real: 0.110 D_fake: 0.383 
(epoch: 7, iters: 13364, time: 0.072, data: 0.008) G_GAN: 0.865 G_L1: 7.925 D_real: 0.154 D_fake: 0.278 
(epoch: 7, iters: 13464, time: 0.073, data: 0.005) G_GAN: 0.686 G_L1: 8.270 D_real: 0.032 D_fake: 0.366 
(epoch: 7, iters: 13564, time: 0.072, data: 0.010) G_GAN: 0.589 G_L1: 7.935 D_real: 0.118 D_fake: 0.094 
(epoch: 7, iters: 13664, time: 0.069, data: 0.009) G_GAN: 0.622 G_L1: 8.033 D_real: 0.064 D_fake: 0.228 
(epoch: 7, iters: 13764, time: 0.071, data: 0.006) G_GAN: 1.034 G_L1: 9.190 D_real: 0.036 D_fake: 0.352 
(epoch: 7, iters: 13864, time: 0.071, data: 0.010) G_GAN: 0.595 G_L1: 7.381 D_real: 0.108 D_fake: 0.132 
(epoch: 7, iters: 13964, time: 0.073, data: 0.005) G_GAN: 0.462 G_L1: 8.523 D_real: 0.120 D_fake: 0.106 
(epoch: 7, iters: 14064, time: 0.073, data: 0.008) G_GAN: 0.715 G_L1: 8.232 D_real: 0.024 D_fake: 0.483 
(epoch: 7, iters: 14164, time: 0.073, data: 0.007) G_GAN: 0.596 G_L1: 7.635 D_real: 0.061 D_fake: 0.294 
(epoch: 7, iters: 14264, time: 0.073, data: 0.006) G_GAN: 0.663 G_L1: 9.732 D_real: 0.061 D_fake: 0.135 
(epoch: 7, iters: 14364, time: 0.073, data: 0.007) G_GAN: 0.396 G_L1: 7.107 D_real: 0.264 D_fake: 0.138 
(epoch: 7, iters: 14464, time: 0.073, data: 0.007) G_GAN: 0.429 G_L1: 7.292 D_real: 0.145 D_fake: 0.181 
(epoch: 7, iters: 14564, time: 0.073, data: 0.011) G_GAN: 0.717 G_L1: 9.207 D_real: 0.094 D_fake: 0.051 
(epoch: 7, iters: 14664, time: 0.073, data: 0.008) G_GAN: 0.412 G_L1: 7.601 D_real: 0.126 D_fake: 0.235 
(epoch: 7, iters: 14764, time: 0.073, data: 0.006) G_GAN: 0.604 G_L1: 7.136 D_real: 0.169 D_fake: 0.043 
(epoch: 7, iters: 14864, time: 0.146, data: 0.010) G_GAN: 0.691 G_L1: 9.663 D_real: 0.080 D_fake: 0.141 
(epoch: 7, iters: 14964, time: 0.073, data: 0.007) G_GAN: 0.503 G_L1: 9.721 D_real: 0.124 D_fake: 0.100 
(epoch: 7, iters: 15064, time: 0.073, data: 0.007) G_GAN: 0.686 G_L1: 8.865 D_real: 0.020 D_fake: 0.433 
(epoch: 7, iters: 15164, time: 0.072, data: 0.007) G_GAN: 1.207 G_L1: 9.604 D_real: 0.026 D_fake: 0.042 
(epoch: 7, iters: 15264, time: 0.071, data: 0.007) G_GAN: 0.849 G_L1: 9.123 D_real: 0.096 D_fake: 0.066 
(epoch: 7, iters: 15364, time: 0.073, data: 0.012) G_GAN: 0.367 G_L1: 7.532 D_real: 0.464 D_fake: 0.077 
(epoch: 7, iters: 15464, time: 0.075, data: 0.010) G_GAN: 0.736 G_L1: 8.663 D_real: 0.060 D_fake: 0.039 
(epoch: 7, iters: 15564, time: 0.072, data: 0.007) G_GAN: 0.900 G_L1: 8.121 D_real: 0.028 D_fake: 0.040 
(epoch: 7, iters: 15664, time: 0.073, data: 0.022) G_GAN: 1.094 G_L1: 9.136 D_real: 0.021 D_fake: 0.281 
(epoch: 7, iters: 15764, time: 0.073, data: 0.006) G_GAN: 0.565 G_L1: 6.961 D_real: 0.056 D_fake: 0.345 
(epoch: 7, iters: 15864, time: 0.072, data: 0.006) G_GAN: 0.691 G_L1: 7.586 D_real: 0.113 D_fake: 0.076 
(epoch: 7, iters: 15964, time: 0.073, data: 0.005) G_GAN: 0.728 G_L1: 8.449 D_real: 0.123 D_fake: 0.020 
(epoch: 7, iters: 16064, time: 0.073, data: 0.006) G_GAN: 0.707 G_L1: 9.316 D_real: 0.119 D_fake: 0.032 
(epoch: 7, iters: 16164, time: 0.071, data: 0.007) G_GAN: 0.824 G_L1: 8.447 D_real: 0.271 D_fake: 0.021 
(epoch: 7, iters: 16264, time: 0.072, data: 0.006) G_GAN: 0.886 G_L1: 8.366 D_real: 0.021 D_fake: 0.145 
(epoch: 7, iters: 16364, time: 0.073, data: 0.011) G_GAN: 0.504 G_L1: 8.670 D_real: 0.312 D_fake: 0.058 
(epoch: 7, iters: 16464, time: 0.074, data: 0.006) G_GAN: 0.808 G_L1: 7.126 D_real: 0.294 D_fake: 0.036 
(epoch: 7, iters: 16564, time: 0.074, data: 0.005) G_GAN: 1.154 G_L1: 8.316 D_real: 0.033 D_fake: 0.089 
(epoch: 7, iters: 16664, time: 0.070, data: 0.005) G_GAN: 0.523 G_L1: 8.153 D_real: 0.207 D_fake: 0.046 
(epoch: 7, iters: 16764, time: 0.072, data: 0.007) G_GAN: 0.644 G_L1: 8.196 D_real: 0.481 D_fake: 0.025 
(epoch: 7, iters: 16864, time: 0.152, data: 0.012) G_GAN: 0.787 G_L1: 7.667 D_real: 0.029 D_fake: 0.053 
(epoch: 7, iters: 16964, time: 0.072, data: 0.007) G_GAN: 0.412 G_L1: 8.292 D_real: 0.444 D_fake: 0.019 
(epoch: 7, iters: 17064, time: 0.072, data: 0.007) G_GAN: 0.697 G_L1: 8.581 D_real: 0.106 D_fake: 0.020 
(epoch: 7, iters: 17164, time: 0.072, data: 0.006) G_GAN: 0.541 G_L1: 9.004 D_real: 0.058 D_fake: 0.164 
(epoch: 7, iters: 17264, time: 0.073, data: 0.008) G_GAN: 0.864 G_L1: 10.258 D_real: 0.026 D_fake: 0.385 
(epoch: 7, iters: 17364, time: 0.073, data: 0.007) G_GAN: 0.410 G_L1: 8.891 D_real: 0.187 D_fake: 0.069 
(epoch: 7, iters: 17464, time: 0.073, data: 0.009) G_GAN: 1.155 G_L1: 7.889 D_real: 0.028 D_fake: 0.069 
(epoch: 7, iters: 17564, time: 0.073, data: 0.006) G_GAN: 0.682 G_L1: 6.958 D_real: 0.186 D_fake: 0.036 
(epoch: 7, iters: 17664, time: 0.072, data: 0.008) G_GAN: 0.962 G_L1: 8.517 D_real: 0.033 D_fake: 0.089 
(epoch: 7, iters: 17764, time: 0.073, data: 0.006) G_GAN: 1.020 G_L1: 8.988 D_real: 0.097 D_fake: 0.430 
(epoch: 7, iters: 17864, time: 0.073, data: 0.007) G_GAN: 0.741 G_L1: 8.447 D_real: 0.063 D_fake: 0.178 
saving the latest model (epoch 7, total_iters 305000)
(epoch: 7, iters: 17964, time: 0.074, data: 0.006) G_GAN: 0.827 G_L1: 7.685 D_real: 0.109 D_fake: 0.186 
(epoch: 7, iters: 18064, time: 0.073, data: 0.007) G_GAN: 0.620 G_L1: 8.812 D_real: 0.065 D_fake: 0.109 
(epoch: 7, iters: 18164, time: 0.073, data: 0.009) G_GAN: 1.018 G_L1: 7.286 D_real: 0.080 D_fake: 0.101 
(epoch: 7, iters: 18264, time: 0.074, data: 0.005) G_GAN: 0.704 G_L1: 8.296 D_real: 0.063 D_fake: 0.027 
(epoch: 7, iters: 18364, time: 0.072, data: 0.014) G_GAN: 0.822 G_L1: 7.621 D_real: 0.033 D_fake: 0.097 
(epoch: 7, iters: 18464, time: 0.072, data: 0.012) G_GAN: 0.871 G_L1: 9.183 D_real: 0.038 D_fake: 0.045 
(epoch: 7, iters: 18564, time: 0.074, data: 0.008) G_GAN: 1.174 G_L1: 8.272 D_real: 0.486 D_fake: 0.163 
(epoch: 7, iters: 18664, time: 0.074, data: 0.015) G_GAN: 0.734 G_L1: 6.921 D_real: 0.163 D_fake: 0.030 
(epoch: 7, iters: 18764, time: 0.072, data: 0.008) G_GAN: 0.460 G_L1: 8.163 D_real: 0.192 D_fake: 0.082 
(epoch: 7, iters: 18864, time: 0.149, data: 0.007) G_GAN: 0.747 G_L1: 8.938 D_real: 0.089 D_fake: 0.037 
(epoch: 7, iters: 18964, time: 0.073, data: 0.006) G_GAN: 0.805 G_L1: 7.668 D_real: 0.022 D_fake: 0.023 
(epoch: 7, iters: 19064, time: 0.073, data: 0.013) G_GAN: 0.682 G_L1: 9.081 D_real: 0.116 D_fake: 0.121 
(epoch: 7, iters: 19164, time: 0.073, data: 0.008) G_GAN: 1.369 G_L1: 8.216 D_real: 0.037 D_fake: 0.180 
(epoch: 7, iters: 19264, time: 0.073, data: 0.011) G_GAN: 0.753 G_L1: 7.931 D_real: 0.050 D_fake: 0.055 
(epoch: 7, iters: 19364, time: 0.073, data: 0.007) G_GAN: 0.498 G_L1: 7.275 D_real: 0.382 D_fake: 0.029 
(epoch: 7, iters: 19464, time: 0.074, data: 0.006) G_GAN: 1.182 G_L1: 10.456 D_real: 0.059 D_fake: 0.075 
(epoch: 7, iters: 19564, time: 0.074, data: 0.008) G_GAN: 1.108 G_L1: 8.125 D_real: 0.030 D_fake: 0.226 
(epoch: 7, iters: 19664, time: 0.073, data: 0.006) G_GAN: 0.897 G_L1: 10.006 D_real: 0.025 D_fake: 0.026 
(epoch: 7, iters: 19764, time: 0.073, data: 0.011) G_GAN: 1.101 G_L1: 9.433 D_real: 0.027 D_fake: 0.060 
(epoch: 7, iters: 19864, time: 0.073, data: 0.006) G_GAN: 0.743 G_L1: 7.787 D_real: 0.283 D_fake: 0.033 
(epoch: 7, iters: 19964, time: 0.072, data: 0.007) G_GAN: 0.380 G_L1: 7.357 D_real: 0.289 D_fake: 0.143 
(epoch: 7, iters: 20064, time: 0.073, data: 0.008) G_GAN: 0.599 G_L1: 8.271 D_real: 0.121 D_fake: 0.133 
(epoch: 7, iters: 20164, time: 0.072, data: 0.008) G_GAN: 0.714 G_L1: 7.877 D_real: 0.046 D_fake: 0.086 
(epoch: 7, iters: 20264, time: 0.073, data: 0.008) G_GAN: 0.782 G_L1: 7.687 D_real: 0.054 D_fake: 0.019 
(epoch: 7, iters: 20364, time: 0.072, data: 0.009) G_GAN: 0.597 G_L1: 7.918 D_real: 0.263 D_fake: 0.116 
(epoch: 7, iters: 20464, time: 0.072, data: 0.006) G_GAN: 1.119 G_L1: 7.562 D_real: 0.033 D_fake: 0.244 
(epoch: 7, iters: 20564, time: 0.072, data: 0.006) G_GAN: 0.612 G_L1: 8.950 D_real: 0.127 D_fake: 0.019 
(epoch: 7, iters: 20664, time: 0.073, data: 0.008) G_GAN: 0.677 G_L1: 8.954 D_real: 0.159 D_fake: 0.049 
(epoch: 7, iters: 20764, time: 0.073, data: 0.010) G_GAN: 0.307 G_L1: 7.274 D_real: 0.293 D_fake: 0.110 
(epoch: 7, iters: 20864, time: 0.142, data: 0.007) G_GAN: 0.950 G_L1: 8.368 D_real: 0.103 D_fake: 0.077 
(epoch: 7, iters: 20964, time: 0.072, data: 0.007) G_GAN: 0.576 G_L1: 8.012 D_real: 0.091 D_fake: 0.070 
(epoch: 7, iters: 21064, time: 0.071, data: 0.007) G_GAN: 0.962 G_L1: 8.109 D_real: 0.054 D_fake: 0.122 
(epoch: 7, iters: 21164, time: 0.073, data: 0.011) G_GAN: 2.168 G_L1: 9.773 D_real: 0.206 D_fake: 0.210 
(epoch: 7, iters: 21264, time: 0.073, data: 0.006) G_GAN: 0.430 G_L1: 7.775 D_real: 0.268 D_fake: 0.031 
(epoch: 7, iters: 21364, time: 0.073, data: 0.006) G_GAN: 0.635 G_L1: 8.763 D_real: 0.176 D_fake: 0.026 
(epoch: 7, iters: 21464, time: 0.073, data: 0.007) G_GAN: 1.311 G_L1: 7.246 D_real: 0.133 D_fake: 0.030 
(epoch: 7, iters: 21564, time: 0.073, data: 0.013) G_GAN: 0.428 G_L1: 9.540 D_real: 0.102 D_fake: 0.067 
(epoch: 7, iters: 21664, time: 0.074, data: 0.014) G_GAN: 0.330 G_L1: 8.679 D_real: 0.307 D_fake: 0.019 
(epoch: 7, iters: 21764, time: 0.075, data: 0.006) G_GAN: 0.852 G_L1: 7.845 D_real: 0.026 D_fake: 0.072 
(epoch: 7, iters: 21864, time: 0.071, data: 0.007) G_GAN: 0.420 G_L1: 7.914 D_real: 0.400 D_fake: 0.028 
(epoch: 7, iters: 21964, time: 0.071, data: 0.006) G_GAN: 0.699 G_L1: 7.287 D_real: 0.042 D_fake: 0.074 
(epoch: 7, iters: 22064, time: 0.070, data: 0.011) G_GAN: 0.695 G_L1: 7.904 D_real: 0.122 D_fake: 0.015 
(epoch: 7, iters: 22164, time: 0.070, data: 0.007) G_GAN: 0.276 G_L1: 9.205 D_real: 0.474 D_fake: 0.070 
(epoch: 7, iters: 22264, time: 0.071, data: 0.011) G_GAN: 0.695 G_L1: 8.416 D_real: 0.255 D_fake: 0.019 
(epoch: 7, iters: 22364, time: 0.074, data: 0.012) G_GAN: 0.795 G_L1: 8.150 D_real: 0.055 D_fake: 0.159 
(epoch: 7, iters: 22464, time: 0.071, data: 0.006) G_GAN: 1.219 G_L1: 8.604 D_real: 0.060 D_fake: 0.067 
(epoch: 7, iters: 22564, time: 0.072, data: 0.010) G_GAN: 0.678 G_L1: 7.970 D_real: 0.210 D_fake: 0.027 
(epoch: 7, iters: 22664, time: 0.071, data: 0.012) G_GAN: 0.869 G_L1: 7.430 D_real: 0.034 D_fake: 0.084 
(epoch: 7, iters: 22764, time: 0.070, data: 0.007) G_GAN: 0.810 G_L1: 7.427 D_real: 0.048 D_fake: 0.176 
(epoch: 7, iters: 22864, time: 0.152, data: 0.005) G_GAN: 0.684 G_L1: 8.277 D_real: 0.022 D_fake: 0.122 
saving the latest model (epoch 7, total_iters 310000)
(epoch: 7, iters: 22964, time: 0.073, data: 0.006) G_GAN: 0.761 G_L1: 7.795 D_real: 0.042 D_fake: 0.012 
(epoch: 7, iters: 23064, time: 0.073, data: 0.007) G_GAN: 0.542 G_L1: 8.600 D_real: 0.091 D_fake: 0.174 
(epoch: 7, iters: 23164, time: 0.073, data: 0.006) G_GAN: 0.958 G_L1: 9.203 D_real: 0.051 D_fake: 0.098 
(epoch: 7, iters: 23264, time: 0.071, data: 0.007) G_GAN: 0.894 G_L1: 7.900 D_real: 0.053 D_fake: 0.029 
(epoch: 7, iters: 23364, time: 0.073, data: 0.013) G_GAN: 0.620 G_L1: 8.105 D_real: 0.038 D_fake: 0.017 
(epoch: 7, iters: 23464, time: 0.073, data: 0.011) G_GAN: 1.139 G_L1: 8.682 D_real: 0.025 D_fake: 0.174 
(epoch: 7, iters: 23564, time: 0.072, data: 0.005) G_GAN: 0.950 G_L1: 8.517 D_real: 0.026 D_fake: 0.220 
(epoch: 7, iters: 23664, time: 0.074, data: 0.006) G_GAN: 0.174 G_L1: 7.507 D_real: 1.622 D_fake: 0.054 
(epoch: 7, iters: 23764, time: 0.074, data: 0.005) G_GAN: 0.745 G_L1: 7.542 D_real: 0.020 D_fake: 0.033 
(epoch: 7, iters: 23864, time: 0.072, data: 0.008) G_GAN: 0.603 G_L1: 8.847 D_real: 0.245 D_fake: 0.014 
(epoch: 7, iters: 23964, time: 0.070, data: 0.006) G_GAN: 1.110 G_L1: 7.973 D_real: 0.027 D_fake: 0.049 
(epoch: 7, iters: 24064, time: 0.073, data: 0.006) G_GAN: 0.937 G_L1: 9.398 D_real: 0.033 D_fake: 0.121 
(epoch: 7, iters: 24164, time: 0.069, data: 0.007) G_GAN: 0.907 G_L1: 8.490 D_real: 0.071 D_fake: 0.070 
(epoch: 7, iters: 24264, time: 0.073, data: 0.008) G_GAN: 0.754 G_L1: 8.130 D_real: 0.095 D_fake: 0.108 
(epoch: 7, iters: 24364, time: 0.072, data: 0.005) G_GAN: 1.066 G_L1: 9.114 D_real: 0.019 D_fake: 0.034 
(epoch: 7, iters: 24464, time: 0.073, data: 0.007) G_GAN: 0.855 G_L1: 9.001 D_real: 0.020 D_fake: 0.115 
(epoch: 7, iters: 24564, time: 0.075, data: 0.005) G_GAN: 0.803 G_L1: 7.116 D_real: 0.138 D_fake: 0.040 
(epoch: 7, iters: 24664, time: 0.071, data: 0.010) G_GAN: 0.781 G_L1: 9.687 D_real: 0.045 D_fake: 0.090 
(epoch: 7, iters: 24764, time: 0.073, data: 0.006) G_GAN: 0.931 G_L1: 9.435 D_real: 0.029 D_fake: 0.031 
(epoch: 7, iters: 24864, time: 0.142, data: 0.010) G_GAN: 0.757 G_L1: 8.853 D_real: 0.014 D_fake: 0.151 
(epoch: 7, iters: 24964, time: 0.073, data: 0.011) G_GAN: 0.811 G_L1: 8.324 D_real: 0.079 D_fake: 0.070 
(epoch: 7, iters: 25064, time: 0.073, data: 0.009) G_GAN: 1.260 G_L1: 8.431 D_real: 0.029 D_fake: 0.115 
(epoch: 7, iters: 25164, time: 0.073, data: 0.006) G_GAN: 1.195 G_L1: 7.500 D_real: 0.038 D_fake: 0.226 
(epoch: 7, iters: 25264, time: 0.073, data: 0.006) G_GAN: 1.187 G_L1: 7.881 D_real: 0.041 D_fake: 0.151 
(epoch: 7, iters: 25364, time: 0.073, data: 0.009) G_GAN: 1.177 G_L1: 7.236 D_real: 0.043 D_fake: 0.211 
(epoch: 7, iters: 25464, time: 0.073, data: 0.008) G_GAN: 0.877 G_L1: 9.256 D_real: 0.036 D_fake: 0.209 
(epoch: 7, iters: 25564, time: 0.073, data: 0.007) G_GAN: 0.841 G_L1: 8.131 D_real: 0.069 D_fake: 0.191 
(epoch: 7, iters: 25664, time: 0.073, data: 0.008) G_GAN: 0.688 G_L1: 8.331 D_real: 0.063 D_fake: 0.093 
(epoch: 7, iters: 25764, time: 0.072, data: 0.006) G_GAN: 0.849 G_L1: 9.852 D_real: 0.034 D_fake: 0.019 
(epoch: 7, iters: 25864, time: 0.072, data: 0.008) G_GAN: 0.917 G_L1: 8.274 D_real: 0.046 D_fake: 0.124 
(epoch: 7, iters: 25964, time: 0.073, data: 0.008) G_GAN: 1.138 G_L1: 9.061 D_real: 0.049 D_fake: 0.201 
(epoch: 7, iters: 26064, time: 0.074, data: 0.010) G_GAN: 0.769 G_L1: 8.265 D_real: 0.048 D_fake: 0.119 
(epoch: 7, iters: 26164, time: 0.072, data: 0.008) G_GAN: 0.892 G_L1: 7.648 D_real: 0.039 D_fake: 0.061 
(epoch: 7, iters: 26264, time: 0.073, data: 0.009) G_GAN: 0.984 G_L1: 8.576 D_real: 0.045 D_fake: 0.043 
(epoch: 7, iters: 26364, time: 0.073, data: 0.009) G_GAN: 0.613 G_L1: 8.397 D_real: 0.111 D_fake: 0.132 
(epoch: 7, iters: 26464, time: 0.074, data: 0.006) G_GAN: 0.702 G_L1: 8.944 D_real: 0.109 D_fake: 0.030 
(epoch: 7, iters: 26564, time: 0.072, data: 0.008) G_GAN: 0.735 G_L1: 8.797 D_real: 0.025 D_fake: 0.098 
(epoch: 7, iters: 26664, time: 0.074, data: 0.011) G_GAN: 1.479 G_L1: 7.444 D_real: 0.099 D_fake: 0.174 
(epoch: 7, iters: 26764, time: 0.073, data: 0.007) G_GAN: 0.773 G_L1: 9.222 D_real: 0.130 D_fake: 0.032 
(epoch: 7, iters: 26864, time: 0.146, data: 0.006) G_GAN: 0.815 G_L1: 6.777 D_real: 0.065 D_fake: 0.057 
(epoch: 7, iters: 26964, time: 0.073, data: 0.009) G_GAN: 0.496 G_L1: 7.817 D_real: 0.283 D_fake: 0.017 
(epoch: 7, iters: 27064, time: 0.072, data: 0.006) G_GAN: 0.806 G_L1: 9.923 D_real: 0.060 D_fake: 0.025 
(epoch: 7, iters: 27164, time: 0.072, data: 0.006) G_GAN: 2.603 G_L1: 7.566 D_real: 0.147 D_fake: 0.430 
(epoch: 7, iters: 27264, time: 0.073, data: 0.005) G_GAN: 0.985 G_L1: 7.531 D_real: 0.017 D_fake: 0.048 
(epoch: 7, iters: 27364, time: 0.074, data: 0.008) G_GAN: 0.708 G_L1: 7.300 D_real: 0.152 D_fake: 0.018 
(epoch: 7, iters: 27464, time: 0.072, data: 0.007) G_GAN: 0.933 G_L1: 8.811 D_real: 0.019 D_fake: 0.067 
(epoch: 7, iters: 27564, time: 0.072, data: 0.007) G_GAN: 1.109 G_L1: 8.226 D_real: 0.020 D_fake: 0.036 
(epoch: 7, iters: 27664, time: 0.072, data: 0.007) G_GAN: 0.843 G_L1: 7.558 D_real: 0.043 D_fake: 0.040 
(epoch: 7, iters: 27764, time: 0.073, data: 0.006) G_GAN: 0.917 G_L1: 7.221 D_real: 0.017 D_fake: 0.099 
(epoch: 7, iters: 27864, time: 0.073, data: 0.007) G_GAN: 0.746 G_L1: 7.560 D_real: 0.059 D_fake: 0.024 
saving the latest model (epoch 7, total_iters 315000)
(epoch: 7, iters: 27964, time: 0.072, data: 0.007) G_GAN: 0.945 G_L1: 8.079 D_real: 0.274 D_fake: 0.025 
(epoch: 7, iters: 28064, time: 0.073, data: 0.007) G_GAN: 0.495 G_L1: 8.838 D_real: 0.253 D_fake: 0.018 
(epoch: 7, iters: 28164, time: 0.072, data: 0.006) G_GAN: 0.587 G_L1: 8.019 D_real: 0.129 D_fake: 0.087 
(epoch: 7, iters: 28264, time: 0.073, data: 0.006) G_GAN: 0.731 G_L1: 8.501 D_real: 0.137 D_fake: 0.098 
(epoch: 7, iters: 28364, time: 0.072, data: 0.007) G_GAN: 0.989 G_L1: 9.062 D_real: 0.028 D_fake: 0.062 
(epoch: 7, iters: 28464, time: 0.073, data: 0.006) G_GAN: 0.718 G_L1: 9.459 D_real: 0.098 D_fake: 0.031 
(epoch: 7, iters: 28564, time: 0.074, data: 0.007) G_GAN: 1.565 G_L1: 7.591 D_real: 0.042 D_fake: 0.176 
(epoch: 7, iters: 28664, time: 0.072, data: 0.008) G_GAN: 1.510 G_L1: 8.175 D_real: 0.112 D_fake: 0.365 
(epoch: 7, iters: 28764, time: 0.071, data: 0.008) G_GAN: 1.293 G_L1: 8.051 D_real: 0.027 D_fake: 0.114 
(epoch: 7, iters: 28864, time: 0.148, data: 0.007) G_GAN: 1.156 G_L1: 7.185 D_real: 0.020 D_fake: 0.186 
(epoch: 7, iters: 28964, time: 0.071, data: 0.010) G_GAN: 1.073 G_L1: 8.357 D_real: 0.210 D_fake: 0.370 
(epoch: 7, iters: 29064, time: 0.072, data: 0.010) G_GAN: 0.653 G_L1: 7.218 D_real: 0.080 D_fake: 0.064 
(epoch: 7, iters: 29164, time: 0.073, data: 0.006) G_GAN: 0.835 G_L1: 8.164 D_real: 0.040 D_fake: 0.027 
(epoch: 7, iters: 29264, time: 0.073, data: 0.010) G_GAN: 0.748 G_L1: 7.750 D_real: 0.051 D_fake: 0.102 
(epoch: 7, iters: 29364, time: 0.073, data: 0.007) G_GAN: 0.566 G_L1: 7.601 D_real: 0.177 D_fake: 0.034 
(epoch: 7, iters: 29464, time: 0.074, data: 0.006) G_GAN: 1.056 G_L1: 7.613 D_real: 0.021 D_fake: 0.037 
(epoch: 7, iters: 29564, time: 0.074, data: 0.012) G_GAN: 1.073 G_L1: 8.128 D_real: 0.039 D_fake: 0.052 
(epoch: 7, iters: 29664, time: 0.073, data: 0.012) G_GAN: 1.419 G_L1: 9.765 D_real: 0.100 D_fake: 0.189 
(epoch: 7, iters: 29764, time: 0.074, data: 0.007) G_GAN: 0.676 G_L1: 8.137 D_real: 0.032 D_fake: 0.054 
(epoch: 7, iters: 29864, time: 0.071, data: 0.007) G_GAN: 0.566 G_L1: 8.601 D_real: 0.152 D_fake: 0.026 
(epoch: 7, iters: 29964, time: 0.072, data: 0.008) G_GAN: 0.860 G_L1: 8.737 D_real: 0.029 D_fake: 0.019 
(epoch: 7, iters: 30064, time: 0.071, data: 0.006) G_GAN: 0.255 G_L1: 7.157 D_real: 0.160 D_fake: 0.025 
(epoch: 7, iters: 30164, time: 0.072, data: 0.009) G_GAN: 0.806 G_L1: 6.838 D_real: 0.069 D_fake: 0.065 
(epoch: 7, iters: 30264, time: 0.073, data: 0.007) G_GAN: 0.915 G_L1: 8.893 D_real: 0.063 D_fake: 0.126 
(epoch: 7, iters: 30364, time: 0.072, data: 0.008) G_GAN: 0.633 G_L1: 7.684 D_real: 0.085 D_fake: 0.047 
(epoch: 7, iters: 30464, time: 0.073, data: 0.008) G_GAN: 1.030 G_L1: 8.763 D_real: 0.040 D_fake: 0.074 
(epoch: 7, iters: 30564, time: 0.073, data: 0.011) G_GAN: 0.859 G_L1: 7.516 D_real: 0.078 D_fake: 0.417 
(epoch: 7, iters: 30664, time: 0.073, data: 0.009) G_GAN: 0.722 G_L1: 7.441 D_real: 0.093 D_fake: 0.048 
(epoch: 7, iters: 30764, time: 0.074, data: 0.006) G_GAN: 1.190 G_L1: 7.448 D_real: 0.023 D_fake: 0.053 
(epoch: 7, iters: 30864, time: 0.145, data: 0.009) G_GAN: 0.548 G_L1: 8.615 D_real: 0.161 D_fake: 0.090 
(epoch: 7, iters: 30964, time: 0.072, data: 0.009) G_GAN: 0.997 G_L1: 9.929 D_real: 0.022 D_fake: 0.053 
(epoch: 7, iters: 31064, time: 0.072, data: 0.010) G_GAN: 0.942 G_L1: 9.914 D_real: 0.030 D_fake: 0.047 
(epoch: 7, iters: 31164, time: 0.073, data: 0.006) G_GAN: 0.806 G_L1: 7.654 D_real: 0.046 D_fake: 0.026 
(epoch: 7, iters: 31264, time: 0.072, data: 0.007) G_GAN: 0.685 G_L1: 7.213 D_real: 0.023 D_fake: 0.029 
(epoch: 7, iters: 31364, time: 0.070, data: 0.010) G_GAN: 0.704 G_L1: 7.660 D_real: 0.084 D_fake: 0.015 
(epoch: 7, iters: 31464, time: 0.072, data: 0.007) G_GAN: 1.014 G_L1: 7.760 D_real: 0.139 D_fake: 0.054 
(epoch: 7, iters: 31564, time: 0.073, data: 0.006) G_GAN: 0.854 G_L1: 8.129 D_real: 0.047 D_fake: 0.021 
(epoch: 7, iters: 31664, time: 0.073, data: 0.006) G_GAN: 0.588 G_L1: 7.011 D_real: 0.267 D_fake: 0.035 
(epoch: 7, iters: 31764, time: 0.071, data: 0.006) G_GAN: 0.634 G_L1: 7.508 D_real: 0.236 D_fake: 0.016 
(epoch: 7, iters: 31864, time: 0.074, data: 0.006) G_GAN: 0.712 G_L1: 7.524 D_real: 0.082 D_fake: 0.351 
(epoch: 7, iters: 31964, time: 0.073, data: 0.006) G_GAN: 0.835 G_L1: 8.055 D_real: 0.120 D_fake: 0.037 
(epoch: 7, iters: 32064, time: 0.074, data: 0.006) G_GAN: 1.190 G_L1: 8.406 D_real: 0.079 D_fake: 0.331 
(epoch: 7, iters: 32164, time: 0.073, data: 0.007) G_GAN: 1.365 G_L1: 9.194 D_real: 0.021 D_fake: 0.054 
(epoch: 7, iters: 32264, time: 0.073, data: 0.006) G_GAN: 0.679 G_L1: 7.935 D_real: 0.253 D_fake: 0.081 
(epoch: 7, iters: 32364, time: 0.072, data: 0.009) G_GAN: 0.610 G_L1: 8.092 D_real: 0.187 D_fake: 0.053 
(epoch: 7, iters: 32464, time: 0.073, data: 0.008) G_GAN: 0.477 G_L1: 7.566 D_real: 0.162 D_fake: 0.157 
(epoch: 7, iters: 32564, time: 0.072, data: 0.006) G_GAN: 1.174 G_L1: 9.473 D_real: 0.018 D_fake: 0.015 
(epoch: 7, iters: 32664, time: 0.074, data: 0.010) G_GAN: 0.911 G_L1: 7.605 D_real: 0.019 D_fake: 0.104 
(epoch: 7, iters: 32764, time: 0.072, data: 0.008) G_GAN: 0.538 G_L1: 7.919 D_real: 0.095 D_fake: 0.092 
(epoch: 7, iters: 32864, time: 0.153, data: 0.006) G_GAN: 0.627 G_L1: 7.698 D_real: 0.073 D_fake: 0.085 
saving the latest model (epoch 7, total_iters 320000)
(epoch: 7, iters: 32964, time: 0.071, data: 0.006) G_GAN: 0.911 G_L1: 8.306 D_real: 0.043 D_fake: 0.030 
(epoch: 7, iters: 33064, time: 0.073, data: 0.009) G_GAN: 0.811 G_L1: 8.735 D_real: 0.054 D_fake: 0.024 
(epoch: 7, iters: 33164, time: 0.073, data: 0.008) G_GAN: 0.758 G_L1: 8.521 D_real: 0.026 D_fake: 0.151 
(epoch: 7, iters: 33264, time: 0.074, data: 0.006) G_GAN: 1.078 G_L1: 9.292 D_real: 0.082 D_fake: 0.146 
(epoch: 7, iters: 33364, time: 0.073, data: 0.007) G_GAN: 0.807 G_L1: 8.890 D_real: 0.046 D_fake: 0.107 
(epoch: 7, iters: 33464, time: 0.072, data: 0.006) G_GAN: 1.015 G_L1: 8.067 D_real: 0.036 D_fake: 0.315 
(epoch: 7, iters: 33564, time: 0.073, data: 0.007) G_GAN: 0.746 G_L1: 8.864 D_real: 0.089 D_fake: 0.023 
(epoch: 7, iters: 33664, time: 0.072, data: 0.013) G_GAN: 0.282 G_L1: 8.033 D_real: 0.346 D_fake: 0.022 
(epoch: 7, iters: 33764, time: 0.073, data: 0.008) G_GAN: 0.839 G_L1: 8.325 D_real: 0.031 D_fake: 0.038 
(epoch: 7, iters: 33864, time: 0.072, data: 0.009) G_GAN: 1.070 G_L1: 9.639 D_real: 0.039 D_fake: 0.139 
(epoch: 7, iters: 33964, time: 0.073, data: 0.010) G_GAN: 0.878 G_L1: 9.050 D_real: 0.101 D_fake: 0.039 
(epoch: 7, iters: 34064, time: 0.073, data: 0.006) G_GAN: 1.080 G_L1: 9.221 D_real: 0.017 D_fake: 0.130 
(epoch: 7, iters: 34164, time: 0.073, data: 0.009) G_GAN: 1.206 G_L1: 8.593 D_real: 0.021 D_fake: 0.159 
(epoch: 7, iters: 34264, time: 0.074, data: 0.005) G_GAN: 11.639 G_L1: 7.733 D_real: 4.790 D_fake: 3.571 
(epoch: 7, iters: 34364, time: 0.073, data: 0.007) G_GAN: 0.449 G_L1: 7.394 D_real: 0.254 D_fake: 0.128 
(epoch: 7, iters: 34464, time: 0.072, data: 0.010) G_GAN: 0.268 G_L1: 7.168 D_real: 0.208 D_fake: 0.308 
(epoch: 7, iters: 34564, time: 0.071, data: 0.010) G_GAN: 0.361 G_L1: 7.425 D_real: 0.225 D_fake: 0.154 
(epoch: 7, iters: 34664, time: 0.073, data: 0.006) G_GAN: 0.407 G_L1: 6.876 D_real: 0.161 D_fake: 0.199 
(epoch: 7, iters: 34764, time: 0.072, data: 0.007) G_GAN: 0.405 G_L1: 6.254 D_real: 0.189 D_fake: 0.186 
(epoch: 7, iters: 34864, time: 0.149, data: 0.009) G_GAN: 0.550 G_L1: 7.355 D_real: 0.371 D_fake: 0.017 
(epoch: 7, iters: 34964, time: 0.072, data: 0.009) G_GAN: 0.520 G_L1: 7.958 D_real: 0.066 D_fake: 0.116 
(epoch: 7, iters: 35064, time: 0.072, data: 0.006) G_GAN: 0.645 G_L1: 8.250 D_real: 0.067 D_fake: 0.123 
(epoch: 7, iters: 35164, time: 0.073, data: 0.008) G_GAN: 0.523 G_L1: 7.293 D_real: 0.082 D_fake: 0.145 
(epoch: 7, iters: 35264, time: 0.073, data: 0.006) G_GAN: 0.857 G_L1: 6.256 D_real: 0.034 D_fake: 0.604 
(epoch: 7, iters: 35364, time: 0.072, data: 0.011) G_GAN: 0.463 G_L1: 7.486 D_real: 0.122 D_fake: 0.052 
(epoch: 7, iters: 35464, time: 0.073, data: 0.008) G_GAN: 0.388 G_L1: 6.929 D_real: 0.129 D_fake: 0.150 
(epoch: 7, iters: 35564, time: 0.072, data: 0.006) G_GAN: 0.431 G_L1: 7.791 D_real: 0.176 D_fake: 0.038 
(epoch: 7, iters: 35664, time: 0.074, data: 0.007) G_GAN: 0.594 G_L1: 7.950 D_real: 0.026 D_fake: 0.255 
(epoch: 7, iters: 35764, time: 0.073, data: 0.006) G_GAN: 0.523 G_L1: 7.380 D_real: 0.027 D_fake: 0.298 
(epoch: 7, iters: 35864, time: 0.073, data: 0.013) G_GAN: 0.574 G_L1: 7.388 D_real: 0.097 D_fake: 0.110 
(epoch: 7, iters: 35964, time: 0.071, data: 0.005) G_GAN: 0.347 G_L1: 7.132 D_real: 0.179 D_fake: 0.263 
(epoch: 7, iters: 36064, time: 0.072, data: 0.010) G_GAN: 0.913 G_L1: 8.216 D_real: 0.070 D_fake: 0.463 
(epoch: 7, iters: 36164, time: 0.071, data: 0.008) G_GAN: 0.688 G_L1: 7.832 D_real: 0.055 D_fake: 0.143 
(epoch: 7, iters: 36264, time: 0.072, data: 0.009) G_GAN: 0.328 G_L1: 7.905 D_real: 0.075 D_fake: 0.303 
(epoch: 7, iters: 36364, time: 0.073, data: 0.007) G_GAN: 0.442 G_L1: 6.865 D_real: 0.044 D_fake: 0.368 
(epoch: 7, iters: 36464, time: 0.071, data: 0.009) G_GAN: 0.543 G_L1: 7.926 D_real: 0.031 D_fake: 0.252 
(epoch: 7, iters: 36564, time: 0.073, data: 0.010) G_GAN: 0.688 G_L1: 7.402 D_real: 0.023 D_fake: 0.350 
(epoch: 7, iters: 36664, time: 0.073, data: 0.008) G_GAN: 0.315 G_L1: 7.322 D_real: 0.318 D_fake: 0.105 
(epoch: 7, iters: 36764, time: 0.074, data: 0.008) G_GAN: 0.521 G_L1: 7.175 D_real: 0.129 D_fake: 0.095 
(epoch: 7, iters: 36864, time: 0.141, data: 0.007) G_GAN: 0.542 G_L1: 8.432 D_real: 0.015 D_fake: 0.208 
(epoch: 7, iters: 36964, time: 0.073, data: 0.007) G_GAN: 0.446 G_L1: 7.635 D_real: 0.183 D_fake: 0.106 
(epoch: 7, iters: 37064, time: 0.073, data: 0.006) G_GAN: 0.794 G_L1: 8.113 D_real: 0.021 D_fake: 0.228 
(epoch: 7, iters: 37164, time: 0.073, data: 0.010) G_GAN: 0.532 G_L1: 9.049 D_real: 0.136 D_fake: 0.101 
(epoch: 7, iters: 37264, time: 0.073, data: 0.007) G_GAN: 0.600 G_L1: 6.415 D_real: 0.055 D_fake: 0.194 
(epoch: 7, iters: 37364, time: 0.072, data: 0.007) G_GAN: 0.588 G_L1: 7.373 D_real: 0.062 D_fake: 0.169 
(epoch: 7, iters: 37464, time: 0.074, data: 0.006) G_GAN: 0.736 G_L1: 8.979 D_real: 0.146 D_fake: 0.048 
(epoch: 7, iters: 37564, time: 0.072, data: 0.010) G_GAN: 0.503 G_L1: 8.209 D_real: 0.208 D_fake: 0.036 
(epoch: 7, iters: 37664, time: 0.071, data: 0.008) G_GAN: 0.926 G_L1: 8.141 D_real: 0.053 D_fake: 0.301 
(epoch: 7, iters: 37764, time: 0.071, data: 0.009) G_GAN: 0.714 G_L1: 8.829 D_real: 0.050 D_fake: 0.076 
(epoch: 7, iters: 37864, time: 0.071, data: 0.006) G_GAN: 0.615 G_L1: 6.696 D_real: 0.075 D_fake: 0.194 
saving the latest model (epoch 7, total_iters 325000)
(epoch: 7, iters: 37964, time: 0.072, data: 0.007) G_GAN: 0.596 G_L1: 8.862 D_real: 0.046 D_fake: 0.098 
(epoch: 7, iters: 38064, time: 0.074, data: 0.010) G_GAN: 1.106 G_L1: 8.060 D_real: 0.021 D_fake: 0.134 
(epoch: 7, iters: 38164, time: 0.074, data: 0.006) G_GAN: 0.704 G_L1: 8.750 D_real: 0.148 D_fake: 0.036 
(epoch: 7, iters: 38264, time: 0.074, data: 0.007) G_GAN: 0.601 G_L1: 8.409 D_real: 0.068 D_fake: 0.180 
(epoch: 7, iters: 38364, time: 0.071, data: 0.010) G_GAN: 1.012 G_L1: 7.831 D_real: 0.405 D_fake: 0.156 
(epoch: 7, iters: 38464, time: 0.073, data: 0.007) G_GAN: 0.710 G_L1: 7.131 D_real: 0.303 D_fake: 0.084 
(epoch: 7, iters: 38564, time: 0.073, data: 0.005) G_GAN: 0.950 G_L1: 8.021 D_real: 0.020 D_fake: 0.225 
(epoch: 7, iters: 38664, time: 0.072, data: 0.007) G_GAN: 0.607 G_L1: 7.479 D_real: 0.042 D_fake: 0.200 
(epoch: 7, iters: 38764, time: 0.072, data: 0.007) G_GAN: 0.462 G_L1: 8.213 D_real: 0.172 D_fake: 0.102 
(epoch: 7, iters: 38864, time: 0.146, data: 0.008) G_GAN: 0.814 G_L1: 9.331 D_real: 0.016 D_fake: 0.091 
(epoch: 7, iters: 38964, time: 0.073, data: 0.006) G_GAN: 0.841 G_L1: 9.039 D_real: 0.063 D_fake: 0.033 
(epoch: 7, iters: 39064, time: 0.073, data: 0.014) G_GAN: 0.553 G_L1: 8.111 D_real: 0.218 D_fake: 0.017 
(epoch: 7, iters: 39164, time: 0.073, data: 0.006) G_GAN: 1.068 G_L1: 9.563 D_real: 0.071 D_fake: 0.161 
(epoch: 7, iters: 39264, time: 0.073, data: 0.006) G_GAN: 1.035 G_L1: 9.748 D_real: 0.029 D_fake: 0.045 
(epoch: 7, iters: 39364, time: 0.071, data: 0.007) G_GAN: 1.002 G_L1: 8.636 D_real: 0.039 D_fake: 0.195 
(epoch: 7, iters: 39464, time: 0.072, data: 0.006) G_GAN: 1.024 G_L1: 8.535 D_real: 0.026 D_fake: 0.016 
(epoch: 7, iters: 39564, time: 0.073, data: 0.007) G_GAN: 0.556 G_L1: 8.124 D_real: 0.024 D_fake: 0.222 
(epoch: 7, iters: 39664, time: 0.072, data: 0.008) G_GAN: 0.542 G_L1: 8.389 D_real: 0.071 D_fake: 0.081 
(epoch: 7, iters: 39764, time: 0.073, data: 0.011) G_GAN: 0.575 G_L1: 6.662 D_real: 0.162 D_fake: 0.042 
(epoch: 7, iters: 39864, time: 0.072, data: 0.006) G_GAN: 0.775 G_L1: 8.611 D_real: 0.105 D_fake: 0.024 
(epoch: 7, iters: 39964, time: 0.073, data: 0.006) G_GAN: 0.592 G_L1: 9.695 D_real: 0.064 D_fake: 0.077 
(epoch: 7, iters: 40064, time: 0.072, data: 0.007) G_GAN: 0.879 G_L1: 7.493 D_real: 0.064 D_fake: 0.075 
(epoch: 7, iters: 40164, time: 0.072, data: 0.007) G_GAN: 0.690 G_L1: 8.335 D_real: 0.035 D_fake: 0.049 
(epoch: 7, iters: 40264, time: 0.071, data: 0.008) G_GAN: 0.642 G_L1: 7.866 D_real: 0.070 D_fake: 0.074 
(epoch: 7, iters: 40364, time: 0.071, data: 0.008) G_GAN: 0.586 G_L1: 7.393 D_real: 0.170 D_fake: 0.030 
(epoch: 7, iters: 40464, time: 0.071, data: 0.009) G_GAN: 0.660 G_L1: 9.020 D_real: 0.119 D_fake: 0.019 
(epoch: 7, iters: 40564, time: 0.071, data: 0.007) G_GAN: 0.622 G_L1: 7.660 D_real: 0.024 D_fake: 0.131 
(epoch: 7, iters: 40664, time: 0.071, data: 0.007) G_GAN: 1.196 G_L1: 8.290 D_real: 0.031 D_fake: 0.038 
(epoch: 7, iters: 40764, time: 0.073, data: 0.008) G_GAN: 0.886 G_L1: 9.255 D_real: 0.071 D_fake: 0.386 
(epoch: 7, iters: 40864, time: 0.146, data: 0.008) G_GAN: 1.450 G_L1: 9.219 D_real: 0.017 D_fake: 0.149 
(epoch: 7, iters: 40964, time: 0.072, data: 0.008) G_GAN: 0.624 G_L1: 7.040 D_real: 0.252 D_fake: 0.036 
(epoch: 7, iters: 41064, time: 0.074, data: 0.007) G_GAN: 0.791 G_L1: 7.534 D_real: 0.025 D_fake: 0.054 
(epoch: 7, iters: 41164, time: 0.072, data: 0.009) G_GAN: 0.628 G_L1: 7.949 D_real: 0.273 D_fake: 0.016 
(epoch: 7, iters: 41264, time: 0.073, data: 0.007) G_GAN: 0.936 G_L1: 7.877 D_real: 0.056 D_fake: 0.015 
(epoch: 7, iters: 41364, time: 0.073, data: 0.008) G_GAN: 1.147 G_L1: 8.577 D_real: 0.087 D_fake: 0.034 
(epoch: 7, iters: 41464, time: 0.073, data: 0.011) G_GAN: 0.983 G_L1: 7.539 D_real: 0.017 D_fake: 0.052 
(epoch: 7, iters: 41564, time: 0.072, data: 0.010) G_GAN: 0.745 G_L1: 8.440 D_real: 0.041 D_fake: 0.125 
(epoch: 7, iters: 41664, time: 0.073, data: 0.006) G_GAN: 1.164 G_L1: 8.604 D_real: 0.021 D_fake: 0.045 
(epoch: 7, iters: 41764, time: 0.072, data: 0.012) G_GAN: 0.705 G_L1: 8.308 D_real: 0.050 D_fake: 0.077 
(epoch: 7, iters: 41864, time: 0.071, data: 0.009) G_GAN: 0.395 G_L1: 7.487 D_real: 0.154 D_fake: 0.212 
(epoch: 7, iters: 41964, time: 0.072, data: 0.013) G_GAN: 0.812 G_L1: 9.199 D_real: 0.025 D_fake: 0.021 
(epoch: 7, iters: 42064, time: 0.073, data: 0.007) G_GAN: 0.847 G_L1: 8.919 D_real: 0.048 D_fake: 0.054 
(epoch: 7, iters: 42164, time: 0.071, data: 0.007) G_GAN: 0.535 G_L1: 9.539 D_real: 0.125 D_fake: 0.053 
(epoch: 7, iters: 42264, time: 0.073, data: 0.009) G_GAN: 0.550 G_L1: 8.856 D_real: 0.181 D_fake: 0.027 
(epoch: 7, iters: 42364, time: 0.072, data: 0.011) G_GAN: 0.648 G_L1: 8.914 D_real: 0.164 D_fake: 0.012 
(epoch: 7, iters: 42464, time: 0.073, data: 0.006) G_GAN: 0.766 G_L1: 8.146 D_real: 0.097 D_fake: 0.013 
(epoch: 7, iters: 42564, time: 0.074, data: 0.011) G_GAN: 0.635 G_L1: 8.901 D_real: 0.117 D_fake: 0.022 
(epoch: 7, iters: 42664, time: 0.073, data: 0.006) G_GAN: 0.486 G_L1: 7.932 D_real: 0.206 D_fake: 0.047 
(epoch: 7, iters: 42764, time: 0.072, data: 0.009) G_GAN: 0.732 G_L1: 7.426 D_real: 0.043 D_fake: 0.104 
(epoch: 7, iters: 42864, time: 0.141, data: 0.005) G_GAN: 0.788 G_L1: 8.967 D_real: 0.030 D_fake: 0.050 
saving the latest model (epoch 7, total_iters 330000)
(epoch: 7, iters: 42964, time: 0.073, data: 0.007) G_GAN: 1.398 G_L1: 8.749 D_real: 0.074 D_fake: 0.306 
(epoch: 7, iters: 43064, time: 0.072, data: 0.006) G_GAN: 0.763 G_L1: 8.100 D_real: 0.041 D_fake: 0.101 
(epoch: 7, iters: 43164, time: 0.071, data: 0.008) G_GAN: 0.404 G_L1: 8.719 D_real: 0.533 D_fake: 0.023 
(epoch: 7, iters: 43264, time: 0.067, data: 0.010) G_GAN: 0.960 G_L1: 10.156 D_real: 0.015 D_fake: 0.029 
(epoch: 7, iters: 43364, time: 0.072, data: 0.009) G_GAN: 0.968 G_L1: 9.025 D_real: 0.074 D_fake: 0.052 
(epoch: 7, iters: 43464, time: 0.073, data: 0.006) G_GAN: 1.017 G_L1: 8.916 D_real: 0.014 D_fake: 0.094 
(epoch: 7, iters: 43564, time: 0.073, data: 0.007) G_GAN: 1.461 G_L1: 7.565 D_real: 0.037 D_fake: 0.304 
(epoch: 7, iters: 43664, time: 0.073, data: 0.008) G_GAN: 0.902 G_L1: 7.123 D_real: 0.033 D_fake: 0.070 
(epoch: 7, iters: 43764, time: 0.073, data: 0.007) G_GAN: 0.784 G_L1: 9.380 D_real: 0.019 D_fake: 0.044 
(epoch: 7, iters: 43864, time: 0.074, data: 0.006) G_GAN: 0.835 G_L1: 9.082 D_real: 0.026 D_fake: 0.062 
(epoch: 7, iters: 43964, time: 0.073, data: 0.008) G_GAN: 0.937 G_L1: 7.166 D_real: 0.451 D_fake: 0.107 
(epoch: 7, iters: 44064, time: 0.075, data: 0.007) G_GAN: 0.727 G_L1: 8.939 D_real: 0.037 D_fake: 0.110 
(epoch: 7, iters: 44164, time: 0.073, data: 0.010) G_GAN: 0.783 G_L1: 6.829 D_real: 0.316 D_fake: 0.021 
(epoch: 7, iters: 44264, time: 0.073, data: 0.008) G_GAN: 0.513 G_L1: 7.061 D_real: 0.234 D_fake: 0.058 
(epoch: 7, iters: 44364, time: 0.072, data: 0.009) G_GAN: 1.077 G_L1: 7.649 D_real: 0.016 D_fake: 0.092 
(epoch: 7, iters: 44464, time: 0.073, data: 0.007) G_GAN: 1.016 G_L1: 8.635 D_real: 0.139 D_fake: 0.024 
(epoch: 7, iters: 44564, time: 0.072, data: 0.006) G_GAN: 0.923 G_L1: 7.090 D_real: 0.159 D_fake: 0.050 
(epoch: 7, iters: 44664, time: 0.073, data: 0.010) G_GAN: 0.886 G_L1: 7.947 D_real: 0.015 D_fake: 0.033 
(epoch: 7, iters: 44764, time: 0.072, data: 0.006) G_GAN: 0.753 G_L1: 8.288 D_real: 0.045 D_fake: 0.356 
(epoch: 7, iters: 44864, time: 0.149, data: 0.006) G_GAN: 0.899 G_L1: 8.296 D_real: 0.018 D_fake: 0.085 
(epoch: 7, iters: 44964, time: 0.069, data: 0.008) G_GAN: 0.806 G_L1: 8.500 D_real: 0.145 D_fake: 0.016 
(epoch: 7, iters: 45064, time: 0.071, data: 0.008) G_GAN: 1.031 G_L1: 7.752 D_real: 0.031 D_fake: 0.084 
(epoch: 7, iters: 45164, time: 0.071, data: 0.008) G_GAN: 0.729 G_L1: 7.796 D_real: 0.241 D_fake: 0.031 
(epoch: 7, iters: 45264, time: 0.070, data: 0.010) G_GAN: 0.956 G_L1: 8.018 D_real: 0.029 D_fake: 0.064 
(epoch: 7, iters: 45364, time: 0.071, data: 0.012) G_GAN: 0.828 G_L1: 8.632 D_real: 0.234 D_fake: 0.035 
(epoch: 7, iters: 45464, time: 0.072, data: 0.010) G_GAN: 1.183 G_L1: 7.251 D_real: 0.205 D_fake: 0.024 
(epoch: 7, iters: 45564, time: 0.074, data: 0.010) G_GAN: 0.703 G_L1: 7.924 D_real: 0.153 D_fake: 0.020 
(epoch: 7, iters: 45664, time: 0.072, data: 0.007) G_GAN: 0.941 G_L1: 9.351 D_real: 0.018 D_fake: 0.028 
(epoch: 7, iters: 45764, time: 0.071, data: 0.013) G_GAN: 0.917 G_L1: 8.028 D_real: 0.123 D_fake: 0.030 
(epoch: 7, iters: 45864, time: 0.069, data: 0.013) G_GAN: 0.928 G_L1: 8.221 D_real: 0.019 D_fake: 0.048 
(epoch: 7, iters: 45964, time: 0.073, data: 0.006) G_GAN: 0.722 G_L1: 7.959 D_real: 0.067 D_fake: 0.504 
(epoch: 7, iters: 46064, time: 0.071, data: 0.009) G_GAN: 0.699 G_L1: 7.850 D_real: 0.143 D_fake: 0.015 
(epoch: 7, iters: 46164, time: 0.072, data: 0.007) G_GAN: 0.859 G_L1: 8.162 D_real: 0.021 D_fake: 0.045 
(epoch: 7, iters: 46264, time: 0.072, data: 0.012) G_GAN: 0.653 G_L1: 7.719 D_real: 0.033 D_fake: 0.077 
(epoch: 7, iters: 46364, time: 0.071, data: 0.006) G_GAN: 0.779 G_L1: 10.138 D_real: 0.163 D_fake: 0.034 
(epoch: 7, iters: 46464, time: 0.073, data: 0.010) G_GAN: 0.730 G_L1: 8.640 D_real: 0.071 D_fake: 0.071 
(epoch: 7, iters: 46564, time: 0.072, data: 0.007) G_GAN: 0.837 G_L1: 8.155 D_real: 0.015 D_fake: 0.087 
(epoch: 7, iters: 46664, time: 0.072, data: 0.006) G_GAN: 0.543 G_L1: 8.943 D_real: 0.084 D_fake: 0.058 
(epoch: 7, iters: 46764, time: 0.073, data: 0.010) G_GAN: 0.706 G_L1: 7.270 D_real: 0.055 D_fake: 0.085 
(epoch: 7, iters: 46864, time: 0.145, data: 0.006) G_GAN: 0.882 G_L1: 8.321 D_real: 0.025 D_fake: 0.025 
(epoch: 7, iters: 46964, time: 0.074, data: 0.006) G_GAN: 0.718 G_L1: 7.656 D_real: 0.074 D_fake: 0.019 
(epoch: 7, iters: 47064, time: 0.074, data: 0.005) G_GAN: 0.783 G_L1: 8.022 D_real: 0.147 D_fake: 0.077 
(epoch: 7, iters: 47164, time: 0.072, data: 0.006) G_GAN: 0.452 G_L1: 7.960 D_real: 0.196 D_fake: 0.013 
(epoch: 7, iters: 47264, time: 0.072, data: 0.005) G_GAN: 1.504 G_L1: 7.997 D_real: 0.017 D_fake: 0.280 
(epoch: 7, iters: 47364, time: 0.069, data: 0.009) G_GAN: 1.190 G_L1: 9.026 D_real: 0.027 D_fake: 0.040 
(epoch: 7, iters: 47464, time: 0.073, data: 0.007) G_GAN: 0.959 G_L1: 7.374 D_real: 0.034 D_fake: 0.059 
(epoch: 7, iters: 47564, time: 0.073, data: 0.012) G_GAN: 0.868 G_L1: 7.550 D_real: 0.071 D_fake: 0.012 
(epoch: 7, iters: 47664, time: 0.073, data: 0.005) G_GAN: 0.841 G_L1: 8.728 D_real: 0.019 D_fake: 0.069 
(epoch: 7, iters: 47764, time: 0.071, data: 0.010) G_GAN: 0.460 G_L1: 8.623 D_real: 0.206 D_fake: 0.017 
End of epoch 7 / 20 	 Time Taken: 1969 sec
learning rate 0.0002000 -> 0.0002000
(epoch: 8, iters: 8, time: 0.070, data: 0.006) G_GAN: 0.929 G_L1: 8.276 D_real: 0.046 D_fake: 0.128 
saving the latest model (epoch 8, total_iters 335000)
(epoch: 8, iters: 108, time: 0.072, data: 0.004) G_GAN: 1.720 G_L1: 7.390 D_real: 0.853 D_fake: 0.595 
(epoch: 8, iters: 208, time: 0.148, data: 0.006) G_GAN: 0.680 G_L1: 7.975 D_real: 0.165 D_fake: 0.022 
(epoch: 8, iters: 308, time: 0.074, data: 0.009) G_GAN: 0.585 G_L1: 6.751 D_real: 0.071 D_fake: 0.043 
(epoch: 8, iters: 408, time: 0.073, data: 0.012) G_GAN: 0.577 G_L1: 7.717 D_real: 0.030 D_fake: 0.068 
(epoch: 8, iters: 508, time: 0.071, data: 0.008) G_GAN: 0.741 G_L1: 9.140 D_real: 0.200 D_fake: 0.023 
(epoch: 8, iters: 608, time: 0.071, data: 0.009) G_GAN: 0.681 G_L1: 9.404 D_real: 0.061 D_fake: 0.013 
(epoch: 8, iters: 708, time: 0.073, data: 0.007) G_GAN: 0.893 G_L1: 7.697 D_real: 0.052 D_fake: 0.014 
(epoch: 8, iters: 808, time: 0.072, data: 0.014) G_GAN: 0.907 G_L1: 8.864 D_real: 0.067 D_fake: 0.022 
(epoch: 8, iters: 908, time: 0.071, data: 0.007) G_GAN: 0.545 G_L1: 7.742 D_real: 0.095 D_fake: 0.088 
(epoch: 8, iters: 1008, time: 0.152, data: 0.011) G_GAN: 0.904 G_L1: 7.741 D_real: 0.185 D_fake: 0.017 
(epoch: 8, iters: 1108, time: 0.070, data: 0.007) G_GAN: 1.878 G_L1: 9.729 D_real: 0.100 D_fake: 0.046 
(epoch: 8, iters: 1208, time: 0.072, data: 0.013) G_GAN: 1.004 G_L1: 8.405 D_real: 0.016 D_fake: 0.017 
(epoch: 8, iters: 1308, time: 0.072, data: 0.007) G_GAN: 0.875 G_L1: 8.129 D_real: 0.059 D_fake: 0.112 
(epoch: 8, iters: 1408, time: 0.071, data: 0.007) G_GAN: 0.881 G_L1: 8.528 D_real: 0.024 D_fake: 0.038 
(epoch: 8, iters: 1508, time: 0.071, data: 0.006) G_GAN: 0.522 G_L1: 8.394 D_real: 0.047 D_fake: 0.071 
(epoch: 8, iters: 1608, time: 0.074, data: 0.007) G_GAN: 1.073 G_L1: 8.798 D_real: 0.015 D_fake: 0.023 
(epoch: 8, iters: 1708, time: 0.072, data: 0.007) G_GAN: 0.674 G_L1: 7.245 D_real: 0.087 D_fake: 0.019 
(epoch: 8, iters: 1808, time: 0.073, data: 0.006) G_GAN: 0.825 G_L1: 6.543 D_real: 0.060 D_fake: 0.020 
(epoch: 8, iters: 1908, time: 0.073, data: 0.011) G_GAN: 0.621 G_L1: 6.993 D_real: 0.122 D_fake: 0.045 
(epoch: 8, iters: 2008, time: 0.073, data: 0.010) G_GAN: 0.970 G_L1: 7.372 D_real: 0.019 D_fake: 0.014 
(epoch: 8, iters: 2108, time: 0.073, data: 0.007) G_GAN: 0.589 G_L1: 8.601 D_real: 0.053 D_fake: 0.081 
(epoch: 8, iters: 2208, time: 0.072, data: 0.010) G_GAN: 1.079 G_L1: 8.519 D_real: 0.361 D_fake: 0.028 
(epoch: 8, iters: 2308, time: 0.074, data: 0.009) G_GAN: 1.109 G_L1: 10.025 D_real: 0.015 D_fake: 0.040 
(epoch: 8, iters: 2408, time: 0.073, data: 0.008) G_GAN: 0.707 G_L1: 7.685 D_real: 0.135 D_fake: 0.012 
(epoch: 8, iters: 2508, time: 0.073, data: 0.007) G_GAN: 0.929 G_L1: 6.828 D_real: 0.022 D_fake: 0.014 
(epoch: 8, iters: 2608, time: 0.070, data: 0.007) G_GAN: 0.826 G_L1: 8.861 D_real: 0.029 D_fake: 0.017 
(epoch: 8, iters: 2708, time: 0.069, data: 0.010) G_GAN: 0.939 G_L1: 7.179 D_real: 0.018 D_fake: 0.155 
(epoch: 8, iters: 2808, time: 0.071, data: 0.007) G_GAN: 1.441 G_L1: 8.645 D_real: 0.235 D_fake: 0.393 
(epoch: 8, iters: 2908, time: 0.070, data: 0.007) G_GAN: 0.655 G_L1: 8.159 D_real: 0.127 D_fake: 0.034 
(epoch: 8, iters: 3008, time: 0.151, data: 0.006) G_GAN: 0.888 G_L1: 7.956 D_real: 0.056 D_fake: 0.056 
(epoch: 8, iters: 3108, time: 0.071, data: 0.007) G_GAN: 0.949 G_L1: 8.070 D_real: 0.018 D_fake: 0.203 
(epoch: 8, iters: 3208, time: 0.072, data: 0.010) G_GAN: 0.510 G_L1: 8.060 D_real: 0.103 D_fake: 0.030 
(epoch: 8, iters: 3308, time: 0.075, data: 0.006) G_GAN: 0.673 G_L1: 9.043 D_real: 0.081 D_fake: 0.014 
(epoch: 8, iters: 3408, time: 0.074, data: 0.009) G_GAN: 1.059 G_L1: 8.092 D_real: 0.444 D_fake: 0.019 
(epoch: 8, iters: 3508, time: 0.073, data: 0.011) G_GAN: 0.895 G_L1: 8.440 D_real: 0.047 D_fake: 0.014 
(epoch: 8, iters: 3608, time: 0.073, data: 0.005) G_GAN: 0.804 G_L1: 7.364 D_real: 0.015 D_fake: 0.123 
(epoch: 8, iters: 3708, time: 0.072, data: 0.006) G_GAN: 0.869 G_L1: 7.496 D_real: 0.053 D_fake: 0.016 
(epoch: 8, iters: 3808, time: 0.072, data: 0.007) G_GAN: 1.009 G_L1: 7.990 D_real: 0.041 D_fake: 0.138 
(epoch: 8, iters: 3908, time: 0.072, data: 0.010) G_GAN: 0.664 G_L1: 7.730 D_real: 0.087 D_fake: 0.032 
(epoch: 8, iters: 4008, time: 0.074, data: 0.007) G_GAN: 0.820 G_L1: 8.503 D_real: 0.149 D_fake: 0.093 
(epoch: 8, iters: 4108, time: 0.073, data: 0.007) G_GAN: 0.754 G_L1: 8.473 D_real: 0.074 D_fake: 0.045 
(epoch: 8, iters: 4208, time: 0.071, data: 0.006) G_GAN: 0.932 G_L1: 7.606 D_real: 0.026 D_fake: 0.120 
(epoch: 8, iters: 4308, time: 0.074, data: 0.006) G_GAN: 0.710 G_L1: 7.839 D_real: 0.020 D_fake: 0.119 
(epoch: 8, iters: 4408, time: 0.072, data: 0.010) G_GAN: 0.236 G_L1: 8.282 D_real: 0.212 D_fake: 0.039 
(epoch: 8, iters: 4508, time: 0.072, data: 0.007) G_GAN: 0.527 G_L1: 8.567 D_real: 0.129 D_fake: 0.017 
(epoch: 8, iters: 4608, time: 0.074, data: 0.007) G_GAN: 0.915 G_L1: 7.619 D_real: 0.015 D_fake: 0.071 
(epoch: 8, iters: 4708, time: 0.071, data: 0.007) G_GAN: 1.073 G_L1: 7.879 D_real: 0.030 D_fake: 0.091 
(epoch: 8, iters: 4808, time: 0.073, data: 0.007) G_GAN: 1.117 G_L1: 9.953 D_real: 0.015 D_fake: 0.017 
(epoch: 8, iters: 4908, time: 0.072, data: 0.006) G_GAN: 1.132 G_L1: 8.628 D_real: 0.042 D_fake: 0.147 
(epoch: 8, iters: 5008, time: 0.151, data: 0.008) G_GAN: 0.775 G_L1: 8.852 D_real: 0.047 D_fake: 0.023 
saving the latest model (epoch 8, total_iters 340000)
(epoch: 8, iters: 5108, time: 0.073, data: 0.007) G_GAN: 0.980 G_L1: 8.441 D_real: 0.024 D_fake: 0.136 
(epoch: 8, iters: 5208, time: 0.068, data: 0.008) G_GAN: 0.795 G_L1: 9.455 D_real: 0.031 D_fake: 0.019 
(epoch: 8, iters: 5308, time: 0.072, data: 0.007) G_GAN: 0.770 G_L1: 6.671 D_real: 0.033 D_fake: 0.038 
(epoch: 8, iters: 5408, time: 0.070, data: 0.007) G_GAN: 0.721 G_L1: 8.934 D_real: 0.046 D_fake: 0.012 
(epoch: 8, iters: 5508, time: 0.070, data: 0.007) G_GAN: 0.909 G_L1: 8.831 D_real: 0.026 D_fake: 0.015 
(epoch: 8, iters: 5608, time: 0.071, data: 0.007) G_GAN: 0.865 G_L1: 8.463 D_real: 0.091 D_fake: 0.019 
(epoch: 8, iters: 5708, time: 0.072, data: 0.007) G_GAN: 0.940 G_L1: 9.050 D_real: 0.017 D_fake: 0.048 
(epoch: 8, iters: 5808, time: 0.071, data: 0.008) G_GAN: 0.851 G_L1: 10.443 D_real: 0.023 D_fake: 0.020 
(epoch: 8, iters: 5908, time: 0.073, data: 0.006) G_GAN: 1.062 G_L1: 7.677 D_real: 0.062 D_fake: 0.065 
(epoch: 8, iters: 6008, time: 0.074, data: 0.006) G_GAN: 0.836 G_L1: 7.601 D_real: 0.048 D_fake: 0.023 
(epoch: 8, iters: 6108, time: 0.074, data: 0.006) G_GAN: 0.837 G_L1: 8.291 D_real: 0.023 D_fake: 0.016 
(epoch: 8, iters: 6208, time: 0.074, data: 0.006) G_GAN: 0.867 G_L1: 8.656 D_real: 0.022 D_fake: 0.028 
(epoch: 8, iters: 6308, time: 0.073, data: 0.007) G_GAN: 0.638 G_L1: 7.811 D_real: 0.021 D_fake: 0.143 
(epoch: 8, iters: 6408, time: 0.074, data: 0.005) G_GAN: 0.869 G_L1: 8.071 D_real: 0.093 D_fake: 0.013 
(epoch: 8, iters: 6508, time: 0.074, data: 0.005) G_GAN: 0.828 G_L1: 8.723 D_real: 0.018 D_fake: 0.050 
(epoch: 8, iters: 6608, time: 0.075, data: 0.006) G_GAN: 0.815 G_L1: 7.546 D_real: 0.353 D_fake: 0.015 
(epoch: 8, iters: 6708, time: 0.071, data: 0.010) G_GAN: 0.860 G_L1: 7.456 D_real: 0.183 D_fake: 0.031 
(epoch: 8, iters: 6808, time: 0.073, data: 0.010) G_GAN: 1.063 G_L1: 9.313 D_real: 0.024 D_fake: 0.036 
(epoch: 8, iters: 6908, time: 0.072, data: 0.009) G_GAN: 0.873 G_L1: 8.811 D_real: 0.072 D_fake: 0.101 
(epoch: 8, iters: 7008, time: 0.153, data: 0.006) G_GAN: 1.028 G_L1: 8.255 D_real: 0.013 D_fake: 0.036 
(epoch: 8, iters: 7108, time: 0.071, data: 0.006) G_GAN: 0.061 G_L1: 6.927 D_real: 0.141 D_fake: 0.050 
(epoch: 8, iters: 7208, time: 0.074, data: 0.007) G_GAN: 0.358 G_L1: 8.883 D_real: 0.199 D_fake: 0.215 
(epoch: 8, iters: 7308, time: 0.072, data: 0.007) G_GAN: 0.419 G_L1: 6.902 D_real: 0.198 D_fake: 0.181 
(epoch: 8, iters: 7408, time: 0.074, data: 0.009) G_GAN: 0.461 G_L1: 7.727 D_real: 0.126 D_fake: 0.175 
(epoch: 8, iters: 7508, time: 0.073, data: 0.006) G_GAN: 0.481 G_L1: 8.026 D_real: 0.095 D_fake: 0.163 
(epoch: 8, iters: 7608, time: 0.073, data: 0.008) G_GAN: 0.301 G_L1: 5.598 D_real: 0.189 D_fake: 0.239 
(epoch: 8, iters: 7708, time: 0.074, data: 0.006) G_GAN: 0.446 G_L1: 6.858 D_real: 0.107 D_fake: 0.127 
(epoch: 8, iters: 7808, time: 0.069, data: 0.009) G_GAN: 0.408 G_L1: 7.294 D_real: 0.079 D_fake: 0.224 
(epoch: 8, iters: 7908, time: 0.070, data: 0.007) G_GAN: 0.994 G_L1: 8.483 D_real: 0.054 D_fake: 0.048 
(epoch: 8, iters: 8008, time: 0.073, data: 0.014) G_GAN: 0.431 G_L1: 6.511 D_real: 0.195 D_fake: 0.082 
(epoch: 8, iters: 8108, time: 0.073, data: 0.009) G_GAN: 0.886 G_L1: 7.808 D_real: 0.030 D_fake: 0.454 
(epoch: 8, iters: 8208, time: 0.073, data: 0.006) G_GAN: 0.495 G_L1: 7.743 D_real: 0.060 D_fake: 0.143 
(epoch: 8, iters: 8308, time: 0.071, data: 0.006) G_GAN: 0.603 G_L1: 7.417 D_real: 0.049 D_fake: 0.155 
(epoch: 8, iters: 8408, time: 0.069, data: 0.007) G_GAN: 0.650 G_L1: 7.863 D_real: 0.161 D_fake: 0.041 
(epoch: 8, iters: 8508, time: 0.071, data: 0.011) G_GAN: 0.371 G_L1: 7.183 D_real: 0.302 D_fake: 0.073 
(epoch: 8, iters: 8608, time: 0.071, data: 0.006) G_GAN: 0.427 G_L1: 6.492 D_real: 0.385 D_fake: 0.037 
(epoch: 8, iters: 8708, time: 0.073, data: 0.008) G_GAN: 0.372 G_L1: 6.563 D_real: 0.056 D_fake: 0.296 
(epoch: 8, iters: 8808, time: 0.072, data: 0.007) G_GAN: 0.403 G_L1: 7.158 D_real: 0.046 D_fake: 0.129 
(epoch: 8, iters: 8908, time: 0.073, data: 0.006) G_GAN: 0.665 G_L1: 8.025 D_real: 0.023 D_fake: 0.212 
(epoch: 8, iters: 9008, time: 0.151, data: 0.006) G_GAN: 0.456 G_L1: 7.018 D_real: 0.079 D_fake: 0.174 
(epoch: 8, iters: 9108, time: 0.073, data: 0.010) G_GAN: 0.492 G_L1: 6.694 D_real: 0.194 D_fake: 0.063 
(epoch: 8, iters: 9208, time: 0.074, data: 0.008) G_GAN: 0.631 G_L1: 7.006 D_real: 0.070 D_fake: 0.086 
(epoch: 8, iters: 9308, time: 0.073, data: 0.006) G_GAN: 0.272 G_L1: 6.932 D_real: 0.250 D_fake: 0.131 
(epoch: 8, iters: 9408, time: 0.073, data: 0.007) G_GAN: 0.648 G_L1: 7.014 D_real: 0.051 D_fake: 0.177 
(epoch: 8, iters: 9508, time: 0.073, data: 0.006) G_GAN: 0.582 G_L1: 7.095 D_real: 0.052 D_fake: 0.111 
(epoch: 8, iters: 9608, time: 0.073, data: 0.008) G_GAN: 0.539 G_L1: 7.925 D_real: 0.075 D_fake: 0.083 
(epoch: 8, iters: 9708, time: 0.073, data: 0.012) G_GAN: 0.657 G_L1: 7.646 D_real: 0.134 D_fake: 0.056 
(epoch: 8, iters: 9808, time: 0.072, data: 0.009) G_GAN: 0.666 G_L1: 8.440 D_real: 0.360 D_fake: 0.024 
(epoch: 8, iters: 9908, time: 0.072, data: 0.007) G_GAN: 0.491 G_L1: 7.533 D_real: 0.145 D_fake: 0.081 
(epoch: 8, iters: 10008, time: 0.072, data: 0.010) G_GAN: 0.673 G_L1: 6.750 D_real: 0.085 D_fake: 0.070 
saving the latest model (epoch 8, total_iters 345000)
(epoch: 8, iters: 10108, time: 0.070, data: 0.011) G_GAN: 0.764 G_L1: 6.940 D_real: 0.043 D_fake: 0.064 
(epoch: 8, iters: 10208, time: 0.071, data: 0.006) G_GAN: 1.004 G_L1: 7.484 D_real: 0.494 D_fake: 0.018 
(epoch: 8, iters: 10308, time: 0.071, data: 0.007) G_GAN: 0.702 G_L1: 7.449 D_real: 0.113 D_fake: 0.014 
(epoch: 8, iters: 10408, time: 0.073, data: 0.011) G_GAN: 0.530 G_L1: 7.892 D_real: 0.098 D_fake: 0.095 
(epoch: 8, iters: 10508, time: 0.073, data: 0.009) G_GAN: 1.020 G_L1: 9.067 D_real: 0.065 D_fake: 0.197 
(epoch: 8, iters: 10608, time: 0.072, data: 0.008) G_GAN: 1.076 G_L1: 7.401 D_real: 0.021 D_fake: 0.044 
(epoch: 8, iters: 10708, time: 0.071, data: 0.009) G_GAN: 0.939 G_L1: 8.377 D_real: 0.193 D_fake: 0.025 
(epoch: 8, iters: 10808, time: 0.072, data: 0.009) G_GAN: 0.749 G_L1: 7.589 D_real: 0.027 D_fake: 0.093 
(epoch: 8, iters: 10908, time: 0.073, data: 0.007) G_GAN: 0.744 G_L1: 8.136 D_real: 0.020 D_fake: 0.111 
(epoch: 8, iters: 11008, time: 0.147, data: 0.008) G_GAN: 0.691 G_L1: 7.976 D_real: 0.021 D_fake: 0.207 
(epoch: 8, iters: 11108, time: 0.072, data: 0.011) G_GAN: 0.610 G_L1: 8.442 D_real: 0.084 D_fake: 0.183 
(epoch: 8, iters: 11208, time: 0.073, data: 0.007) G_GAN: 1.037 G_L1: 7.338 D_real: 0.430 D_fake: 0.024 
(epoch: 8, iters: 11308, time: 0.073, data: 0.008) G_GAN: 0.463 G_L1: 7.912 D_real: 0.122 D_fake: 0.062 
(epoch: 8, iters: 11408, time: 0.073, data: 0.006) G_GAN: 0.803 G_L1: 8.582 D_real: 0.121 D_fake: 0.061 
(epoch: 8, iters: 11508, time: 0.069, data: 0.008) G_GAN: 0.557 G_L1: 7.181 D_real: 0.032 D_fake: 0.173 
(epoch: 8, iters: 11608, time: 0.072, data: 0.010) G_GAN: 0.539 G_L1: 7.525 D_real: 0.237 D_fake: 0.073 
(epoch: 8, iters: 11708, time: 0.073, data: 0.007) G_GAN: 0.197 G_L1: 7.300 D_real: 0.433 D_fake: 0.385 
(epoch: 8, iters: 11808, time: 0.070, data: 0.013) G_GAN: 0.678 G_L1: 8.396 D_real: 0.079 D_fake: 0.038 
(epoch: 8, iters: 11908, time: 0.073, data: 0.008) G_GAN: 0.832 G_L1: 8.149 D_real: 0.055 D_fake: 0.051 
(epoch: 8, iters: 12008, time: 0.073, data: 0.007) G_GAN: 0.766 G_L1: 7.958 D_real: 0.191 D_fake: 0.068 
(epoch: 8, iters: 12108, time: 0.072, data: 0.010) G_GAN: 1.082 G_L1: 8.294 D_real: 0.220 D_fake: 0.121 
(epoch: 8, iters: 12208, time: 0.073, data: 0.007) G_GAN: 0.622 G_L1: 8.207 D_real: 0.123 D_fake: 0.130 
(epoch: 8, iters: 12308, time: 0.072, data: 0.010) G_GAN: 0.498 G_L1: 8.892 D_real: 0.064 D_fake: 0.035 
(epoch: 8, iters: 12408, time: 0.073, data: 0.008) G_GAN: 1.085 G_L1: 8.962 D_real: 0.027 D_fake: 0.249 
(epoch: 8, iters: 12508, time: 0.073, data: 0.007) G_GAN: 1.657 G_L1: 10.800 D_real: 0.110 D_fake: 0.056 
(epoch: 8, iters: 12608, time: 0.072, data: 0.006) G_GAN: 0.749 G_L1: 8.571 D_real: 0.038 D_fake: 0.065 
(epoch: 8, iters: 12708, time: 0.071, data: 0.006) G_GAN: 0.576 G_L1: 8.437 D_real: 0.034 D_fake: 0.196 
(epoch: 8, iters: 12808, time: 0.072, data: 0.006) G_GAN: 1.830 G_L1: 8.732 D_real: 0.070 D_fake: 0.050 
(epoch: 8, iters: 12908, time: 0.074, data: 0.006) G_GAN: 0.989 G_L1: 7.641 D_real: 0.017 D_fake: 0.146 
(epoch: 8, iters: 13008, time: 0.149, data: 0.008) G_GAN: 1.401 G_L1: 8.907 D_real: 0.060 D_fake: 0.221 
(epoch: 8, iters: 13108, time: 0.070, data: 0.009) G_GAN: 0.846 G_L1: 7.990 D_real: 0.022 D_fake: 0.165 
(epoch: 8, iters: 13208, time: 0.073, data: 0.007) G_GAN: 0.883 G_L1: 9.361 D_real: 0.023 D_fake: 0.170 
(epoch: 8, iters: 13308, time: 0.069, data: 0.007) G_GAN: 1.157 G_L1: 9.986 D_real: 0.026 D_fake: 0.020 
(epoch: 8, iters: 13408, time: 0.072, data: 0.010) G_GAN: 0.661 G_L1: 7.115 D_real: 0.096 D_fake: 0.039 
(epoch: 8, iters: 13508, time: 0.073, data: 0.010) G_GAN: 1.553 G_L1: 8.856 D_real: 0.013 D_fake: 0.077 
(epoch: 8, iters: 13608, time: 0.073, data: 0.020) G_GAN: 1.351 G_L1: 8.690 D_real: 0.014 D_fake: 0.179 
(epoch: 8, iters: 13708, time: 0.074, data: 0.006) G_GAN: 0.783 G_L1: 9.481 D_real: 0.085 D_fake: 0.026 
(epoch: 8, iters: 13808, time: 0.072, data: 0.007) G_GAN: 0.861 G_L1: 8.207 D_real: 0.023 D_fake: 0.061 
(epoch: 8, iters: 13908, time: 0.071, data: 0.007) G_GAN: 1.132 G_L1: 8.375 D_real: 0.019 D_fake: 0.066 
(epoch: 8, iters: 14008, time: 0.073, data: 0.007) G_GAN: 0.750 G_L1: 8.250 D_real: 0.013 D_fake: 0.013 
(epoch: 8, iters: 14108, time: 0.073, data: 0.006) G_GAN: 0.716 G_L1: 8.486 D_real: 0.071 D_fake: 0.114 
(epoch: 8, iters: 14208, time: 0.072, data: 0.007) G_GAN: 0.589 G_L1: 8.170 D_real: 0.088 D_fake: 0.054 
(epoch: 8, iters: 14308, time: 0.073, data: 0.007) G_GAN: 0.812 G_L1: 6.379 D_real: 0.044 D_fake: 0.040 
(epoch: 8, iters: 14408, time: 0.072, data: 0.011) G_GAN: 0.828 G_L1: 6.993 D_real: 0.060 D_fake: 0.045 
(epoch: 8, iters: 14508, time: 0.074, data: 0.006) G_GAN: 0.677 G_L1: 7.634 D_real: 0.059 D_fake: 0.065 
(epoch: 8, iters: 14608, time: 0.073, data: 0.008) G_GAN: 1.008 G_L1: 8.367 D_real: 0.172 D_fake: 0.088 
(epoch: 8, iters: 14708, time: 0.073, data: 0.007) G_GAN: 1.215 G_L1: 8.891 D_real: 0.016 D_fake: 0.043 
(epoch: 8, iters: 14808, time: 0.073, data: 0.006) G_GAN: 0.611 G_L1: 8.584 D_real: 0.106 D_fake: 0.015 
(epoch: 8, iters: 14908, time: 0.073, data: 0.005) G_GAN: 0.840 G_L1: 9.167 D_real: 0.054 D_fake: 0.012 
(epoch: 8, iters: 15008, time: 0.145, data: 0.010) G_GAN: 0.643 G_L1: 8.269 D_real: 0.128 D_fake: 0.011 
saving the latest model (epoch 8, total_iters 350000)
(epoch: 8, iters: 15108, time: 0.073, data: 0.005) G_GAN: 0.647 G_L1: 8.791 D_real: 0.078 D_fake: 0.026 
(epoch: 8, iters: 15208, time: 0.072, data: 0.006) G_GAN: 0.803 G_L1: 8.021 D_real: 0.024 D_fake: 0.060 
(epoch: 8, iters: 15308, time: 0.073, data: 0.008) G_GAN: 1.015 G_L1: 7.689 D_real: 0.091 D_fake: 0.084 
(epoch: 8, iters: 15408, time: 0.073, data: 0.007) G_GAN: 1.145 G_L1: 7.503 D_real: 0.052 D_fake: 0.130 
(epoch: 8, iters: 15508, time: 0.072, data: 0.008) G_GAN: 0.832 G_L1: 9.377 D_real: 0.043 D_fake: 0.021 
(epoch: 8, iters: 15608, time: 0.071, data: 0.013) G_GAN: 0.608 G_L1: 8.328 D_real: 0.112 D_fake: 0.051 
(epoch: 8, iters: 15708, time: 0.073, data: 0.007) G_GAN: 0.561 G_L1: 7.407 D_real: 0.118 D_fake: 0.014 
(epoch: 8, iters: 15808, time: 0.075, data: 0.006) G_GAN: 0.812 G_L1: 7.863 D_real: 0.090 D_fake: 0.018 
(epoch: 8, iters: 15908, time: 0.071, data: 0.007) G_GAN: 0.922 G_L1: 8.091 D_real: 0.126 D_fake: 0.045 
(epoch: 8, iters: 16008, time: 0.072, data: 0.008) G_GAN: 0.727 G_L1: 9.722 D_real: 0.070 D_fake: 0.011 
(epoch: 8, iters: 16108, time: 0.074, data: 0.007) G_GAN: 1.124 G_L1: 8.437 D_real: 0.469 D_fake: 0.105 
(epoch: 8, iters: 16208, time: 0.073, data: 0.008) G_GAN: 0.540 G_L1: 8.652 D_real: 0.155 D_fake: 0.034 
(epoch: 8, iters: 16308, time: 0.073, data: 0.009) G_GAN: 0.989 G_L1: 8.904 D_real: 0.028 D_fake: 0.030 
(epoch: 8, iters: 16408, time: 0.073, data: 0.007) G_GAN: 0.804 G_L1: 7.580 D_real: 0.062 D_fake: 0.013 
(epoch: 8, iters: 16508, time: 0.072, data: 0.006) G_GAN: 0.765 G_L1: 8.758 D_real: 0.030 D_fake: 0.054 
(epoch: 8, iters: 16608, time: 0.072, data: 0.006) G_GAN: 0.969 G_L1: 9.903 D_real: 0.015 D_fake: 0.012 
(epoch: 8, iters: 16708, time: 0.074, data: 0.010) G_GAN: 0.968 G_L1: 8.236 D_real: 0.013 D_fake: 0.090 
(epoch: 8, iters: 16808, time: 0.073, data: 0.006) G_GAN: 0.649 G_L1: 8.420 D_real: 0.127 D_fake: 0.034 
(epoch: 8, iters: 16908, time: 0.073, data: 0.006) G_GAN: 0.723 G_L1: 8.087 D_real: 0.344 D_fake: 0.022 
(epoch: 8, iters: 17008, time: 0.150, data: 0.006) G_GAN: 0.863 G_L1: 6.811 D_real: 0.089 D_fake: 0.111 
(epoch: 8, iters: 17108, time: 0.072, data: 0.007) G_GAN: 1.063 G_L1: 9.276 D_real: 0.017 D_fake: 0.017 
(epoch: 8, iters: 17208, time: 0.071, data: 0.012) G_GAN: 0.619 G_L1: 8.485 D_real: 0.044 D_fake: 0.187 
(epoch: 8, iters: 17308, time: 0.071, data: 0.010) G_GAN: 1.009 G_L1: 8.794 D_real: 0.017 D_fake: 0.126 
(epoch: 8, iters: 17408, time: 0.071, data: 0.008) G_GAN: 1.216 G_L1: 8.641 D_real: 0.020 D_fake: 0.205 
(epoch: 8, iters: 17508, time: 0.071, data: 0.008) G_GAN: 0.909 G_L1: 8.107 D_real: 0.030 D_fake: 0.015 
(epoch: 8, iters: 17608, time: 0.073, data: 0.007) G_GAN: 0.691 G_L1: 8.666 D_real: 0.152 D_fake: 0.046 
(epoch: 8, iters: 17708, time: 0.071, data: 0.006) G_GAN: 0.547 G_L1: 8.411 D_real: 0.170 D_fake: 0.055 
(epoch: 8, iters: 17808, time: 0.071, data: 0.007) G_GAN: 0.937 G_L1: 7.733 D_real: 0.175 D_fake: 0.016 
(epoch: 8, iters: 17908, time: 0.072, data: 0.007) G_GAN: 0.964 G_L1: 8.021 D_real: 0.165 D_fake: 0.062 
(epoch: 8, iters: 18008, time: 0.072, data: 0.010) G_GAN: 0.893 G_L1: 7.875 D_real: 0.017 D_fake: 0.135 
(epoch: 8, iters: 18108, time: 0.073, data: 0.011) G_GAN: 0.947 G_L1: 7.082 D_real: 0.036 D_fake: 0.048 
(epoch: 8, iters: 18208, time: 0.073, data: 0.011) G_GAN: 1.012 G_L1: 7.759 D_real: 0.032 D_fake: 0.311 
(epoch: 8, iters: 18308, time: 0.073, data: 0.007) G_GAN: 0.784 G_L1: 10.548 D_real: 0.037 D_fake: 0.010 
(epoch: 8, iters: 18408, time: 0.072, data: 0.011) G_GAN: 1.177 G_L1: 7.584 D_real: 0.028 D_fake: 0.210 
(epoch: 8, iters: 18508, time: 0.072, data: 0.006) G_GAN: 1.094 G_L1: 8.556 D_real: 0.075 D_fake: 0.021 
(epoch: 8, iters: 18608, time: 0.073, data: 0.007) G_GAN: 0.808 G_L1: 8.288 D_real: 0.016 D_fake: 0.347 
(epoch: 8, iters: 18708, time: 0.071, data: 0.007) G_GAN: 0.964 G_L1: 8.896 D_real: 0.040 D_fake: 0.016 
(epoch: 8, iters: 18808, time: 0.071, data: 0.007) G_GAN: 0.602 G_L1: 7.655 D_real: 0.023 D_fake: 0.179 
(epoch: 8, iters: 18908, time: 0.072, data: 0.007) G_GAN: 0.952 G_L1: 8.613 D_real: 0.030 D_fake: 0.124 
(epoch: 8, iters: 19008, time: 0.150, data: 0.007) G_GAN: 1.247 G_L1: 7.861 D_real: 0.016 D_fake: 0.037 
(epoch: 8, iters: 19108, time: 0.072, data: 0.007) G_GAN: 0.606 G_L1: 6.649 D_real: 0.168 D_fake: 0.015 
(epoch: 8, iters: 19208, time: 0.072, data: 0.010) G_GAN: 1.245 G_L1: 7.346 D_real: 0.035 D_fake: 0.207 
(epoch: 8, iters: 19308, time: 0.073, data: 0.009) G_GAN: 1.108 G_L1: 8.529 D_real: 0.057 D_fake: 0.033 
(epoch: 8, iters: 19408, time: 0.073, data: 0.009) G_GAN: 0.821 G_L1: 8.776 D_real: 0.054 D_fake: 0.033 
(epoch: 8, iters: 19508, time: 0.073, data: 0.007) G_GAN: 0.956 G_L1: 8.536 D_real: 0.013 D_fake: 0.012 
(epoch: 8, iters: 19608, time: 0.073, data: 0.006) G_GAN: 0.868 G_L1: 8.755 D_real: 0.019 D_fake: 0.022 
(epoch: 8, iters: 19708, time: 0.072, data: 0.009) G_GAN: 0.344 G_L1: 7.482 D_real: 0.169 D_fake: 0.049 
(epoch: 8, iters: 19808, time: 0.073, data: 0.011) G_GAN: 0.931 G_L1: 7.123 D_real: 0.063 D_fake: 0.013 
(epoch: 8, iters: 19908, time: 0.070, data: 0.006) G_GAN: 1.002 G_L1: 9.213 D_real: 0.018 D_fake: 0.084 
(epoch: 8, iters: 20008, time: 0.073, data: 0.006) G_GAN: 0.766 G_L1: 8.830 D_real: 0.046 D_fake: 0.078 
saving the latest model (epoch 8, total_iters 355000)
(epoch: 8, iters: 20108, time: 0.074, data: 0.009) G_GAN: 0.787 G_L1: 7.929 D_real: 0.138 D_fake: 0.031 
(epoch: 8, iters: 20208, time: 0.068, data: 0.006) G_GAN: 1.321 G_L1: 8.227 D_real: 0.059 D_fake: 0.089 
(epoch: 8, iters: 20308, time: 0.070, data: 0.006) G_GAN: 0.821 G_L1: 7.730 D_real: 0.067 D_fake: 0.022 
(epoch: 8, iters: 20408, time: 0.073, data: 0.007) G_GAN: 1.114 G_L1: 9.576 D_real: 0.040 D_fake: 0.163 
(epoch: 8, iters: 20508, time: 0.071, data: 0.011) G_GAN: 0.697 G_L1: 8.189 D_real: 0.066 D_fake: 0.033 
(epoch: 8, iters: 20608, time: 0.070, data: 0.009) G_GAN: 1.611 G_L1: 8.089 D_real: 0.072 D_fake: 0.074 
(epoch: 8, iters: 20708, time: 0.072, data: 0.006) G_GAN: 0.831 G_L1: 7.725 D_real: 0.034 D_fake: 0.030 
(epoch: 8, iters: 20808, time: 0.073, data: 0.008) G_GAN: 0.994 G_L1: 8.542 D_real: 0.022 D_fake: 0.020 
(epoch: 8, iters: 20908, time: 0.074, data: 0.006) G_GAN: 0.863 G_L1: 9.468 D_real: 0.029 D_fake: 0.104 
(epoch: 8, iters: 21008, time: 0.146, data: 0.006) G_GAN: 0.773 G_L1: 8.149 D_real: 0.331 D_fake: 0.059 
(epoch: 8, iters: 21108, time: 0.072, data: 0.005) G_GAN: 0.792 G_L1: 7.143 D_real: 0.029 D_fake: 0.139 
(epoch: 8, iters: 21208, time: 0.073, data: 0.006) G_GAN: 0.673 G_L1: 7.770 D_real: 0.164 D_fake: 0.031 
(epoch: 8, iters: 21308, time: 0.072, data: 0.010) G_GAN: 0.823 G_L1: 8.575 D_real: 0.026 D_fake: 0.013 
(epoch: 8, iters: 21408, time: 0.072, data: 0.006) G_GAN: 0.949 G_L1: 7.447 D_real: 0.017 D_fake: 0.221 
(epoch: 8, iters: 21508, time: 0.071, data: 0.006) G_GAN: 1.091 G_L1: 9.006 D_real: 0.061 D_fake: 0.105 
(epoch: 8, iters: 21608, time: 0.070, data: 0.014) G_GAN: 0.673 G_L1: 7.683 D_real: 0.061 D_fake: 0.021 
(epoch: 8, iters: 21708, time: 0.073, data: 0.013) G_GAN: 0.725 G_L1: 8.137 D_real: 0.042 D_fake: 0.017 
(epoch: 8, iters: 21808, time: 0.072, data: 0.013) G_GAN: 1.000 G_L1: 8.452 D_real: 0.017 D_fake: 0.038 
(epoch: 8, iters: 21908, time: 0.073, data: 0.005) G_GAN: 1.078 G_L1: 7.521 D_real: 0.034 D_fake: 0.114 
(epoch: 8, iters: 22008, time: 0.073, data: 0.007) G_GAN: 0.766 G_L1: 8.604 D_real: 0.015 D_fake: 0.066 
(epoch: 8, iters: 22108, time: 0.072, data: 0.009) G_GAN: 0.584 G_L1: 6.873 D_real: 0.163 D_fake: 0.020 
(epoch: 8, iters: 22208, time: 0.074, data: 0.010) G_GAN: 0.787 G_L1: 8.091 D_real: 0.051 D_fake: 0.045 
(epoch: 8, iters: 22308, time: 0.073, data: 0.005) G_GAN: 1.154 G_L1: 9.054 D_real: 0.054 D_fake: 0.139 
(epoch: 8, iters: 22408, time: 0.073, data: 0.008) G_GAN: 0.740 G_L1: 8.132 D_real: 0.259 D_fake: 0.061 
(epoch: 8, iters: 22508, time: 0.072, data: 0.006) G_GAN: 0.811 G_L1: 7.075 D_real: 0.078 D_fake: 0.014 
(epoch: 8, iters: 22608, time: 0.071, data: 0.006) G_GAN: 1.100 G_L1: 9.077 D_real: 0.043 D_fake: 0.057 
(epoch: 8, iters: 22708, time: 0.072, data: 0.007) G_GAN: 0.622 G_L1: 7.958 D_real: 0.054 D_fake: 0.059 
(epoch: 8, iters: 22808, time: 0.069, data: 0.007) G_GAN: 0.688 G_L1: 8.229 D_real: 0.122 D_fake: 0.038 
(epoch: 8, iters: 22908, time: 0.071, data: 0.007) G_GAN: 0.655 G_L1: 8.161 D_real: 0.033 D_fake: 0.017 
(epoch: 8, iters: 23008, time: 0.150, data: 0.006) G_GAN: 0.899 G_L1: 9.680 D_real: 0.021 D_fake: 0.017 
(epoch: 8, iters: 23108, time: 0.073, data: 0.012) G_GAN: 0.801 G_L1: 9.493 D_real: 0.023 D_fake: 0.039 
(epoch: 8, iters: 23208, time: 0.073, data: 0.006) G_GAN: 0.504 G_L1: 7.760 D_real: 0.252 D_fake: 0.012 
(epoch: 8, iters: 23308, time: 0.072, data: 0.009) G_GAN: 0.911 G_L1: 9.775 D_real: 0.023 D_fake: 0.026 
(epoch: 8, iters: 23408, time: 0.073, data: 0.007) G_GAN: 0.944 G_L1: 7.712 D_real: 0.030 D_fake: 0.111 
(epoch: 8, iters: 23508, time: 0.072, data: 0.009) G_GAN: 0.845 G_L1: 7.707 D_real: 0.269 D_fake: 0.013 
(epoch: 8, iters: 23608, time: 0.073, data: 0.008) G_GAN: 0.742 G_L1: 9.499 D_real: 0.070 D_fake: 0.018 
(epoch: 8, iters: 23708, time: 0.073, data: 0.006) G_GAN: 1.098 G_L1: 8.403 D_real: 0.043 D_fake: 0.105 
(epoch: 8, iters: 23808, time: 0.072, data: 0.013) G_GAN: 0.638 G_L1: 7.533 D_real: 0.090 D_fake: 0.009 
(epoch: 8, iters: 23908, time: 0.073, data: 0.007) G_GAN: 1.696 G_L1: 9.277 D_real: 0.049 D_fake: 0.144 
(epoch: 8, iters: 24008, time: 0.072, data: 0.009) G_GAN: 0.511 G_L1: 8.735 D_real: 0.212 D_fake: 0.032 
(epoch: 8, iters: 24108, time: 0.070, data: 0.009) G_GAN: 1.011 G_L1: 8.634 D_real: 0.015 D_fake: 0.056 
(epoch: 8, iters: 24208, time: 0.072, data: 0.006) G_GAN: 0.906 G_L1: 8.030 D_real: 0.109 D_fake: 0.030 
(epoch: 8, iters: 24308, time: 0.072, data: 0.007) G_GAN: 0.771 G_L1: 8.859 D_real: 0.033 D_fake: 0.036 
(epoch: 8, iters: 24408, time: 0.073, data: 0.006) G_GAN: 1.026 G_L1: 9.061 D_real: 0.023 D_fake: 0.023 
(epoch: 8, iters: 24508, time: 0.073, data: 0.008) G_GAN: 0.917 G_L1: 8.699 D_real: 0.032 D_fake: 0.165 
(epoch: 8, iters: 24608, time: 0.071, data: 0.012) G_GAN: 0.938 G_L1: 8.393 D_real: 0.015 D_fake: 0.019 
(epoch: 8, iters: 24708, time: 0.071, data: 0.007) G_GAN: 1.142 G_L1: 10.073 D_real: 0.027 D_fake: 0.017 
(epoch: 8, iters: 24808, time: 0.073, data: 0.013) G_GAN: 0.588 G_L1: 8.757 D_real: 0.050 D_fake: 0.040 
(epoch: 8, iters: 24908, time: 0.074, data: 0.011) G_GAN: 1.219 G_L1: 8.997 D_real: 0.023 D_fake: 0.110 
(epoch: 8, iters: 25008, time: 0.148, data: 0.005) G_GAN: 0.543 G_L1: 7.897 D_real: 0.077 D_fake: 0.025 
saving the latest model (epoch 8, total_iters 360000)
(epoch: 8, iters: 25108, time: 0.074, data: 0.008) G_GAN: 1.168 G_L1: 7.844 D_real: 0.028 D_fake: 0.027 
(epoch: 8, iters: 25208, time: 0.073, data: 0.006) G_GAN: 0.767 G_L1: 7.650 D_real: 0.051 D_fake: 0.101 
(epoch: 8, iters: 25308, time: 0.073, data: 0.006) G_GAN: 0.691 G_L1: 9.434 D_real: 0.077 D_fake: 0.012 
(epoch: 8, iters: 25408, time: 0.073, data: 0.008) G_GAN: 1.036 G_L1: 8.120 D_real: 0.058 D_fake: 0.132 
(epoch: 8, iters: 25508, time: 0.072, data: 0.006) G_GAN: 1.144 G_L1: 8.325 D_real: 0.023 D_fake: 0.156 
(epoch: 8, iters: 25608, time: 0.072, data: 0.010) G_GAN: 0.693 G_L1: 7.704 D_real: 0.096 D_fake: 0.018 
(epoch: 8, iters: 25708, time: 0.072, data: 0.006) G_GAN: 0.961 G_L1: 8.447 D_real: 0.016 D_fake: 0.024 
(epoch: 8, iters: 25808, time: 0.071, data: 0.006) G_GAN: 1.126 G_L1: 7.300 D_real: 0.062 D_fake: 0.132 
(epoch: 8, iters: 25908, time: 0.071, data: 0.008) G_GAN: 1.241 G_L1: 7.916 D_real: 0.017 D_fake: 0.108 
(epoch: 8, iters: 26008, time: 0.071, data: 0.006) G_GAN: 0.828 G_L1: 7.432 D_real: 0.033 D_fake: 0.098 
(epoch: 8, iters: 26108, time: 0.071, data: 0.009) G_GAN: 0.828 G_L1: 8.591 D_real: 0.269 D_fake: 0.022 
(epoch: 8, iters: 26208, time: 0.071, data: 0.007) G_GAN: 0.548 G_L1: 7.752 D_real: 0.068 D_fake: 0.055 
(epoch: 8, iters: 26308, time: 0.071, data: 0.008) G_GAN: 0.776 G_L1: 7.580 D_real: 0.047 D_fake: 0.085 
(epoch: 8, iters: 26408, time: 0.071, data: 0.010) G_GAN: 0.722 G_L1: 8.114 D_real: 0.031 D_fake: 0.041 
(epoch: 8, iters: 26508, time: 0.072, data: 0.007) G_GAN: 0.334 G_L1: 7.240 D_real: 0.239 D_fake: 0.054 
(epoch: 8, iters: 26608, time: 0.072, data: 0.006) G_GAN: 0.815 G_L1: 8.260 D_real: 0.031 D_fake: 0.221 
(epoch: 8, iters: 26708, time: 0.073, data: 0.007) G_GAN: 0.811 G_L1: 7.836 D_real: 0.040 D_fake: 0.023 
(epoch: 8, iters: 26808, time: 0.070, data: 0.007) G_GAN: 1.330 G_L1: 9.766 D_real: 0.090 D_fake: 0.092 
(epoch: 8, iters: 26908, time: 0.074, data: 0.006) G_GAN: 0.597 G_L1: 7.102 D_real: 0.066 D_fake: 0.018 
(epoch: 8, iters: 27008, time: 0.147, data: 0.005) G_GAN: 0.949 G_L1: 8.114 D_real: 0.030 D_fake: 0.051 
(epoch: 8, iters: 27108, time: 0.073, data: 0.007) G_GAN: 1.075 G_L1: 8.809 D_real: 0.016 D_fake: 0.028 
(epoch: 8, iters: 27208, time: 0.073, data: 0.007) G_GAN: 1.187 G_L1: 9.008 D_real: 0.022 D_fake: 0.038 
(epoch: 8, iters: 27308, time: 0.073, data: 0.007) G_GAN: 0.811 G_L1: 7.375 D_real: 0.041 D_fake: 0.018 
(epoch: 8, iters: 27408, time: 0.071, data: 0.006) G_GAN: 1.283 G_L1: 8.835 D_real: 0.053 D_fake: 0.144 
(epoch: 8, iters: 27508, time: 0.073, data: 0.010) G_GAN: 0.934 G_L1: 8.115 D_real: 0.353 D_fake: 0.015 
(epoch: 8, iters: 27608, time: 0.072, data: 0.008) G_GAN: 0.751 G_L1: 10.289 D_real: 0.125 D_fake: 0.016 
(epoch: 8, iters: 27708, time: 0.073, data: 0.005) G_GAN: 0.807 G_L1: 8.110 D_real: 0.053 D_fake: 0.051 
(epoch: 8, iters: 27808, time: 0.072, data: 0.015) G_GAN: 0.619 G_L1: 7.125 D_real: 0.185 D_fake: 0.018 
(epoch: 8, iters: 27908, time: 0.073, data: 0.011) G_GAN: 0.671 G_L1: 7.313 D_real: 0.024 D_fake: 0.063 
(epoch: 8, iters: 28008, time: 0.073, data: 0.009) G_GAN: 0.640 G_L1: 7.670 D_real: 0.014 D_fake: 0.083 
(epoch: 8, iters: 28108, time: 0.073, data: 0.009) G_GAN: 0.902 G_L1: 9.061 D_real: 0.013 D_fake: 0.030 
(epoch: 8, iters: 28208, time: 0.072, data: 0.006) G_GAN: 0.990 G_L1: 8.461 D_real: 0.094 D_fake: 0.176 
(epoch: 8, iters: 28308, time: 0.073, data: 0.007) G_GAN: 1.108 G_L1: 10.231 D_real: 0.059 D_fake: 0.060 
(epoch: 8, iters: 28408, time: 0.073, data: 0.006) G_GAN: 0.711 G_L1: 7.427 D_real: 1.119 D_fake: 0.042 
(epoch: 8, iters: 28508, time: 0.074, data: 0.006) G_GAN: 0.371 G_L1: 8.073 D_real: 0.256 D_fake: 0.058 
(epoch: 8, iters: 28608, time: 0.072, data: 0.009) G_GAN: 1.019 G_L1: 7.286 D_real: 0.027 D_fake: 0.138 
(epoch: 8, iters: 28708, time: 0.072, data: 0.006) G_GAN: 0.765 G_L1: 7.972 D_real: 0.019 D_fake: 0.043 
(epoch: 8, iters: 28808, time: 0.073, data: 0.007) G_GAN: 0.659 G_L1: 8.161 D_real: 0.075 D_fake: 0.025 
(epoch: 8, iters: 28908, time: 0.073, data: 0.012) G_GAN: 1.219 G_L1: 7.654 D_real: 0.023 D_fake: 0.075 
(epoch: 8, iters: 29008, time: 0.151, data: 0.005) G_GAN: 0.644 G_L1: 8.326 D_real: 0.131 D_fake: 0.042 
(epoch: 8, iters: 29108, time: 0.072, data: 0.009) G_GAN: 1.076 G_L1: 6.695 D_real: 0.014 D_fake: 0.047 
(epoch: 8, iters: 29208, time: 0.072, data: 0.010) G_GAN: 0.651 G_L1: 7.298 D_real: 0.055 D_fake: 0.042 
(epoch: 8, iters: 29308, time: 0.073, data: 0.007) G_GAN: 0.529 G_L1: 7.258 D_real: 0.126 D_fake: 0.012 
(epoch: 8, iters: 29408, time: 0.072, data: 0.007) G_GAN: 0.608 G_L1: 7.667 D_real: 0.155 D_fake: 0.015 
(epoch: 8, iters: 29508, time: 0.072, data: 0.007) G_GAN: 1.185 G_L1: 7.536 D_real: 0.012 D_fake: 0.067 
(epoch: 8, iters: 29608, time: 0.071, data: 0.006) G_GAN: 0.758 G_L1: 7.283 D_real: 0.186 D_fake: 0.024 
(epoch: 8, iters: 29708, time: 0.074, data: 0.009) G_GAN: 0.688 G_L1: 8.036 D_real: 0.117 D_fake: 0.012 
(epoch: 8, iters: 29808, time: 0.074, data: 0.009) G_GAN: 1.134 G_L1: 7.792 D_real: 0.021 D_fake: 0.019 
(epoch: 8, iters: 29908, time: 0.070, data: 0.006) G_GAN: 0.914 G_L1: 8.603 D_real: 0.023 D_fake: 0.076 
(epoch: 8, iters: 30008, time: 0.072, data: 0.007) G_GAN: 1.392 G_L1: 7.790 D_real: 0.081 D_fake: 0.220 
saving the latest model (epoch 8, total_iters 365000)
(epoch: 8, iters: 30108, time: 0.073, data: 0.006) G_GAN: 0.998 G_L1: 9.209 D_real: 0.016 D_fake: 0.080 
(epoch: 8, iters: 30208, time: 0.073, data: 0.006) G_GAN: 1.041 G_L1: 9.164 D_real: 0.019 D_fake: 0.015 
(epoch: 8, iters: 30308, time: 0.071, data: 0.014) G_GAN: 1.018 G_L1: 7.501 D_real: 0.019 D_fake: 0.047 
(epoch: 8, iters: 30408, time: 0.072, data: 0.009) G_GAN: 1.149 G_L1: 8.590 D_real: 0.020 D_fake: 0.052 
(epoch: 8, iters: 30508, time: 0.073, data: 0.008) G_GAN: 0.986 G_L1: 7.542 D_real: 0.186 D_fake: 0.110 
(epoch: 8, iters: 30608, time: 0.072, data: 0.006) G_GAN: 0.807 G_L1: 9.311 D_real: 0.017 D_fake: 0.024 
(epoch: 8, iters: 30708, time: 0.074, data: 0.007) G_GAN: 0.492 G_L1: 9.010 D_real: 0.127 D_fake: 0.067 
(epoch: 8, iters: 30808, time: 0.072, data: 0.007) G_GAN: 0.713 G_L1: 7.159 D_real: 0.087 D_fake: 0.022 
(epoch: 8, iters: 30908, time: 0.073, data: 0.009) G_GAN: 0.990 G_L1: 8.107 D_real: 0.143 D_fake: 0.080 
(epoch: 8, iters: 31008, time: 0.151, data: 0.009) G_GAN: 0.828 G_L1: 6.896 D_real: 0.212 D_fake: 0.035 
(epoch: 8, iters: 31108, time: 0.074, data: 0.012) G_GAN: 0.880 G_L1: 7.138 D_real: 0.020 D_fake: 0.096 
(epoch: 8, iters: 31208, time: 0.074, data: 0.009) G_GAN: 1.863 G_L1: 8.891 D_real: 0.067 D_fake: 0.173 
(epoch: 8, iters: 31308, time: 0.072, data: 0.007) G_GAN: 0.808 G_L1: 7.650 D_real: 0.036 D_fake: 0.021 
(epoch: 8, iters: 31408, time: 0.071, data: 0.006) G_GAN: 0.745 G_L1: 8.484 D_real: 0.015 D_fake: 0.173 
(epoch: 8, iters: 31508, time: 0.071, data: 0.011) G_GAN: 0.518 G_L1: 7.645 D_real: 0.144 D_fake: 0.014 
(epoch: 8, iters: 31608, time: 0.073, data: 0.007) G_GAN: 1.155 G_L1: 7.322 D_real: 0.593 D_fake: 0.073 
(epoch: 8, iters: 31708, time: 0.071, data: 0.010) G_GAN: 0.970 G_L1: 8.609 D_real: 0.061 D_fake: 0.173 
(epoch: 8, iters: 31808, time: 0.072, data: 0.008) G_GAN: 1.036 G_L1: 8.017 D_real: 0.014 D_fake: 0.021 
(epoch: 8, iters: 31908, time: 0.071, data: 0.007) G_GAN: 0.661 G_L1: 7.789 D_real: 0.106 D_fake: 0.017 
(epoch: 8, iters: 32008, time: 0.071, data: 0.007) G_GAN: 0.598 G_L1: 7.945 D_real: 0.114 D_fake: 0.018 
(epoch: 8, iters: 32108, time: 0.072, data: 0.005) G_GAN: 0.780 G_L1: 8.188 D_real: 0.034 D_fake: 0.035 
(epoch: 8, iters: 32208, time: 0.073, data: 0.009) G_GAN: 1.293 G_L1: 9.606 D_real: 0.033 D_fake: 0.132 
(epoch: 8, iters: 32308, time: 0.074, data: 0.007) G_GAN: 0.884 G_L1: 8.583 D_real: 0.027 D_fake: 0.096 
(epoch: 8, iters: 32408, time: 0.073, data: 0.006) G_GAN: 0.672 G_L1: 8.883 D_real: 0.027 D_fake: 0.018 
(epoch: 8, iters: 32508, time: 0.072, data: 0.007) G_GAN: 0.756 G_L1: 8.152 D_real: 0.137 D_fake: 0.020 
(epoch: 8, iters: 32608, time: 0.074, data: 0.007) G_GAN: 0.761 G_L1: 7.667 D_real: 0.093 D_fake: 0.059 
(epoch: 8, iters: 32708, time: 0.073, data: 0.008) G_GAN: 0.948 G_L1: 8.335 D_real: 0.087 D_fake: 0.045 
(epoch: 8, iters: 32808, time: 0.073, data: 0.006) G_GAN: 0.896 G_L1: 8.121 D_real: 0.131 D_fake: 0.011 
(epoch: 8, iters: 32908, time: 0.072, data: 0.006) G_GAN: 0.773 G_L1: 9.086 D_real: 0.041 D_fake: 0.027 
(epoch: 8, iters: 33008, time: 0.154, data: 0.007) G_GAN: 1.198 G_L1: 8.287 D_real: 0.046 D_fake: 0.410 
(epoch: 8, iters: 33108, time: 0.073, data: 0.009) G_GAN: 0.720 G_L1: 7.664 D_real: 0.067 D_fake: 0.096 
(epoch: 8, iters: 33208, time: 0.071, data: 0.006) G_GAN: 1.089 G_L1: 8.004 D_real: 0.086 D_fake: 0.313 
(epoch: 8, iters: 33308, time: 0.069, data: 0.010) G_GAN: 1.042 G_L1: 8.061 D_real: 0.020 D_fake: 0.041 
(epoch: 8, iters: 33408, time: 0.072, data: 0.009) G_GAN: 1.280 G_L1: 6.947 D_real: 0.038 D_fake: 0.548 
(epoch: 8, iters: 33508, time: 0.070, data: 0.011) G_GAN: 0.892 G_L1: 8.839 D_real: 0.044 D_fake: 0.014 
(epoch: 8, iters: 33608, time: 0.070, data: 0.007) G_GAN: 0.777 G_L1: 8.036 D_real: 0.040 D_fake: 0.065 
(epoch: 8, iters: 33708, time: 0.073, data: 0.009) G_GAN: 1.532 G_L1: 8.323 D_real: 0.034 D_fake: 0.085 
(epoch: 8, iters: 33808, time: 0.072, data: 0.006) G_GAN: 1.014 G_L1: 7.531 D_real: 0.045 D_fake: 0.062 
(epoch: 8, iters: 33908, time: 0.070, data: 0.009) G_GAN: 0.787 G_L1: 8.548 D_real: 0.073 D_fake: 0.028 
(epoch: 8, iters: 34008, time: 0.072, data: 0.009) G_GAN: 1.538 G_L1: 8.149 D_real: 0.070 D_fake: 0.241 
(epoch: 8, iters: 34108, time: 0.071, data: 0.005) G_GAN: 1.769 G_L1: 7.149 D_real: 0.032 D_fake: 0.050 
(epoch: 8, iters: 34208, time: 0.072, data: 0.006) G_GAN: 0.718 G_L1: 8.062 D_real: 0.018 D_fake: 0.076 
(epoch: 8, iters: 34308, time: 0.072, data: 0.008) G_GAN: 1.041 G_L1: 8.233 D_real: 0.014 D_fake: 0.032 
(epoch: 8, iters: 34408, time: 0.071, data: 0.009) G_GAN: 0.603 G_L1: 8.340 D_real: 0.086 D_fake: 0.019 
(epoch: 8, iters: 34508, time: 0.071, data: 0.008) G_GAN: 1.028 G_L1: 7.056 D_real: 0.020 D_fake: 0.135 
(epoch: 8, iters: 34608, time: 0.072, data: 0.005) G_GAN: 0.816 G_L1: 9.231 D_real: 0.024 D_fake: 0.053 
(epoch: 8, iters: 34708, time: 0.072, data: 0.008) G_GAN: 1.027 G_L1: 7.224 D_real: 0.028 D_fake: 0.014 
(epoch: 8, iters: 34808, time: 0.072, data: 0.006) G_GAN: 0.811 G_L1: 8.197 D_real: 0.102 D_fake: 0.025 
(epoch: 8, iters: 34908, time: 0.074, data: 0.008) G_GAN: 0.654 G_L1: 8.720 D_real: 0.064 D_fake: 0.016 
(epoch: 8, iters: 35008, time: 0.154, data: 0.007) G_GAN: 0.820 G_L1: 9.132 D_real: 0.050 D_fake: 0.036 
saving the latest model (epoch 8, total_iters 370000)
(epoch: 8, iters: 35108, time: 0.072, data: 0.007) G_GAN: 1.257 G_L1: 6.471 D_real: 0.023 D_fake: 0.226 
(epoch: 8, iters: 35208, time: 0.072, data: 0.008) G_GAN: 1.044 G_L1: 8.977 D_real: 0.035 D_fake: 0.014 
(epoch: 8, iters: 35308, time: 0.073, data: 0.010) G_GAN: 0.814 G_L1: 7.677 D_real: 0.038 D_fake: 0.013 
(epoch: 8, iters: 35408, time: 0.072, data: 0.006) G_GAN: 0.799 G_L1: 7.497 D_real: 0.321 D_fake: 0.027 
(epoch: 8, iters: 35508, time: 0.072, data: 0.005) G_GAN: 1.226 G_L1: 7.890 D_real: 0.028 D_fake: 0.132 
(epoch: 8, iters: 35608, time: 0.071, data: 0.007) G_GAN: 1.181 G_L1: 8.132 D_real: 0.024 D_fake: 0.109 
(epoch: 8, iters: 35708, time: 0.073, data: 0.011) G_GAN: 0.608 G_L1: 7.348 D_real: 0.081 D_fake: 0.013 
(epoch: 8, iters: 35808, time: 0.073, data: 0.006) G_GAN: 0.702 G_L1: 8.247 D_real: 0.068 D_fake: 0.024 
(epoch: 8, iters: 35908, time: 0.073, data: 0.007) G_GAN: 0.805 G_L1: 8.426 D_real: 0.021 D_fake: 0.072 
(epoch: 8, iters: 36008, time: 0.072, data: 0.006) G_GAN: 0.662 G_L1: 8.309 D_real: 0.140 D_fake: 0.071 
(epoch: 8, iters: 36108, time: 0.073, data: 0.010) G_GAN: 0.236 G_L1: 7.757 D_real: 1.167 D_fake: 0.021 
(epoch: 8, iters: 36208, time: 0.072, data: 0.008) G_GAN: 0.669 G_L1: 7.720 D_real: 0.087 D_fake: 0.024 
(epoch: 8, iters: 36308, time: 0.072, data: 0.006) G_GAN: 0.950 G_L1: 8.956 D_real: 0.022 D_fake: 0.080 
(epoch: 8, iters: 36408, time: 0.072, data: 0.007) G_GAN: 0.750 G_L1: 7.819 D_real: 0.083 D_fake: 0.089 
(epoch: 8, iters: 36508, time: 0.073, data: 0.008) G_GAN: 0.851 G_L1: 9.038 D_real: 0.034 D_fake: 0.037 
(epoch: 8, iters: 36608, time: 0.071, data: 0.007) G_GAN: 0.867 G_L1: 8.544 D_real: 0.026 D_fake: 0.018 
(epoch: 8, iters: 36708, time: 0.073, data: 0.005) G_GAN: 0.628 G_L1: 7.856 D_real: 0.338 D_fake: 0.030 
(epoch: 8, iters: 36808, time: 0.072, data: 0.006) G_GAN: 0.847 G_L1: 8.800 D_real: 0.018 D_fake: 0.130 
(epoch: 8, iters: 36908, time: 0.072, data: 0.010) G_GAN: 0.687 G_L1: 7.876 D_real: 0.177 D_fake: 0.020 
(epoch: 8, iters: 37008, time: 0.147, data: 0.006) G_GAN: 1.163 G_L1: 8.913 D_real: 0.023 D_fake: 0.039 
(epoch: 8, iters: 37108, time: 0.073, data: 0.006) G_GAN: 1.523 G_L1: 7.465 D_real: 0.022 D_fake: 0.184 
(epoch: 8, iters: 37208, time: 0.072, data: 0.011) G_GAN: 0.775 G_L1: 8.624 D_real: 0.085 D_fake: 0.074 
(epoch: 8, iters: 37308, time: 0.072, data: 0.007) G_GAN: 1.007 G_L1: 7.232 D_real: 0.019 D_fake: 0.038 
(epoch: 8, iters: 37408, time: 0.071, data: 0.007) G_GAN: 0.892 G_L1: 8.527 D_real: 0.258 D_fake: 0.017 
(epoch: 8, iters: 37508, time: 0.073, data: 0.011) G_GAN: 0.784 G_L1: 8.182 D_real: 0.085 D_fake: 0.034 
(epoch: 8, iters: 37608, time: 0.074, data: 0.007) G_GAN: 0.923 G_L1: 9.038 D_real: 0.033 D_fake: 0.068 
(epoch: 8, iters: 37708, time: 0.070, data: 0.005) G_GAN: 0.731 G_L1: 8.060 D_real: 0.066 D_fake: 0.047 
(epoch: 8, iters: 37808, time: 0.074, data: 0.006) G_GAN: 0.784 G_L1: 7.751 D_real: 0.103 D_fake: 0.281 
(epoch: 8, iters: 37908, time: 0.072, data: 0.006) G_GAN: 1.038 G_L1: 9.575 D_real: 0.021 D_fake: 0.035 
(epoch: 8, iters: 38008, time: 0.071, data: 0.012) G_GAN: 0.922 G_L1: 7.854 D_real: 0.015 D_fake: 0.024 
(epoch: 8, iters: 38108, time: 0.071, data: 0.009) G_GAN: 0.752 G_L1: 7.552 D_real: 0.127 D_fake: 0.287 
(epoch: 8, iters: 38208, time: 0.072, data: 0.008) G_GAN: 0.896 G_L1: 7.368 D_real: 0.015 D_fake: 0.101 
(epoch: 8, iters: 38308, time: 0.071, data: 0.010) G_GAN: 0.852 G_L1: 9.033 D_real: 0.015 D_fake: 0.044 
(epoch: 8, iters: 38408, time: 0.071, data: 0.006) G_GAN: 1.882 G_L1: 8.183 D_real: 0.081 D_fake: 0.173 
(epoch: 8, iters: 38508, time: 0.072, data: 0.007) G_GAN: 1.449 G_L1: 7.466 D_real: 0.052 D_fake: 0.217 
(epoch: 8, iters: 38608, time: 0.072, data: 0.007) G_GAN: 0.934 G_L1: 8.343 D_real: 0.026 D_fake: 0.041 
(epoch: 8, iters: 38708, time: 0.071, data: 0.006) G_GAN: 1.363 G_L1: 8.139 D_real: 0.071 D_fake: 0.189 
(epoch: 8, iters: 38808, time: 0.072, data: 0.008) G_GAN: 0.886 G_L1: 7.424 D_real: 0.600 D_fake: 0.021 
(epoch: 8, iters: 38908, time: 0.073, data: 0.007) G_GAN: 0.956 G_L1: 7.624 D_real: 0.020 D_fake: 0.066 
(epoch: 8, iters: 39008, time: 0.151, data: 0.007) G_GAN: 0.891 G_L1: 7.439 D_real: 0.030 D_fake: 0.099 
(epoch: 8, iters: 39108, time: 0.073, data: 0.006) G_GAN: 0.830 G_L1: 8.113 D_real: 0.201 D_fake: 0.015 
(epoch: 8, iters: 39208, time: 0.071, data: 0.007) G_GAN: 0.674 G_L1: 7.448 D_real: 0.152 D_fake: 0.011 
(epoch: 8, iters: 39308, time: 0.072, data: 0.013) G_GAN: 1.400 G_L1: 9.158 D_real: 0.059 D_fake: 0.121 
(epoch: 8, iters: 39408, time: 0.073, data: 0.007) G_GAN: 1.037 G_L1: 8.461 D_real: 0.016 D_fake: 0.020 
(epoch: 8, iters: 39508, time: 0.074, data: 0.010) G_GAN: 1.033 G_L1: 9.529 D_real: 0.020 D_fake: 0.088 
(epoch: 8, iters: 39608, time: 0.072, data: 0.005) G_GAN: 1.173 G_L1: 7.252 D_real: 0.142 D_fake: 0.117 
(epoch: 8, iters: 39708, time: 0.073, data: 0.006) G_GAN: 0.784 G_L1: 8.487 D_real: 0.013 D_fake: 0.053 
(epoch: 8, iters: 39808, time: 0.072, data: 0.008) G_GAN: 0.802 G_L1: 9.727 D_real: 0.134 D_fake: 0.012 
(epoch: 8, iters: 39908, time: 0.072, data: 0.010) G_GAN: 0.849 G_L1: 7.632 D_real: 0.040 D_fake: 0.053 
(epoch: 8, iters: 40008, time: 0.073, data: 0.006) G_GAN: 0.772 G_L1: 8.642 D_real: 0.328 D_fake: 0.086 
saving the latest model (epoch 8, total_iters 375000)
(epoch: 8, iters: 40108, time: 0.073, data: 0.012) G_GAN: 0.923 G_L1: 8.284 D_real: 0.012 D_fake: 0.077 
(epoch: 8, iters: 40208, time: 0.072, data: 0.007) G_GAN: 0.949 G_L1: 8.028 D_real: 0.022 D_fake: 0.044 
(epoch: 8, iters: 40308, time: 0.071, data: 0.008) G_GAN: 0.873 G_L1: 7.887 D_real: 0.013 D_fake: 0.091 
(epoch: 8, iters: 40408, time: 0.072, data: 0.011) G_GAN: 0.616 G_L1: 7.597 D_real: 0.080 D_fake: 0.032 
(epoch: 8, iters: 40508, time: 0.071, data: 0.007) G_GAN: 0.790 G_L1: 8.885 D_real: 0.080 D_fake: 0.036 
(epoch: 8, iters: 40608, time: 0.072, data: 0.012) G_GAN: 0.711 G_L1: 8.614 D_real: 0.095 D_fake: 0.069 
(epoch: 8, iters: 40708, time: 0.074, data: 0.007) G_GAN: 0.784 G_L1: 8.857 D_real: 0.056 D_fake: 0.068 
(epoch: 8, iters: 40808, time: 0.072, data: 0.007) G_GAN: 0.846 G_L1: 7.026 D_real: 0.043 D_fake: 0.099 
(epoch: 8, iters: 40908, time: 0.071, data: 0.013) G_GAN: 0.773 G_L1: 8.448 D_real: 0.140 D_fake: 0.058 
(epoch: 8, iters: 41008, time: 0.148, data: 0.007) G_GAN: 0.589 G_L1: 7.817 D_real: 0.253 D_fake: 0.028 
(epoch: 8, iters: 41108, time: 0.072, data: 0.009) G_GAN: 0.873 G_L1: 6.923 D_real: 0.052 D_fake: 0.037 
(epoch: 8, iters: 41208, time: 0.073, data: 0.008) G_GAN: 1.070 G_L1: 7.774 D_real: 0.016 D_fake: 0.020 
(epoch: 8, iters: 41308, time: 0.072, data: 0.007) G_GAN: 0.890 G_L1: 9.010 D_real: 0.016 D_fake: 0.019 
(epoch: 8, iters: 41408, time: 0.073, data: 0.007) G_GAN: 0.690 G_L1: 7.516 D_real: 0.075 D_fake: 0.057 
(epoch: 8, iters: 41508, time: 0.070, data: 0.006) G_GAN: 0.811 G_L1: 8.085 D_real: 0.017 D_fake: 0.051 
(epoch: 8, iters: 41608, time: 0.071, data: 0.007) G_GAN: 0.612 G_L1: 7.734 D_real: 0.091 D_fake: 0.052 
(epoch: 8, iters: 41708, time: 0.073, data: 0.009) G_GAN: 0.948 G_L1: 8.299 D_real: 0.018 D_fake: 0.022 
(epoch: 8, iters: 41808, time: 0.073, data: 0.007) G_GAN: 0.896 G_L1: 8.670 D_real: 0.025 D_fake: 0.061 
(epoch: 8, iters: 41908, time: 0.073, data: 0.008) G_GAN: 0.670 G_L1: 8.515 D_real: 0.121 D_fake: 0.032 
(epoch: 8, iters: 42008, time: 0.070, data: 0.007) G_GAN: 0.941 G_L1: 8.295 D_real: 0.185 D_fake: 0.016 
(epoch: 8, iters: 42108, time: 0.071, data: 0.006) G_GAN: 0.894 G_L1: 8.121 D_real: 0.018 D_fake: 0.108 
(epoch: 8, iters: 42208, time: 0.073, data: 0.007) G_GAN: 0.690 G_L1: 7.444 D_real: 0.230 D_fake: 0.118 
(epoch: 8, iters: 42308, time: 0.069, data: 0.010) G_GAN: 0.914 G_L1: 9.013 D_real: 0.037 D_fake: 0.033 
(epoch: 8, iters: 42408, time: 0.073, data: 0.007) G_GAN: 0.513 G_L1: 7.623 D_real: 0.153 D_fake: 0.018 
(epoch: 8, iters: 42508, time: 0.071, data: 0.011) G_GAN: 0.464 G_L1: 7.352 D_real: 0.113 D_fake: 0.061 
(epoch: 8, iters: 42608, time: 0.073, data: 0.011) G_GAN: 1.352 G_L1: 7.807 D_real: 0.022 D_fake: 0.018 
(epoch: 8, iters: 42708, time: 0.072, data: 0.009) G_GAN: 1.180 G_L1: 8.651 D_real: 0.024 D_fake: 0.022 
(epoch: 8, iters: 42808, time: 0.072, data: 0.007) G_GAN: 0.514 G_L1: 7.955 D_real: 0.156 D_fake: 0.038 
(epoch: 8, iters: 42908, time: 0.072, data: 0.010) G_GAN: 0.878 G_L1: 8.216 D_real: 0.027 D_fake: 0.045 
(epoch: 8, iters: 43008, time: 0.146, data: 0.009) G_GAN: 0.890 G_L1: 7.904 D_real: 0.023 D_fake: 0.067 
(epoch: 8, iters: 43108, time: 0.073, data: 0.007) G_GAN: 0.804 G_L1: 8.752 D_real: 0.100 D_fake: 0.027 
(epoch: 8, iters: 43208, time: 0.073, data: 0.008) G_GAN: 0.399 G_L1: 8.621 D_real: 0.503 D_fake: 0.024 
(epoch: 8, iters: 43308, time: 0.072, data: 0.008) G_GAN: 1.183 G_L1: 8.000 D_real: 0.072 D_fake: 0.053 
(epoch: 8, iters: 43408, time: 0.073, data: 0.009) G_GAN: 0.824 G_L1: 7.413 D_real: 0.013 D_fake: 0.078 
(epoch: 8, iters: 43508, time: 0.072, data: 0.007) G_GAN: 0.967 G_L1: 7.763 D_real: 0.161 D_fake: 0.062 
(epoch: 8, iters: 43608, time: 0.073, data: 0.006) G_GAN: 0.871 G_L1: 7.465 D_real: 0.068 D_fake: 0.074 
(epoch: 8, iters: 43708, time: 0.071, data: 0.010) G_GAN: 1.024 G_L1: 7.706 D_real: 0.013 D_fake: 0.096 
(epoch: 8, iters: 43808, time: 0.072, data: 0.009) G_GAN: 1.041 G_L1: 9.136 D_real: 0.036 D_fake: 0.054 
(epoch: 8, iters: 43908, time: 0.070, data: 0.010) G_GAN: 1.760 G_L1: 7.962 D_real: 0.156 D_fake: 0.444 
(epoch: 8, iters: 44008, time: 0.072, data: 0.005) G_GAN: 0.730 G_L1: 7.754 D_real: 0.093 D_fake: 0.010 
(epoch: 8, iters: 44108, time: 0.072, data: 0.006) G_GAN: 0.852 G_L1: 8.597 D_real: 0.045 D_fake: 0.083 
(epoch: 8, iters: 44208, time: 0.073, data: 0.005) G_GAN: 0.567 G_L1: 8.557 D_real: 0.189 D_fake: 0.016 
(epoch: 8, iters: 44308, time: 0.073, data: 0.005) G_GAN: 2.331 G_L1: 6.495 D_real: 0.087 D_fake: 0.366 
(epoch: 8, iters: 44408, time: 0.073, data: 0.006) G_GAN: 2.334 G_L1: 7.890 D_real: 0.119 D_fake: 0.120 
(epoch: 8, iters: 44508, time: 0.074, data: 0.010) G_GAN: 1.428 G_L1: 10.031 D_real: 0.057 D_fake: 0.086 
(epoch: 8, iters: 44608, time: 0.073, data: 0.006) G_GAN: 0.509 G_L1: 8.292 D_real: 0.222 D_fake: 0.013 
(epoch: 8, iters: 44708, time: 0.073, data: 0.008) G_GAN: 0.951 G_L1: 8.672 D_real: 0.012 D_fake: 0.086 
(epoch: 8, iters: 44808, time: 0.073, data: 0.007) G_GAN: 1.304 G_L1: 8.188 D_real: 0.049 D_fake: 0.137 
(epoch: 8, iters: 44908, time: 0.073, data: 0.007) G_GAN: 0.743 G_L1: 9.086 D_real: 0.125 D_fake: 0.033 
(epoch: 8, iters: 45008, time: 0.149, data: 0.006) G_GAN: 0.823 G_L1: 8.356 D_real: 0.226 D_fake: 0.017 
saving the latest model (epoch 8, total_iters 380000)
(epoch: 8, iters: 45108, time: 0.071, data: 0.009) G_GAN: 0.635 G_L1: 7.971 D_real: 0.037 D_fake: 0.088 
(epoch: 8, iters: 45208, time: 0.071, data: 0.011) G_GAN: 1.022 G_L1: 8.727 D_real: 0.018 D_fake: 0.093 
(epoch: 8, iters: 45308, time: 0.072, data: 0.012) G_GAN: 0.880 G_L1: 7.632 D_real: 0.138 D_fake: 0.067 
(epoch: 8, iters: 45408, time: 0.068, data: 0.007) G_GAN: 0.841 G_L1: 6.959 D_real: 0.045 D_fake: 0.014 
(epoch: 8, iters: 45508, time: 0.070, data: 0.007) G_GAN: 0.717 G_L1: 7.022 D_real: 0.042 D_fake: 0.024 
(epoch: 8, iters: 45608, time: 0.071, data: 0.011) G_GAN: 0.762 G_L1: 7.523 D_real: 0.055 D_fake: 0.018 
(epoch: 8, iters: 45708, time: 0.073, data: 0.008) G_GAN: 0.935 G_L1: 7.157 D_real: 0.013 D_fake: 0.093 
(epoch: 8, iters: 45808, time: 0.072, data: 0.009) G_GAN: 0.860 G_L1: 8.177 D_real: 0.172 D_fake: 0.051 
(epoch: 8, iters: 45908, time: 0.069, data: 0.007) G_GAN: 0.898 G_L1: 7.451 D_real: 0.019 D_fake: 0.179 
(epoch: 8, iters: 46008, time: 0.073, data: 0.007) G_GAN: 1.185 G_L1: 7.581 D_real: 0.025 D_fake: 0.201 
(epoch: 8, iters: 46108, time: 0.071, data: 0.010) G_GAN: 1.010 G_L1: 7.795 D_real: 0.364 D_fake: 0.016 
(epoch: 8, iters: 46208, time: 0.072, data: 0.006) G_GAN: 0.545 G_L1: 7.882 D_real: 0.113 D_fake: 0.011 
(epoch: 8, iters: 46308, time: 0.071, data: 0.007) G_GAN: 0.969 G_L1: 10.591 D_real: 0.026 D_fake: 0.024 
(epoch: 8, iters: 46408, time: 0.073, data: 0.007) G_GAN: 0.709 G_L1: 8.357 D_real: 0.138 D_fake: 0.049 
(epoch: 8, iters: 46508, time: 0.073, data: 0.006) G_GAN: 1.012 G_L1: 8.170 D_real: 0.023 D_fake: 0.042 
(epoch: 8, iters: 46608, time: 0.074, data: 0.008) G_GAN: 1.329 G_L1: 7.938 D_real: 0.015 D_fake: 0.107 
(epoch: 8, iters: 46708, time: 0.071, data: 0.009) G_GAN: 0.810 G_L1: 8.654 D_real: 0.036 D_fake: 0.027 
(epoch: 8, iters: 46808, time: 0.072, data: 0.007) G_GAN: 1.192 G_L1: 8.871 D_real: 0.019 D_fake: 0.087 
(epoch: 8, iters: 46908, time: 0.071, data: 0.005) G_GAN: 1.491 G_L1: 8.795 D_real: 0.118 D_fake: 0.190 
(epoch: 8, iters: 47008, time: 0.152, data: 0.006) G_GAN: 0.856 G_L1: 7.813 D_real: 0.030 D_fake: 0.055 
(epoch: 8, iters: 47108, time: 0.071, data: 0.010) G_GAN: 1.087 G_L1: 8.118 D_real: 0.040 D_fake: 0.088 
(epoch: 8, iters: 47208, time: 0.072, data: 0.006) G_GAN: 0.605 G_L1: 9.052 D_real: 0.140 D_fake: 0.014 
(epoch: 8, iters: 47308, time: 0.072, data: 0.012) G_GAN: 0.933 G_L1: 8.504 D_real: 0.029 D_fake: 0.079 
(epoch: 8, iters: 47408, time: 0.072, data: 0.006) G_GAN: 1.404 G_L1: 9.218 D_real: 0.061 D_fake: 0.028 
(epoch: 8, iters: 47508, time: 0.073, data: 0.007) G_GAN: 0.831 G_L1: 7.221 D_real: 0.147 D_fake: 0.037 
(epoch: 8, iters: 47608, time: 0.070, data: 0.007) G_GAN: 0.769 G_L1: 9.460 D_real: 0.111 D_fake: 0.013 
(epoch: 8, iters: 47708, time: 0.072, data: 0.007) G_GAN: 0.506 G_L1: 8.344 D_real: 0.170 D_fake: 0.011 
(epoch: 8, iters: 47808, time: 0.071, data: 0.008) G_GAN: 1.167 G_L1: 7.628 D_real: 0.018 D_fake: 0.089 
saving the model at the end of epoch 8, iters 382848
End of epoch 8 / 20 	 Time Taken: 1973 sec
learning rate 0.0002000 -> 0.0002000
(epoch: 9, iters: 52, time: 0.070, data: 0.007) G_GAN: 0.772 G_L1: 7.955 D_real: 0.067 D_fake: 0.052 
(epoch: 9, iters: 152, time: 0.071, data: 0.007) G_GAN: 0.633 G_L1: 8.095 D_real: 0.199 D_fake: 0.024 
(epoch: 9, iters: 252, time: 0.069, data: 0.007) G_GAN: 1.269 G_L1: 8.145 D_real: 0.183 D_fake: 0.139 
(epoch: 9, iters: 352, time: 0.150, data: 0.007) G_GAN: 0.906 G_L1: 8.640 D_real: 0.015 D_fake: 0.044 
(epoch: 9, iters: 452, time: 0.071, data: 0.007) G_GAN: 0.734 G_L1: 8.718 D_real: 0.012 D_fake: 0.098 
(epoch: 9, iters: 552, time: 0.070, data: 0.008) G_GAN: 0.616 G_L1: 8.063 D_real: 0.048 D_fake: 0.078 
(epoch: 9, iters: 652, time: 0.070, data: 0.006) G_GAN: 0.964 G_L1: 8.078 D_real: 0.019 D_fake: 0.131 
(epoch: 9, iters: 752, time: 0.071, data: 0.008) G_GAN: 1.343 G_L1: 7.788 D_real: 0.090 D_fake: 0.331 
(epoch: 9, iters: 852, time: 0.071, data: 0.006) G_GAN: 1.068 G_L1: 9.818 D_real: 0.041 D_fake: 0.088 
(epoch: 9, iters: 952, time: 0.071, data: 0.006) G_GAN: 0.786 G_L1: 8.936 D_real: 0.033 D_fake: 0.025 
(epoch: 9, iters: 1052, time: 0.070, data: 0.009) G_GAN: 1.033 G_L1: 7.632 D_real: 0.032 D_fake: 0.065 
(epoch: 9, iters: 1152, time: 0.153, data: 0.010) G_GAN: 0.907 G_L1: 8.297 D_real: 0.029 D_fake: 0.064 
(epoch: 9, iters: 1252, time: 0.070, data: 0.008) G_GAN: 1.162 G_L1: 8.098 D_real: 0.030 D_fake: 0.019 
(epoch: 9, iters: 1352, time: 0.071, data: 0.007) G_GAN: 0.727 G_L1: 8.279 D_real: 0.078 D_fake: 0.029 
(epoch: 9, iters: 1452, time: 0.068, data: 0.010) G_GAN: 0.728 G_L1: 8.146 D_real: 0.070 D_fake: 0.020 
(epoch: 9, iters: 1552, time: 0.071, data: 0.007) G_GAN: 0.699 G_L1: 8.202 D_real: 0.017 D_fake: 0.065 
(epoch: 9, iters: 1652, time: 0.069, data: 0.007) G_GAN: 0.977 G_L1: 8.133 D_real: 0.046 D_fake: 0.024 
(epoch: 9, iters: 1752, time: 0.071, data: 0.009) G_GAN: 1.018 G_L1: 9.763 D_real: 0.036 D_fake: 0.022 
(epoch: 9, iters: 1852, time: 0.068, data: 0.007) G_GAN: 1.001 G_L1: 8.405 D_real: 0.023 D_fake: 0.054 
(epoch: 9, iters: 1952, time: 0.068, data: 0.010) G_GAN: 1.074 G_L1: 8.892 D_real: 0.030 D_fake: 0.156 
(epoch: 9, iters: 2052, time: 0.070, data: 0.007) G_GAN: 1.275 G_L1: 7.860 D_real: 0.061 D_fake: 0.225 
(epoch: 9, iters: 2152, time: 0.073, data: 0.009) G_GAN: 1.022 G_L1: 8.441 D_real: 0.026 D_fake: 0.019 
saving the latest model (epoch 9, total_iters 385000)
(epoch: 9, iters: 2252, time: 0.068, data: 0.007) G_GAN: 0.914 G_L1: 7.884 D_real: 0.030 D_fake: 0.096 
(epoch: 9, iters: 2352, time: 0.070, data: 0.006) G_GAN: 1.666 G_L1: 8.353 D_real: 0.083 D_fake: 0.014 
(epoch: 9, iters: 2452, time: 0.071, data: 0.005) G_GAN: 1.141 G_L1: 7.978 D_real: 0.176 D_fake: 0.349 
(epoch: 9, iters: 2552, time: 0.071, data: 0.007) G_GAN: 0.932 G_L1: 7.271 D_real: 0.086 D_fake: 0.015 
(epoch: 9, iters: 2652, time: 0.071, data: 0.011) G_GAN: 0.609 G_L1: 8.277 D_real: 0.082 D_fake: 0.012 
(epoch: 9, iters: 2752, time: 0.071, data: 0.010) G_GAN: 0.760 G_L1: 7.923 D_real: 0.085 D_fake: 0.022 
(epoch: 9, iters: 2852, time: 0.071, data: 0.009) G_GAN: 0.844 G_L1: 7.955 D_real: 0.039 D_fake: 0.052 
(epoch: 9, iters: 2952, time: 0.071, data: 0.010) G_GAN: 1.637 G_L1: 7.964 D_real: 0.025 D_fake: 0.071 
(epoch: 9, iters: 3052, time: 0.068, data: 0.006) G_GAN: 1.261 G_L1: 8.973 D_real: 0.019 D_fake: 0.084 
(epoch: 9, iters: 3152, time: 0.154, data: 0.007) G_GAN: 0.803 G_L1: 8.088 D_real: 0.025 D_fake: 0.015 
(epoch: 9, iters: 3252, time: 0.074, data: 0.012) G_GAN: 0.835 G_L1: 8.448 D_real: 0.024 D_fake: 0.013 
(epoch: 9, iters: 3352, time: 0.068, data: 0.007) G_GAN: 0.908 G_L1: 8.808 D_real: 0.014 D_fake: 0.083 
(epoch: 9, iters: 3452, time: 0.071, data: 0.008) G_GAN: 0.242 G_L1: 9.467 D_real: 0.876 D_fake: 0.050 
(epoch: 9, iters: 3552, time: 0.071, data: 0.007) G_GAN: 1.336 G_L1: 7.006 D_real: 0.017 D_fake: 0.336 
(epoch: 9, iters: 3652, time: 0.072, data: 0.005) G_GAN: 1.022 G_L1: 8.015 D_real: 0.016 D_fake: 0.068 
(epoch: 9, iters: 3752, time: 0.067, data: 0.006) G_GAN: 0.608 G_L1: 8.336 D_real: 0.104 D_fake: 0.016 
(epoch: 9, iters: 3852, time: 0.071, data: 0.005) G_GAN: 1.086 G_L1: 8.285 D_real: 0.017 D_fake: 0.021 
(epoch: 9, iters: 3952, time: 0.070, data: 0.007) G_GAN: 1.162 G_L1: 8.533 D_real: 0.022 D_fake: 0.041 
(epoch: 9, iters: 4052, time: 0.072, data: 0.006) G_GAN: 0.831 G_L1: 8.533 D_real: 0.035 D_fake: 0.030 
(epoch: 9, iters: 4152, time: 0.072, data: 0.012) G_GAN: 0.645 G_L1: 8.860 D_real: 0.250 D_fake: 0.015 
(epoch: 9, iters: 4252, time: 0.071, data: 0.012) G_GAN: 0.615 G_L1: 7.163 D_real: 0.142 D_fake: 0.027 
(epoch: 9, iters: 4352, time: 0.070, data: 0.007) G_GAN: 0.815 G_L1: 7.595 D_real: 0.027 D_fake: 0.092 
(epoch: 9, iters: 4452, time: 0.067, data: 0.011) G_GAN: 0.573 G_L1: 7.874 D_real: 0.175 D_fake: 0.016 
(epoch: 9, iters: 4552, time: 0.068, data: 0.008) G_GAN: 0.879 G_L1: 8.167 D_real: 0.080 D_fake: 0.024 
(epoch: 9, iters: 4652, time: 0.070, data: 0.012) G_GAN: 0.994 G_L1: 7.609 D_real: 0.049 D_fake: 0.121 
(epoch: 9, iters: 4752, time: 0.073, data: 0.008) G_GAN: 0.702 G_L1: 7.292 D_real: 0.055 D_fake: 0.017 
(epoch: 9, iters: 4852, time: 0.072, data: 0.006) G_GAN: 0.814 G_L1: 8.121 D_real: 0.022 D_fake: 0.087 
(epoch: 9, iters: 4952, time: 0.072, data: 0.007) G_GAN: 1.121 G_L1: 7.653 D_real: 0.062 D_fake: 0.050 
(epoch: 9, iters: 5052, time: 0.071, data: 0.009) G_GAN: 0.965 G_L1: 7.693 D_real: 0.016 D_fake: 0.014 
(epoch: 9, iters: 5152, time: 0.158, data: 0.007) G_GAN: 0.718 G_L1: 8.160 D_real: 0.055 D_fake: 0.035 
(epoch: 9, iters: 5252, time: 0.070, data: 0.010) G_GAN: 0.906 G_L1: 8.606 D_real: 0.033 D_fake: 0.019 
(epoch: 9, iters: 5352, time: 0.070, data: 0.014) G_GAN: 2.008 G_L1: 9.262 D_real: 0.167 D_fake: 0.065 
(epoch: 9, iters: 5452, time: 0.071, data: 0.010) G_GAN: 0.607 G_L1: 9.036 D_real: 0.130 D_fake: 0.033 
(epoch: 9, iters: 5552, time: 0.071, data: 0.008) G_GAN: 0.907 G_L1: 6.560 D_real: 0.131 D_fake: 0.047 
(epoch: 9, iters: 5652, time: 0.070, data: 0.008) G_GAN: 0.556 G_L1: 8.822 D_real: 0.159 D_fake: 0.051 
(epoch: 9, iters: 5752, time: 0.069, data: 0.008) G_GAN: 0.820 G_L1: 7.248 D_real: 0.019 D_fake: 0.097 
(epoch: 9, iters: 5852, time: 0.073, data: 0.010) G_GAN: 0.817 G_L1: 7.475 D_real: 0.030 D_fake: 0.074 
(epoch: 9, iters: 5952, time: 0.073, data: 0.006) G_GAN: 0.779 G_L1: 6.863 D_real: 0.047 D_fake: 0.018 
(epoch: 9, iters: 6052, time: 0.069, data: 0.006) G_GAN: 1.043 G_L1: 9.247 D_real: 0.021 D_fake: 0.065 
(epoch: 9, iters: 6152, time: 0.071, data: 0.007) G_GAN: 0.928 G_L1: 9.123 D_real: 0.041 D_fake: 0.029 
(epoch: 9, iters: 6252, time: 0.071, data: 0.009) G_GAN: 0.815 G_L1: 8.475 D_real: 0.015 D_fake: 0.070 
(epoch: 9, iters: 6352, time: 0.074, data: 0.009) G_GAN: 0.912 G_L1: 10.032 D_real: 0.064 D_fake: 0.025 
(epoch: 9, iters: 6452, time: 0.074, data: 0.007) G_GAN: 0.877 G_L1: 8.559 D_real: 0.027 D_fake: 0.126 
(epoch: 9, iters: 6552, time: 0.071, data: 0.009) G_GAN: 0.709 G_L1: 8.461 D_real: 0.027 D_fake: 0.028 
(epoch: 9, iters: 6652, time: 0.072, data: 0.010) G_GAN: 0.759 G_L1: 9.495 D_real: 0.120 D_fake: 0.080 
(epoch: 9, iters: 6752, time: 0.071, data: 0.007) G_GAN: 1.406 G_L1: 7.653 D_real: 0.019 D_fake: 0.101 
(epoch: 9, iters: 6852, time: 0.074, data: 0.010) G_GAN: 0.887 G_L1: 8.130 D_real: 0.052 D_fake: 0.014 
(epoch: 9, iters: 6952, time: 0.073, data: 0.010) G_GAN: 0.635 G_L1: 9.369 D_real: 0.219 D_fake: 0.064 
(epoch: 9, iters: 7052, time: 0.072, data: 0.011) G_GAN: 0.686 G_L1: 7.909 D_real: 0.025 D_fake: 0.103 
(epoch: 9, iters: 7152, time: 0.151, data: 0.007) G_GAN: 1.026 G_L1: 9.824 D_real: 0.026 D_fake: 0.042 
saving the latest model (epoch 9, total_iters 390000)
(epoch: 9, iters: 7252, time: 0.072, data: 0.007) G_GAN: 0.621 G_L1: 7.685 D_real: 0.119 D_fake: 0.023 
(epoch: 9, iters: 7352, time: 0.073, data: 0.007) G_GAN: 1.055 G_L1: 8.600 D_real: 0.031 D_fake: 0.146 
(epoch: 9, iters: 7452, time: 0.074, data: 0.007) G_GAN: 1.685 G_L1: 8.964 D_real: 0.678 D_fake: 0.448 
(epoch: 9, iters: 7552, time: 0.074, data: 0.006) G_GAN: 0.656 G_L1: 7.261 D_real: 0.101 D_fake: 0.016 
(epoch: 9, iters: 7652, time: 0.073, data: 0.007) G_GAN: 0.867 G_L1: 8.559 D_real: 0.020 D_fake: 0.053 
(epoch: 9, iters: 7752, time: 0.073, data: 0.006) G_GAN: 0.759 G_L1: 9.210 D_real: 0.147 D_fake: 0.051 
(epoch: 9, iters: 7852, time: 0.072, data: 0.007) G_GAN: 0.835 G_L1: 9.236 D_real: 0.044 D_fake: 0.049 
(epoch: 9, iters: 7952, time: 0.073, data: 0.007) G_GAN: 0.730 G_L1: 7.269 D_real: 0.037 D_fake: 0.077 
(epoch: 9, iters: 8052, time: 0.073, data: 0.008) G_GAN: 0.534 G_L1: 8.119 D_real: 0.079 D_fake: 0.074 
(epoch: 9, iters: 8152, time: 0.070, data: 0.007) G_GAN: 1.312 G_L1: 9.251 D_real: 0.023 D_fake: 0.163 
(epoch: 9, iters: 8252, time: 0.074, data: 0.007) G_GAN: 0.811 G_L1: 8.349 D_real: 0.014 D_fake: 0.093 
(epoch: 9, iters: 8352, time: 0.072, data: 0.007) G_GAN: 1.163 G_L1: 8.820 D_real: 0.065 D_fake: 0.041 
(epoch: 9, iters: 8452, time: 0.073, data: 0.006) G_GAN: 0.634 G_L1: 7.052 D_real: 0.281 D_fake: 0.030 
(epoch: 9, iters: 8552, time: 0.071, data: 0.011) G_GAN: 0.783 G_L1: 7.953 D_real: 0.015 D_fake: 0.052 
(epoch: 9, iters: 8652, time: 0.073, data: 0.009) G_GAN: 0.464 G_L1: 9.001 D_real: 0.092 D_fake: 0.036 
(epoch: 9, iters: 8752, time: 0.073, data: 0.006) G_GAN: 0.851 G_L1: 8.047 D_real: 0.015 D_fake: 0.058 
(epoch: 9, iters: 8852, time: 0.068, data: 0.010) G_GAN: 1.128 G_L1: 8.025 D_real: 0.018 D_fake: 0.096 
(epoch: 9, iters: 8952, time: 0.071, data: 0.008) G_GAN: 1.358 G_L1: 9.049 D_real: 0.023 D_fake: 0.057 
(epoch: 9, iters: 9052, time: 0.074, data: 0.009) G_GAN: 1.053 G_L1: 8.339 D_real: 0.032 D_fake: 0.124 
(epoch: 9, iters: 9152, time: 0.152, data: 0.007) G_GAN: 1.217 G_L1: 7.487 D_real: 0.026 D_fake: 0.155 
(epoch: 9, iters: 9252, time: 0.073, data: 0.011) G_GAN: 0.614 G_L1: 8.402 D_real: 0.082 D_fake: 0.033 
(epoch: 9, iters: 9352, time: 0.073, data: 0.012) G_GAN: 1.080 G_L1: 7.664 D_real: 0.039 D_fake: 0.149 
(epoch: 9, iters: 9452, time: 0.073, data: 0.006) G_GAN: 0.787 G_L1: 7.527 D_real: 0.050 D_fake: 0.019 
(epoch: 9, iters: 9552, time: 0.073, data: 0.007) G_GAN: 1.012 G_L1: 9.494 D_real: 0.017 D_fake: 0.052 
(epoch: 9, iters: 9652, time: 0.072, data: 0.006) G_GAN: 1.677 G_L1: 9.571 D_real: 0.069 D_fake: 0.031 
(epoch: 9, iters: 9752, time: 0.073, data: 0.006) G_GAN: 0.670 G_L1: 8.189 D_real: 0.027 D_fake: 0.497 
(epoch: 9, iters: 9852, time: 0.073, data: 0.007) G_GAN: 0.839 G_L1: 9.269 D_real: 0.363 D_fake: 0.083 
(epoch: 9, iters: 9952, time: 0.072, data: 0.006) G_GAN: 1.123 G_L1: 9.774 D_real: 0.090 D_fake: 0.079 
(epoch: 9, iters: 10052, time: 0.071, data: 0.008) G_GAN: 0.927 G_L1: 7.718 D_real: 0.018 D_fake: 0.046 
(epoch: 9, iters: 10152, time: 0.072, data: 0.009) G_GAN: 1.033 G_L1: 8.286 D_real: 0.015 D_fake: 0.247 
(epoch: 9, iters: 10252, time: 0.071, data: 0.007) G_GAN: 1.074 G_L1: 8.206 D_real: 0.024 D_fake: 0.034 
(epoch: 9, iters: 10352, time: 0.071, data: 0.010) G_GAN: 0.367 G_L1: 7.351 D_real: 0.261 D_fake: 0.017 
(epoch: 9, iters: 10452, time: 0.071, data: 0.021) G_GAN: 0.786 G_L1: 9.450 D_real: 0.044 D_fake: 0.011 
(epoch: 9, iters: 10552, time: 0.073, data: 0.010) G_GAN: 0.762 G_L1: 7.044 D_real: 0.071 D_fake: 0.015 
(epoch: 9, iters: 10652, time: 0.072, data: 0.012) G_GAN: 0.765 G_L1: 8.524 D_real: 0.115 D_fake: 0.018 
(epoch: 9, iters: 10752, time: 0.074, data: 0.005) G_GAN: 0.721 G_L1: 7.960 D_real: 0.025 D_fake: 0.022 
(epoch: 9, iters: 10852, time: 0.073, data: 0.006) G_GAN: 1.041 G_L1: 8.211 D_real: 0.022 D_fake: 0.132 
(epoch: 9, iters: 10952, time: 0.073, data: 0.008) G_GAN: 0.863 G_L1: 9.269 D_real: 0.017 D_fake: 0.015 
(epoch: 9, iters: 11052, time: 0.073, data: 0.008) G_GAN: 1.039 G_L1: 8.477 D_real: 0.067 D_fake: 0.016 
(epoch: 9, iters: 11152, time: 0.150, data: 0.007) G_GAN: 0.725 G_L1: 8.033 D_real: 0.112 D_fake: 0.012 
(epoch: 9, iters: 11252, time: 0.073, data: 0.009) G_GAN: 1.123 G_L1: 8.321 D_real: 0.016 D_fake: 0.077 
(epoch: 9, iters: 11352, time: 0.073, data: 0.005) G_GAN: 0.711 G_L1: 8.611 D_real: 0.081 D_fake: 0.020 
(epoch: 9, iters: 11452, time: 0.072, data: 0.006) G_GAN: 0.941 G_L1: 7.985 D_real: 0.014 D_fake: 0.093 
(epoch: 9, iters: 11552, time: 0.073, data: 0.007) G_GAN: 0.769 G_L1: 8.621 D_real: 0.016 D_fake: 0.096 
(epoch: 9, iters: 11652, time: 0.071, data: 0.005) G_GAN: 0.693 G_L1: 8.590 D_real: 0.348 D_fake: 0.020 
(epoch: 9, iters: 11752, time: 0.073, data: 0.008) G_GAN: 0.930 G_L1: 8.308 D_real: 0.021 D_fake: 0.053 
(epoch: 9, iters: 11852, time: 0.072, data: 0.007) G_GAN: 0.870 G_L1: 9.057 D_real: 0.099 D_fake: 0.014 
(epoch: 9, iters: 11952, time: 0.071, data: 0.011) G_GAN: 1.275 G_L1: 7.561 D_real: 0.025 D_fake: 0.057 
(epoch: 9, iters: 12052, time: 0.072, data: 0.008) G_GAN: 0.990 G_L1: 8.445 D_real: 0.154 D_fake: 0.152 
(epoch: 9, iters: 12152, time: 0.073, data: 0.009) G_GAN: 0.709 G_L1: 8.262 D_real: 0.025 D_fake: 0.045 
saving the latest model (epoch 9, total_iters 395000)
(epoch: 9, iters: 12252, time: 0.073, data: 0.009) G_GAN: 0.710 G_L1: 8.398 D_real: 0.279 D_fake: 0.050 
(epoch: 9, iters: 12352, time: 0.074, data: 0.012) G_GAN: 0.998 G_L1: 7.194 D_real: 0.124 D_fake: 0.030 
(epoch: 9, iters: 12452, time: 0.073, data: 0.008) G_GAN: 0.701 G_L1: 8.134 D_real: 0.019 D_fake: 0.031 
(epoch: 9, iters: 12552, time: 0.073, data: 0.005) G_GAN: 0.815 G_L1: 7.490 D_real: 0.015 D_fake: 0.043 
(epoch: 9, iters: 12652, time: 0.072, data: 0.007) G_GAN: 0.772 G_L1: 8.727 D_real: 0.092 D_fake: 0.010 
(epoch: 9, iters: 12752, time: 0.074, data: 0.012) G_GAN: 0.576 G_L1: 7.623 D_real: 0.049 D_fake: 0.085 
(epoch: 9, iters: 12852, time: 0.073, data: 0.008) G_GAN: 0.943 G_L1: 8.241 D_real: 0.037 D_fake: 0.013 
(epoch: 9, iters: 12952, time: 0.074, data: 0.011) G_GAN: 0.951 G_L1: 9.716 D_real: 0.046 D_fake: 0.044 
(epoch: 9, iters: 13052, time: 0.073, data: 0.006) G_GAN: 0.782 G_L1: 9.208 D_real: 0.053 D_fake: 0.012 
(epoch: 9, iters: 13152, time: 0.156, data: 0.010) G_GAN: 1.056 G_L1: 8.361 D_real: 0.190 D_fake: 0.030 
(epoch: 9, iters: 13252, time: 0.072, data: 0.006) G_GAN: 0.861 G_L1: 8.584 D_real: 0.116 D_fake: 0.016 
(epoch: 9, iters: 13352, time: 0.074, data: 0.011) G_GAN: 0.448 G_L1: 6.660 D_real: 0.066 D_fake: 0.106 
(epoch: 9, iters: 13452, time: 0.072, data: 0.009) G_GAN: 0.908 G_L1: 9.656 D_real: 0.017 D_fake: 0.064 
(epoch: 9, iters: 13552, time: 0.073, data: 0.010) G_GAN: 0.938 G_L1: 9.526 D_real: 0.111 D_fake: 0.025 
(epoch: 9, iters: 13652, time: 0.071, data: 0.011) G_GAN: 0.586 G_L1: 7.995 D_real: 0.045 D_fake: 0.241 
(epoch: 9, iters: 13752, time: 0.074, data: 0.009) G_GAN: 0.918 G_L1: 8.269 D_real: 0.129 D_fake: 0.063 
(epoch: 9, iters: 13852, time: 0.072, data: 0.007) G_GAN: 1.057 G_L1: 8.393 D_real: 0.018 D_fake: 0.010 
(epoch: 9, iters: 13952, time: 0.071, data: 0.007) G_GAN: 0.864 G_L1: 7.902 D_real: 0.020 D_fake: 0.063 
(epoch: 9, iters: 14052, time: 0.073, data: 0.007) G_GAN: 0.817 G_L1: 8.353 D_real: 0.018 D_fake: 0.124 
(epoch: 9, iters: 14152, time: 0.073, data: 0.011) G_GAN: 0.711 G_L1: 7.739 D_real: 0.040 D_fake: 0.026 
(epoch: 9, iters: 14252, time: 0.072, data: 0.008) G_GAN: 0.811 G_L1: 9.796 D_real: 0.025 D_fake: 0.048 
(epoch: 9, iters: 14352, time: 0.074, data: 0.006) G_GAN: 0.673 G_L1: 9.178 D_real: 0.030 D_fake: 0.024 
(epoch: 9, iters: 14452, time: 0.070, data: 0.007) G_GAN: 0.873 G_L1: 7.597 D_real: 0.185 D_fake: 0.067 
(epoch: 9, iters: 14552, time: 0.073, data: 0.007) G_GAN: 1.244 G_L1: 7.334 D_real: 0.308 D_fake: 0.111 
(epoch: 9, iters: 14652, time: 0.071, data: 0.007) G_GAN: 1.128 G_L1: 8.987 D_real: 0.054 D_fake: 0.082 
(epoch: 9, iters: 14752, time: 0.072, data: 0.008) G_GAN: 0.653 G_L1: 8.999 D_real: 0.069 D_fake: 0.037 
(epoch: 9, iters: 14852, time: 0.073, data: 0.008) G_GAN: 1.431 G_L1: 9.644 D_real: 0.214 D_fake: 0.244 
(epoch: 9, iters: 14952, time: 0.073, data: 0.006) G_GAN: 0.853 G_L1: 7.828 D_real: 0.021 D_fake: 0.020 
(epoch: 9, iters: 15052, time: 0.073, data: 0.007) G_GAN: 0.754 G_L1: 6.543 D_real: 0.024 D_fake: 0.033 
(epoch: 9, iters: 15152, time: 0.152, data: 0.006) G_GAN: 1.395 G_L1: 6.803 D_real: 0.426 D_fake: 0.088 
(epoch: 9, iters: 15252, time: 0.073, data: 0.007) G_GAN: 0.783 G_L1: 7.637 D_real: 0.398 D_fake: 0.144 
(epoch: 9, iters: 15352, time: 0.073, data: 0.006) G_GAN: 0.644 G_L1: 7.709 D_real: 0.019 D_fake: 0.030 
(epoch: 9, iters: 15452, time: 0.072, data: 0.008) G_GAN: 0.799 G_L1: 7.953 D_real: 0.024 D_fake: 0.164 
(epoch: 9, iters: 15552, time: 0.069, data: 0.007) G_GAN: 0.589 G_L1: 8.670 D_real: 0.480 D_fake: 0.015 
(epoch: 9, iters: 15652, time: 0.074, data: 0.010) G_GAN: 1.026 G_L1: 8.479 D_real: 0.039 D_fake: 0.014 
(epoch: 9, iters: 15752, time: 0.074, data: 0.009) G_GAN: 0.563 G_L1: 7.996 D_real: 0.041 D_fake: 0.083 
(epoch: 9, iters: 15852, time: 0.073, data: 0.011) G_GAN: 0.805 G_L1: 8.348 D_real: 0.097 D_fake: 0.010 
(epoch: 9, iters: 15952, time: 0.072, data: 0.007) G_GAN: 0.711 G_L1: 7.663 D_real: 0.067 D_fake: 0.020 
(epoch: 9, iters: 16052, time: 0.075, data: 0.007) G_GAN: 0.502 G_L1: 7.026 D_real: 0.219 D_fake: 0.020 
(epoch: 9, iters: 16152, time: 0.074, data: 0.007) G_GAN: 0.505 G_L1: 8.513 D_real: 0.073 D_fake: 0.047 
(epoch: 9, iters: 16252, time: 0.072, data: 0.008) G_GAN: 1.494 G_L1: 8.421 D_real: 0.053 D_fake: 0.146 
(epoch: 9, iters: 16352, time: 0.073, data: 0.010) G_GAN: 0.854 G_L1: 8.211 D_real: 0.116 D_fake: 0.011 
(epoch: 9, iters: 16452, time: 0.075, data: 0.006) G_GAN: 0.795 G_L1: 7.871 D_real: 0.021 D_fake: 0.052 
(epoch: 9, iters: 16552, time: 0.074, data: 0.010) G_GAN: 0.555 G_L1: 7.614 D_real: 0.147 D_fake: 0.024 
(epoch: 9, iters: 16652, time: 0.074, data: 0.014) G_GAN: 0.410 G_L1: 7.711 D_real: 0.278 D_fake: 0.018 
(epoch: 9, iters: 16752, time: 0.074, data: 0.010) G_GAN: 1.012 G_L1: 7.553 D_real: 0.018 D_fake: 0.035 
(epoch: 9, iters: 16852, time: 0.073, data: 0.006) G_GAN: 0.894 G_L1: 8.001 D_real: 0.049 D_fake: 0.068 
(epoch: 9, iters: 16952, time: 0.072, data: 0.006) G_GAN: 0.750 G_L1: 8.737 D_real: 0.096 D_fake: 0.012 
(epoch: 9, iters: 17052, time: 0.072, data: 0.009) G_GAN: 1.226 G_L1: 8.904 D_real: 0.126 D_fake: 0.242 
(epoch: 9, iters: 17152, time: 0.154, data: 0.006) G_GAN: 0.664 G_L1: 9.089 D_real: 0.198 D_fake: 0.029 
saving the latest model (epoch 9, total_iters 400000)
(epoch: 9, iters: 17252, time: 0.071, data: 0.009) G_GAN: 0.709 G_L1: 8.788 D_real: 0.103 D_fake: 0.012 
(epoch: 9, iters: 17352, time: 0.072, data: 0.006) G_GAN: 0.673 G_L1: 8.506 D_real: 0.137 D_fake: 0.024 
(epoch: 9, iters: 17452, time: 0.074, data: 0.007) G_GAN: 0.526 G_L1: 8.246 D_real: 0.102 D_fake: 0.028 
(epoch: 9, iters: 17552, time: 0.072, data: 0.012) G_GAN: 0.579 G_L1: 8.502 D_real: 0.103 D_fake: 0.014 
(epoch: 9, iters: 17652, time: 0.070, data: 0.009) G_GAN: 0.847 G_L1: 9.545 D_real: 0.050 D_fake: 0.023 
(epoch: 9, iters: 17752, time: 0.073, data: 0.006) G_GAN: 0.880 G_L1: 7.827 D_real: 0.024 D_fake: 0.013 
(epoch: 9, iters: 17852, time: 0.073, data: 0.010) G_GAN: 0.902 G_L1: 7.573 D_real: 0.401 D_fake: 0.019 
(epoch: 9, iters: 17952, time: 0.073, data: 0.011) G_GAN: 0.802 G_L1: 8.270 D_real: 0.130 D_fake: 0.016 
(epoch: 9, iters: 18052, time: 0.071, data: 0.006) G_GAN: 1.227 G_L1: 8.627 D_real: 0.026 D_fake: 0.031 
(epoch: 9, iters: 18152, time: 0.071, data: 0.007) G_GAN: 0.849 G_L1: 8.188 D_real: 0.071 D_fake: 0.029 
(epoch: 9, iters: 18252, time: 0.070, data: 0.010) G_GAN: 0.708 G_L1: 7.293 D_real: 0.020 D_fake: 0.191 
(epoch: 9, iters: 18352, time: 0.072, data: 0.006) G_GAN: 1.307 G_L1: 7.849 D_real: 0.058 D_fake: 0.175 
(epoch: 9, iters: 18452, time: 0.073, data: 0.009) G_GAN: 0.734 G_L1: 8.980 D_real: 0.057 D_fake: 0.114 
(epoch: 9, iters: 18552, time: 0.073, data: 0.009) G_GAN: 1.073 G_L1: 8.217 D_real: 0.135 D_fake: 0.039 
(epoch: 9, iters: 18652, time: 0.072, data: 0.007) G_GAN: 0.928 G_L1: 9.155 D_real: 0.015 D_fake: 0.122 
(epoch: 9, iters: 18752, time: 0.071, data: 0.006) G_GAN: 0.809 G_L1: 8.591 D_real: 0.164 D_fake: 0.051 
(epoch: 9, iters: 18852, time: 0.072, data: 0.006) G_GAN: 1.015 G_L1: 7.612 D_real: 0.067 D_fake: 0.025 
(epoch: 9, iters: 18952, time: 0.073, data: 0.006) G_GAN: 0.792 G_L1: 8.725 D_real: 0.013 D_fake: 0.151 
(epoch: 9, iters: 19052, time: 0.070, data: 0.007) G_GAN: 1.057 G_L1: 8.554 D_real: 0.023 D_fake: 0.038 
(epoch: 9, iters: 19152, time: 0.154, data: 0.006) G_GAN: 0.716 G_L1: 8.127 D_real: 0.086 D_fake: 0.034 
(epoch: 9, iters: 19252, time: 0.073, data: 0.008) G_GAN: 0.558 G_L1: 6.811 D_real: 0.161 D_fake: 0.017 
(epoch: 9, iters: 19352, time: 0.073, data: 0.009) G_GAN: 0.900 G_L1: 8.319 D_real: 0.016 D_fake: 0.075 
(epoch: 9, iters: 19452, time: 0.072, data: 0.010) G_GAN: 0.805 G_L1: 7.968 D_real: 0.040 D_fake: 0.211 
(epoch: 9, iters: 19552, time: 0.072, data: 0.009) G_GAN: 0.909 G_L1: 7.831 D_real: 0.017 D_fake: 0.178 
(epoch: 9, iters: 19652, time: 0.072, data: 0.007) G_GAN: 1.038 G_L1: 7.842 D_real: 0.022 D_fake: 0.076 
(epoch: 9, iters: 19752, time: 0.072, data: 0.011) G_GAN: 0.669 G_L1: 6.744 D_real: 0.220 D_fake: 0.014 
(epoch: 9, iters: 19852, time: 0.073, data: 0.009) G_GAN: 0.875 G_L1: 7.921 D_real: 0.064 D_fake: 0.015 
(epoch: 9, iters: 19952, time: 0.074, data: 0.009) G_GAN: 1.002 G_L1: 7.558 D_real: 0.037 D_fake: 0.051 
(epoch: 9, iters: 20052, time: 0.072, data: 0.008) G_GAN: 0.872 G_L1: 9.553 D_real: 0.151 D_fake: 0.154 
(epoch: 9, iters: 20152, time: 0.074, data: 0.008) G_GAN: 1.052 G_L1: 8.311 D_real: 0.026 D_fake: 0.053 
(epoch: 9, iters: 20252, time: 0.074, data: 0.008) G_GAN: 0.382 G_L1: 7.456 D_real: 0.345 D_fake: 0.011 
(epoch: 9, iters: 20352, time: 0.072, data: 0.006) G_GAN: 0.997 G_L1: 8.366 D_real: 0.053 D_fake: 0.012 
(epoch: 9, iters: 20452, time: 0.071, data: 0.007) G_GAN: 0.787 G_L1: 8.781 D_real: 0.034 D_fake: 0.063 
(epoch: 9, iters: 20552, time: 0.072, data: 0.007) G_GAN: 0.219 G_L1: 8.334 D_real: 0.357 D_fake: 0.021 
(epoch: 9, iters: 20652, time: 0.071, data: 0.007) G_GAN: 0.993 G_L1: 7.162 D_real: 0.029 D_fake: 0.127 
(epoch: 9, iters: 20752, time: 0.072, data: 0.006) G_GAN: 0.566 G_L1: 7.195 D_real: 0.058 D_fake: 0.032 
(epoch: 9, iters: 20852, time: 0.072, data: 0.008) G_GAN: 0.762 G_L1: 8.978 D_real: 0.080 D_fake: 0.014 
(epoch: 9, iters: 20952, time: 0.073, data: 0.010) G_GAN: 1.075 G_L1: 7.697 D_real: 0.046 D_fake: 0.134 
(epoch: 9, iters: 21052, time: 0.072, data: 0.008) G_GAN: 0.600 G_L1: 7.548 D_real: 0.253 D_fake: 0.011 
(epoch: 9, iters: 21152, time: 0.163, data: 0.010) G_GAN: 0.502 G_L1: 7.736 D_real: 0.115 D_fake: 0.022 
(epoch: 9, iters: 21252, time: 0.071, data: 0.006) G_GAN: 0.570 G_L1: 7.743 D_real: 0.051 D_fake: 0.022 
(epoch: 9, iters: 21352, time: 0.072, data: 0.007) G_GAN: 1.119 G_L1: 9.241 D_real: 0.035 D_fake: 0.049 
(epoch: 9, iters: 21452, time: 0.073, data: 0.007) G_GAN: 0.810 G_L1: 7.997 D_real: 0.019 D_fake: 0.037 
(epoch: 9, iters: 21552, time: 0.073, data: 0.010) G_GAN: 0.974 G_L1: 8.180 D_real: 0.044 D_fake: 0.040 
(epoch: 9, iters: 21652, time: 0.071, data: 0.010) G_GAN: 1.072 G_L1: 7.715 D_real: 0.023 D_fake: 0.327 
(epoch: 9, iters: 21752, time: 0.073, data: 0.007) G_GAN: 0.983 G_L1: 7.803 D_real: 0.081 D_fake: 0.043 
(epoch: 9, iters: 21852, time: 0.074, data: 0.009) G_GAN: 0.956 G_L1: 8.630 D_real: 0.042 D_fake: 0.027 
(epoch: 9, iters: 21952, time: 0.073, data: 0.006) G_GAN: 0.834 G_L1: 8.321 D_real: 0.093 D_fake: 0.012 
(epoch: 9, iters: 22052, time: 0.073, data: 0.007) G_GAN: 0.930 G_L1: 7.860 D_real: 0.023 D_fake: 0.075 
(epoch: 9, iters: 22152, time: 0.073, data: 0.008) G_GAN: 0.601 G_L1: 9.186 D_real: 0.129 D_fake: 0.037 
saving the latest model (epoch 9, total_iters 405000)
(epoch: 9, iters: 22252, time: 0.072, data: 0.009) G_GAN: 0.853 G_L1: 8.270 D_real: 0.027 D_fake: 0.033 
(epoch: 9, iters: 22352, time: 0.072, data: 0.006) G_GAN: 0.677 G_L1: 8.493 D_real: 0.134 D_fake: 0.011 
(epoch: 9, iters: 22452, time: 0.072, data: 0.010) G_GAN: 1.071 G_L1: 8.557 D_real: 0.020 D_fake: 0.078 
(epoch: 9, iters: 22552, time: 0.074, data: 0.008) G_GAN: 0.282 G_L1: 7.422 D_real: 0.200 D_fake: 0.019 
(epoch: 9, iters: 22652, time: 0.072, data: 0.006) G_GAN: 1.342 G_L1: 8.306 D_real: 0.039 D_fake: 0.020 
(epoch: 9, iters: 22752, time: 0.072, data: 0.006) G_GAN: 0.696 G_L1: 7.495 D_real: 0.161 D_fake: 0.051 
(epoch: 9, iters: 22852, time: 0.072, data: 0.011) G_GAN: 0.448 G_L1: 7.423 D_real: 0.185 D_fake: 0.019 
(epoch: 9, iters: 22952, time: 0.073, data: 0.005) G_GAN: 0.874 G_L1: 7.048 D_real: 0.016 D_fake: 0.098 
(epoch: 9, iters: 23052, time: 0.073, data: 0.007) G_GAN: 0.773 G_L1: 7.974 D_real: 0.019 D_fake: 0.108 
(epoch: 9, iters: 23152, time: 0.151, data: 0.006) G_GAN: 0.872 G_L1: 7.588 D_real: 0.075 D_fake: 0.011 
(epoch: 9, iters: 23252, time: 0.073, data: 0.009) G_GAN: 0.821 G_L1: 8.720 D_real: 0.061 D_fake: 0.016 
(epoch: 9, iters: 23352, time: 0.072, data: 0.006) G_GAN: 0.926 G_L1: 7.543 D_real: 0.059 D_fake: 0.025 
(epoch: 9, iters: 23452, time: 0.073, data: 0.007) G_GAN: 0.442 G_L1: 7.119 D_real: 0.231 D_fake: 0.042 
(epoch: 9, iters: 23552, time: 0.073, data: 0.008) G_GAN: 0.906 G_L1: 7.905 D_real: 0.082 D_fake: 0.014 
(epoch: 9, iters: 23652, time: 0.074, data: 0.007) G_GAN: 0.776 G_L1: 8.597 D_real: 0.041 D_fake: 0.015 
(epoch: 9, iters: 23752, time: 0.072, data: 0.008) G_GAN: 0.727 G_L1: 7.020 D_real: 0.050 D_fake: 0.039 
(epoch: 9, iters: 23852, time: 0.074, data: 0.011) G_GAN: 0.812 G_L1: 7.845 D_real: 0.018 D_fake: 0.011 
(epoch: 9, iters: 23952, time: 0.073, data: 0.006) G_GAN: 0.673 G_L1: 7.088 D_real: 0.040 D_fake: 0.048 
(epoch: 9, iters: 24052, time: 0.072, data: 0.009) G_GAN: 0.997 G_L1: 8.990 D_real: 0.015 D_fake: 0.027 
(epoch: 9, iters: 24152, time: 0.072, data: 0.011) G_GAN: 0.764 G_L1: 9.125 D_real: 0.060 D_fake: 0.017 
(epoch: 9, iters: 24252, time: 0.074, data: 0.008) G_GAN: 0.750 G_L1: 7.295 D_real: 0.046 D_fake: 0.013 
(epoch: 9, iters: 24352, time: 0.071, data: 0.006) G_GAN: 0.288 G_L1: 7.438 D_real: 0.535 D_fake: 0.014 
(epoch: 9, iters: 24452, time: 0.072, data: 0.007) G_GAN: 0.921 G_L1: 6.816 D_real: 0.024 D_fake: 0.138 
(epoch: 9, iters: 24552, time: 0.072, data: 0.009) G_GAN: 0.752 G_L1: 8.963 D_real: 0.077 D_fake: 0.013 
(epoch: 9, iters: 24652, time: 0.073, data: 0.007) G_GAN: 1.122 G_L1: 6.920 D_real: 0.044 D_fake: 0.145 
(epoch: 9, iters: 24752, time: 0.073, data: 0.014) G_GAN: 0.535 G_L1: 6.766 D_real: 0.343 D_fake: 0.122 
(epoch: 9, iters: 24852, time: 0.073, data: 0.009) G_GAN: 0.940 G_L1: 9.729 D_real: 0.016 D_fake: 0.032 
(epoch: 9, iters: 24952, time: 0.073, data: 0.018) G_GAN: 0.842 G_L1: 8.280 D_real: 0.017 D_fake: 0.032 
(epoch: 9, iters: 25052, time: 0.073, data: 0.009) G_GAN: 0.902 G_L1: 8.364 D_real: 0.025 D_fake: 0.012 
(epoch: 9, iters: 25152, time: 0.149, data: 0.010) G_GAN: 0.700 G_L1: 8.287 D_real: 0.106 D_fake: 0.058 
(epoch: 9, iters: 25252, time: 0.073, data: 0.009) G_GAN: 1.672 G_L1: 9.072 D_real: 0.024 D_fake: 0.212 
(epoch: 9, iters: 25352, time: 0.073, data: 0.007) G_GAN: 0.888 G_L1: 7.739 D_real: 0.130 D_fake: 0.245 
(epoch: 9, iters: 25452, time: 0.074, data: 0.013) G_GAN: 1.207 G_L1: 8.018 D_real: 0.053 D_fake: 0.033 
(epoch: 9, iters: 25552, time: 0.073, data: 0.006) G_GAN: 0.870 G_L1: 7.903 D_real: 0.102 D_fake: 0.010 
(epoch: 9, iters: 25652, time: 0.072, data: 0.007) G_GAN: 0.837 G_L1: 8.465 D_real: 0.064 D_fake: 0.026 
(epoch: 9, iters: 25752, time: 0.072, data: 0.005) G_GAN: 0.985 G_L1: 8.296 D_real: 0.020 D_fake: 0.017 
(epoch: 9, iters: 25852, time: 0.074, data: 0.006) G_GAN: 1.258 G_L1: 8.579 D_real: 0.037 D_fake: 0.149 
(epoch: 9, iters: 25952, time: 0.071, data: 0.009) G_GAN: 0.901 G_L1: 7.529 D_real: 0.017 D_fake: 0.157 
(epoch: 9, iters: 26052, time: 0.072, data: 0.007) G_GAN: 0.870 G_L1: 8.205 D_real: 0.028 D_fake: 0.089 
(epoch: 9, iters: 26152, time: 0.072, data: 0.007) G_GAN: 1.118 G_L1: 8.553 D_real: 0.017 D_fake: 0.056 
(epoch: 9, iters: 26252, time: 0.072, data: 0.006) G_GAN: 1.166 G_L1: 9.530 D_real: 0.026 D_fake: 0.016 
(epoch: 9, iters: 26352, time: 0.072, data: 0.006) G_GAN: 0.663 G_L1: 7.984 D_real: 0.138 D_fake: 0.090 
(epoch: 9, iters: 26452, time: 0.072, data: 0.006) G_GAN: 1.202 G_L1: 6.833 D_real: 0.028 D_fake: 0.075 
(epoch: 9, iters: 26552, time: 0.073, data: 0.006) G_GAN: 0.783 G_L1: 8.995 D_real: 0.021 D_fake: 0.034 
(epoch: 9, iters: 26652, time: 0.074, data: 0.011) G_GAN: 0.521 G_L1: 8.401 D_real: 0.036 D_fake: 0.098 
(epoch: 9, iters: 26752, time: 0.072, data: 0.006) G_GAN: 0.666 G_L1: 8.374 D_real: 0.015 D_fake: 0.081 
(epoch: 9, iters: 26852, time: 0.072, data: 0.007) G_GAN: 1.234 G_L1: 9.245 D_real: 0.062 D_fake: 0.070 
(epoch: 9, iters: 26952, time: 0.074, data: 0.007) G_GAN: 0.720 G_L1: 8.525 D_real: 0.015 D_fake: 0.075 
(epoch: 9, iters: 27052, time: 0.073, data: 0.006) G_GAN: 0.790 G_L1: 8.009 D_real: 0.027 D_fake: 0.020 
(epoch: 9, iters: 27152, time: 0.149, data: 0.006) G_GAN: 0.780 G_L1: 8.474 D_real: 0.046 D_fake: 0.017 
saving the latest model (epoch 9, total_iters 410000)
(epoch: 9, iters: 27252, time: 0.073, data: 0.007) G_GAN: 0.506 G_L1: 7.939 D_real: 0.086 D_fake: 0.067 
(epoch: 9, iters: 27352, time: 0.074, data: 0.006) G_GAN: 0.301 G_L1: 7.729 D_real: 0.978 D_fake: 0.049 
(epoch: 9, iters: 27452, time: 0.072, data: 0.006) G_GAN: 1.057 G_L1: 8.288 D_real: 0.018 D_fake: 0.013 
(epoch: 9, iters: 27552, time: 0.074, data: 0.006) G_GAN: 0.857 G_L1: 6.726 D_real: 0.126 D_fake: 0.023 
(epoch: 9, iters: 27652, time: 0.076, data: 0.010) G_GAN: 0.720 G_L1: 8.809 D_real: 0.069 D_fake: 0.017 
(epoch: 9, iters: 27752, time: 0.071, data: 0.007) G_GAN: 0.766 G_L1: 8.075 D_real: 0.024 D_fake: 0.144 
(epoch: 9, iters: 27852, time: 0.073, data: 0.006) G_GAN: 0.714 G_L1: 8.540 D_real: 0.200 D_fake: 0.013 
(epoch: 9, iters: 27952, time: 0.074, data: 0.007) G_GAN: 1.143 G_L1: 10.805 D_real: 0.038 D_fake: 0.033 
(epoch: 9, iters: 28052, time: 0.072, data: 0.009) G_GAN: 0.910 G_L1: 9.630 D_real: 0.019 D_fake: 0.014 
(epoch: 9, iters: 28152, time: 0.072, data: 0.007) G_GAN: 0.637 G_L1: 7.619 D_real: 0.137 D_fake: 0.011 
(epoch: 9, iters: 28252, time: 0.074, data: 0.009) G_GAN: 1.384 G_L1: 7.161 D_real: 0.305 D_fake: 0.017 
(epoch: 9, iters: 28352, time: 0.072, data: 0.006) G_GAN: 0.729 G_L1: 6.963 D_real: 0.182 D_fake: 0.023 
(epoch: 9, iters: 28452, time: 0.074, data: 0.010) G_GAN: 0.937 G_L1: 6.914 D_real: 0.015 D_fake: 0.025 
(epoch: 9, iters: 28552, time: 0.074, data: 0.012) G_GAN: 0.930 G_L1: 7.692 D_real: 0.112 D_fake: 0.182 
(epoch: 9, iters: 28652, time: 0.072, data: 0.009) G_GAN: 1.179 G_L1: 9.706 D_real: 0.051 D_fake: 0.059 
(epoch: 9, iters: 28752, time: 0.073, data: 0.011) G_GAN: 0.785 G_L1: 8.056 D_real: 0.035 D_fake: 0.045 
(epoch: 9, iters: 28852, time: 0.075, data: 0.006) G_GAN: 0.688 G_L1: 7.117 D_real: 0.050 D_fake: 0.118 
(epoch: 9, iters: 28952, time: 0.074, data: 0.006) G_GAN: 0.762 G_L1: 8.481 D_real: 0.025 D_fake: 0.019 
(epoch: 9, iters: 29052, time: 0.073, data: 0.006) G_GAN: 0.737 G_L1: 7.899 D_real: 0.021 D_fake: 0.063 
(epoch: 9, iters: 29152, time: 0.148, data: 0.006) G_GAN: 0.735 G_L1: 7.018 D_real: 0.037 D_fake: 0.052 
(epoch: 9, iters: 29252, time: 0.072, data: 0.006) G_GAN: 0.821 G_L1: 8.177 D_real: 0.209 D_fake: 0.013 
(epoch: 9, iters: 29352, time: 0.072, data: 0.012) G_GAN: 0.781 G_L1: 9.601 D_real: 0.021 D_fake: 0.029 
(epoch: 9, iters: 29452, time: 0.073, data: 0.007) G_GAN: 1.007 G_L1: 7.658 D_real: 0.243 D_fake: 0.014 
(epoch: 9, iters: 29552, time: 0.071, data: 0.009) G_GAN: 0.978 G_L1: 8.912 D_real: 0.023 D_fake: 0.091 
(epoch: 9, iters: 29652, time: 0.069, data: 0.007) G_GAN: 0.848 G_L1: 8.021 D_real: 0.028 D_fake: 0.031 
(epoch: 9, iters: 29752, time: 0.071, data: 0.008) G_GAN: 0.195 G_L1: 8.138 D_real: 0.411 D_fake: 0.049 
(epoch: 9, iters: 29852, time: 0.073, data: 0.009) G_GAN: 1.037 G_L1: 8.634 D_real: 0.013 D_fake: 0.105 
(epoch: 9, iters: 29952, time: 0.071, data: 0.008) G_GAN: 1.012 G_L1: 7.667 D_real: 0.164 D_fake: 0.033 
(epoch: 9, iters: 30052, time: 0.071, data: 0.007) G_GAN: 0.936 G_L1: 8.918 D_real: 0.025 D_fake: 0.035 
(epoch: 9, iters: 30152, time: 0.072, data: 0.010) G_GAN: 0.774 G_L1: 9.118 D_real: 0.134 D_fake: 0.011 
(epoch: 9, iters: 30252, time: 0.072, data: 0.007) G_GAN: 0.865 G_L1: 7.592 D_real: 0.061 D_fake: 0.087 
(epoch: 9, iters: 30352, time: 0.070, data: 0.006) G_GAN: 0.738 G_L1: 8.350 D_real: 0.069 D_fake: 0.027 
(epoch: 9, iters: 30452, time: 0.072, data: 0.009) G_GAN: 0.877 G_L1: 8.335 D_real: 0.036 D_fake: 0.023 
(epoch: 9, iters: 30552, time: 0.072, data: 0.011) G_GAN: 0.877 G_L1: 8.651 D_real: 0.026 D_fake: 0.073 
(epoch: 9, iters: 30652, time: 0.073, data: 0.010) G_GAN: 1.018 G_L1: 7.499 D_real: 0.017 D_fake: 0.143 
(epoch: 9, iters: 30752, time: 0.073, data: 0.010) G_GAN: 1.011 G_L1: 7.762 D_real: 0.020 D_fake: 0.217 
(epoch: 9, iters: 30852, time: 0.073, data: 0.010) G_GAN: 1.226 G_L1: 8.035 D_real: 0.019 D_fake: 0.025 
(epoch: 9, iters: 30952, time: 0.074, data: 0.007) G_GAN: 0.749 G_L1: 8.322 D_real: 0.075 D_fake: 0.021 
(epoch: 9, iters: 31052, time: 0.074, data: 0.007) G_GAN: 1.291 G_L1: 9.109 D_real: 0.026 D_fake: 0.074 
(epoch: 9, iters: 31152, time: 0.147, data: 0.007) G_GAN: 1.111 G_L1: 8.534 D_real: 0.085 D_fake: 0.014 
(epoch: 9, iters: 31252, time: 0.071, data: 0.009) G_GAN: 1.560 G_L1: 8.869 D_real: 0.102 D_fake: 0.165 
(epoch: 9, iters: 31352, time: 0.071, data: 0.013) G_GAN: 0.872 G_L1: 7.846 D_real: 0.296 D_fake: 0.017 
(epoch: 9, iters: 31452, time: 0.072, data: 0.008) G_GAN: 0.935 G_L1: 7.987 D_real: 0.041 D_fake: 0.049 
(epoch: 9, iters: 31552, time: 0.072, data: 0.006) G_GAN: 0.915 G_L1: 7.240 D_real: 0.018 D_fake: 0.080 
(epoch: 9, iters: 31652, time: 0.071, data: 0.012) G_GAN: 0.794 G_L1: 8.911 D_real: 0.028 D_fake: 0.087 
(epoch: 9, iters: 31752, time: 0.071, data: 0.009) G_GAN: 0.863 G_L1: 8.469 D_real: 0.045 D_fake: 0.018 
(epoch: 9, iters: 31852, time: 0.072, data: 0.019) G_GAN: 0.928 G_L1: 7.865 D_real: 0.022 D_fake: 0.215 
(epoch: 9, iters: 31952, time: 0.073, data: 0.009) G_GAN: 0.901 G_L1: 7.583 D_real: 0.015 D_fake: 0.013 
(epoch: 9, iters: 32052, time: 0.073, data: 0.007) G_GAN: 0.719 G_L1: 7.490 D_real: 0.060 D_fake: 0.022 
(epoch: 9, iters: 32152, time: 0.073, data: 0.006) G_GAN: 0.699 G_L1: 7.722 D_real: 0.050 D_fake: 0.061 
saving the latest model (epoch 9, total_iters 415000)
(epoch: 9, iters: 32252, time: 0.073, data: 0.007) G_GAN: 1.056 G_L1: 9.394 D_real: 0.023 D_fake: 0.079 
(epoch: 9, iters: 32352, time: 0.074, data: 0.009) G_GAN: 0.777 G_L1: 7.927 D_real: 0.035 D_fake: 0.031 
(epoch: 9, iters: 32452, time: 0.072, data: 0.006) G_GAN: 0.712 G_L1: 8.636 D_real: 0.062 D_fake: 0.043 
(epoch: 9, iters: 32552, time: 0.072, data: 0.010) G_GAN: 0.851 G_L1: 8.640 D_real: 0.021 D_fake: 0.116 
(epoch: 9, iters: 32652, time: 0.073, data: 0.007) G_GAN: 0.874 G_L1: 9.478 D_real: 0.027 D_fake: 0.012 
(epoch: 9, iters: 32752, time: 0.073, data: 0.007) G_GAN: 0.702 G_L1: 7.570 D_real: 0.129 D_fake: 0.015 
(epoch: 9, iters: 32852, time: 0.072, data: 0.011) G_GAN: 0.784 G_L1: 7.269 D_real: 0.052 D_fake: 0.050 
(epoch: 9, iters: 32952, time: 0.073, data: 0.006) G_GAN: 0.751 G_L1: 9.583 D_real: 0.028 D_fake: 0.012 
(epoch: 9, iters: 33052, time: 0.070, data: 0.007) G_GAN: 1.120 G_L1: 9.845 D_real: 0.018 D_fake: 0.045 
(epoch: 9, iters: 33152, time: 0.153, data: 0.013) G_GAN: 0.943 G_L1: 8.685 D_real: 0.046 D_fake: 0.026 
(epoch: 9, iters: 33252, time: 0.070, data: 0.009) G_GAN: 0.529 G_L1: 7.518 D_real: 0.113 D_fake: 0.057 
(epoch: 9, iters: 33352, time: 0.073, data: 0.008) G_GAN: 1.034 G_L1: 7.924 D_real: 0.031 D_fake: 0.332 
(epoch: 9, iters: 33452, time: 0.072, data: 0.008) G_GAN: 0.480 G_L1: 8.160 D_real: 0.131 D_fake: 0.024 
(epoch: 9, iters: 33552, time: 0.073, data: 0.007) G_GAN: 0.688 G_L1: 7.996 D_real: 0.132 D_fake: 0.015 
(epoch: 9, iters: 33652, time: 0.073, data: 0.007) G_GAN: 0.768 G_L1: 7.608 D_real: 0.358 D_fake: 0.017 
(epoch: 9, iters: 33752, time: 0.072, data: 0.008) G_GAN: 1.153 G_L1: 9.865 D_real: 0.031 D_fake: 0.049 
(epoch: 9, iters: 33852, time: 0.073, data: 0.005) G_GAN: 1.077 G_L1: 8.408 D_real: 0.025 D_fake: 0.040 
(epoch: 9, iters: 33952, time: 0.072, data: 0.011) G_GAN: 0.996 G_L1: 7.765 D_real: 0.045 D_fake: 0.034 
(epoch: 9, iters: 34052, time: 0.072, data: 0.006) G_GAN: 1.241 G_L1: 8.899 D_real: 0.167 D_fake: 0.236 
(epoch: 9, iters: 34152, time: 0.073, data: 0.008) G_GAN: 0.729 G_L1: 8.646 D_real: 0.109 D_fake: 0.027 
(epoch: 9, iters: 34252, time: 0.074, data: 0.006) G_GAN: 0.891 G_L1: 8.037 D_real: 0.094 D_fake: 0.056 
(epoch: 9, iters: 34352, time: 0.073, data: 0.012) G_GAN: 0.966 G_L1: 6.945 D_real: 0.034 D_fake: 0.063 
(epoch: 9, iters: 34452, time: 0.071, data: 0.008) G_GAN: 0.724 G_L1: 8.553 D_real: 0.021 D_fake: 0.086 
(epoch: 9, iters: 34552, time: 0.074, data: 0.007) G_GAN: 1.256 G_L1: 9.453 D_real: 0.032 D_fake: 0.037 
(epoch: 9, iters: 34652, time: 0.073, data: 0.006) G_GAN: 1.035 G_L1: 8.099 D_real: 0.051 D_fake: 0.015 
(epoch: 9, iters: 34752, time: 0.073, data: 0.008) G_GAN: 1.078 G_L1: 8.084 D_real: 0.024 D_fake: 0.057 
(epoch: 9, iters: 34852, time: 0.074, data: 0.006) G_GAN: 0.796 G_L1: 7.395 D_real: 0.104 D_fake: 0.065 
(epoch: 9, iters: 34952, time: 0.072, data: 0.006) G_GAN: 0.807 G_L1: 7.709 D_real: 0.094 D_fake: 0.014 
(epoch: 9, iters: 35052, time: 0.073, data: 0.006) G_GAN: 0.821 G_L1: 7.214 D_real: 0.054 D_fake: 0.016 
(epoch: 9, iters: 35152, time: 0.156, data: 0.010) G_GAN: 0.490 G_L1: 7.978 D_real: 0.206 D_fake: 0.040 
(epoch: 9, iters: 35252, time: 0.068, data: 0.007) G_GAN: 1.398 G_L1: 7.812 D_real: 0.022 D_fake: 0.180 
(epoch: 9, iters: 35352, time: 0.073, data: 0.011) G_GAN: 1.150 G_L1: 9.635 D_real: 0.029 D_fake: 0.105 
(epoch: 9, iters: 35452, time: 0.074, data: 0.010) G_GAN: 1.016 G_L1: 8.544 D_real: 0.040 D_fake: 0.054 
(epoch: 9, iters: 35552, time: 0.072, data: 0.007) G_GAN: 0.843 G_L1: 8.103 D_real: 0.198 D_fake: 0.018 
(epoch: 9, iters: 35652, time: 0.072, data: 0.006) G_GAN: 1.044 G_L1: 7.292 D_real: 0.018 D_fake: 0.065 
(epoch: 9, iters: 35752, time: 0.073, data: 0.007) G_GAN: 0.947 G_L1: 8.159 D_real: 0.033 D_fake: 0.187 
(epoch: 9, iters: 35852, time: 0.072, data: 0.006) G_GAN: 0.929 G_L1: 9.691 D_real: 0.026 D_fake: 0.117 
(epoch: 9, iters: 35952, time: 0.073, data: 0.008) G_GAN: 0.903 G_L1: 8.533 D_real: 0.018 D_fake: 0.088 
(epoch: 9, iters: 36052, time: 0.074, data: 0.008) G_GAN: 1.688 G_L1: 7.467 D_real: 0.032 D_fake: 0.380 
(epoch: 9, iters: 36152, time: 0.074, data: 0.006) G_GAN: 0.803 G_L1: 8.450 D_real: 0.015 D_fake: 0.052 
(epoch: 9, iters: 36252, time: 0.073, data: 0.010) G_GAN: 0.812 G_L1: 8.375 D_real: 0.080 D_fake: 0.028 
(epoch: 9, iters: 36352, time: 0.073, data: 0.007) G_GAN: 0.873 G_L1: 7.726 D_real: 0.054 D_fake: 0.028 
(epoch: 9, iters: 36452, time: 0.071, data: 0.006) G_GAN: 1.316 G_L1: 8.209 D_real: 0.018 D_fake: 0.206 
(epoch: 9, iters: 36552, time: 0.073, data: 0.006) G_GAN: 1.027 G_L1: 8.227 D_real: 0.015 D_fake: 0.060 
(epoch: 9, iters: 36652, time: 0.073, data: 0.009) G_GAN: 0.646 G_L1: 7.132 D_real: 0.114 D_fake: 0.021 
(epoch: 9, iters: 36752, time: 0.072, data: 0.007) G_GAN: 0.757 G_L1: 8.002 D_real: 0.219 D_fake: 0.016 
(epoch: 9, iters: 36852, time: 0.071, data: 0.009) G_GAN: 0.561 G_L1: 8.039 D_real: 0.044 D_fake: 0.023 
(epoch: 9, iters: 36952, time: 0.071, data: 0.008) G_GAN: 0.892 G_L1: 9.607 D_real: 0.067 D_fake: 0.025 
(epoch: 9, iters: 37052, time: 0.073, data: 0.009) G_GAN: 0.948 G_L1: 7.485 D_real: 0.044 D_fake: 0.012 
(epoch: 9, iters: 37152, time: 0.149, data: 0.011) G_GAN: 0.941 G_L1: 8.380 D_real: 0.057 D_fake: 0.144 
saving the latest model (epoch 9, total_iters 420000)
(epoch: 9, iters: 37252, time: 0.073, data: 0.006) G_GAN: 0.720 G_L1: 7.450 D_real: 0.052 D_fake: 0.054 
(epoch: 9, iters: 37352, time: 0.073, data: 0.008) G_GAN: 0.631 G_L1: 9.657 D_real: 0.111 D_fake: 0.081 
(epoch: 9, iters: 37452, time: 0.073, data: 0.007) G_GAN: 0.666 G_L1: 8.344 D_real: 0.071 D_fake: 0.036 
(epoch: 9, iters: 37552, time: 0.074, data: 0.008) G_GAN: 0.607 G_L1: 8.080 D_real: 0.037 D_fake: 0.014 
(epoch: 9, iters: 37652, time: 0.073, data: 0.010) G_GAN: 0.701 G_L1: 7.400 D_real: 0.064 D_fake: 0.024 
(epoch: 9, iters: 37752, time: 0.072, data: 0.007) G_GAN: 0.775 G_L1: 8.025 D_real: 0.062 D_fake: 0.019 
(epoch: 9, iters: 37852, time: 0.074, data: 0.012) G_GAN: 1.075 G_L1: 7.634 D_real: 0.046 D_fake: 0.015 
(epoch: 9, iters: 37952, time: 0.073, data: 0.009) G_GAN: 0.583 G_L1: 8.331 D_real: 0.054 D_fake: 0.070 
(epoch: 9, iters: 38052, time: 0.072, data: 0.010) G_GAN: 0.558 G_L1: 8.580 D_real: 0.100 D_fake: 0.029 
(epoch: 9, iters: 38152, time: 0.072, data: 0.006) G_GAN: 1.015 G_L1: 8.044 D_real: 0.030 D_fake: 0.152 
(epoch: 9, iters: 38252, time: 0.073, data: 0.008) G_GAN: 1.152 G_L1: 7.930 D_real: 0.029 D_fake: 0.093 
(epoch: 9, iters: 38352, time: 0.073, data: 0.007) G_GAN: 0.776 G_L1: 7.880 D_real: 0.052 D_fake: 0.028 
(epoch: 9, iters: 38452, time: 0.075, data: 0.011) G_GAN: 0.922 G_L1: 8.174 D_real: 0.343 D_fake: 0.019 
(epoch: 9, iters: 38552, time: 0.073, data: 0.011) G_GAN: 0.978 G_L1: 8.679 D_real: 0.131 D_fake: 0.045 
(epoch: 9, iters: 38652, time: 0.072, data: 0.007) G_GAN: 0.643 G_L1: 8.522 D_real: 0.277 D_fake: 0.026 
(epoch: 9, iters: 38752, time: 0.073, data: 0.007) G_GAN: 0.709 G_L1: 7.725 D_real: 0.075 D_fake: 0.015 
(epoch: 9, iters: 38852, time: 0.072, data: 0.009) G_GAN: 0.685 G_L1: 8.337 D_real: 0.057 D_fake: 0.035 
(epoch: 9, iters: 38952, time: 0.073, data: 0.007) G_GAN: 1.303 G_L1: 8.061 D_real: 0.032 D_fake: 0.102 
(epoch: 9, iters: 39052, time: 0.073, data: 0.008) G_GAN: 0.934 G_L1: 7.941 D_real: 0.044 D_fake: 0.188 
(epoch: 9, iters: 39152, time: 0.156, data: 0.008) G_GAN: 0.931 G_L1: 7.592 D_real: 0.031 D_fake: 0.036 
(epoch: 9, iters: 39252, time: 0.072, data: 0.007) G_GAN: 0.952 G_L1: 7.928 D_real: 0.210 D_fake: 0.020 
(epoch: 9, iters: 39352, time: 0.069, data: 0.007) G_GAN: 0.857 G_L1: 9.202 D_real: 0.080 D_fake: 0.134 
(epoch: 9, iters: 39452, time: 0.073, data: 0.007) G_GAN: 1.014 G_L1: 7.658 D_real: 0.020 D_fake: 0.128 
(epoch: 9, iters: 39552, time: 0.072, data: 0.006) G_GAN: 0.783 G_L1: 7.441 D_real: 0.074 D_fake: 0.021 
(epoch: 9, iters: 39652, time: 0.073, data: 0.010) G_GAN: 1.036 G_L1: 7.945 D_real: 0.043 D_fake: 0.068 
(epoch: 9, iters: 39752, time: 0.073, data: 0.009) G_GAN: 0.998 G_L1: 8.309 D_real: 0.026 D_fake: 0.054 
(epoch: 9, iters: 39852, time: 0.073, data: 0.006) G_GAN: 0.794 G_L1: 8.018 D_real: 0.066 D_fake: 0.052 
(epoch: 9, iters: 39952, time: 0.074, data: 0.007) G_GAN: 0.905 G_L1: 8.035 D_real: 0.041 D_fake: 0.042 
(epoch: 9, iters: 40052, time: 0.074, data: 0.006) G_GAN: 0.874 G_L1: 8.395 D_real: 0.025 D_fake: 0.098 
(epoch: 9, iters: 40152, time: 0.072, data: 0.007) G_GAN: 0.932 G_L1: 7.062 D_real: 0.171 D_fake: 0.015 
(epoch: 9, iters: 40252, time: 0.072, data: 0.006) G_GAN: 0.532 G_L1: 8.651 D_real: 0.318 D_fake: 0.070 
(epoch: 9, iters: 40352, time: 0.072, data: 0.006) G_GAN: 0.579 G_L1: 8.133 D_real: 0.024 D_fake: 0.144 
(epoch: 9, iters: 40452, time: 0.070, data: 0.007) G_GAN: 0.543 G_L1: 7.505 D_real: 0.040 D_fake: 0.033 
(epoch: 9, iters: 40552, time: 0.072, data: 0.007) G_GAN: 0.841 G_L1: 7.020 D_real: 0.046 D_fake: 0.015 
(epoch: 9, iters: 40652, time: 0.073, data: 0.007) G_GAN: 0.897 G_L1: 9.256 D_real: 0.036 D_fake: 0.040 
(epoch: 9, iters: 40752, time: 0.073, data: 0.012) G_GAN: 0.658 G_L1: 7.342 D_real: 0.063 D_fake: 0.024 
(epoch: 9, iters: 40852, time: 0.071, data: 0.007) G_GAN: 0.932 G_L1: 8.177 D_real: 0.071 D_fake: 0.011 
(epoch: 9, iters: 40952, time: 0.071, data: 0.006) G_GAN: 0.707 G_L1: 8.282 D_real: 0.067 D_fake: 0.015 
(epoch: 9, iters: 41052, time: 0.074, data: 0.007) G_GAN: 0.957 G_L1: 8.642 D_real: 0.013 D_fake: 0.014 
(epoch: 9, iters: 41152, time: 0.150, data: 0.009) G_GAN: 0.881 G_L1: 7.885 D_real: 0.041 D_fake: 0.027 
(epoch: 9, iters: 41252, time: 0.070, data: 0.006) G_GAN: 0.957 G_L1: 8.420 D_real: 0.053 D_fake: 0.108 
(epoch: 9, iters: 41352, time: 0.072, data: 0.007) G_GAN: 0.846 G_L1: 7.447 D_real: 0.060 D_fake: 0.068 
(epoch: 9, iters: 41452, time: 0.072, data: 0.006) G_GAN: 0.719 G_L1: 8.030 D_real: 0.061 D_fake: 0.012 
(epoch: 9, iters: 41552, time: 0.074, data: 0.005) G_GAN: 0.767 G_L1: 9.357 D_real: 0.035 D_fake: 0.041 
(epoch: 9, iters: 41652, time: 0.074, data: 0.006) G_GAN: 1.231 G_L1: 7.887 D_real: 0.109 D_fake: 0.105 
(epoch: 9, iters: 41752, time: 0.073, data: 0.006) G_GAN: 0.689 G_L1: 8.656 D_real: 0.048 D_fake: 0.067 
(epoch: 9, iters: 41852, time: 0.071, data: 0.005) G_GAN: 0.763 G_L1: 9.159 D_real: 0.452 D_fake: 0.065 
(epoch: 9, iters: 41952, time: 0.072, data: 0.008) G_GAN: 0.787 G_L1: 7.499 D_real: 0.077 D_fake: 0.016 
(epoch: 9, iters: 42052, time: 0.070, data: 0.006) G_GAN: 1.051 G_L1: 8.653 D_real: 0.016 D_fake: 0.020 
(epoch: 9, iters: 42152, time: 0.071, data: 0.010) G_GAN: 1.009 G_L1: 8.498 D_real: 0.077 D_fake: 0.057 
saving the latest model (epoch 9, total_iters 425000)
(epoch: 9, iters: 42252, time: 0.072, data: 0.008) G_GAN: 0.664 G_L1: 7.369 D_real: 0.093 D_fake: 0.013 
(epoch: 9, iters: 42352, time: 0.073, data: 0.010) G_GAN: 1.003 G_L1: 8.063 D_real: 0.025 D_fake: 0.211 
(epoch: 9, iters: 42452, time: 0.074, data: 0.007) G_GAN: 1.328 G_L1: 7.623 D_real: 0.023 D_fake: 0.121 
(epoch: 9, iters: 42552, time: 0.073, data: 0.010) G_GAN: 0.815 G_L1: 8.274 D_real: 0.086 D_fake: 0.015 
(epoch: 9, iters: 42652, time: 0.074, data: 0.006) G_GAN: 0.467 G_L1: 7.313 D_real: 0.096 D_fake: 0.014 
(epoch: 9, iters: 42752, time: 0.073, data: 0.005) G_GAN: 0.587 G_L1: 7.897 D_real: 0.271 D_fake: 0.025 
(epoch: 9, iters: 42852, time: 0.073, data: 0.006) G_GAN: 0.947 G_L1: 7.012 D_real: 0.045 D_fake: 0.020 
(epoch: 9, iters: 42952, time: 0.073, data: 0.007) G_GAN: 0.899 G_L1: 6.815 D_real: 0.021 D_fake: 0.019 
(epoch: 9, iters: 43052, time: 0.074, data: 0.006) G_GAN: 0.863 G_L1: 8.266 D_real: 0.213 D_fake: 0.030 
(epoch: 9, iters: 43152, time: 0.151, data: 0.006) G_GAN: 1.761 G_L1: 8.493 D_real: 0.092 D_fake: 0.022 
(epoch: 9, iters: 43252, time: 0.072, data: 0.011) G_GAN: 0.661 G_L1: 6.551 D_real: 0.206 D_fake: 0.014 
(epoch: 9, iters: 43352, time: 0.072, data: 0.009) G_GAN: 0.982 G_L1: 7.203 D_real: 0.014 D_fake: 0.123 
(epoch: 9, iters: 43452, time: 0.073, data: 0.010) G_GAN: 0.595 G_L1: 7.642 D_real: 0.143 D_fake: 0.016 
(epoch: 9, iters: 43552, time: 0.073, data: 0.011) G_GAN: 0.869 G_L1: 9.262 D_real: 0.035 D_fake: 0.024 
(epoch: 9, iters: 43652, time: 0.071, data: 0.010) G_GAN: 0.887 G_L1: 7.683 D_real: 0.040 D_fake: 0.095 
(epoch: 9, iters: 43752, time: 0.072, data: 0.007) G_GAN: 1.023 G_L1: 7.852 D_real: 0.028 D_fake: 0.041 
(epoch: 9, iters: 43852, time: 0.071, data: 0.010) G_GAN: 0.737 G_L1: 7.296 D_real: 0.018 D_fake: 0.151 
(epoch: 9, iters: 43952, time: 0.072, data: 0.007) G_GAN: 1.040 G_L1: 8.545 D_real: 0.013 D_fake: 0.057 
(epoch: 9, iters: 44052, time: 0.072, data: 0.009) G_GAN: 0.602 G_L1: 8.229 D_real: 0.021 D_fake: 0.101 
(epoch: 9, iters: 44152, time: 0.071, data: 0.006) G_GAN: 0.888 G_L1: 7.407 D_real: 0.026 D_fake: 0.047 
(epoch: 9, iters: 44252, time: 0.074, data: 0.007) G_GAN: 0.487 G_L1: 7.070 D_real: 0.165 D_fake: 0.044 
(epoch: 9, iters: 44352, time: 0.074, data: 0.009) G_GAN: 1.590 G_L1: 8.771 D_real: 0.094 D_fake: 0.089 
(epoch: 9, iters: 44452, time: 0.073, data: 0.009) G_GAN: 0.825 G_L1: 8.586 D_real: 0.056 D_fake: 0.375 
(epoch: 9, iters: 44552, time: 0.073, data: 0.007) G_GAN: 1.024 G_L1: 9.227 D_real: 0.047 D_fake: 0.099 
(epoch: 9, iters: 44652, time: 0.071, data: 0.009) G_GAN: 0.933 G_L1: 8.299 D_real: 0.143 D_fake: 0.044 
(epoch: 9, iters: 44752, time: 0.074, data: 0.005) G_GAN: 0.730 G_L1: 7.630 D_real: 0.121 D_fake: 0.059 
(epoch: 9, iters: 44852, time: 0.074, data: 0.007) G_GAN: 0.886 G_L1: 7.509 D_real: 0.117 D_fake: 0.018 
(epoch: 9, iters: 44952, time: 0.074, data: 0.009) G_GAN: 0.752 G_L1: 9.082 D_real: 0.021 D_fake: 0.068 
(epoch: 9, iters: 45052, time: 0.072, data: 0.009) G_GAN: 0.951 G_L1: 6.930 D_real: 0.045 D_fake: 0.043 
(epoch: 9, iters: 45152, time: 0.152, data: 0.005) G_GAN: 1.251 G_L1: 9.273 D_real: 0.338 D_fake: 0.354 
(epoch: 9, iters: 45252, time: 0.072, data: 0.007) G_GAN: 0.331 G_L1: 7.678 D_real: 0.220 D_fake: 0.256 
(epoch: 9, iters: 45352, time: 0.073, data: 0.007) G_GAN: 0.449 G_L1: 8.130 D_real: 0.292 D_fake: 0.153 
(epoch: 9, iters: 45452, time: 0.070, data: 0.007) G_GAN: 0.396 G_L1: 8.403 D_real: 0.280 D_fake: 0.232 
(epoch: 9, iters: 45552, time: 0.073, data: 0.011) G_GAN: 0.423 G_L1: 7.626 D_real: 0.309 D_fake: 0.162 
(epoch: 9, iters: 45652, time: 0.074, data: 0.010) G_GAN: 0.298 G_L1: 6.950 D_real: 0.136 D_fake: 0.319 
(epoch: 9, iters: 45752, time: 0.073, data: 0.008) G_GAN: 0.468 G_L1: 6.911 D_real: 0.292 D_fake: 0.112 
(epoch: 9, iters: 45852, time: 0.074, data: 0.007) G_GAN: 0.378 G_L1: 7.697 D_real: 0.175 D_fake: 0.200 
(epoch: 9, iters: 45952, time: 0.073, data: 0.007) G_GAN: 0.418 G_L1: 6.981 D_real: 0.192 D_fake: 0.131 
(epoch: 9, iters: 46052, time: 0.070, data: 0.009) G_GAN: 0.434 G_L1: 6.661 D_real: 0.144 D_fake: 0.194 
(epoch: 9, iters: 46152, time: 0.071, data: 0.006) G_GAN: 0.409 G_L1: 6.981 D_real: 0.058 D_fake: 0.309 
(epoch: 9, iters: 46252, time: 0.072, data: 0.007) G_GAN: 0.465 G_L1: 7.171 D_real: 0.137 D_fake: 0.115 
(epoch: 9, iters: 46352, time: 0.073, data: 0.007) G_GAN: 0.445 G_L1: 6.782 D_real: 0.157 D_fake: 0.124 
(epoch: 9, iters: 46452, time: 0.071, data: 0.007) G_GAN: 0.627 G_L1: 8.926 D_real: 0.142 D_fake: 0.062 
(epoch: 9, iters: 46552, time: 0.072, data: 0.007) G_GAN: 0.397 G_L1: 6.738 D_real: 0.264 D_fake: 0.152 
(epoch: 9, iters: 46652, time: 0.074, data: 0.008) G_GAN: 0.327 G_L1: 5.879 D_real: 0.139 D_fake: 0.269 
(epoch: 9, iters: 46752, time: 0.072, data: 0.006) G_GAN: 0.543 G_L1: 6.885 D_real: 0.061 D_fake: 0.252 
(epoch: 9, iters: 46852, time: 0.071, data: 0.007) G_GAN: 0.517 G_L1: 6.912 D_real: 0.206 D_fake: 0.083 
(epoch: 9, iters: 46952, time: 0.073, data: 0.006) G_GAN: 0.459 G_L1: 7.372 D_real: 0.105 D_fake: 0.139 
(epoch: 9, iters: 47052, time: 0.073, data: 0.010) G_GAN: 0.475 G_L1: 7.854 D_real: 0.216 D_fake: 0.061 
(epoch: 9, iters: 47152, time: 0.156, data: 0.008) G_GAN: 0.447 G_L1: 6.882 D_real: 0.174 D_fake: 0.214 
saving the latest model (epoch 9, total_iters 430000)
(epoch: 9, iters: 47252, time: 0.074, data: 0.008) G_GAN: 0.311 G_L1: 7.419 D_real: 0.332 D_fake: 0.066 
(epoch: 9, iters: 47352, time: 0.072, data: 0.006) G_GAN: 0.575 G_L1: 6.578 D_real: 0.125 D_fake: 0.211 
(epoch: 9, iters: 47452, time: 0.073, data: 0.009) G_GAN: 0.345 G_L1: 6.299 D_real: 0.418 D_fake: 0.033 
(epoch: 9, iters: 47552, time: 0.071, data: 0.007) G_GAN: 0.428 G_L1: 8.320 D_real: 0.115 D_fake: 0.166 
(epoch: 9, iters: 47652, time: 0.072, data: 0.007) G_GAN: 0.567 G_L1: 8.322 D_real: 0.067 D_fake: 0.171 
(epoch: 9, iters: 47752, time: 0.074, data: 0.008) G_GAN: 0.620 G_L1: 9.023 D_real: 0.058 D_fake: 0.140 
(epoch: 9, iters: 47852, time: 0.072, data: 0.007) G_GAN: 0.403 G_L1: 7.537 D_real: 0.418 D_fake: 0.079 
End of epoch 9 / 20 	 Time Taken: 1972 sec
learning rate 0.0002000 -> 0.0002000
(epoch: 10, iters: 96, time: 0.159, data: 0.005) G_GAN: 0.453 G_L1: 7.287 D_real: 0.265 D_fake: 0.108 
(epoch: 10, iters: 196, time: 0.069, data: 0.011) G_GAN: 0.344 G_L1: 6.649 D_real: 0.057 D_fake: 0.369 
(epoch: 10, iters: 296, time: 0.068, data: 0.011) G_GAN: 0.428 G_L1: 7.351 D_real: 0.028 D_fake: 0.421 
(epoch: 10, iters: 396, time: 0.071, data: 0.007) G_GAN: 0.355 G_L1: 7.066 D_real: 0.121 D_fake: 0.208 
(epoch: 10, iters: 496, time: 0.071, data: 0.006) G_GAN: 0.515 G_L1: 7.238 D_real: 0.300 D_fake: 0.041 
(epoch: 10, iters: 596, time: 0.071, data: 0.010) G_GAN: 0.495 G_L1: 8.746 D_real: 0.217 D_fake: 0.062 
(epoch: 10, iters: 696, time: 0.069, data: 0.005) G_GAN: 0.359 G_L1: 7.919 D_real: 0.312 D_fake: 0.054 
(epoch: 10, iters: 796, time: 0.072, data: 0.009) G_GAN: 0.633 G_L1: 6.963 D_real: 0.030 D_fake: 0.150 
(epoch: 10, iters: 896, time: 0.069, data: 0.007) G_GAN: 0.642 G_L1: 9.231 D_real: 0.034 D_fake: 0.107 
(epoch: 10, iters: 996, time: 0.070, data: 0.009) G_GAN: 0.450 G_L1: 6.980 D_real: 0.073 D_fake: 0.431 
(epoch: 10, iters: 1096, time: 0.072, data: 0.011) G_GAN: 0.369 G_L1: 8.708 D_real: 0.201 D_fake: 0.083 
(epoch: 10, iters: 1196, time: 0.070, data: 0.009) G_GAN: 0.416 G_L1: 8.107 D_real: 0.147 D_fake: 0.106 
(epoch: 10, iters: 1296, time: 0.147, data: 0.015) G_GAN: 0.785 G_L1: 7.640 D_real: 0.186 D_fake: 0.025 
(epoch: 10, iters: 1396, time: 0.067, data: 0.007) G_GAN: 0.605 G_L1: 8.184 D_real: 0.026 D_fake: 0.190 
(epoch: 10, iters: 1496, time: 0.069, data: 0.009) G_GAN: 0.710 G_L1: 8.110 D_real: 0.024 D_fake: 0.172 
(epoch: 10, iters: 1596, time: 0.071, data: 0.007) G_GAN: 0.528 G_L1: 7.964 D_real: 0.068 D_fake: 0.139 
(epoch: 10, iters: 1696, time: 0.071, data: 0.008) G_GAN: 0.479 G_L1: 8.119 D_real: 0.098 D_fake: 0.148 
(epoch: 10, iters: 1796, time: 0.071, data: 0.009) G_GAN: 0.603 G_L1: 8.323 D_real: 0.040 D_fake: 0.211 
(epoch: 10, iters: 1896, time: 0.071, data: 0.008) G_GAN: 0.760 G_L1: 7.810 D_real: 0.032 D_fake: 0.088 
(epoch: 10, iters: 1996, time: 0.068, data: 0.008) G_GAN: 0.752 G_L1: 9.074 D_real: 0.021 D_fake: 0.130 
(epoch: 10, iters: 2096, time: 0.071, data: 0.006) G_GAN: 0.544 G_L1: 7.630 D_real: 0.115 D_fake: 0.074 
(epoch: 10, iters: 2196, time: 0.072, data: 0.007) G_GAN: 0.761 G_L1: 7.499 D_real: 0.034 D_fake: 0.102 
(epoch: 10, iters: 2296, time: 0.071, data: 0.007) G_GAN: 0.739 G_L1: 7.873 D_real: 0.022 D_fake: 0.073 
(epoch: 10, iters: 2396, time: 0.071, data: 0.006) G_GAN: 0.647 G_L1: 8.495 D_real: 0.040 D_fake: 0.140 
(epoch: 10, iters: 2496, time: 0.071, data: 0.006) G_GAN: 0.656 G_L1: 8.597 D_real: 0.242 D_fake: 0.021 
(epoch: 10, iters: 2596, time: 0.071, data: 0.007) G_GAN: 0.707 G_L1: 7.547 D_real: 0.107 D_fake: 0.021 
(epoch: 10, iters: 2696, time: 0.068, data: 0.006) G_GAN: 0.759 G_L1: 8.014 D_real: 0.077 D_fake: 0.034 
(epoch: 10, iters: 2796, time: 0.072, data: 0.006) G_GAN: 0.627 G_L1: 8.518 D_real: 0.022 D_fake: 0.177 
(epoch: 10, iters: 2896, time: 0.070, data: 0.008) G_GAN: 0.848 G_L1: 8.536 D_real: 0.022 D_fake: 0.070 
(epoch: 10, iters: 2996, time: 0.068, data: 0.008) G_GAN: 0.688 G_L1: 7.694 D_real: 0.027 D_fake: 0.078 
(epoch: 10, iters: 3096, time: 0.070, data: 0.008) G_GAN: 0.830 G_L1: 8.386 D_real: 0.024 D_fake: 0.122 
(epoch: 10, iters: 3196, time: 0.068, data: 0.007) G_GAN: 0.955 G_L1: 8.016 D_real: 0.014 D_fake: 0.056 
(epoch: 10, iters: 3296, time: 0.156, data: 0.013) G_GAN: 0.567 G_L1: 8.898 D_real: 0.019 D_fake: 0.185 
(epoch: 10, iters: 3396, time: 0.072, data: 0.007) G_GAN: 0.809 G_L1: 9.604 D_real: 0.016 D_fake: 0.090 
(epoch: 10, iters: 3496, time: 0.065, data: 0.010) G_GAN: 0.872 G_L1: 7.740 D_real: 0.072 D_fake: 0.053 
(epoch: 10, iters: 3596, time: 0.068, data: 0.010) G_GAN: 0.789 G_L1: 8.815 D_real: 0.059 D_fake: 0.017 
(epoch: 10, iters: 3696, time: 0.069, data: 0.012) G_GAN: 0.852 G_L1: 9.331 D_real: 0.030 D_fake: 0.035 
(epoch: 10, iters: 3796, time: 0.069, data: 0.007) G_GAN: 0.596 G_L1: 8.311 D_real: 0.017 D_fake: 0.231 
(epoch: 10, iters: 3896, time: 0.069, data: 0.007) G_GAN: 1.044 G_L1: 7.926 D_real: 0.250 D_fake: 0.038 
(epoch: 10, iters: 3996, time: 0.071, data: 0.008) G_GAN: 0.539 G_L1: 6.991 D_real: 0.068 D_fake: 0.136 
(epoch: 10, iters: 4096, time: 0.071, data: 0.011) G_GAN: 1.031 G_L1: 6.804 D_real: 0.030 D_fake: 0.080 
(epoch: 10, iters: 4196, time: 0.072, data: 0.007) G_GAN: 0.671 G_L1: 7.489 D_real: 0.061 D_fake: 0.128 
(epoch: 10, iters: 4296, time: 0.071, data: 0.007) G_GAN: 0.705 G_L1: 8.505 D_real: 0.018 D_fake: 0.141 
saving the latest model (epoch 10, total_iters 435000)
(epoch: 10, iters: 4396, time: 0.070, data: 0.008) G_GAN: 0.714 G_L1: 8.186 D_real: 0.066 D_fake: 0.027 
(epoch: 10, iters: 4496, time: 0.069, data: 0.008) G_GAN: 0.489 G_L1: 8.556 D_real: 0.259 D_fake: 0.015 
(epoch: 10, iters: 4596, time: 0.070, data: 0.007) G_GAN: 0.698 G_L1: 7.533 D_real: 0.101 D_fake: 0.032 
(epoch: 10, iters: 4696, time: 0.073, data: 0.011) G_GAN: 0.718 G_L1: 8.011 D_real: 0.072 D_fake: 0.013 
(epoch: 10, iters: 4796, time: 0.071, data: 0.007) G_GAN: 0.900 G_L1: 8.177 D_real: 0.026 D_fake: 0.093 
(epoch: 10, iters: 4896, time: 0.070, data: 0.006) G_GAN: 0.700 G_L1: 8.574 D_real: 0.039 D_fake: 0.143 
(epoch: 10, iters: 4996, time: 0.071, data: 0.007) G_GAN: 0.668 G_L1: 7.066 D_real: 0.066 D_fake: 0.044 
(epoch: 10, iters: 5096, time: 0.071, data: 0.011) G_GAN: 0.623 G_L1: 8.084 D_real: 0.101 D_fake: 0.032 
(epoch: 10, iters: 5196, time: 0.071, data: 0.009) G_GAN: 0.650 G_L1: 8.119 D_real: 0.127 D_fake: 0.033 
(epoch: 10, iters: 5296, time: 0.159, data: 0.006) G_GAN: 0.674 G_L1: 8.723 D_real: 0.128 D_fake: 0.014 
(epoch: 10, iters: 5396, time: 0.071, data: 0.008) G_GAN: 0.765 G_L1: 7.958 D_real: 0.060 D_fake: 0.091 
(epoch: 10, iters: 5496, time: 0.068, data: 0.008) G_GAN: 0.849 G_L1: 8.853 D_real: 0.047 D_fake: 0.034 
(epoch: 10, iters: 5596, time: 0.067, data: 0.011) G_GAN: 1.066 G_L1: 7.403 D_real: 0.097 D_fake: 0.025 
(epoch: 10, iters: 5696, time: 0.070, data: 0.011) G_GAN: 0.896 G_L1: 8.363 D_real: 0.031 D_fake: 0.053 
(epoch: 10, iters: 5796, time: 0.069, data: 0.006) G_GAN: 1.034 G_L1: 7.990 D_real: 0.016 D_fake: 0.106 
(epoch: 10, iters: 5896, time: 0.070, data: 0.006) G_GAN: 0.669 G_L1: 8.758 D_real: 0.028 D_fake: 0.166 
(epoch: 10, iters: 5996, time: 0.071, data: 0.006) G_GAN: 1.055 G_L1: 7.549 D_real: 0.015 D_fake: 0.162 
(epoch: 10, iters: 6096, time: 0.069, data: 0.015) G_GAN: 0.978 G_L1: 8.119 D_real: 0.050 D_fake: 0.082 
(epoch: 10, iters: 6196, time: 0.070, data: 0.010) G_GAN: 0.839 G_L1: 7.612 D_real: 0.017 D_fake: 0.091 
(epoch: 10, iters: 6296, time: 0.069, data: 0.005) G_GAN: 0.688 G_L1: 7.822 D_real: 0.071 D_fake: 0.034 
(epoch: 10, iters: 6396, time: 0.071, data: 0.012) G_GAN: 0.484 G_L1: 7.676 D_real: 0.078 D_fake: 0.049 
(epoch: 10, iters: 6496, time: 0.069, data: 0.010) G_GAN: 1.251 G_L1: 9.322 D_real: 0.037 D_fake: 0.113 
(epoch: 10, iters: 6596, time: 0.072, data: 0.007) G_GAN: 0.717 G_L1: 7.243 D_real: 0.060 D_fake: 0.052 
(epoch: 10, iters: 6696, time: 0.072, data: 0.007) G_GAN: 0.744 G_L1: 9.458 D_real: 0.075 D_fake: 0.014 
(epoch: 10, iters: 6796, time: 0.067, data: 0.011) G_GAN: 1.020 G_L1: 8.036 D_real: 0.018 D_fake: 0.136 
(epoch: 10, iters: 6896, time: 0.069, data: 0.006) G_GAN: 1.065 G_L1: 10.284 D_real: 0.028 D_fake: 0.057 
(epoch: 10, iters: 6996, time: 0.070, data: 0.007) G_GAN: 0.655 G_L1: 9.163 D_real: 0.016 D_fake: 0.160 
(epoch: 10, iters: 7096, time: 0.068, data: 0.008) G_GAN: 0.743 G_L1: 8.270 D_real: 0.047 D_fake: 0.015 
(epoch: 10, iters: 7196, time: 0.068, data: 0.008) G_GAN: 0.605 G_L1: 7.333 D_real: 0.220 D_fake: 0.019 
(epoch: 10, iters: 7296, time: 0.154, data: 0.007) G_GAN: 1.152 G_L1: 7.843 D_real: 0.298 D_fake: 0.106 
(epoch: 10, iters: 7396, time: 0.072, data: 0.011) G_GAN: 0.716 G_L1: 7.725 D_real: 0.315 D_fake: 0.011 
(epoch: 10, iters: 7496, time: 0.071, data: 0.007) G_GAN: 0.698 G_L1: 7.984 D_real: 0.341 D_fake: 0.012 
(epoch: 10, iters: 7596, time: 0.071, data: 0.006) G_GAN: 0.911 G_L1: 8.530 D_real: 0.160 D_fake: 0.078 
(epoch: 10, iters: 7696, time: 0.072, data: 0.007) G_GAN: 0.662 G_L1: 9.114 D_real: 0.068 D_fake: 0.067 
(epoch: 10, iters: 7796, time: 0.072, data: 0.006) G_GAN: 1.033 G_L1: 8.067 D_real: 0.050 D_fake: 0.019 
(epoch: 10, iters: 7896, time: 0.069, data: 0.010) G_GAN: 0.808 G_L1: 7.208 D_real: 0.074 D_fake: 0.020 
(epoch: 10, iters: 7996, time: 0.073, data: 0.005) G_GAN: 0.786 G_L1: 8.679 D_real: 0.016 D_fake: 0.024 
(epoch: 10, iters: 8096, time: 0.071, data: 0.007) G_GAN: 0.794 G_L1: 8.631 D_real: 0.015 D_fake: 0.011 
(epoch: 10, iters: 8196, time: 0.068, data: 0.007) G_GAN: 0.894 G_L1: 7.750 D_real: 0.036 D_fake: 0.038 
(epoch: 10, iters: 8296, time: 0.072, data: 0.006) G_GAN: 0.692 G_L1: 7.902 D_real: 0.223 D_fake: 0.014 
(epoch: 10, iters: 8396, time: 0.071, data: 0.007) G_GAN: 0.651 G_L1: 7.976 D_real: 0.078 D_fake: 0.036 
(epoch: 10, iters: 8496, time: 0.069, data: 0.010) G_GAN: 0.472 G_L1: 7.531 D_real: 0.157 D_fake: 0.139 
(epoch: 10, iters: 8596, time: 0.071, data: 0.007) G_GAN: 0.985 G_L1: 8.224 D_real: 0.019 D_fake: 0.140 
(epoch: 10, iters: 8696, time: 0.071, data: 0.009) G_GAN: 0.902 G_L1: 8.551 D_real: 0.055 D_fake: 0.022 
(epoch: 10, iters: 8796, time: 0.070, data: 0.009) G_GAN: 0.795 G_L1: 6.643 D_real: 0.025 D_fake: 0.123 
(epoch: 10, iters: 8896, time: 0.070, data: 0.009) G_GAN: 0.603 G_L1: 7.020 D_real: 0.072 D_fake: 0.019 
(epoch: 10, iters: 8996, time: 0.070, data: 0.007) G_GAN: 0.951 G_L1: 7.114 D_real: 0.019 D_fake: 0.160 
(epoch: 10, iters: 9096, time: 0.067, data: 0.009) G_GAN: 0.938 G_L1: 8.495 D_real: 0.013 D_fake: 0.084 
(epoch: 10, iters: 9196, time: 0.071, data: 0.007) G_GAN: 0.629 G_L1: 8.515 D_real: 0.075 D_fake: 0.022 
(epoch: 10, iters: 9296, time: 0.147, data: 0.005) G_GAN: 1.100 G_L1: 9.688 D_real: 0.016 D_fake: 0.086 
saving the latest model (epoch 10, total_iters 440000)
(epoch: 10, iters: 9396, time: 0.070, data: 0.008) G_GAN: 1.042 G_L1: 8.788 D_real: 0.019 D_fake: 0.039 
(epoch: 10, iters: 9496, time: 0.072, data: 0.011) G_GAN: 0.847 G_L1: 7.496 D_real: 0.015 D_fake: 0.065 
(epoch: 10, iters: 9596, time: 0.073, data: 0.006) G_GAN: 1.161 G_L1: 7.021 D_real: 0.022 D_fake: 0.174 
(epoch: 10, iters: 9696, time: 0.073, data: 0.006) G_GAN: 1.261 G_L1: 10.246 D_real: 0.043 D_fake: 0.127 
(epoch: 10, iters: 9796, time: 0.072, data: 0.007) G_GAN: 0.764 G_L1: 7.794 D_real: 0.040 D_fake: 0.041 
(epoch: 10, iters: 9896, time: 0.072, data: 0.006) G_GAN: 0.678 G_L1: 8.081 D_real: 0.106 D_fake: 0.017 
(epoch: 10, iters: 9996, time: 0.073, data: 0.007) G_GAN: 0.936 G_L1: 8.302 D_real: 0.090 D_fake: 0.066 
(epoch: 10, iters: 10096, time: 0.073, data: 0.011) G_GAN: 0.714 G_L1: 7.488 D_real: 0.081 D_fake: 0.015 
(epoch: 10, iters: 10196, time: 0.072, data: 0.008) G_GAN: 0.884 G_L1: 7.903 D_real: 0.035 D_fake: 0.070 
(epoch: 10, iters: 10296, time: 0.073, data: 0.015) G_GAN: 0.944 G_L1: 9.119 D_real: 0.024 D_fake: 0.028 
(epoch: 10, iters: 10396, time: 0.073, data: 0.010) G_GAN: 0.867 G_L1: 7.854 D_real: 0.013 D_fake: 0.376 
(epoch: 10, iters: 10496, time: 0.072, data: 0.007) G_GAN: 0.713 G_L1: 7.916 D_real: 0.144 D_fake: 0.018 
(epoch: 10, iters: 10596, time: 0.073, data: 0.009) G_GAN: 1.127 G_L1: 8.829 D_real: 0.029 D_fake: 0.125 
(epoch: 10, iters: 10696, time: 0.073, data: 0.007) G_GAN: 0.642 G_L1: 9.091 D_real: 0.182 D_fake: 0.028 
(epoch: 10, iters: 10796, time: 0.072, data: 0.006) G_GAN: 0.880 G_L1: 8.087 D_real: 0.117 D_fake: 0.063 
(epoch: 10, iters: 10896, time: 0.073, data: 0.007) G_GAN: 0.728 G_L1: 8.976 D_real: 0.198 D_fake: 0.018 
(epoch: 10, iters: 10996, time: 0.073, data: 0.008) G_GAN: 0.787 G_L1: 7.981 D_real: 0.069 D_fake: 0.068 
(epoch: 10, iters: 11096, time: 0.073, data: 0.008) G_GAN: 0.654 G_L1: 8.167 D_real: 0.045 D_fake: 0.044 
(epoch: 10, iters: 11196, time: 0.073, data: 0.007) G_GAN: 0.695 G_L1: 8.587 D_real: 0.035 D_fake: 0.096 
(epoch: 10, iters: 11296, time: 0.153, data: 0.011) G_GAN: 0.684 G_L1: 7.422 D_real: 0.108 D_fake: 0.019 
(epoch: 10, iters: 11396, time: 0.072, data: 0.006) G_GAN: 0.974 G_L1: 9.309 D_real: 0.015 D_fake: 0.037 
(epoch: 10, iters: 11496, time: 0.074, data: 0.009) G_GAN: 0.762 G_L1: 7.249 D_real: 0.029 D_fake: 0.053 
(epoch: 10, iters: 11596, time: 0.072, data: 0.007) G_GAN: 0.933 G_L1: 8.982 D_real: 0.023 D_fake: 0.047 
(epoch: 10, iters: 11696, time: 0.074, data: 0.005) G_GAN: 0.715 G_L1: 7.653 D_real: 0.246 D_fake: 0.014 
(epoch: 10, iters: 11796, time: 0.072, data: 0.011) G_GAN: 0.820 G_L1: 9.303 D_real: 0.093 D_fake: 0.033 
(epoch: 10, iters: 11896, time: 0.072, data: 0.006) G_GAN: 1.031 G_L1: 8.857 D_real: 0.020 D_fake: 0.117 
(epoch: 10, iters: 11996, time: 0.073, data: 0.009) G_GAN: 0.827 G_L1: 8.604 D_real: 0.101 D_fake: 0.027 
(epoch: 10, iters: 12096, time: 0.072, data: 0.008) G_GAN: 0.833 G_L1: 8.861 D_real: 0.033 D_fake: 0.035 
(epoch: 10, iters: 12196, time: 0.072, data: 0.013) G_GAN: 0.692 G_L1: 8.319 D_real: 0.045 D_fake: 0.143 
(epoch: 10, iters: 12296, time: 0.072, data: 0.012) G_GAN: 0.372 G_L1: 8.610 D_real: 0.296 D_fake: 0.079 
(epoch: 10, iters: 12396, time: 0.074, data: 0.006) G_GAN: 0.704 G_L1: 6.954 D_real: 0.085 D_fake: 0.081 
(epoch: 10, iters: 12496, time: 0.072, data: 0.007) G_GAN: 1.285 G_L1: 8.635 D_real: 0.043 D_fake: 0.178 
(epoch: 10, iters: 12596, time: 0.072, data: 0.009) G_GAN: 1.002 G_L1: 7.798 D_real: 0.074 D_fake: 0.013 
(epoch: 10, iters: 12696, time: 0.074, data: 0.006) G_GAN: 0.855 G_L1: 8.073 D_real: 0.053 D_fake: 0.121 
(epoch: 10, iters: 12796, time: 0.073, data: 0.006) G_GAN: 0.498 G_L1: 8.659 D_real: 0.083 D_fake: 0.091 
(epoch: 10, iters: 12896, time: 0.074, data: 0.008) G_GAN: 0.701 G_L1: 7.901 D_real: 0.059 D_fake: 0.056 
(epoch: 10, iters: 12996, time: 0.074, data: 0.006) G_GAN: 1.215 G_L1: 8.405 D_real: 0.037 D_fake: 0.103 
(epoch: 10, iters: 13096, time: 0.073, data: 0.006) G_GAN: 0.761 G_L1: 8.824 D_real: 0.026 D_fake: 0.102 
(epoch: 10, iters: 13196, time: 0.073, data: 0.007) G_GAN: 1.187 G_L1: 9.099 D_real: 0.122 D_fake: 0.018 
(epoch: 10, iters: 13296, time: 0.153, data: 0.008) G_GAN: 0.880 G_L1: 8.922 D_real: 0.046 D_fake: 0.059 
(epoch: 10, iters: 13396, time: 0.072, data: 0.006) G_GAN: 0.622 G_L1: 9.222 D_real: 0.050 D_fake: 0.027 
(epoch: 10, iters: 13496, time: 0.072, data: 0.007) G_GAN: 0.849 G_L1: 9.093 D_real: 0.036 D_fake: 0.076 
(epoch: 10, iters: 13596, time: 0.073, data: 0.011) G_GAN: 1.023 G_L1: 9.224 D_real: 0.016 D_fake: 0.064 
(epoch: 10, iters: 13696, time: 0.071, data: 0.010) G_GAN: 0.855 G_L1: 7.934 D_real: 0.017 D_fake: 0.190 
(epoch: 10, iters: 13796, time: 0.072, data: 0.008) G_GAN: 0.626 G_L1: 7.286 D_real: 0.077 D_fake: 0.054 
(epoch: 10, iters: 13896, time: 0.073, data: 0.007) G_GAN: 0.794 G_L1: 6.917 D_real: 0.055 D_fake: 0.011 
(epoch: 10, iters: 13996, time: 0.073, data: 0.007) G_GAN: 0.841 G_L1: 7.987 D_real: 0.034 D_fake: 0.096 
(epoch: 10, iters: 14096, time: 0.074, data: 0.006) G_GAN: 1.687 G_L1: 8.637 D_real: 0.017 D_fake: 0.180 
(epoch: 10, iters: 14196, time: 0.073, data: 0.007) G_GAN: 1.081 G_L1: 9.817 D_real: 0.021 D_fake: 0.019 
(epoch: 10, iters: 14296, time: 0.068, data: 0.012) G_GAN: 0.612 G_L1: 8.882 D_real: 0.099 D_fake: 0.051 
saving the latest model (epoch 10, total_iters 445000)
(epoch: 10, iters: 14396, time: 0.073, data: 0.007) G_GAN: 0.650 G_L1: 9.127 D_real: 0.044 D_fake: 0.031 
(epoch: 10, iters: 14496, time: 0.071, data: 0.007) G_GAN: 0.669 G_L1: 8.642 D_real: 0.130 D_fake: 0.012 
(epoch: 10, iters: 14596, time: 0.073, data: 0.008) G_GAN: 0.752 G_L1: 8.624 D_real: 0.031 D_fake: 0.242 
(epoch: 10, iters: 14696, time: 0.072, data: 0.007) G_GAN: 0.343 G_L1: 8.804 D_real: 0.329 D_fake: 0.020 
(epoch: 10, iters: 14796, time: 0.073, data: 0.007) G_GAN: 0.772 G_L1: 7.506 D_real: 0.995 D_fake: 0.124 
(epoch: 10, iters: 14896, time: 0.073, data: 0.007) G_GAN: 0.795 G_L1: 7.048 D_real: 0.050 D_fake: 0.038 
(epoch: 10, iters: 14996, time: 0.072, data: 0.007) G_GAN: 0.634 G_L1: 9.323 D_real: 0.089 D_fake: 0.016 
(epoch: 10, iters: 15096, time: 0.072, data: 0.011) G_GAN: 1.072 G_L1: 9.658 D_real: 0.032 D_fake: 0.011 
(epoch: 10, iters: 15196, time: 0.074, data: 0.007) G_GAN: 0.676 G_L1: 8.323 D_real: 0.035 D_fake: 0.130 
(epoch: 10, iters: 15296, time: 0.149, data: 0.006) G_GAN: 0.759 G_L1: 8.608 D_real: 0.031 D_fake: 0.404 
(epoch: 10, iters: 15396, time: 0.071, data: 0.011) G_GAN: 1.508 G_L1: 7.487 D_real: 0.030 D_fake: 0.179 
(epoch: 10, iters: 15496, time: 0.072, data: 0.007) G_GAN: 0.882 G_L1: 8.927 D_real: 0.025 D_fake: 0.030 
(epoch: 10, iters: 15596, time: 0.072, data: 0.007) G_GAN: 1.040 G_L1: 9.348 D_real: 0.053 D_fake: 0.094 
(epoch: 10, iters: 15696, time: 0.074, data: 0.007) G_GAN: 0.420 G_L1: 8.482 D_real: 0.185 D_fake: 0.072 
(epoch: 10, iters: 15796, time: 0.071, data: 0.008) G_GAN: 0.835 G_L1: 8.183 D_real: 0.015 D_fake: 0.018 
(epoch: 10, iters: 15896, time: 0.070, data: 0.007) G_GAN: 0.969 G_L1: 8.869 D_real: 0.018 D_fake: 0.054 
(epoch: 10, iters: 15996, time: 0.068, data: 0.008) G_GAN: 0.852 G_L1: 7.677 D_real: 0.016 D_fake: 0.035 
(epoch: 10, iters: 16096, time: 0.073, data: 0.006) G_GAN: 0.943 G_L1: 9.051 D_real: 0.018 D_fake: 0.024 
(epoch: 10, iters: 16196, time: 0.070, data: 0.006) G_GAN: 0.685 G_L1: 7.519 D_real: 0.028 D_fake: 0.118 
(epoch: 10, iters: 16296, time: 0.073, data: 0.008) G_GAN: 0.689 G_L1: 8.056 D_real: 0.157 D_fake: 0.020 
(epoch: 10, iters: 16396, time: 0.072, data: 0.006) G_GAN: 0.689 G_L1: 6.762 D_real: 0.058 D_fake: 0.024 
(epoch: 10, iters: 16496, time: 0.074, data: 0.008) G_GAN: 1.029 G_L1: 7.771 D_real: 0.018 D_fake: 0.097 
(epoch: 10, iters: 16596, time: 0.073, data: 0.011) G_GAN: 1.196 G_L1: 8.091 D_real: 0.070 D_fake: 0.190 
(epoch: 10, iters: 16696, time: 0.073, data: 0.011) G_GAN: 0.851 G_L1: 7.738 D_real: 0.018 D_fake: 0.127 
(epoch: 10, iters: 16796, time: 0.074, data: 0.006) G_GAN: 0.604 G_L1: 7.275 D_real: 0.086 D_fake: 0.018 
(epoch: 10, iters: 16896, time: 0.073, data: 0.006) G_GAN: 0.825 G_L1: 7.050 D_real: 0.032 D_fake: 0.177 
(epoch: 10, iters: 16996, time: 0.074, data: 0.007) G_GAN: 1.323 G_L1: 6.873 D_real: 0.021 D_fake: 0.054 
(epoch: 10, iters: 17096, time: 0.073, data: 0.009) G_GAN: 0.947 G_L1: 9.203 D_real: 0.026 D_fake: 0.044 
(epoch: 10, iters: 17196, time: 0.074, data: 0.007) G_GAN: 1.089 G_L1: 8.727 D_real: 0.225 D_fake: 0.054 
(epoch: 10, iters: 17296, time: 0.150, data: 0.007) G_GAN: 1.551 G_L1: 7.025 D_real: 0.030 D_fake: 0.192 
(epoch: 10, iters: 17396, time: 0.069, data: 0.007) G_GAN: 0.902 G_L1: 8.278 D_real: 0.030 D_fake: 0.044 
(epoch: 10, iters: 17496, time: 0.070, data: 0.008) G_GAN: 1.153 G_L1: 8.148 D_real: 0.083 D_fake: 0.083 
(epoch: 10, iters: 17596, time: 0.071, data: 0.011) G_GAN: 1.058 G_L1: 9.787 D_real: 0.070 D_fake: 0.084 
(epoch: 10, iters: 17696, time: 0.073, data: 0.008) G_GAN: 0.854 G_L1: 8.403 D_real: 0.021 D_fake: 0.019 
(epoch: 10, iters: 17796, time: 0.073, data: 0.008) G_GAN: 0.985 G_L1: 7.605 D_real: 0.029 D_fake: 0.044 
(epoch: 10, iters: 17896, time: 0.072, data: 0.008) G_GAN: 0.884 G_L1: 6.845 D_real: 0.097 D_fake: 0.029 
(epoch: 10, iters: 17996, time: 0.071, data: 0.006) G_GAN: 1.099 G_L1: 9.549 D_real: 0.026 D_fake: 0.041 
(epoch: 10, iters: 18096, time: 0.070, data: 0.009) G_GAN: 0.651 G_L1: 9.340 D_real: 0.166 D_fake: 0.013 
(epoch: 10, iters: 18196, time: 0.072, data: 0.008) G_GAN: 0.823 G_L1: 8.334 D_real: 0.025 D_fake: 0.045 
(epoch: 10, iters: 18296, time: 0.072, data: 0.009) G_GAN: 1.094 G_L1: 8.082 D_real: 0.019 D_fake: 0.127 
(epoch: 10, iters: 18396, time: 0.072, data: 0.010) G_GAN: 0.351 G_L1: 7.314 D_real: 0.205 D_fake: 0.027 
(epoch: 10, iters: 18496, time: 0.071, data: 0.006) G_GAN: 0.645 G_L1: 7.729 D_real: 0.059 D_fake: 0.075 
(epoch: 10, iters: 18596, time: 0.074, data: 0.006) G_GAN: 1.242 G_L1: 7.222 D_real: 0.019 D_fake: 0.070 
(epoch: 10, iters: 18696, time: 0.073, data: 0.006) G_GAN: 0.693 G_L1: 8.688 D_real: 0.247 D_fake: 0.026 
(epoch: 10, iters: 18796, time: 0.074, data: 0.006) G_GAN: 1.073 G_L1: 9.285 D_real: 0.036 D_fake: 0.025 
(epoch: 10, iters: 18896, time: 0.073, data: 0.008) G_GAN: 0.919 G_L1: 8.365 D_real: 0.052 D_fake: 0.097 
(epoch: 10, iters: 18996, time: 0.071, data: 0.008) G_GAN: 0.713 G_L1: 7.332 D_real: 0.058 D_fake: 0.018 
(epoch: 10, iters: 19096, time: 0.072, data: 0.006) G_GAN: 1.527 G_L1: 7.218 D_real: 0.018 D_fake: 0.086 
(epoch: 10, iters: 19196, time: 0.071, data: 0.007) G_GAN: 0.611 G_L1: 8.228 D_real: 0.238 D_fake: 0.026 
(epoch: 10, iters: 19296, time: 0.153, data: 0.006) G_GAN: 0.834 G_L1: 8.744 D_real: 0.055 D_fake: 0.022 
saving the latest model (epoch 10, total_iters 450000)
(epoch: 10, iters: 19396, time: 0.073, data: 0.007) G_GAN: 0.628 G_L1: 7.591 D_real: 0.173 D_fake: 0.062 
(epoch: 10, iters: 19496, time: 0.071, data: 0.006) G_GAN: 0.852 G_L1: 7.798 D_real: 0.222 D_fake: 0.019 
(epoch: 10, iters: 19596, time: 0.073, data: 0.007) G_GAN: 0.575 G_L1: 8.470 D_real: 0.048 D_fake: 0.149 
(epoch: 10, iters: 19696, time: 0.072, data: 0.010) G_GAN: 0.875 G_L1: 8.594 D_real: 0.037 D_fake: 0.126 
(epoch: 10, iters: 19796, time: 0.072, data: 0.008) G_GAN: 0.973 G_L1: 8.222 D_real: 0.110 D_fake: 0.014 
(epoch: 10, iters: 19896, time: 0.074, data: 0.007) G_GAN: 0.684 G_L1: 8.510 D_real: 0.035 D_fake: 0.041 
(epoch: 10, iters: 19996, time: 0.073, data: 0.005) G_GAN: 0.732 G_L1: 9.470 D_real: 0.027 D_fake: 0.179 
(epoch: 10, iters: 20096, time: 0.073, data: 0.007) G_GAN: 0.503 G_L1: 7.668 D_real: 0.161 D_fake: 0.036 
(epoch: 10, iters: 20196, time: 0.073, data: 0.010) G_GAN: 1.232 G_L1: 9.475 D_real: 0.060 D_fake: 0.131 
(epoch: 10, iters: 20296, time: 0.071, data: 0.010) G_GAN: 1.038 G_L1: 8.451 D_real: 0.047 D_fake: 0.141 
(epoch: 10, iters: 20396, time: 0.074, data: 0.008) G_GAN: 0.836 G_L1: 8.172 D_real: 0.015 D_fake: 0.187 
(epoch: 10, iters: 20496, time: 0.073, data: 0.008) G_GAN: 0.635 G_L1: 8.898 D_real: 0.122 D_fake: 0.019 
(epoch: 10, iters: 20596, time: 0.072, data: 0.006) G_GAN: 0.788 G_L1: 8.514 D_real: 0.014 D_fake: 0.017 
(epoch: 10, iters: 20696, time: 0.071, data: 0.006) G_GAN: 1.061 G_L1: 7.205 D_real: 0.070 D_fake: 0.261 
(epoch: 10, iters: 20796, time: 0.072, data: 0.006) G_GAN: 0.870 G_L1: 8.952 D_real: 0.015 D_fake: 0.025 
(epoch: 10, iters: 20896, time: 0.071, data: 0.009) G_GAN: 0.898 G_L1: 7.579 D_real: 0.024 D_fake: 0.026 
(epoch: 10, iters: 20996, time: 0.071, data: 0.008) G_GAN: 0.863 G_L1: 10.277 D_real: 0.046 D_fake: 0.011 
(epoch: 10, iters: 21096, time: 0.067, data: 0.010) G_GAN: 0.943 G_L1: 8.265 D_real: 0.088 D_fake: 0.099 
(epoch: 10, iters: 21196, time: 0.072, data: 0.009) G_GAN: 0.931 G_L1: 9.369 D_real: 0.130 D_fake: 0.028 
(epoch: 10, iters: 21296, time: 0.153, data: 0.008) G_GAN: 1.269 G_L1: 8.217 D_real: 0.028 D_fake: 0.092 
(epoch: 10, iters: 21396, time: 0.072, data: 0.007) G_GAN: 1.274 G_L1: 9.253 D_real: 0.022 D_fake: 0.071 
(epoch: 10, iters: 21496, time: 0.073, data: 0.012) G_GAN: 0.652 G_L1: 8.743 D_real: 0.034 D_fake: 0.025 
(epoch: 10, iters: 21596, time: 0.073, data: 0.007) G_GAN: 1.152 G_L1: 8.055 D_real: 0.045 D_fake: 0.035 
(epoch: 10, iters: 21696, time: 0.071, data: 0.007) G_GAN: 1.128 G_L1: 8.716 D_real: 0.038 D_fake: 0.234 
(epoch: 10, iters: 21796, time: 0.071, data: 0.005) G_GAN: 0.971 G_L1: 8.726 D_real: 0.035 D_fake: 0.110 
(epoch: 10, iters: 21896, time: 0.074, data: 0.008) G_GAN: 0.690 G_L1: 8.629 D_real: 0.065 D_fake: 0.016 
(epoch: 10, iters: 21996, time: 0.073, data: 0.006) G_GAN: 0.680 G_L1: 8.103 D_real: 0.098 D_fake: 0.014 
(epoch: 10, iters: 22096, time: 0.073, data: 0.006) G_GAN: 1.306 G_L1: 8.359 D_real: 0.037 D_fake: 0.047 
(epoch: 10, iters: 22196, time: 0.074, data: 0.006) G_GAN: 0.844 G_L1: 8.607 D_real: 0.051 D_fake: 0.041 
(epoch: 10, iters: 22296, time: 0.072, data: 0.018) G_GAN: 1.317 G_L1: 8.569 D_real: 0.107 D_fake: 0.039 
(epoch: 10, iters: 22396, time: 0.073, data: 0.007) G_GAN: 0.624 G_L1: 8.655 D_real: 0.230 D_fake: 0.031 
(epoch: 10, iters: 22496, time: 0.074, data: 0.009) G_GAN: 2.181 G_L1: 9.925 D_real: 0.425 D_fake: 0.495 
(epoch: 10, iters: 22596, time: 0.073, data: 0.008) G_GAN: 0.726 G_L1: 7.215 D_real: 0.505 D_fake: 0.071 
(epoch: 10, iters: 22696, time: 0.074, data: 0.010) G_GAN: 1.216 G_L1: 8.129 D_real: 0.018 D_fake: 0.029 
(epoch: 10, iters: 22796, time: 0.073, data: 0.005) G_GAN: 1.118 G_L1: 8.141 D_real: 0.016 D_fake: 0.025 
(epoch: 10, iters: 22896, time: 0.072, data: 0.005) G_GAN: 0.947 G_L1: 7.708 D_real: 0.114 D_fake: 0.019 
(epoch: 10, iters: 22996, time: 0.072, data: 0.010) G_GAN: 1.053 G_L1: 9.378 D_real: 0.021 D_fake: 0.142 
(epoch: 10, iters: 23096, time: 0.072, data: 0.008) G_GAN: 1.128 G_L1: 8.232 D_real: 0.025 D_fake: 0.020 
(epoch: 10, iters: 23196, time: 0.072, data: 0.010) G_GAN: 0.796 G_L1: 9.044 D_real: 0.033 D_fake: 0.024 
(epoch: 10, iters: 23296, time: 0.154, data: 0.008) G_GAN: 0.764 G_L1: 7.911 D_real: 0.277 D_fake: 0.095 
(epoch: 10, iters: 23396, time: 0.070, data: 0.012) G_GAN: 1.059 G_L1: 8.736 D_real: 0.033 D_fake: 0.115 
(epoch: 10, iters: 23496, time: 0.072, data: 0.006) G_GAN: 0.555 G_L1: 8.279 D_real: 0.099 D_fake: 0.017 
(epoch: 10, iters: 23596, time: 0.074, data: 0.006) G_GAN: 0.465 G_L1: 7.652 D_real: 0.177 D_fake: 0.080 
(epoch: 10, iters: 23696, time: 0.073, data: 0.005) G_GAN: 0.657 G_L1: 7.807 D_real: 0.059 D_fake: 0.022 
(epoch: 10, iters: 23796, time: 0.073, data: 0.008) G_GAN: 1.246 G_L1: 8.176 D_real: 0.042 D_fake: 0.070 
(epoch: 10, iters: 23896, time: 0.073, data: 0.005) G_GAN: 0.486 G_L1: 6.835 D_real: 0.209 D_fake: 0.019 
(epoch: 10, iters: 23996, time: 0.072, data: 0.009) G_GAN: 0.708 G_L1: 7.669 D_real: 0.472 D_fake: 0.013 
(epoch: 10, iters: 24096, time: 0.072, data: 0.007) G_GAN: 0.990 G_L1: 9.085 D_real: 0.067 D_fake: 0.022 
(epoch: 10, iters: 24196, time: 0.073, data: 0.007) G_GAN: 0.451 G_L1: 6.901 D_real: 0.202 D_fake: 0.071 
(epoch: 10, iters: 24296, time: 0.074, data: 0.006) G_GAN: 0.907 G_L1: 7.255 D_real: 0.067 D_fake: 0.028 
saving the latest model (epoch 10, total_iters 455000)
(epoch: 10, iters: 24396, time: 0.073, data: 0.008) G_GAN: 0.808 G_L1: 8.627 D_real: 0.054 D_fake: 0.037 
(epoch: 10, iters: 24496, time: 0.070, data: 0.009) G_GAN: 0.885 G_L1: 8.627 D_real: 0.016 D_fake: 0.089 
(epoch: 10, iters: 24596, time: 0.070, data: 0.007) G_GAN: 0.777 G_L1: 7.641 D_real: 0.343 D_fake: 0.024 
(epoch: 10, iters: 24696, time: 0.071, data: 0.006) G_GAN: 0.602 G_L1: 7.565 D_real: 0.178 D_fake: 0.041 
(epoch: 10, iters: 24796, time: 0.069, data: 0.008) G_GAN: 0.859 G_L1: 6.858 D_real: 0.076 D_fake: 0.016 
(epoch: 10, iters: 24896, time: 0.071, data: 0.010) G_GAN: 0.865 G_L1: 8.126 D_real: 0.025 D_fake: 0.048 
(epoch: 10, iters: 24996, time: 0.071, data: 0.010) G_GAN: 0.572 G_L1: 7.493 D_real: 0.170 D_fake: 0.020 
(epoch: 10, iters: 25096, time: 0.071, data: 0.008) G_GAN: 0.786 G_L1: 8.123 D_real: 0.026 D_fake: 0.023 
(epoch: 10, iters: 25196, time: 0.073, data: 0.008) G_GAN: 0.933 G_L1: 7.358 D_real: 0.019 D_fake: 0.015 
(epoch: 10, iters: 25296, time: 0.148, data: 0.011) G_GAN: 1.024 G_L1: 8.692 D_real: 0.220 D_fake: 0.025 
(epoch: 10, iters: 25396, time: 0.073, data: 0.009) G_GAN: 0.824 G_L1: 9.286 D_real: 0.062 D_fake: 0.043 
(epoch: 10, iters: 25496, time: 0.073, data: 0.008) G_GAN: 0.759 G_L1: 7.380 D_real: 0.134 D_fake: 0.213 
(epoch: 10, iters: 25596, time: 0.072, data: 0.007) G_GAN: 0.772 G_L1: 7.092 D_real: 0.230 D_fake: 0.016 
(epoch: 10, iters: 25696, time: 0.073, data: 0.011) G_GAN: 1.146 G_L1: 9.452 D_real: 0.032 D_fake: 0.103 
(epoch: 10, iters: 25796, time: 0.073, data: 0.007) G_GAN: 0.864 G_L1: 9.069 D_real: 0.022 D_fake: 0.025 
(epoch: 10, iters: 25896, time: 0.071, data: 0.006) G_GAN: 0.835 G_L1: 7.752 D_real: 0.203 D_fake: 0.018 
(epoch: 10, iters: 25996, time: 0.074, data: 0.008) G_GAN: 0.963 G_L1: 7.448 D_real: 0.036 D_fake: 0.020 
(epoch: 10, iters: 26096, time: 0.071, data: 0.006) G_GAN: 0.379 G_L1: 7.935 D_real: 0.104 D_fake: 0.081 
(epoch: 10, iters: 26196, time: 0.072, data: 0.006) G_GAN: 0.884 G_L1: 7.904 D_real: 0.053 D_fake: 0.224 
(epoch: 10, iters: 26296, time: 0.070, data: 0.009) G_GAN: 0.887 G_L1: 9.597 D_real: 0.019 D_fake: 0.036 
(epoch: 10, iters: 26396, time: 0.072, data: 0.007) G_GAN: 0.531 G_L1: 7.047 D_real: 0.130 D_fake: 0.028 
(epoch: 10, iters: 26496, time: 0.071, data: 0.007) G_GAN: 0.919 G_L1: 7.917 D_real: 0.044 D_fake: 0.017 
(epoch: 10, iters: 26596, time: 0.070, data: 0.007) G_GAN: 0.791 G_L1: 6.800 D_real: 0.053 D_fake: 0.059 
(epoch: 10, iters: 26696, time: 0.071, data: 0.017) G_GAN: 0.573 G_L1: 9.225 D_real: 0.479 D_fake: 0.025 
(epoch: 10, iters: 26796, time: 0.072, data: 0.009) G_GAN: 0.839 G_L1: 8.711 D_real: 0.035 D_fake: 0.013 
(epoch: 10, iters: 26896, time: 0.072, data: 0.006) G_GAN: 0.991 G_L1: 7.625 D_real: 0.021 D_fake: 0.169 
(epoch: 10, iters: 26996, time: 0.071, data: 0.006) G_GAN: 1.301 G_L1: 6.764 D_real: 0.097 D_fake: 0.026 
(epoch: 10, iters: 27096, time: 0.073, data: 0.006) G_GAN: 1.060 G_L1: 10.257 D_real: 0.016 D_fake: 0.043 
(epoch: 10, iters: 27196, time: 0.072, data: 0.010) G_GAN: 0.910 G_L1: 7.737 D_real: 0.021 D_fake: 0.104 
(epoch: 10, iters: 27296, time: 0.148, data: 0.014) G_GAN: 0.670 G_L1: 7.653 D_real: 0.154 D_fake: 0.016 
(epoch: 10, iters: 27396, time: 0.073, data: 0.006) G_GAN: 0.922 G_L1: 7.366 D_real: 0.071 D_fake: 0.043 
(epoch: 10, iters: 27496, time: 0.073, data: 0.008) G_GAN: 0.782 G_L1: 8.444 D_real: 0.081 D_fake: 0.065 
(epoch: 10, iters: 27596, time: 0.073, data: 0.007) G_GAN: 0.470 G_L1: 7.439 D_real: 0.181 D_fake: 0.120 
(epoch: 10, iters: 27696, time: 0.073, data: 0.009) G_GAN: 0.859 G_L1: 7.073 D_real: 0.025 D_fake: 0.034 
(epoch: 10, iters: 27796, time: 0.071, data: 0.008) G_GAN: 1.202 G_L1: 8.813 D_real: 0.020 D_fake: 0.081 
(epoch: 10, iters: 27896, time: 0.070, data: 0.007) G_GAN: 0.959 G_L1: 7.801 D_real: 0.046 D_fake: 0.048 
(epoch: 10, iters: 27996, time: 0.073, data: 0.006) G_GAN: 0.806 G_L1: 7.517 D_real: 0.087 D_fake: 0.013 
(epoch: 10, iters: 28096, time: 0.071, data: 0.014) G_GAN: 1.010 G_L1: 9.550 D_real: 0.021 D_fake: 0.017 
(epoch: 10, iters: 28196, time: 0.072, data: 0.007) G_GAN: 1.847 G_L1: 7.058 D_real: 0.014 D_fake: 0.174 
(epoch: 10, iters: 28296, time: 0.073, data: 0.007) G_GAN: 0.855 G_L1: 8.625 D_real: 0.025 D_fake: 0.046 
(epoch: 10, iters: 28396, time: 0.072, data: 0.007) G_GAN: 0.675 G_L1: 8.307 D_real: 0.259 D_fake: 0.049 
(epoch: 10, iters: 28496, time: 0.070, data: 0.006) G_GAN: 0.912 G_L1: 6.731 D_real: 0.044 D_fake: 0.037 
(epoch: 10, iters: 28596, time: 0.071, data: 0.009) G_GAN: 0.787 G_L1: 8.075 D_real: 0.119 D_fake: 0.040 
(epoch: 10, iters: 28696, time: 0.072, data: 0.012) G_GAN: 0.904 G_L1: 8.591 D_real: 0.050 D_fake: 0.070 
(epoch: 10, iters: 28796, time: 0.072, data: 0.009) G_GAN: 0.789 G_L1: 7.684 D_real: 0.063 D_fake: 0.030 
(epoch: 10, iters: 28896, time: 0.071, data: 0.006) G_GAN: 1.194 G_L1: 8.524 D_real: 0.024 D_fake: 0.027 
(epoch: 10, iters: 28996, time: 0.072, data: 0.008) G_GAN: 1.440 G_L1: 7.659 D_real: 0.015 D_fake: 0.161 
(epoch: 10, iters: 29096, time: 0.072, data: 0.008) G_GAN: 0.772 G_L1: 8.581 D_real: 0.031 D_fake: 0.221 
(epoch: 10, iters: 29196, time: 0.075, data: 0.006) G_GAN: 0.490 G_L1: 7.596 D_real: 0.080 D_fake: 0.064 
(epoch: 10, iters: 29296, time: 0.149, data: 0.007) G_GAN: 0.684 G_L1: 7.209 D_real: 0.040 D_fake: 0.026 
saving the latest model (epoch 10, total_iters 460000)
(epoch: 10, iters: 29396, time: 0.072, data: 0.008) G_GAN: 0.651 G_L1: 9.077 D_real: 0.030 D_fake: 0.055 
(epoch: 10, iters: 29496, time: 0.073, data: 0.006) G_GAN: 0.988 G_L1: 7.566 D_real: 0.108 D_fake: 0.057 
(epoch: 10, iters: 29596, time: 0.072, data: 0.010) G_GAN: 1.032 G_L1: 7.345 D_real: 0.017 D_fake: 0.108 
(epoch: 10, iters: 29696, time: 0.073, data: 0.009) G_GAN: 0.831 G_L1: 7.771 D_real: 0.016 D_fake: 0.017 
(epoch: 10, iters: 29796, time: 0.072, data: 0.009) G_GAN: 0.785 G_L1: 9.425 D_real: 0.020 D_fake: 0.026 
(epoch: 10, iters: 29896, time: 0.073, data: 0.005) G_GAN: 1.036 G_L1: 7.211 D_real: 0.028 D_fake: 0.021 
(epoch: 10, iters: 29996, time: 0.073, data: 0.006) G_GAN: 0.984 G_L1: 8.265 D_real: 0.016 D_fake: 0.105 
(epoch: 10, iters: 30096, time: 0.072, data: 0.007) G_GAN: 0.692 G_L1: 7.842 D_real: 0.145 D_fake: 0.029 
(epoch: 10, iters: 30196, time: 0.071, data: 0.005) G_GAN: 1.084 G_L1: 8.539 D_real: 0.016 D_fake: 0.018 
(epoch: 10, iters: 30296, time: 0.073, data: 0.007) G_GAN: 1.129 G_L1: 8.431 D_real: 0.019 D_fake: 0.146 
(epoch: 10, iters: 30396, time: 0.071, data: 0.010) G_GAN: 0.571 G_L1: 7.577 D_real: 0.100 D_fake: 0.134 
(epoch: 10, iters: 30496, time: 0.070, data: 0.007) G_GAN: 0.866 G_L1: 10.075 D_real: 0.050 D_fake: 0.015 
(epoch: 10, iters: 30596, time: 0.069, data: 0.006) G_GAN: 0.674 G_L1: 9.047 D_real: 0.064 D_fake: 0.021 
(epoch: 10, iters: 30696, time: 0.069, data: 0.007) G_GAN: 0.813 G_L1: 8.613 D_real: 0.053 D_fake: 0.101 
(epoch: 10, iters: 30796, time: 0.069, data: 0.009) G_GAN: 1.194 G_L1: 8.393 D_real: 0.017 D_fake: 0.043 
(epoch: 10, iters: 30896, time: 0.072, data: 0.007) G_GAN: 0.942 G_L1: 9.589 D_real: 0.019 D_fake: 0.159 
(epoch: 10, iters: 30996, time: 0.072, data: 0.007) G_GAN: 0.778 G_L1: 8.445 D_real: 0.034 D_fake: 0.017 
(epoch: 10, iters: 31096, time: 0.073, data: 0.006) G_GAN: 0.580 G_L1: 8.124 D_real: 0.164 D_fake: 0.042 
(epoch: 10, iters: 31196, time: 0.073, data: 0.005) G_GAN: 0.711 G_L1: 8.397 D_real: 0.102 D_fake: 0.017 
(epoch: 10, iters: 31296, time: 0.156, data: 0.005) G_GAN: 0.701 G_L1: 8.562 D_real: 0.107 D_fake: 0.037 
(epoch: 10, iters: 31396, time: 0.074, data: 0.007) G_GAN: 0.581 G_L1: 8.757 D_real: 0.282 D_fake: 0.096 
(epoch: 10, iters: 31496, time: 0.073, data: 0.006) G_GAN: 1.070 G_L1: 8.185 D_real: 0.242 D_fake: 0.027 
(epoch: 10, iters: 31596, time: 0.073, data: 0.006) G_GAN: 0.931 G_L1: 7.398 D_real: 0.016 D_fake: 0.034 
(epoch: 10, iters: 31696, time: 0.072, data: 0.006) G_GAN: 0.998 G_L1: 8.761 D_real: 0.088 D_fake: 0.019 
(epoch: 10, iters: 31796, time: 0.070, data: 0.006) G_GAN: 0.877 G_L1: 8.377 D_real: 0.017 D_fake: 0.155 
(epoch: 10, iters: 31896, time: 0.071, data: 0.010) G_GAN: 1.051 G_L1: 8.166 D_real: 0.060 D_fake: 0.016 
(epoch: 10, iters: 31996, time: 0.071, data: 0.007) G_GAN: 1.093 G_L1: 8.026 D_real: 0.019 D_fake: 0.093 
(epoch: 10, iters: 32096, time: 0.072, data: 0.008) G_GAN: 0.811 G_L1: 8.197 D_real: 0.190 D_fake: 0.030 
(epoch: 10, iters: 32196, time: 0.071, data: 0.007) G_GAN: 0.837 G_L1: 7.990 D_real: 0.041 D_fake: 0.018 
(epoch: 10, iters: 32296, time: 0.073, data: 0.014) G_GAN: 0.577 G_L1: 7.553 D_real: 0.071 D_fake: 0.056 
(epoch: 10, iters: 32396, time: 0.071, data: 0.008) G_GAN: 0.839 G_L1: 7.702 D_real: 0.119 D_fake: 0.055 
(epoch: 10, iters: 32496, time: 0.073, data: 0.008) G_GAN: 1.599 G_L1: 7.563 D_real: 0.018 D_fake: 0.335 
(epoch: 10, iters: 32596, time: 0.072, data: 0.006) G_GAN: 1.231 G_L1: 8.273 D_real: 0.031 D_fake: 0.021 
(epoch: 10, iters: 32696, time: 0.072, data: 0.009) G_GAN: 0.856 G_L1: 7.159 D_real: 0.083 D_fake: 0.020 
(epoch: 10, iters: 32796, time: 0.072, data: 0.006) G_GAN: 1.175 G_L1: 7.256 D_real: 0.031 D_fake: 0.026 
(epoch: 10, iters: 32896, time: 0.074, data: 0.011) G_GAN: 1.082 G_L1: 9.213 D_real: 0.021 D_fake: 0.068 
(epoch: 10, iters: 32996, time: 0.073, data: 0.007) G_GAN: 1.021 G_L1: 8.590 D_real: 0.019 D_fake: 0.018 
(epoch: 10, iters: 33096, time: 0.072, data: 0.007) G_GAN: 0.960 G_L1: 8.239 D_real: 0.065 D_fake: 0.021 
(epoch: 10, iters: 33196, time: 0.072, data: 0.007) G_GAN: 0.799 G_L1: 8.706 D_real: 0.234 D_fake: 0.013 
(epoch: 10, iters: 33296, time: 0.145, data: 0.006) G_GAN: 1.431 G_L1: 8.864 D_real: 0.030 D_fake: 0.038 
(epoch: 10, iters: 33396, time: 0.072, data: 0.006) G_GAN: 1.204 G_L1: 8.208 D_real: 0.024 D_fake: 0.018 
(epoch: 10, iters: 33496, time: 0.071, data: 0.005) G_GAN: 0.923 G_L1: 8.420 D_real: 0.142 D_fake: 0.169 
(epoch: 10, iters: 33596, time: 0.071, data: 0.007) G_GAN: 1.261 G_L1: 7.224 D_real: 0.044 D_fake: 0.182 
(epoch: 10, iters: 33696, time: 0.074, data: 0.010) G_GAN: 0.632 G_L1: 7.032 D_real: 0.030 D_fake: 0.116 
(epoch: 10, iters: 33796, time: 0.073, data: 0.008) G_GAN: 0.685 G_L1: 7.585 D_real: 0.164 D_fake: 0.022 
(epoch: 10, iters: 33896, time: 0.072, data: 0.006) G_GAN: 0.706 G_L1: 8.429 D_real: 0.092 D_fake: 0.115 
(epoch: 10, iters: 33996, time: 0.073, data: 0.010) G_GAN: 0.597 G_L1: 8.226 D_real: 0.084 D_fake: 0.030 
(epoch: 10, iters: 34096, time: 0.072, data: 0.011) G_GAN: 1.057 G_L1: 7.225 D_real: 0.049 D_fake: 0.156 
(epoch: 10, iters: 34196, time: 0.073, data: 0.009) G_GAN: 0.782 G_L1: 8.323 D_real: 0.117 D_fake: 0.018 
(epoch: 10, iters: 34296, time: 0.073, data: 0.008) G_GAN: 0.965 G_L1: 9.541 D_real: 0.033 D_fake: 0.019 
saving the latest model (epoch 10, total_iters 465000)
(epoch: 10, iters: 34396, time: 0.073, data: 0.014) G_GAN: 0.983 G_L1: 8.822 D_real: 0.034 D_fake: 0.029 
(epoch: 10, iters: 34496, time: 0.073, data: 0.010) G_GAN: 0.838 G_L1: 8.704 D_real: 0.054 D_fake: 0.012 
(epoch: 10, iters: 34596, time: 0.073, data: 0.006) G_GAN: 0.813 G_L1: 8.012 D_real: 0.016 D_fake: 0.368 
(epoch: 10, iters: 34696, time: 0.072, data: 0.009) G_GAN: 0.844 G_L1: 7.079 D_real: 0.242 D_fake: 0.083 
(epoch: 10, iters: 34796, time: 0.074, data: 0.007) G_GAN: 0.962 G_L1: 9.353 D_real: 0.017 D_fake: 0.019 
(epoch: 10, iters: 34896, time: 0.072, data: 0.006) G_GAN: 0.958 G_L1: 7.463 D_real: 0.305 D_fake: 0.361 
(epoch: 10, iters: 34996, time: 0.072, data: 0.006) G_GAN: 0.759 G_L1: 7.917 D_real: 0.076 D_fake: 0.022 
(epoch: 10, iters: 35096, time: 0.072, data: 0.006) G_GAN: 0.988 G_L1: 7.654 D_real: 0.018 D_fake: 0.033 
(epoch: 10, iters: 35196, time: 0.072, data: 0.006) G_GAN: 0.853 G_L1: 8.166 D_real: 0.025 D_fake: 0.135 
(epoch: 10, iters: 35296, time: 0.154, data: 0.005) G_GAN: 1.963 G_L1: 7.167 D_real: 0.037 D_fake: 0.412 
(epoch: 10, iters: 35396, time: 0.073, data: 0.013) G_GAN: 0.803 G_L1: 7.970 D_real: 0.017 D_fake: 0.046 
(epoch: 10, iters: 35496, time: 0.071, data: 0.007) G_GAN: 0.693 G_L1: 8.968 D_real: 0.021 D_fake: 0.085 
(epoch: 10, iters: 35596, time: 0.073, data: 0.007) G_GAN: 0.873 G_L1: 8.795 D_real: 0.016 D_fake: 0.118 
(epoch: 10, iters: 35696, time: 0.073, data: 0.006) G_GAN: 0.556 G_L1: 7.645 D_real: 0.049 D_fake: 0.020 
(epoch: 10, iters: 35796, time: 0.074, data: 0.008) G_GAN: 0.923 G_L1: 8.461 D_real: 0.043 D_fake: 0.022 
(epoch: 10, iters: 35896, time: 0.072, data: 0.007) G_GAN: 1.040 G_L1: 7.889 D_real: 0.044 D_fake: 0.183 
(epoch: 10, iters: 35996, time: 0.074, data: 0.006) G_GAN: 0.938 G_L1: 8.360 D_real: 0.070 D_fake: 0.017 
(epoch: 10, iters: 36096, time: 0.073, data: 0.009) G_GAN: 0.847 G_L1: 9.031 D_real: 0.087 D_fake: 0.017 
(epoch: 10, iters: 36196, time: 0.073, data: 0.007) G_GAN: 1.032 G_L1: 8.396 D_real: 0.020 D_fake: 0.065 
(epoch: 10, iters: 36296, time: 0.073, data: 0.008) G_GAN: 1.052 G_L1: 8.273 D_real: 0.022 D_fake: 0.014 
(epoch: 10, iters: 36396, time: 0.073, data: 0.007) G_GAN: 0.913 G_L1: 7.800 D_real: 0.134 D_fake: 0.018 
(epoch: 10, iters: 36496, time: 0.073, data: 0.010) G_GAN: 1.571 G_L1: 7.508 D_real: 0.187 D_fake: 0.101 
(epoch: 10, iters: 36596, time: 0.070, data: 0.011) G_GAN: 0.999 G_L1: 7.653 D_real: 0.039 D_fake: 0.020 
(epoch: 10, iters: 36696, time: 0.073, data: 0.007) G_GAN: 0.659 G_L1: 7.859 D_real: 0.067 D_fake: 0.036 
(epoch: 10, iters: 36796, time: 0.074, data: 0.011) G_GAN: 0.943 G_L1: 8.395 D_real: 0.140 D_fake: 0.037 
(epoch: 10, iters: 36896, time: 0.072, data: 0.006) G_GAN: 0.708 G_L1: 8.921 D_real: 0.097 D_fake: 0.026 
(epoch: 10, iters: 36996, time: 0.071, data: 0.006) G_GAN: 1.092 G_L1: 7.128 D_real: 0.016 D_fake: 0.113 
(epoch: 10, iters: 37096, time: 0.071, data: 0.010) G_GAN: 0.865 G_L1: 7.578 D_real: 0.029 D_fake: 0.019 
(epoch: 10, iters: 37196, time: 0.072, data: 0.010) G_GAN: 1.112 G_L1: 8.964 D_real: 0.016 D_fake: 0.016 
(epoch: 10, iters: 37296, time: 0.155, data: 0.006) G_GAN: 0.603 G_L1: 7.777 D_real: 0.041 D_fake: 0.050 
(epoch: 10, iters: 37396, time: 0.073, data: 0.009) G_GAN: 0.983 G_L1: 8.065 D_real: 0.039 D_fake: 0.107 
(epoch: 10, iters: 37496, time: 0.070, data: 0.010) G_GAN: 0.958 G_L1: 9.310 D_real: 0.036 D_fake: 0.102 
(epoch: 10, iters: 37596, time: 0.071, data: 0.007) G_GAN: 0.637 G_L1: 8.527 D_real: 0.226 D_fake: 0.082 
(epoch: 10, iters: 37696, time: 0.073, data: 0.007) G_GAN: 0.687 G_L1: 9.321 D_real: 0.024 D_fake: 0.030 
(epoch: 10, iters: 37796, time: 0.072, data: 0.009) G_GAN: 0.910 G_L1: 6.933 D_real: 0.019 D_fake: 0.016 
(epoch: 10, iters: 37896, time: 0.071, data: 0.008) G_GAN: 0.814 G_L1: 7.977 D_real: 0.034 D_fake: 0.015 
(epoch: 10, iters: 37996, time: 0.072, data: 0.009) G_GAN: 0.923 G_L1: 8.154 D_real: 0.032 D_fake: 0.095 
(epoch: 10, iters: 38096, time: 0.072, data: 0.008) G_GAN: 0.868 G_L1: 8.485 D_real: 0.015 D_fake: 0.084 
(epoch: 10, iters: 38196, time: 0.073, data: 0.006) G_GAN: 1.100 G_L1: 9.368 D_real: 0.017 D_fake: 0.015 
(epoch: 10, iters: 38296, time: 0.073, data: 0.006) G_GAN: 1.149 G_L1: 8.039 D_real: 0.016 D_fake: 0.069 
(epoch: 10, iters: 38396, time: 0.074, data: 0.009) G_GAN: 0.929 G_L1: 9.980 D_real: 0.034 D_fake: 0.020 
(epoch: 10, iters: 38496, time: 0.073, data: 0.010) G_GAN: 1.531 G_L1: 7.603 D_real: 0.024 D_fake: 0.119 
(epoch: 10, iters: 38596, time: 0.073, data: 0.006) G_GAN: 1.017 G_L1: 7.414 D_real: 0.021 D_fake: 0.023 
(epoch: 10, iters: 38696, time: 0.073, data: 0.022) G_GAN: 0.791 G_L1: 9.421 D_real: 0.031 D_fake: 0.030 
(epoch: 10, iters: 38796, time: 0.074, data: 0.006) G_GAN: 0.950 G_L1: 8.209 D_real: 0.092 D_fake: 0.066 
(epoch: 10, iters: 38896, time: 0.073, data: 0.007) G_GAN: 1.023 G_L1: 8.226 D_real: 0.034 D_fake: 0.053 
(epoch: 10, iters: 38996, time: 0.074, data: 0.007) G_GAN: 0.743 G_L1: 7.686 D_real: 0.026 D_fake: 0.102 
(epoch: 10, iters: 39096, time: 0.072, data: 0.007) G_GAN: 1.302 G_L1: 6.919 D_real: 0.017 D_fake: 0.026 
(epoch: 10, iters: 39196, time: 0.073, data: 0.008) G_GAN: 0.957 G_L1: 7.991 D_real: 0.019 D_fake: 0.027 
(epoch: 10, iters: 39296, time: 0.153, data: 0.008) G_GAN: 0.746 G_L1: 9.019 D_real: 0.095 D_fake: 0.018 
saving the latest model (epoch 10, total_iters 470000)
(epoch: 10, iters: 39396, time: 0.072, data: 0.007) G_GAN: 0.599 G_L1: 8.647 D_real: 0.230 D_fake: 0.019 
(epoch: 10, iters: 39496, time: 0.072, data: 0.007) G_GAN: 0.823 G_L1: 7.823 D_real: 0.177 D_fake: 0.148 
(epoch: 10, iters: 39596, time: 0.073, data: 0.011) G_GAN: 1.089 G_L1: 7.766 D_real: 0.046 D_fake: 0.039 
(epoch: 10, iters: 39696, time: 0.073, data: 0.007) G_GAN: 1.083 G_L1: 8.850 D_real: 0.015 D_fake: 0.071 
(epoch: 10, iters: 39796, time: 0.072, data: 0.009) G_GAN: 1.334 G_L1: 8.462 D_real: 0.041 D_fake: 0.046 
(epoch: 10, iters: 39896, time: 0.073, data: 0.015) G_GAN: 0.885 G_L1: 7.324 D_real: 0.027 D_fake: 0.030 
(epoch: 10, iters: 39996, time: 0.071, data: 0.005) G_GAN: 0.975 G_L1: 7.318 D_real: 0.030 D_fake: 0.061 
(epoch: 10, iters: 40096, time: 0.071, data: 0.007) G_GAN: 0.604 G_L1: 7.788 D_real: 0.101 D_fake: 0.089 
(epoch: 10, iters: 40196, time: 0.073, data: 0.007) G_GAN: 0.935 G_L1: 7.974 D_real: 0.024 D_fake: 0.034 
(epoch: 10, iters: 40296, time: 0.071, data: 0.011) G_GAN: 1.145 G_L1: 8.322 D_real: 0.031 D_fake: 0.024 
(epoch: 10, iters: 40396, time: 0.072, data: 0.007) G_GAN: 1.084 G_L1: 8.765 D_real: 0.029 D_fake: 0.182 
(epoch: 10, iters: 40496, time: 0.072, data: 0.006) G_GAN: 0.615 G_L1: 8.492 D_real: 0.272 D_fake: 0.015 
(epoch: 10, iters: 40596, time: 0.073, data: 0.006) G_GAN: 0.963 G_L1: 7.398 D_real: 0.056 D_fake: 0.068 
(epoch: 10, iters: 40696, time: 0.072, data: 0.008) G_GAN: 0.570 G_L1: 8.326 D_real: 0.277 D_fake: 0.025 
(epoch: 10, iters: 40796, time: 0.071, data: 0.011) G_GAN: 0.699 G_L1: 7.923 D_real: 0.027 D_fake: 0.078 
(epoch: 10, iters: 40896, time: 0.072, data: 0.009) G_GAN: 1.295 G_L1: 7.372 D_real: 0.028 D_fake: 0.054 
(epoch: 10, iters: 40996, time: 0.074, data: 0.009) G_GAN: 0.900 G_L1: 8.098 D_real: 0.061 D_fake: 0.023 
(epoch: 10, iters: 41096, time: 0.074, data: 0.007) G_GAN: 0.958 G_L1: 7.782 D_real: 0.073 D_fake: 0.369 
(epoch: 10, iters: 41196, time: 0.072, data: 0.012) G_GAN: 1.157 G_L1: 7.780 D_real: 0.021 D_fake: 0.145 
(epoch: 10, iters: 41296, time: 0.154, data: 0.006) G_GAN: 0.696 G_L1: 7.488 D_real: 0.194 D_fake: 0.016 
(epoch: 10, iters: 41396, time: 0.071, data: 0.008) G_GAN: 1.027 G_L1: 7.803 D_real: 0.025 D_fake: 0.057 
(epoch: 10, iters: 41496, time: 0.073, data: 0.011) G_GAN: 1.052 G_L1: 7.609 D_real: 0.017 D_fake: 0.019 
(epoch: 10, iters: 41596, time: 0.074, data: 0.007) G_GAN: 0.785 G_L1: 8.014 D_real: 0.104 D_fake: 0.014 
(epoch: 10, iters: 41696, time: 0.073, data: 0.007) G_GAN: 0.583 G_L1: 9.859 D_real: 0.033 D_fake: 0.039 
(epoch: 10, iters: 41796, time: 0.073, data: 0.010) G_GAN: 0.815 G_L1: 7.090 D_real: 0.045 D_fake: 0.037 
(epoch: 10, iters: 41896, time: 0.071, data: 0.007) G_GAN: 0.394 G_L1: 7.794 D_real: 0.237 D_fake: 0.051 
(epoch: 10, iters: 41996, time: 0.071, data: 0.006) G_GAN: 1.138 G_L1: 9.430 D_real: 0.017 D_fake: 0.024 
(epoch: 10, iters: 42096, time: 0.070, data: 0.006) G_GAN: 0.991 G_L1: 8.952 D_real: 0.025 D_fake: 0.013 
(epoch: 10, iters: 42196, time: 0.072, data: 0.006) G_GAN: 0.830 G_L1: 7.059 D_real: 0.076 D_fake: 0.079 
(epoch: 10, iters: 42296, time: 0.070, data: 0.012) G_GAN: 1.149 G_L1: 7.839 D_real: 0.043 D_fake: 0.275 
(epoch: 10, iters: 42396, time: 0.071, data: 0.006) G_GAN: 0.762 G_L1: 8.141 D_real: 0.119 D_fake: 0.014 
(epoch: 10, iters: 42496, time: 0.073, data: 0.008) G_GAN: 0.841 G_L1: 7.495 D_real: 0.032 D_fake: 0.024 
(epoch: 10, iters: 42596, time: 0.073, data: 0.006) G_GAN: 1.136 G_L1: 7.248 D_real: 0.041 D_fake: 0.022 
(epoch: 10, iters: 42696, time: 0.069, data: 0.008) G_GAN: 0.813 G_L1: 7.536 D_real: 0.046 D_fake: 0.054 
(epoch: 10, iters: 42796, time: 0.072, data: 0.006) G_GAN: 0.720 G_L1: 8.264 D_real: 0.039 D_fake: 0.019 
(epoch: 10, iters: 42896, time: 0.072, data: 0.007) G_GAN: 0.792 G_L1: 7.385 D_real: 0.065 D_fake: 0.019 
(epoch: 10, iters: 42996, time: 0.071, data: 0.009) G_GAN: 0.464 G_L1: 7.537 D_real: 0.287 D_fake: 0.015 
(epoch: 10, iters: 43096, time: 0.074, data: 0.011) G_GAN: 0.913 G_L1: 8.683 D_real: 0.016 D_fake: 0.021 
(epoch: 10, iters: 43196, time: 0.073, data: 0.008) G_GAN: 1.082 G_L1: 7.923 D_real: 0.015 D_fake: 0.115 
(epoch: 10, iters: 43296, time: 0.148, data: 0.006) G_GAN: 0.935 G_L1: 8.393 D_real: 0.015 D_fake: 0.012 
(epoch: 10, iters: 43396, time: 0.073, data: 0.007) G_GAN: 0.938 G_L1: 9.001 D_real: 0.021 D_fake: 0.050 
(epoch: 10, iters: 43496, time: 0.073, data: 0.010) G_GAN: 0.681 G_L1: 7.195 D_real: 0.066 D_fake: 0.095 
(epoch: 10, iters: 43596, time: 0.073, data: 0.012) G_GAN: 0.804 G_L1: 7.942 D_real: 0.038 D_fake: 0.046 
(epoch: 10, iters: 43696, time: 0.073, data: 0.010) G_GAN: 0.840 G_L1: 7.153 D_real: 0.038 D_fake: 0.088 
(epoch: 10, iters: 43796, time: 0.073, data: 0.007) G_GAN: 0.808 G_L1: 8.145 D_real: 0.032 D_fake: 0.013 
(epoch: 10, iters: 43896, time: 0.072, data: 0.007) G_GAN: 1.058 G_L1: 7.116 D_real: 0.060 D_fake: 0.152 
(epoch: 10, iters: 43996, time: 0.071, data: 0.006) G_GAN: 0.844 G_L1: 7.996 D_real: 0.181 D_fake: 0.012 
(epoch: 10, iters: 44096, time: 0.073, data: 0.009) G_GAN: 0.901 G_L1: 7.689 D_real: 0.038 D_fake: 0.050 
(epoch: 10, iters: 44196, time: 0.071, data: 0.012) G_GAN: 1.369 G_L1: 8.314 D_real: 0.072 D_fake: 0.301 
(epoch: 10, iters: 44296, time: 0.072, data: 0.006) G_GAN: 1.035 G_L1: 8.576 D_real: 0.020 D_fake: 0.025 
saving the latest model (epoch 10, total_iters 475000)
(epoch: 10, iters: 44396, time: 0.073, data: 0.008) G_GAN: 1.102 G_L1: 7.705 D_real: 0.017 D_fake: 0.023 
(epoch: 10, iters: 44496, time: 0.071, data: 0.010) G_GAN: 1.418 G_L1: 9.460 D_real: 0.167 D_fake: 0.298 
(epoch: 10, iters: 44596, time: 0.072, data: 0.009) G_GAN: 0.786 G_L1: 8.546 D_real: 0.077 D_fake: 0.018 
(epoch: 10, iters: 44696, time: 0.071, data: 0.008) G_GAN: 0.564 G_L1: 7.737 D_real: 0.221 D_fake: 0.018 
(epoch: 10, iters: 44796, time: 0.071, data: 0.009) G_GAN: 0.995 G_L1: 7.444 D_real: 0.180 D_fake: 0.022 
(epoch: 10, iters: 44896, time: 0.071, data: 0.008) G_GAN: 0.627 G_L1: 8.111 D_real: 0.065 D_fake: 0.028 
(epoch: 10, iters: 44996, time: 0.074, data: 0.013) G_GAN: 0.940 G_L1: 7.814 D_real: 0.020 D_fake: 0.105 
(epoch: 10, iters: 45096, time: 0.071, data: 0.020) G_GAN: 0.828 G_L1: 9.336 D_real: 0.100 D_fake: 0.026 
(epoch: 10, iters: 45196, time: 0.071, data: 0.007) G_GAN: 0.995 G_L1: 8.475 D_real: 0.014 D_fake: 0.076 
(epoch: 10, iters: 45296, time: 0.152, data: 0.007) G_GAN: 0.886 G_L1: 7.638 D_real: 0.308 D_fake: 0.014 
(epoch: 10, iters: 45396, time: 0.074, data: 0.007) G_GAN: 0.970 G_L1: 8.492 D_real: 0.099 D_fake: 0.070 
(epoch: 10, iters: 45496, time: 0.073, data: 0.011) G_GAN: 0.977 G_L1: 8.783 D_real: 0.019 D_fake: 0.140 
(epoch: 10, iters: 45596, time: 0.072, data: 0.012) G_GAN: 0.821 G_L1: 7.276 D_real: 0.018 D_fake: 0.095 
(epoch: 10, iters: 45696, time: 0.074, data: 0.006) G_GAN: 0.751 G_L1: 7.929 D_real: 0.050 D_fake: 0.023 
(epoch: 10, iters: 45796, time: 0.073, data: 0.007) G_GAN: 0.817 G_L1: 8.641 D_real: 0.016 D_fake: 0.028 
(epoch: 10, iters: 45896, time: 0.073, data: 0.006) G_GAN: 0.852 G_L1: 8.666 D_real: 0.016 D_fake: 0.015 
(epoch: 10, iters: 45996, time: 0.073, data: 0.010) G_GAN: 0.894 G_L1: 8.445 D_real: 0.016 D_fake: 0.018 
(epoch: 10, iters: 46096, time: 0.073, data: 0.009) G_GAN: 0.707 G_L1: 7.428 D_real: 0.028 D_fake: 0.111 
(epoch: 10, iters: 46196, time: 0.073, data: 0.007) G_GAN: 0.914 G_L1: 8.742 D_real: 0.017 D_fake: 0.021 
(epoch: 10, iters: 46296, time: 0.072, data: 0.005) G_GAN: 1.039 G_L1: 9.670 D_real: 0.015 D_fake: 0.081 
(epoch: 10, iters: 46396, time: 0.071, data: 0.007) G_GAN: 0.788 G_L1: 8.163 D_real: 0.393 D_fake: 0.079 
(epoch: 10, iters: 46496, time: 0.073, data: 0.006) G_GAN: 0.974 G_L1: 8.718 D_real: 0.033 D_fake: 0.221 
(epoch: 10, iters: 46596, time: 0.072, data: 0.007) G_GAN: 0.920 G_L1: 8.744 D_real: 0.013 D_fake: 0.087 
(epoch: 10, iters: 46696, time: 0.073, data: 0.008) G_GAN: 0.980 G_L1: 6.990 D_real: 0.028 D_fake: 0.020 
(epoch: 10, iters: 46796, time: 0.070, data: 0.007) G_GAN: 9.677 G_L1: 10.435 D_real: 79.836 D_fake: 56.235 
(epoch: 10, iters: 46896, time: 0.073, data: 0.006) G_GAN: 0.374 G_L1: 7.058 D_real: 0.318 D_fake: 0.160 
(epoch: 10, iters: 46996, time: 0.074, data: 0.006) G_GAN: 0.248 G_L1: 7.161 D_real: 0.304 D_fake: 0.327 
(epoch: 10, iters: 47096, time: 0.073, data: 0.006) G_GAN: 0.323 G_L1: 7.696 D_real: 0.287 D_fake: 0.216 
(epoch: 10, iters: 47196, time: 0.073, data: 0.010) G_GAN: 0.296 G_L1: 7.396 D_real: 0.414 D_fake: 0.218 
(epoch: 10, iters: 47296, time: 0.153, data: 0.006) G_GAN: 0.351 G_L1: 6.446 D_real: 0.263 D_fake: 0.187 
(epoch: 10, iters: 47396, time: 0.074, data: 0.013) G_GAN: 0.303 G_L1: 6.531 D_real: 0.169 D_fake: 0.279 
(epoch: 10, iters: 47496, time: 0.073, data: 0.006) G_GAN: 0.378 G_L1: 6.677 D_real: 0.181 D_fake: 0.164 
(epoch: 10, iters: 47596, time: 0.073, data: 0.008) G_GAN: 0.336 G_L1: 7.068 D_real: 0.183 D_fake: 0.181 
(epoch: 10, iters: 47696, time: 0.072, data: 0.010) G_GAN: 0.417 G_L1: 7.880 D_real: 0.134 D_fake: 0.138 
(epoch: 10, iters: 47796, time: 0.073, data: 0.006) G_GAN: 0.429 G_L1: 8.397 D_real: 0.074 D_fake: 0.160 
saving the model at the end of epoch 10, iters 478560
End of epoch 10 / 20 	 Time Taken: 1974 sec
learning rate 0.0002000 -> 0.0002000
(epoch: 11, iters: 40, time: 0.068, data: 0.008) G_GAN: 0.587 G_L1: 7.932 D_real: 0.166 D_fake: 0.070 
(epoch: 11, iters: 140, time: 0.071, data: 0.006) G_GAN: 0.431 G_L1: 6.537 D_real: 0.386 D_fake: 0.139 
(epoch: 11, iters: 240, time: 0.153, data: 0.011) G_GAN: 0.288 G_L1: 7.298 D_real: 0.160 D_fake: 0.342 
(epoch: 11, iters: 340, time: 0.071, data: 0.007) G_GAN: 0.530 G_L1: 6.870 D_real: 0.190 D_fake: 0.114 
(epoch: 11, iters: 440, time: 0.070, data: 0.011) G_GAN: 0.280 G_L1: 6.875 D_real: 0.129 D_fake: 0.333 
(epoch: 11, iters: 540, time: 0.068, data: 0.006) G_GAN: 0.269 G_L1: 5.697 D_real: 0.346 D_fake: 0.114 
(epoch: 11, iters: 640, time: 0.071, data: 0.007) G_GAN: 0.513 G_L1: 6.983 D_real: 0.032 D_fake: 0.328 
(epoch: 11, iters: 740, time: 0.068, data: 0.009) G_GAN: 0.587 G_L1: 8.635 D_real: 0.058 D_fake: 0.367 
(epoch: 11, iters: 840, time: 0.071, data: 0.007) G_GAN: 0.437 G_L1: 9.199 D_real: 0.053 D_fake: 0.318 
(epoch: 11, iters: 940, time: 0.071, data: 0.007) G_GAN: 0.369 G_L1: 7.287 D_real: 0.173 D_fake: 0.174 
(epoch: 11, iters: 1040, time: 0.071, data: 0.006) G_GAN: 0.547 G_L1: 7.336 D_real: 0.215 D_fake: 0.055 
(epoch: 11, iters: 1140, time: 0.071, data: 0.006) G_GAN: 0.446 G_L1: 7.004 D_real: 0.151 D_fake: 0.266 
(epoch: 11, iters: 1240, time: 0.072, data: 0.007) G_GAN: 0.413 G_L1: 6.400 D_real: 0.311 D_fake: 0.100 
(epoch: 11, iters: 1340, time: 0.071, data: 0.006) G_GAN: 0.287 G_L1: 6.409 D_real: 0.373 D_fake: 0.100 
(epoch: 11, iters: 1440, time: 0.153, data: 0.008) G_GAN: 0.392 G_L1: 8.031 D_real: 0.182 D_fake: 0.128 
saving the latest model (epoch 11, total_iters 480000)
(epoch: 11, iters: 1540, time: 0.069, data: 0.008) G_GAN: 0.930 G_L1: 9.404 D_real: 0.046 D_fake: 0.515 
(epoch: 11, iters: 1640, time: 0.071, data: 0.007) G_GAN: 0.520 G_L1: 8.106 D_real: 0.095 D_fake: 0.137 
(epoch: 11, iters: 1740, time: 0.069, data: 0.009) G_GAN: 0.065 G_L1: 6.800 D_real: 0.930 D_fake: 0.039 
(epoch: 11, iters: 1840, time: 0.071, data: 0.008) G_GAN: 0.263 G_L1: 7.489 D_real: 0.489 D_fake: 0.060 
(epoch: 11, iters: 1940, time: 0.069, data: 0.008) G_GAN: 0.514 G_L1: 6.865 D_real: 0.247 D_fake: 0.114 
(epoch: 11, iters: 2040, time: 0.070, data: 0.007) G_GAN: 0.417 G_L1: 7.278 D_real: 0.103 D_fake: 0.178 
(epoch: 11, iters: 2140, time: 0.071, data: 0.008) G_GAN: 0.363 G_L1: 6.400 D_real: 0.164 D_fake: 0.089 
(epoch: 11, iters: 2240, time: 0.071, data: 0.007) G_GAN: 0.468 G_L1: 8.491 D_real: 0.438 D_fake: 0.017 
(epoch: 11, iters: 2340, time: 0.071, data: 0.006) G_GAN: 0.678 G_L1: 8.659 D_real: 0.025 D_fake: 0.207 
(epoch: 11, iters: 2440, time: 0.071, data: 0.009) G_GAN: 0.565 G_L1: 7.055 D_real: 0.037 D_fake: 0.216 
(epoch: 11, iters: 2540, time: 0.071, data: 0.007) G_GAN: 0.234 G_L1: 8.024 D_real: 0.223 D_fake: 0.132 
(epoch: 11, iters: 2640, time: 0.072, data: 0.010) G_GAN: 0.506 G_L1: 7.009 D_real: 0.042 D_fake: 0.274 
(epoch: 11, iters: 2740, time: 0.071, data: 0.009) G_GAN: 0.437 G_L1: 6.630 D_real: 0.358 D_fake: 0.020 
(epoch: 11, iters: 2840, time: 0.072, data: 0.006) G_GAN: 0.336 G_L1: 6.469 D_real: 0.138 D_fake: 0.139 
(epoch: 11, iters: 2940, time: 0.068, data: 0.009) G_GAN: 0.318 G_L1: 7.186 D_real: 0.183 D_fake: 0.325 
(epoch: 11, iters: 3040, time: 0.071, data: 0.011) G_GAN: 0.384 G_L1: 6.971 D_real: 0.044 D_fake: 0.311 
(epoch: 11, iters: 3140, time: 0.070, data: 0.007) G_GAN: 0.577 G_L1: 9.011 D_real: 0.157 D_fake: 0.025 
(epoch: 11, iters: 3240, time: 0.069, data: 0.007) G_GAN: 0.472 G_L1: 7.592 D_real: 0.061 D_fake: 0.130 
(epoch: 11, iters: 3340, time: 0.071, data: 0.009) G_GAN: 0.470 G_L1: 8.247 D_real: 0.027 D_fake: 0.360 
(epoch: 11, iters: 3440, time: 0.156, data: 0.008) G_GAN: 0.670 G_L1: 7.573 D_real: 0.041 D_fake: 0.267 
(epoch: 11, iters: 3540, time: 0.067, data: 0.014) G_GAN: 0.464 G_L1: 7.853 D_real: 0.195 D_fake: 0.108 
(epoch: 11, iters: 3640, time: 0.071, data: 0.006) G_GAN: 0.339 G_L1: 7.974 D_real: 0.376 D_fake: 0.060 
(epoch: 11, iters: 3740, time: 0.071, data: 0.006) G_GAN: 0.591 G_L1: 9.048 D_real: 0.103 D_fake: 0.044 
(epoch: 11, iters: 3840, time: 0.068, data: 0.009) G_GAN: 0.504 G_L1: 7.070 D_real: 0.111 D_fake: 0.087 
(epoch: 11, iters: 3940, time: 0.070, data: 0.007) G_GAN: 0.656 G_L1: 9.177 D_real: 0.111 D_fake: 0.063 
(epoch: 11, iters: 4040, time: 0.068, data: 0.007) G_GAN: 0.804 G_L1: 8.265 D_real: 0.021 D_fake: 0.141 
(epoch: 11, iters: 4140, time: 0.068, data: 0.009) G_GAN: 0.941 G_L1: 9.321 D_real: 0.017 D_fake: 0.078 
(epoch: 11, iters: 4240, time: 0.069, data: 0.006) G_GAN: 0.582 G_L1: 8.212 D_real: 0.236 D_fake: 0.033 
(epoch: 11, iters: 4340, time: 0.070, data: 0.006) G_GAN: 0.776 G_L1: 7.970 D_real: 0.048 D_fake: 0.076 
(epoch: 11, iters: 4440, time: 0.071, data: 0.007) G_GAN: 0.667 G_L1: 7.922 D_real: 0.035 D_fake: 0.101 
(epoch: 11, iters: 4540, time: 0.072, data: 0.010) G_GAN: 0.514 G_L1: 8.176 D_real: 0.202 D_fake: 0.055 
(epoch: 11, iters: 4640, time: 0.071, data: 0.007) G_GAN: 0.644 G_L1: 6.936 D_real: 0.219 D_fake: 0.024 
(epoch: 11, iters: 4740, time: 0.066, data: 0.010) G_GAN: 0.697 G_L1: 8.172 D_real: 0.070 D_fake: 0.019 
(epoch: 11, iters: 4840, time: 0.070, data: 0.008) G_GAN: 0.896 G_L1: 7.045 D_real: 0.034 D_fake: 0.093 
(epoch: 11, iters: 4940, time: 0.072, data: 0.007) G_GAN: 0.595 G_L1: 6.951 D_real: 0.084 D_fake: 0.039 
(epoch: 11, iters: 5040, time: 0.075, data: 0.006) G_GAN: 0.667 G_L1: 7.913 D_real: 0.171 D_fake: 0.052 
(epoch: 11, iters: 5140, time: 0.071, data: 0.007) G_GAN: 0.601 G_L1: 9.549 D_real: 0.037 D_fake: 0.069 
(epoch: 11, iters: 5240, time: 0.068, data: 0.011) G_GAN: 0.849 G_L1: 7.678 D_real: 0.080 D_fake: 0.049 
(epoch: 11, iters: 5340, time: 0.070, data: 0.008) G_GAN: 0.810 G_L1: 8.322 D_real: 0.014 D_fake: 0.129 
(epoch: 11, iters: 5440, time: 0.146, data: 0.009) G_GAN: 0.853 G_L1: 8.390 D_real: 0.026 D_fake: 0.215 
(epoch: 11, iters: 5540, time: 0.067, data: 0.006) G_GAN: 0.869 G_L1: 8.388 D_real: 0.013 D_fake: 0.012 
(epoch: 11, iters: 5640, time: 0.070, data: 0.007) G_GAN: 0.851 G_L1: 7.308 D_real: 0.200 D_fake: 0.026 
(epoch: 11, iters: 5740, time: 0.068, data: 0.007) G_GAN: 0.870 G_L1: 7.771 D_real: 0.258 D_fake: 0.096 
(epoch: 11, iters: 5840, time: 0.070, data: 0.011) G_GAN: 0.994 G_L1: 8.171 D_real: 0.255 D_fake: 0.010 
(epoch: 11, iters: 5940, time: 0.071, data: 0.006) G_GAN: 0.821 G_L1: 7.864 D_real: 0.028 D_fake: 0.084 
(epoch: 11, iters: 6040, time: 0.069, data: 0.005) G_GAN: 0.890 G_L1: 8.425 D_real: 0.034 D_fake: 0.084 
(epoch: 11, iters: 6140, time: 0.068, data: 0.006) G_GAN: 0.862 G_L1: 8.584 D_real: 0.022 D_fake: 0.038 
(epoch: 11, iters: 6240, time: 0.071, data: 0.006) G_GAN: 0.584 G_L1: 7.571 D_real: 0.396 D_fake: 0.017 
(epoch: 11, iters: 6340, time: 0.073, data: 0.007) G_GAN: 1.008 G_L1: 9.488 D_real: 0.015 D_fake: 0.025 
(epoch: 11, iters: 6440, time: 0.071, data: 0.008) G_GAN: 0.731 G_L1: 9.113 D_real: 0.026 D_fake: 0.041 
saving the latest model (epoch 11, total_iters 485000)
(epoch: 11, iters: 6540, time: 0.072, data: 0.017) G_GAN: 0.420 G_L1: 7.888 D_real: 0.232 D_fake: 0.075 
(epoch: 11, iters: 6640, time: 0.071, data: 0.009) G_GAN: 0.995 G_L1: 10.236 D_real: 0.017 D_fake: 0.015 
(epoch: 11, iters: 6740, time: 0.069, data: 0.008) G_GAN: 0.880 G_L1: 8.931 D_real: 0.041 D_fake: 0.182 
(epoch: 11, iters: 6840, time: 0.069, data: 0.009) G_GAN: 1.151 G_L1: 9.099 D_real: 0.057 D_fake: 0.295 
(epoch: 11, iters: 6940, time: 0.072, data: 0.006) G_GAN: 0.700 G_L1: 9.445 D_real: 0.022 D_fake: 0.199 
(epoch: 11, iters: 7040, time: 0.071, data: 0.010) G_GAN: 0.966 G_L1: 7.636 D_real: 0.011 D_fake: 0.018 
(epoch: 11, iters: 7140, time: 0.071, data: 0.006) G_GAN: 0.821 G_L1: 9.181 D_real: 0.029 D_fake: 0.040 
(epoch: 11, iters: 7240, time: 0.071, data: 0.007) G_GAN: 0.881 G_L1: 8.475 D_real: 0.024 D_fake: 0.054 
(epoch: 11, iters: 7340, time: 0.068, data: 0.007) G_GAN: 0.594 G_L1: 7.759 D_real: 0.126 D_fake: 0.046 
(epoch: 11, iters: 7440, time: 0.152, data: 0.007) G_GAN: 1.060 G_L1: 8.559 D_real: 0.057 D_fake: 0.051 
(epoch: 11, iters: 7540, time: 0.069, data: 0.010) G_GAN: 0.950 G_L1: 7.888 D_real: 0.012 D_fake: 0.099 
(epoch: 11, iters: 7640, time: 0.067, data: 0.007) G_GAN: 0.699 G_L1: 7.675 D_real: 0.030 D_fake: 0.107 
(epoch: 11, iters: 7740, time: 0.072, data: 0.009) G_GAN: 0.900 G_L1: 7.246 D_real: 0.052 D_fake: 0.156 
(epoch: 11, iters: 7840, time: 0.071, data: 0.006) G_GAN: 0.738 G_L1: 8.729 D_real: 0.046 D_fake: 0.045 
(epoch: 11, iters: 7940, time: 0.071, data: 0.007) G_GAN: 0.877 G_L1: 8.035 D_real: 0.051 D_fake: 0.066 
(epoch: 11, iters: 8040, time: 0.068, data: 0.006) G_GAN: 0.901 G_L1: 7.395 D_real: 0.051 D_fake: 0.012 
(epoch: 11, iters: 8140, time: 0.068, data: 0.012) G_GAN: 0.622 G_L1: 6.909 D_real: 0.089 D_fake: 0.021 
(epoch: 11, iters: 8240, time: 0.066, data: 0.007) G_GAN: 0.818 G_L1: 7.848 D_real: 0.037 D_fake: 0.033 
(epoch: 11, iters: 8340, time: 0.069, data: 0.007) G_GAN: 0.986 G_L1: 6.668 D_real: 0.065 D_fake: 0.036 
(epoch: 11, iters: 8440, time: 0.067, data: 0.007) G_GAN: 0.766 G_L1: 6.547 D_real: 0.064 D_fake: 0.073 
(epoch: 11, iters: 8540, time: 0.069, data: 0.006) G_GAN: 1.039 G_L1: 7.956 D_real: 0.017 D_fake: 0.034 
(epoch: 11, iters: 8640, time: 0.069, data: 0.010) G_GAN: 1.069 G_L1: 7.955 D_real: 0.170 D_fake: 0.014 
(epoch: 11, iters: 8740, time: 0.071, data: 0.006) G_GAN: 0.885 G_L1: 8.176 D_real: 0.020 D_fake: 0.071 
(epoch: 11, iters: 8840, time: 0.071, data: 0.007) G_GAN: 0.727 G_L1: 8.197 D_real: 0.072 D_fake: 0.069 
(epoch: 11, iters: 8940, time: 0.071, data: 0.007) G_GAN: 0.979 G_L1: 9.194 D_real: 0.025 D_fake: 0.035 
(epoch: 11, iters: 9040, time: 0.072, data: 0.008) G_GAN: 0.801 G_L1: 8.873 D_real: 0.035 D_fake: 0.025 
(epoch: 11, iters: 9140, time: 0.070, data: 0.008) G_GAN: 1.333 G_L1: 9.616 D_real: 0.036 D_fake: 0.115 
(epoch: 11, iters: 9240, time: 0.071, data: 0.007) G_GAN: 0.956 G_L1: 7.890 D_real: 0.104 D_fake: 0.021 
(epoch: 11, iters: 9340, time: 0.074, data: 0.009) G_GAN: 0.791 G_L1: 8.614 D_real: 0.022 D_fake: 0.107 
(epoch: 11, iters: 9440, time: 0.152, data: 0.008) G_GAN: 0.597 G_L1: 8.161 D_real: 0.098 D_fake: 0.038 
(epoch: 11, iters: 9540, time: 0.073, data: 0.007) G_GAN: 0.585 G_L1: 7.897 D_real: 0.209 D_fake: 0.014 
(epoch: 11, iters: 9640, time: 0.073, data: 0.007) G_GAN: 0.660 G_L1: 7.494 D_real: 0.230 D_fake: 0.015 
(epoch: 11, iters: 9740, time: 0.071, data: 0.007) G_GAN: 0.959 G_L1: 8.995 D_real: 0.013 D_fake: 0.049 
(epoch: 11, iters: 9840, time: 0.073, data: 0.006) G_GAN: 1.082 G_L1: 8.317 D_real: 0.017 D_fake: 0.019 
(epoch: 11, iters: 9940, time: 0.072, data: 0.005) G_GAN: 0.763 G_L1: 8.364 D_real: 0.077 D_fake: 0.044 
(epoch: 11, iters: 10040, time: 0.071, data: 0.007) G_GAN: 0.823 G_L1: 8.437 D_real: 0.030 D_fake: 0.024 
(epoch: 11, iters: 10140, time: 0.071, data: 0.008) G_GAN: 0.822 G_L1: 8.142 D_real: 0.145 D_fake: 0.012 
(epoch: 11, iters: 10240, time: 0.074, data: 0.010) G_GAN: 0.882 G_L1: 8.416 D_real: 0.022 D_fake: 0.158 
(epoch: 11, iters: 10340, time: 0.070, data: 0.007) G_GAN: 0.898 G_L1: 9.246 D_real: 0.018 D_fake: 0.017 
(epoch: 11, iters: 10440, time: 0.071, data: 0.009) G_GAN: 1.018 G_L1: 7.507 D_real: 0.017 D_fake: 0.222 
(epoch: 11, iters: 10540, time: 0.072, data: 0.007) G_GAN: 0.951 G_L1: 8.156 D_real: 0.063 D_fake: 0.009 
(epoch: 11, iters: 10640, time: 0.071, data: 0.007) G_GAN: 0.757 G_L1: 9.201 D_real: 0.045 D_fake: 0.045 
(epoch: 11, iters: 10740, time: 0.073, data: 0.008) G_GAN: 0.806 G_L1: 8.189 D_real: 0.022 D_fake: 0.107 
(epoch: 11, iters: 10840, time: 0.071, data: 0.006) G_GAN: 1.135 G_L1: 8.159 D_real: 0.177 D_fake: 0.052 
(epoch: 11, iters: 10940, time: 0.074, data: 0.011) G_GAN: 0.810 G_L1: 8.612 D_real: 0.015 D_fake: 0.049 
(epoch: 11, iters: 11040, time: 0.071, data: 0.007) G_GAN: 0.878 G_L1: 8.380 D_real: 0.016 D_fake: 0.046 
(epoch: 11, iters: 11140, time: 0.074, data: 0.009) G_GAN: 0.866 G_L1: 7.288 D_real: 0.094 D_fake: 0.021 
(epoch: 11, iters: 11240, time: 0.073, data: 0.007) G_GAN: 0.815 G_L1: 8.685 D_real: 0.136 D_fake: 0.010 
(epoch: 11, iters: 11340, time: 0.073, data: 0.011) G_GAN: 0.920 G_L1: 8.919 D_real: 0.295 D_fake: 0.091 
(epoch: 11, iters: 11440, time: 0.152, data: 0.009) G_GAN: 0.636 G_L1: 7.561 D_real: 0.062 D_fake: 0.015 
saving the latest model (epoch 11, total_iters 490000)
(epoch: 11, iters: 11540, time: 0.072, data: 0.006) G_GAN: 0.925 G_L1: 8.277 D_real: 0.013 D_fake: 0.040 
(epoch: 11, iters: 11640, time: 0.071, data: 0.011) G_GAN: 1.243 G_L1: 8.255 D_real: 0.012 D_fake: 0.086 
(epoch: 11, iters: 11740, time: 0.074, data: 0.008) G_GAN: 0.877 G_L1: 9.443 D_real: 0.050 D_fake: 0.074 
(epoch: 11, iters: 11840, time: 0.073, data: 0.007) G_GAN: 0.570 G_L1: 7.069 D_real: 0.067 D_fake: 0.013 
(epoch: 11, iters: 11940, time: 0.071, data: 0.006) G_GAN: 0.677 G_L1: 7.255 D_real: 0.063 D_fake: 0.017 
(epoch: 11, iters: 12040, time: 0.073, data: 0.007) G_GAN: 0.775 G_L1: 8.795 D_real: 0.019 D_fake: 0.042 
(epoch: 11, iters: 12140, time: 0.073, data: 0.012) G_GAN: 1.237 G_L1: 7.262 D_real: 0.022 D_fake: 0.146 
(epoch: 11, iters: 12240, time: 0.073, data: 0.007) G_GAN: 0.880 G_L1: 7.229 D_real: 0.033 D_fake: 0.302 
(epoch: 11, iters: 12340, time: 0.074, data: 0.006) G_GAN: 0.931 G_L1: 8.515 D_real: 0.088 D_fake: 0.010 
(epoch: 11, iters: 12440, time: 0.074, data: 0.006) G_GAN: 0.781 G_L1: 6.998 D_real: 0.021 D_fake: 0.013 
(epoch: 11, iters: 12540, time: 0.071, data: 0.011) G_GAN: 0.710 G_L1: 7.318 D_real: 0.171 D_fake: 0.098 
(epoch: 11, iters: 12640, time: 0.072, data: 0.006) G_GAN: 1.362 G_L1: 9.834 D_real: 0.027 D_fake: 0.139 
(epoch: 11, iters: 12740, time: 0.073, data: 0.007) G_GAN: 0.770 G_L1: 9.049 D_real: 0.035 D_fake: 0.021 
(epoch: 11, iters: 12840, time: 0.074, data: 0.006) G_GAN: 0.831 G_L1: 8.460 D_real: 0.063 D_fake: 0.010 
(epoch: 11, iters: 12940, time: 0.072, data: 0.007) G_GAN: 0.759 G_L1: 8.126 D_real: 0.042 D_fake: 0.118 
(epoch: 11, iters: 13040, time: 0.073, data: 0.008) G_GAN: 0.900 G_L1: 7.919 D_real: 0.013 D_fake: 0.054 
(epoch: 11, iters: 13140, time: 0.072, data: 0.007) G_GAN: 0.702 G_L1: 8.650 D_real: 0.056 D_fake: 0.024 
(epoch: 11, iters: 13240, time: 0.073, data: 0.009) G_GAN: 0.884 G_L1: 7.968 D_real: 0.023 D_fake: 0.044 
(epoch: 11, iters: 13340, time: 0.074, data: 0.008) G_GAN: 0.909 G_L1: 8.469 D_real: 0.036 D_fake: 0.015 
(epoch: 11, iters: 13440, time: 0.149, data: 0.005) G_GAN: 0.821 G_L1: 7.974 D_real: 0.111 D_fake: 0.011 
(epoch: 11, iters: 13540, time: 0.074, data: 0.008) G_GAN: 0.591 G_L1: 8.435 D_real: 0.599 D_fake: 0.015 
(epoch: 11, iters: 13640, time: 0.072, data: 0.006) G_GAN: 0.931 G_L1: 7.560 D_real: 0.021 D_fake: 0.103 
(epoch: 11, iters: 13740, time: 0.070, data: 0.006) G_GAN: 0.607 G_L1: 7.529 D_real: 0.039 D_fake: 0.077 
(epoch: 11, iters: 13840, time: 0.074, data: 0.005) G_GAN: 0.819 G_L1: 7.170 D_real: 0.027 D_fake: 0.027 
(epoch: 11, iters: 13940, time: 0.073, data: 0.006) G_GAN: 0.907 G_L1: 8.520 D_real: 0.092 D_fake: 0.018 
(epoch: 11, iters: 14040, time: 0.072, data: 0.005) G_GAN: 0.841 G_L1: 8.434 D_real: 0.041 D_fake: 0.017 
(epoch: 11, iters: 14140, time: 0.073, data: 0.007) G_GAN: 0.554 G_L1: 7.589 D_real: 0.188 D_fake: 0.032 
(epoch: 11, iters: 14240, time: 0.073, data: 0.009) G_GAN: 0.411 G_L1: 8.508 D_real: 0.292 D_fake: 0.082 
(epoch: 11, iters: 14340, time: 0.073, data: 0.006) G_GAN: 1.109 G_L1: 9.470 D_real: 0.027 D_fake: 0.046 
(epoch: 11, iters: 14440, time: 0.074, data: 0.008) G_GAN: 0.807 G_L1: 9.469 D_real: 0.025 D_fake: 0.011 
(epoch: 11, iters: 14540, time: 0.073, data: 0.009) G_GAN: 0.909 G_L1: 8.355 D_real: 0.138 D_fake: 0.060 
(epoch: 11, iters: 14640, time: 0.073, data: 0.007) G_GAN: 1.090 G_L1: 9.367 D_real: 0.020 D_fake: 0.106 
(epoch: 11, iters: 14740, time: 0.071, data: 0.009) G_GAN: 1.129 G_L1: 8.628 D_real: 0.033 D_fake: 0.074 
(epoch: 11, iters: 14840, time: 0.073, data: 0.009) G_GAN: 1.014 G_L1: 8.278 D_real: 0.030 D_fake: 0.122 
(epoch: 11, iters: 14940, time: 0.072, data: 0.010) G_GAN: 0.858 G_L1: 8.732 D_real: 0.052 D_fake: 0.085 
(epoch: 11, iters: 15040, time: 0.073, data: 0.007) G_GAN: 0.829 G_L1: 9.260 D_real: 0.016 D_fake: 0.123 
(epoch: 11, iters: 15140, time: 0.073, data: 0.006) G_GAN: 0.849 G_L1: 9.844 D_real: 0.013 D_fake: 0.017 
(epoch: 11, iters: 15240, time: 0.072, data: 0.007) G_GAN: 0.594 G_L1: 8.341 D_real: 0.032 D_fake: 0.032 
(epoch: 11, iters: 15340, time: 0.073, data: 0.006) G_GAN: 0.973 G_L1: 8.163 D_real: 0.108 D_fake: 0.038 
(epoch: 11, iters: 15440, time: 0.146, data: 0.007) G_GAN: 0.809 G_L1: 7.939 D_real: 0.128 D_fake: 0.012 
(epoch: 11, iters: 15540, time: 0.074, data: 0.006) G_GAN: 0.854 G_L1: 7.766 D_real: 0.070 D_fake: 0.010 
(epoch: 11, iters: 15640, time: 0.072, data: 0.007) G_GAN: 1.100 G_L1: 7.787 D_real: 0.049 D_fake: 0.322 
(epoch: 11, iters: 15740, time: 0.074, data: 0.007) G_GAN: 0.727 G_L1: 8.371 D_real: 0.110 D_fake: 0.025 
(epoch: 11, iters: 15840, time: 0.073, data: 0.009) G_GAN: 0.957 G_L1: 8.537 D_real: 0.012 D_fake: 0.068 
(epoch: 11, iters: 15940, time: 0.073, data: 0.006) G_GAN: 1.033 G_L1: 9.593 D_real: 0.023 D_fake: 0.061 
(epoch: 11, iters: 16040, time: 0.073, data: 0.012) G_GAN: 0.906 G_L1: 8.583 D_real: 0.071 D_fake: 0.128 
(epoch: 11, iters: 16140, time: 0.073, data: 0.007) G_GAN: 0.950 G_L1: 7.690 D_real: 0.014 D_fake: 0.133 
(epoch: 11, iters: 16240, time: 0.073, data: 0.007) G_GAN: 0.683 G_L1: 8.517 D_real: 0.034 D_fake: 0.013 
(epoch: 11, iters: 16340, time: 0.073, data: 0.006) G_GAN: 0.562 G_L1: 7.347 D_real: 0.088 D_fake: 0.083 
(epoch: 11, iters: 16440, time: 0.073, data: 0.005) G_GAN: 0.654 G_L1: 7.992 D_real: 0.051 D_fake: 0.337 
saving the latest model (epoch 11, total_iters 495000)
(epoch: 11, iters: 16540, time: 0.073, data: 0.012) G_GAN: 0.683 G_L1: 8.575 D_real: 0.144 D_fake: 0.017 
(epoch: 11, iters: 16640, time: 0.074, data: 0.006) G_GAN: 0.853 G_L1: 7.944 D_real: 0.032 D_fake: 0.075 
(epoch: 11, iters: 16740, time: 0.073, data: 0.007) G_GAN: 0.847 G_L1: 8.693 D_real: 0.015 D_fake: 0.111 
(epoch: 11, iters: 16840, time: 0.073, data: 0.008) G_GAN: 0.851 G_L1: 9.102 D_real: 0.027 D_fake: 0.016 
(epoch: 11, iters: 16940, time: 0.072, data: 0.006) G_GAN: 0.746 G_L1: 9.423 D_real: 0.107 D_fake: 0.018 
(epoch: 11, iters: 17040, time: 0.073, data: 0.005) G_GAN: 0.723 G_L1: 6.644 D_real: 0.036 D_fake: 0.135 
(epoch: 11, iters: 17140, time: 0.072, data: 0.006) G_GAN: 1.024 G_L1: 8.875 D_real: 0.035 D_fake: 0.057 
(epoch: 11, iters: 17240, time: 0.069, data: 0.009) G_GAN: 0.614 G_L1: 8.147 D_real: 0.338 D_fake: 0.013 
(epoch: 11, iters: 17340, time: 0.073, data: 0.018) G_GAN: 0.724 G_L1: 7.133 D_real: 0.085 D_fake: 0.021 
(epoch: 11, iters: 17440, time: 0.156, data: 0.007) G_GAN: 0.766 G_L1: 8.519 D_real: 0.168 D_fake: 0.016 
(epoch: 11, iters: 17540, time: 0.073, data: 0.006) G_GAN: 1.172 G_L1: 8.416 D_real: 0.022 D_fake: 0.085 
(epoch: 11, iters: 17640, time: 0.072, data: 0.007) G_GAN: 0.687 G_L1: 8.515 D_real: 0.050 D_fake: 0.033 
(epoch: 11, iters: 17740, time: 0.076, data: 0.008) G_GAN: 0.959 G_L1: 7.795 D_real: 0.088 D_fake: 0.064 
(epoch: 11, iters: 17840, time: 0.072, data: 0.012) G_GAN: 0.774 G_L1: 9.448 D_real: 0.013 D_fake: 0.011 
(epoch: 11, iters: 17940, time: 0.073, data: 0.008) G_GAN: 0.614 G_L1: 6.661 D_real: 0.332 D_fake: 0.013 
(epoch: 11, iters: 18040, time: 0.073, data: 0.009) G_GAN: 0.612 G_L1: 8.159 D_real: 0.317 D_fake: 0.014 
(epoch: 11, iters: 18140, time: 0.073, data: 0.013) G_GAN: 0.720 G_L1: 8.989 D_real: 0.027 D_fake: 0.038 
(epoch: 11, iters: 18240, time: 0.072, data: 0.006) G_GAN: 0.676 G_L1: 8.550 D_real: 0.081 D_fake: 0.017 
(epoch: 11, iters: 18340, time: 0.074, data: 0.011) G_GAN: 0.758 G_L1: 8.456 D_real: 0.015 D_fake: 0.038 
(epoch: 11, iters: 18440, time: 0.073, data: 0.008) G_GAN: 0.884 G_L1: 6.727 D_real: 0.021 D_fake: 0.064 
(epoch: 11, iters: 18540, time: 0.073, data: 0.007) G_GAN: 0.989 G_L1: 8.445 D_real: 0.014 D_fake: 0.165 
(epoch: 11, iters: 18640, time: 0.074, data: 0.008) G_GAN: 0.751 G_L1: 7.339 D_real: 0.031 D_fake: 0.095 
(epoch: 11, iters: 18740, time: 0.072, data: 0.006) G_GAN: 0.905 G_L1: 10.049 D_real: 0.037 D_fake: 0.035 
(epoch: 11, iters: 18840, time: 0.074, data: 0.006) G_GAN: 0.832 G_L1: 8.405 D_real: 0.105 D_fake: 0.062 
(epoch: 11, iters: 18940, time: 0.073, data: 0.010) G_GAN: 0.852 G_L1: 8.612 D_real: 0.034 D_fake: 0.027 
(epoch: 11, iters: 19040, time: 0.073, data: 0.007) G_GAN: 0.533 G_L1: 7.773 D_real: 0.179 D_fake: 0.026 
(epoch: 11, iters: 19140, time: 0.071, data: 0.008) G_GAN: 0.982 G_L1: 6.406 D_real: 0.017 D_fake: 0.071 
(epoch: 11, iters: 19240, time: 0.071, data: 0.011) G_GAN: 0.766 G_L1: 8.816 D_real: 0.040 D_fake: 0.069 
(epoch: 11, iters: 19340, time: 0.073, data: 0.006) G_GAN: 1.057 G_L1: 8.223 D_real: 0.029 D_fake: 0.143 
(epoch: 11, iters: 19440, time: 0.161, data: 0.007) G_GAN: 0.931 G_L1: 7.110 D_real: 0.033 D_fake: 0.024 
(epoch: 11, iters: 19540, time: 0.071, data: 0.010) G_GAN: 1.294 G_L1: 8.779 D_real: 0.033 D_fake: 0.248 
(epoch: 11, iters: 19640, time: 0.068, data: 0.009) G_GAN: 0.835 G_L1: 9.130 D_real: 0.082 D_fake: 0.018 
(epoch: 11, iters: 19740, time: 0.072, data: 0.007) G_GAN: 0.857 G_L1: 7.224 D_real: 0.052 D_fake: 0.039 
(epoch: 11, iters: 19840, time: 0.073, data: 0.007) G_GAN: 0.753 G_L1: 7.946 D_real: 0.142 D_fake: 0.029 
(epoch: 11, iters: 19940, time: 0.073, data: 0.007) G_GAN: 0.747 G_L1: 7.941 D_real: 0.042 D_fake: 0.148 
(epoch: 11, iters: 20040, time: 0.073, data: 0.006) G_GAN: 0.526 G_L1: 6.871 D_real: 0.094 D_fake: 0.038 
(epoch: 11, iters: 20140, time: 0.073, data: 0.009) G_GAN: 0.852 G_L1: 6.893 D_real: 0.065 D_fake: 0.091 
(epoch: 11, iters: 20240, time: 0.070, data: 0.006) G_GAN: 0.910 G_L1: 9.735 D_real: 0.091 D_fake: 0.025 
(epoch: 11, iters: 20340, time: 0.072, data: 0.006) G_GAN: 0.848 G_L1: 8.931 D_real: 0.019 D_fake: 0.013 
(epoch: 11, iters: 20440, time: 0.073, data: 0.006) G_GAN: 1.209 G_L1: 8.575 D_real: 0.013 D_fake: 0.014 
(epoch: 11, iters: 20540, time: 0.073, data: 0.010) G_GAN: 0.956 G_L1: 7.655 D_real: 0.064 D_fake: 0.113 
(epoch: 11, iters: 20640, time: 0.074, data: 0.011) G_GAN: 0.884 G_L1: 8.243 D_real: 0.039 D_fake: 0.112 
(epoch: 11, iters: 20740, time: 0.072, data: 0.010) G_GAN: 0.919 G_L1: 7.379 D_real: 0.022 D_fake: 0.055 
(epoch: 11, iters: 20840, time: 0.072, data: 0.007) G_GAN: 0.678 G_L1: 7.179 D_real: 0.074 D_fake: 0.017 
(epoch: 11, iters: 20940, time: 0.073, data: 0.010) G_GAN: 0.826 G_L1: 9.031 D_real: 0.035 D_fake: 0.057 
(epoch: 11, iters: 21040, time: 0.073, data: 0.006) G_GAN: 0.911 G_L1: 7.620 D_real: 0.131 D_fake: 0.016 
(epoch: 11, iters: 21140, time: 0.073, data: 0.007) G_GAN: 0.859 G_L1: 9.094 D_real: 0.020 D_fake: 0.013 
(epoch: 11, iters: 21240, time: 0.071, data: 0.007) G_GAN: 0.860 G_L1: 8.456 D_real: 0.016 D_fake: 0.080 
(epoch: 11, iters: 21340, time: 0.076, data: 0.010) G_GAN: 0.672 G_L1: 7.299 D_real: 0.032 D_fake: 0.094 
(epoch: 11, iters: 21440, time: 0.156, data: 0.008) G_GAN: 0.916 G_L1: 8.612 D_real: 0.012 D_fake: 0.086 
saving the latest model (epoch 11, total_iters 500000)
(epoch: 11, iters: 21540, time: 0.073, data: 0.006) G_GAN: 1.124 G_L1: 9.178 D_real: 0.012 D_fake: 0.021 
(epoch: 11, iters: 21640, time: 0.072, data: 0.011) G_GAN: 0.994 G_L1: 7.589 D_real: 0.033 D_fake: 0.193 
(epoch: 11, iters: 21740, time: 0.072, data: 0.006) G_GAN: 0.769 G_L1: 7.485 D_real: 0.075 D_fake: 0.030 
(epoch: 11, iters: 21840, time: 0.071, data: 0.011) G_GAN: 0.950 G_L1: 8.124 D_real: 0.027 D_fake: 0.033 
(epoch: 11, iters: 21940, time: 0.070, data: 0.006) G_GAN: 0.611 G_L1: 8.238 D_real: 0.134 D_fake: 0.011 
(epoch: 11, iters: 22040, time: 0.074, data: 0.007) G_GAN: 1.004 G_L1: 8.613 D_real: 0.015 D_fake: 0.100 
(epoch: 11, iters: 22140, time: 0.071, data: 0.009) G_GAN: 0.698 G_L1: 8.288 D_real: 0.016 D_fake: 0.204 
(epoch: 11, iters: 22240, time: 0.073, data: 0.006) G_GAN: 1.854 G_L1: 7.694 D_real: 0.352 D_fake: 0.331 
(epoch: 11, iters: 22340, time: 0.071, data: 0.006) G_GAN: 0.389 G_L1: 8.702 D_real: 0.201 D_fake: 0.186 
(epoch: 11, iters: 22440, time: 0.071, data: 0.007) G_GAN: 0.466 G_L1: 7.040 D_real: 0.219 D_fake: 0.162 
(epoch: 11, iters: 22540, time: 0.071, data: 0.007) G_GAN: 0.375 G_L1: 6.803 D_real: 0.157 D_fake: 0.208 
(epoch: 11, iters: 22640, time: 0.071, data: 0.012) G_GAN: 0.492 G_L1: 8.037 D_real: 0.267 D_fake: 0.096 
(epoch: 11, iters: 22740, time: 0.069, data: 0.006) G_GAN: 0.397 G_L1: 7.616 D_real: 0.235 D_fake: 0.151 
(epoch: 11, iters: 22840, time: 0.072, data: 0.008) G_GAN: 0.665 G_L1: 8.144 D_real: 0.361 D_fake: 0.046 
(epoch: 11, iters: 22940, time: 0.073, data: 0.006) G_GAN: 0.435 G_L1: 7.608 D_real: 0.149 D_fake: 0.125 
(epoch: 11, iters: 23040, time: 0.072, data: 0.007) G_GAN: 0.454 G_L1: 6.906 D_real: 0.194 D_fake: 0.141 
(epoch: 11, iters: 23140, time: 0.072, data: 0.007) G_GAN: 0.501 G_L1: 7.086 D_real: 0.098 D_fake: 0.164 
(epoch: 11, iters: 23240, time: 0.072, data: 0.010) G_GAN: 0.512 G_L1: 6.706 D_real: 0.221 D_fake: 0.065 
(epoch: 11, iters: 23340, time: 0.072, data: 0.011) G_GAN: 0.421 G_L1: 6.824 D_real: 0.330 D_fake: 0.098 
(epoch: 11, iters: 23440, time: 0.156, data: 0.008) G_GAN: 0.374 G_L1: 7.077 D_real: 0.152 D_fake: 0.220 
(epoch: 11, iters: 23540, time: 0.072, data: 0.007) G_GAN: 0.412 G_L1: 6.958 D_real: 0.107 D_fake: 0.214 
(epoch: 11, iters: 23640, time: 0.071, data: 0.007) G_GAN: 0.343 G_L1: 7.187 D_real: 0.237 D_fake: 0.150 
(epoch: 11, iters: 23740, time: 0.073, data: 0.011) G_GAN: 0.500 G_L1: 7.666 D_real: 0.226 D_fake: 0.098 
(epoch: 11, iters: 23840, time: 0.072, data: 0.009) G_GAN: 0.413 G_L1: 7.069 D_real: 0.103 D_fake: 0.292 
(epoch: 11, iters: 23940, time: 0.072, data: 0.007) G_GAN: 0.369 G_L1: 7.531 D_real: 0.031 D_fake: 0.373 
(epoch: 11, iters: 24040, time: 0.073, data: 0.009) G_GAN: 0.408 G_L1: 8.543 D_real: 0.045 D_fake: 0.283 
(epoch: 11, iters: 24140, time: 0.072, data: 0.007) G_GAN: 0.496 G_L1: 8.916 D_real: 0.029 D_fake: 0.177 
(epoch: 11, iters: 24240, time: 0.072, data: 0.009) G_GAN: 0.383 G_L1: 7.302 D_real: 0.073 D_fake: 0.255 
(epoch: 11, iters: 24340, time: 0.073, data: 0.009) G_GAN: 0.435 G_L1: 8.561 D_real: 0.036 D_fake: 0.201 
(epoch: 11, iters: 24440, time: 0.073, data: 0.010) G_GAN: 0.328 G_L1: 6.602 D_real: 0.249 D_fake: 0.156 
(epoch: 11, iters: 24540, time: 0.073, data: 0.006) G_GAN: 0.577 G_L1: 8.184 D_real: 0.262 D_fake: 0.057 
(epoch: 11, iters: 24640, time: 0.073, data: 0.008) G_GAN: 0.384 G_L1: 7.560 D_real: 0.031 D_fake: 0.476 
(epoch: 11, iters: 24740, time: 0.073, data: 0.005) G_GAN: 0.571 G_L1: 8.565 D_real: 0.070 D_fake: 0.083 
(epoch: 11, iters: 24840, time: 0.072, data: 0.008) G_GAN: 0.462 G_L1: 7.522 D_real: 0.084 D_fake: 0.245 
(epoch: 11, iters: 24940, time: 0.073, data: 0.006) G_GAN: 0.477 G_L1: 7.895 D_real: 0.040 D_fake: 0.232 
(epoch: 11, iters: 25040, time: 0.072, data: 0.008) G_GAN: 0.446 G_L1: 6.626 D_real: 0.211 D_fake: 0.151 
(epoch: 11, iters: 25140, time: 0.073, data: 0.007) G_GAN: 0.330 G_L1: 6.053 D_real: 0.263 D_fake: 0.129 
(epoch: 11, iters: 25240, time: 0.068, data: 0.006) G_GAN: 0.445 G_L1: 7.640 D_real: 0.047 D_fake: 0.356 
(epoch: 11, iters: 25340, time: 0.074, data: 0.009) G_GAN: 0.319 G_L1: 7.053 D_real: 0.174 D_fake: 0.133 
(epoch: 11, iters: 25440, time: 0.153, data: 0.015) G_GAN: 0.337 G_L1: 8.064 D_real: 0.305 D_fake: 0.052 
(epoch: 11, iters: 25540, time: 0.073, data: 0.006) G_GAN: 0.395 G_L1: 7.559 D_real: 0.179 D_fake: 0.141 
(epoch: 11, iters: 25640, time: 0.073, data: 0.013) G_GAN: 0.416 G_L1: 6.707 D_real: 0.134 D_fake: 0.162 
(epoch: 11, iters: 25740, time: 0.072, data: 0.013) G_GAN: 0.582 G_L1: 6.873 D_real: 0.090 D_fake: 0.142 
(epoch: 11, iters: 25840, time: 0.074, data: 0.006) G_GAN: 0.667 G_L1: 8.723 D_real: 0.070 D_fake: 0.081 
(epoch: 11, iters: 25940, time: 0.073, data: 0.007) G_GAN: 0.311 G_L1: 6.682 D_real: 0.065 D_fake: 0.382 
(epoch: 11, iters: 26040, time: 0.074, data: 0.008) G_GAN: 0.327 G_L1: 7.926 D_real: 0.136 D_fake: 0.156 
(epoch: 11, iters: 26140, time: 0.073, data: 0.006) G_GAN: 0.291 G_L1: 8.090 D_real: 0.145 D_fake: 0.152 
(epoch: 11, iters: 26240, time: 0.073, data: 0.007) G_GAN: 0.447 G_L1: 7.257 D_real: 0.024 D_fake: 0.464 
(epoch: 11, iters: 26340, time: 0.073, data: 0.008) G_GAN: 0.460 G_L1: 9.031 D_real: 0.041 D_fake: 0.237 
(epoch: 11, iters: 26440, time: 0.071, data: 0.006) G_GAN: 0.424 G_L1: 6.146 D_real: 0.064 D_fake: 0.296 
saving the latest model (epoch 11, total_iters 505000)
(epoch: 11, iters: 26540, time: 0.071, data: 0.007) G_GAN: 0.390 G_L1: 7.001 D_real: 0.168 D_fake: 0.110 
(epoch: 11, iters: 26640, time: 0.073, data: 0.006) G_GAN: 0.252 G_L1: 6.931 D_real: 0.211 D_fake: 0.180 
(epoch: 11, iters: 26740, time: 0.069, data: 0.008) G_GAN: 0.561 G_L1: 7.847 D_real: 0.039 D_fake: 0.163 
(epoch: 11, iters: 26840, time: 0.072, data: 0.010) G_GAN: 0.527 G_L1: 8.055 D_real: 0.136 D_fake: 0.097 
(epoch: 11, iters: 26940, time: 0.072, data: 0.007) G_GAN: 0.440 G_L1: 8.306 D_real: 0.169 D_fake: 0.190 
(epoch: 11, iters: 27040, time: 0.073, data: 0.007) G_GAN: 0.457 G_L1: 8.233 D_real: 0.183 D_fake: 0.119 
(epoch: 11, iters: 27140, time: 0.075, data: 0.006) G_GAN: 0.440 G_L1: 7.161 D_real: 0.212 D_fake: 0.088 
(epoch: 11, iters: 27240, time: 0.071, data: 0.006) G_GAN: 0.717 G_L1: 8.975 D_real: 0.030 D_fake: 0.170 
(epoch: 11, iters: 27340, time: 0.072, data: 0.006) G_GAN: 0.415 G_L1: 8.200 D_real: 0.384 D_fake: 0.028 
(epoch: 11, iters: 27440, time: 0.154, data: 0.010) G_GAN: 0.487 G_L1: 7.677 D_real: 0.082 D_fake: 0.200 
(epoch: 11, iters: 27540, time: 0.073, data: 0.006) G_GAN: 0.469 G_L1: 6.569 D_real: 0.269 D_fake: 0.149 
(epoch: 11, iters: 27640, time: 0.071, data: 0.006) G_GAN: 0.812 G_L1: 7.509 D_real: 0.236 D_fake: 0.111 
(epoch: 11, iters: 27740, time: 0.073, data: 0.008) G_GAN: 0.803 G_L1: 7.691 D_real: 0.035 D_fake: 0.127 
(epoch: 11, iters: 27840, time: 0.072, data: 0.009) G_GAN: 0.416 G_L1: 7.610 D_real: 0.053 D_fake: 0.222 
(epoch: 11, iters: 27940, time: 0.073, data: 0.005) G_GAN: 0.617 G_L1: 6.081 D_real: 0.257 D_fake: 0.040 
(epoch: 11, iters: 28040, time: 0.073, data: 0.006) G_GAN: 0.433 G_L1: 8.190 D_real: 0.210 D_fake: 0.060 
(epoch: 11, iters: 28140, time: 0.073, data: 0.007) G_GAN: 0.760 G_L1: 8.525 D_real: 0.043 D_fake: 0.108 
(epoch: 11, iters: 28240, time: 0.073, data: 0.008) G_GAN: 0.808 G_L1: 7.656 D_real: 0.228 D_fake: 0.068 
(epoch: 11, iters: 28340, time: 0.072, data: 0.007) G_GAN: 0.568 G_L1: 8.493 D_real: 0.044 D_fake: 0.127 
(epoch: 11, iters: 28440, time: 0.071, data: 0.010) G_GAN: 0.781 G_L1: 8.089 D_real: 0.036 D_fake: 0.103 
(epoch: 11, iters: 28540, time: 0.068, data: 0.006) G_GAN: 0.926 G_L1: 9.068 D_real: 0.049 D_fake: 0.072 
(epoch: 11, iters: 28640, time: 0.073, data: 0.010) G_GAN: 0.781 G_L1: 9.330 D_real: 0.112 D_fake: 0.020 
(epoch: 11, iters: 28740, time: 0.073, data: 0.005) G_GAN: 1.022 G_L1: 7.635 D_real: 0.015 D_fake: 0.245 
(epoch: 11, iters: 28840, time: 0.073, data: 0.007) G_GAN: 0.852 G_L1: 9.527 D_real: 0.058 D_fake: 0.193 
(epoch: 11, iters: 28940, time: 0.073, data: 0.008) G_GAN: 0.836 G_L1: 8.283 D_real: 0.145 D_fake: 0.031 
(epoch: 11, iters: 29040, time: 0.073, data: 0.005) G_GAN: 0.743 G_L1: 8.117 D_real: 0.024 D_fake: 0.037 
(epoch: 11, iters: 29140, time: 0.073, data: 0.007) G_GAN: 0.674 G_L1: 8.158 D_real: 0.021 D_fake: 0.190 
(epoch: 11, iters: 29240, time: 0.072, data: 0.012) G_GAN: 0.750 G_L1: 7.375 D_real: 0.013 D_fake: 0.266 
(epoch: 11, iters: 29340, time: 0.073, data: 0.007) G_GAN: 0.596 G_L1: 8.290 D_real: 0.043 D_fake: 0.059 
(epoch: 11, iters: 29440, time: 0.147, data: 0.009) G_GAN: 0.829 G_L1: 9.910 D_real: 0.041 D_fake: 0.085 
(epoch: 11, iters: 29540, time: 0.071, data: 0.011) G_GAN: 0.746 G_L1: 7.706 D_real: 0.051 D_fake: 0.020 
(epoch: 11, iters: 29640, time: 0.072, data: 0.005) G_GAN: 0.553 G_L1: 8.446 D_real: 0.045 D_fake: 0.179 
(epoch: 11, iters: 29740, time: 0.073, data: 0.007) G_GAN: 1.159 G_L1: 7.322 D_real: 0.079 D_fake: 0.073 
(epoch: 11, iters: 29840, time: 0.071, data: 0.006) G_GAN: 0.728 G_L1: 7.914 D_real: 0.016 D_fake: 0.043 
(epoch: 11, iters: 29940, time: 0.070, data: 0.005) G_GAN: 0.778 G_L1: 7.779 D_real: 0.016 D_fake: 0.035 
(epoch: 11, iters: 30040, time: 0.069, data: 0.007) G_GAN: 0.938 G_L1: 8.089 D_real: 0.016 D_fake: 0.017 
(epoch: 11, iters: 30140, time: 0.072, data: 0.007) G_GAN: 0.848 G_L1: 8.461 D_real: 0.026 D_fake: 0.010 
(epoch: 11, iters: 30240, time: 0.073, data: 0.007) G_GAN: 0.927 G_L1: 8.683 D_real: 0.080 D_fake: 0.020 
(epoch: 11, iters: 30340, time: 0.073, data: 0.007) G_GAN: 0.740 G_L1: 6.947 D_real: 0.128 D_fake: 0.024 
(epoch: 11, iters: 30440, time: 0.072, data: 0.008) G_GAN: 0.629 G_L1: 7.326 D_real: 0.215 D_fake: 0.024 
(epoch: 11, iters: 30540, time: 0.073, data: 0.011) G_GAN: 0.864 G_L1: 8.730 D_real: 0.059 D_fake: 0.022 
(epoch: 11, iters: 30640, time: 0.072, data: 0.009) G_GAN: 0.633 G_L1: 7.601 D_real: 0.115 D_fake: 0.166 
(epoch: 11, iters: 30740, time: 0.071, data: 0.007) G_GAN: 0.787 G_L1: 8.526 D_real: 0.117 D_fake: 0.008 
(epoch: 11, iters: 30840, time: 0.073, data: 0.006) G_GAN: 0.875 G_L1: 8.277 D_real: 0.124 D_fake: 0.011 
(epoch: 11, iters: 30940, time: 0.073, data: 0.008) G_GAN: 0.517 G_L1: 7.028 D_real: 0.028 D_fake: 0.068 
(epoch: 11, iters: 31040, time: 0.074, data: 0.007) G_GAN: 0.775 G_L1: 9.679 D_real: 0.088 D_fake: 0.010 
(epoch: 11, iters: 31140, time: 0.073, data: 0.007) G_GAN: 0.801 G_L1: 8.375 D_real: 0.082 D_fake: 0.014 
(epoch: 11, iters: 31240, time: 0.073, data: 0.007) G_GAN: 0.887 G_L1: 8.722 D_real: 0.011 D_fake: 0.045 
(epoch: 11, iters: 31340, time: 0.073, data: 0.007) G_GAN: 0.839 G_L1: 7.130 D_real: 0.016 D_fake: 0.023 
(epoch: 11, iters: 31440, time: 0.148, data: 0.009) G_GAN: 0.985 G_L1: 7.777 D_real: 0.042 D_fake: 0.025 
saving the latest model (epoch 11, total_iters 510000)
(epoch: 11, iters: 31540, time: 0.071, data: 0.007) G_GAN: 0.708 G_L1: 8.974 D_real: 0.160 D_fake: 0.034 
(epoch: 11, iters: 31640, time: 0.072, data: 0.006) G_GAN: 1.075 G_L1: 7.397 D_real: 0.017 D_fake: 0.038 
(epoch: 11, iters: 31740, time: 0.073, data: 0.006) G_GAN: 0.859 G_L1: 8.984 D_real: 0.117 D_fake: 0.013 
(epoch: 11, iters: 31840, time: 0.071, data: 0.008) G_GAN: 1.042 G_L1: 9.407 D_real: 0.024 D_fake: 0.009 
(epoch: 11, iters: 31940, time: 0.072, data: 0.007) G_GAN: 1.080 G_L1: 7.527 D_real: 0.011 D_fake: 0.089 
(epoch: 11, iters: 32040, time: 0.071, data: 0.008) G_GAN: 1.402 G_L1: 7.302 D_real: 0.020 D_fake: 0.098 
(epoch: 11, iters: 32140, time: 0.073, data: 0.006) G_GAN: 0.523 G_L1: 6.576 D_real: 0.091 D_fake: 0.069 
(epoch: 11, iters: 32240, time: 0.072, data: 0.006) G_GAN: 1.067 G_L1: 9.141 D_real: 0.039 D_fake: 0.134 
(epoch: 11, iters: 32340, time: 0.070, data: 0.007) G_GAN: 0.811 G_L1: 7.250 D_real: 0.030 D_fake: 0.029 
(epoch: 11, iters: 32440, time: 0.073, data: 0.007) G_GAN: 0.777 G_L1: 8.334 D_real: 0.050 D_fake: 0.013 
(epoch: 11, iters: 32540, time: 0.070, data: 0.006) G_GAN: 0.876 G_L1: 8.993 D_real: 0.013 D_fake: 0.040 
(epoch: 11, iters: 32640, time: 0.073, data: 0.007) G_GAN: 0.825 G_L1: 8.067 D_real: 0.012 D_fake: 0.071 
(epoch: 11, iters: 32740, time: 0.073, data: 0.008) G_GAN: 1.061 G_L1: 9.063 D_real: 0.024 D_fake: 0.020 
(epoch: 11, iters: 32840, time: 0.073, data: 0.006) G_GAN: 0.866 G_L1: 8.240 D_real: 0.014 D_fake: 0.020 
(epoch: 11, iters: 32940, time: 0.073, data: 0.008) G_GAN: 1.044 G_L1: 8.923 D_real: 0.019 D_fake: 0.267 
(epoch: 11, iters: 33040, time: 0.073, data: 0.006) G_GAN: 0.916 G_L1: 8.450 D_real: 0.032 D_fake: 0.018 
(epoch: 11, iters: 33140, time: 0.072, data: 0.009) G_GAN: 0.695 G_L1: 7.556 D_real: 0.080 D_fake: 0.091 
(epoch: 11, iters: 33240, time: 0.073, data: 0.008) G_GAN: 0.878 G_L1: 7.588 D_real: 0.016 D_fake: 0.011 
(epoch: 11, iters: 33340, time: 0.072, data: 0.007) G_GAN: 1.157 G_L1: 8.718 D_real: 0.012 D_fake: 0.012 
(epoch: 11, iters: 33440, time: 0.152, data: 0.009) G_GAN: 0.658 G_L1: 6.857 D_real: 0.059 D_fake: 0.137 
(epoch: 11, iters: 33540, time: 0.073, data: 0.006) G_GAN: 0.888 G_L1: 7.555 D_real: 0.021 D_fake: 0.076 
(epoch: 11, iters: 33640, time: 0.072, data: 0.005) G_GAN: 0.858 G_L1: 7.876 D_real: 0.045 D_fake: 0.123 
(epoch: 11, iters: 33740, time: 0.073, data: 0.014) G_GAN: 0.984 G_L1: 9.488 D_real: 0.010 D_fake: 0.044 
(epoch: 11, iters: 33840, time: 0.071, data: 0.008) G_GAN: 0.699 G_L1: 7.444 D_real: 0.138 D_fake: 0.015 
(epoch: 11, iters: 33940, time: 0.072, data: 0.006) G_GAN: 0.911 G_L1: 8.257 D_real: 0.031 D_fake: 0.010 
(epoch: 11, iters: 34040, time: 0.072, data: 0.006) G_GAN: 0.818 G_L1: 9.203 D_real: 0.018 D_fake: 0.057 
(epoch: 11, iters: 34140, time: 0.071, data: 0.007) G_GAN: 0.769 G_L1: 9.559 D_real: 0.016 D_fake: 0.255 
(epoch: 11, iters: 34240, time: 0.073, data: 0.005) G_GAN: 0.836 G_L1: 9.647 D_real: 0.016 D_fake: 0.025 
(epoch: 11, iters: 34340, time: 0.073, data: 0.006) G_GAN: 0.896 G_L1: 8.077 D_real: 0.061 D_fake: 0.012 
(epoch: 11, iters: 34440, time: 0.074, data: 0.011) G_GAN: 0.680 G_L1: 8.433 D_real: 0.011 D_fake: 0.299 
(epoch: 11, iters: 34540, time: 0.073, data: 0.006) G_GAN: 0.731 G_L1: 7.778 D_real: 0.016 D_fake: 0.022 
(epoch: 11, iters: 34640, time: 0.070, data: 0.007) G_GAN: 0.645 G_L1: 8.234 D_real: 0.043 D_fake: 0.049 
(epoch: 11, iters: 34740, time: 0.072, data: 0.006) G_GAN: 0.872 G_L1: 6.671 D_real: 0.016 D_fake: 0.041 
(epoch: 11, iters: 34840, time: 0.073, data: 0.007) G_GAN: 0.899 G_L1: 8.458 D_real: 0.057 D_fake: 0.072 
(epoch: 11, iters: 34940, time: 0.073, data: 0.010) G_GAN: 0.977 G_L1: 8.294 D_real: 0.114 D_fake: 0.015 
(epoch: 11, iters: 35040, time: 0.073, data: 0.009) G_GAN: 1.061 G_L1: 8.735 D_real: 0.035 D_fake: 0.040 
(epoch: 11, iters: 35140, time: 0.072, data: 0.008) G_GAN: 0.735 G_L1: 8.504 D_real: 0.015 D_fake: 0.115 
(epoch: 11, iters: 35240, time: 0.073, data: 0.010) G_GAN: 0.928 G_L1: 7.465 D_real: 0.017 D_fake: 0.049 
(epoch: 11, iters: 35340, time: 0.070, data: 0.014) G_GAN: 0.905 G_L1: 6.727 D_real: 0.065 D_fake: 0.011 
(epoch: 11, iters: 35440, time: 0.156, data: 0.010) G_GAN: 0.819 G_L1: 9.292 D_real: 0.038 D_fake: 0.026 
(epoch: 11, iters: 35540, time: 0.072, data: 0.008) G_GAN: 0.393 G_L1: 6.909 D_real: 0.419 D_fake: 0.089 
(epoch: 11, iters: 35640, time: 0.071, data: 0.010) G_GAN: 0.516 G_L1: 8.558 D_real: 0.129 D_fake: 0.051 
(epoch: 11, iters: 35740, time: 0.073, data: 0.009) G_GAN: 0.808 G_L1: 8.651 D_real: 0.172 D_fake: 0.034 
(epoch: 11, iters: 35840, time: 0.073, data: 0.010) G_GAN: 0.620 G_L1: 8.232 D_real: 0.430 D_fake: 0.027 
(epoch: 11, iters: 35940, time: 0.072, data: 0.006) G_GAN: 0.870 G_L1: 8.678 D_real: 0.016 D_fake: 0.016 
(epoch: 11, iters: 36040, time: 0.073, data: 0.006) G_GAN: 0.605 G_L1: 7.583 D_real: 0.150 D_fake: 0.040 
(epoch: 11, iters: 36140, time: 0.074, data: 0.005) G_GAN: 1.023 G_L1: 7.833 D_real: 0.015 D_fake: 0.125 
(epoch: 11, iters: 36240, time: 0.073, data: 0.006) G_GAN: 0.854 G_L1: 8.124 D_real: 0.058 D_fake: 0.033 
(epoch: 11, iters: 36340, time: 0.073, data: 0.006) G_GAN: 0.860 G_L1: 8.585 D_real: 0.123 D_fake: 0.054 
(epoch: 11, iters: 36440, time: 0.073, data: 0.006) G_GAN: 0.832 G_L1: 7.384 D_real: 0.141 D_fake: 0.039 
saving the latest model (epoch 11, total_iters 515000)
(epoch: 11, iters: 36540, time: 0.073, data: 0.006) G_GAN: 0.787 G_L1: 7.249 D_real: 0.043 D_fake: 0.067 
(epoch: 11, iters: 36640, time: 0.074, data: 0.007) G_GAN: 0.830 G_L1: 7.054 D_real: 0.150 D_fake: 0.053 
(epoch: 11, iters: 36740, time: 0.074, data: 0.006) G_GAN: 0.816 G_L1: 7.861 D_real: 0.065 D_fake: 0.015 
(epoch: 11, iters: 36840, time: 0.073, data: 0.008) G_GAN: 0.615 G_L1: 8.172 D_real: 0.044 D_fake: 0.114 
(epoch: 11, iters: 36940, time: 0.071, data: 0.007) G_GAN: 0.666 G_L1: 9.127 D_real: 0.061 D_fake: 0.084 
(epoch: 11, iters: 37040, time: 0.072, data: 0.006) G_GAN: 0.844 G_L1: 6.942 D_real: 0.017 D_fake: 0.055 
(epoch: 11, iters: 37140, time: 0.071, data: 0.007) G_GAN: 1.107 G_L1: 7.514 D_real: 0.299 D_fake: 0.073 
(epoch: 11, iters: 37240, time: 0.072, data: 0.008) G_GAN: 1.081 G_L1: 8.147 D_real: 0.061 D_fake: 0.178 
(epoch: 11, iters: 37340, time: 0.072, data: 0.008) G_GAN: 0.892 G_L1: 7.414 D_real: 0.013 D_fake: 0.060 
(epoch: 11, iters: 37440, time: 0.149, data: 0.008) G_GAN: 1.180 G_L1: 7.789 D_real: 0.031 D_fake: 0.231 
(epoch: 11, iters: 37540, time: 0.073, data: 0.006) G_GAN: 0.885 G_L1: 8.369 D_real: 0.085 D_fake: 0.025 
(epoch: 11, iters: 37640, time: 0.070, data: 0.006) G_GAN: 0.635 G_L1: 8.276 D_real: 0.073 D_fake: 0.092 
(epoch: 11, iters: 37740, time: 0.072, data: 0.007) G_GAN: 1.007 G_L1: 7.019 D_real: 0.071 D_fake: 0.014 
(epoch: 11, iters: 37840, time: 0.072, data: 0.011) G_GAN: 1.029 G_L1: 8.853 D_real: 0.109 D_fake: 0.013 
(epoch: 11, iters: 37940, time: 0.071, data: 0.007) G_GAN: 0.816 G_L1: 8.030 D_real: 0.013 D_fake: 0.134 
(epoch: 11, iters: 38040, time: 0.073, data: 0.007) G_GAN: 0.841 G_L1: 8.093 D_real: 0.059 D_fake: 0.024 
(epoch: 11, iters: 38140, time: 0.074, data: 0.008) G_GAN: 1.015 G_L1: 8.222 D_real: 0.013 D_fake: 0.012 
(epoch: 11, iters: 38240, time: 0.071, data: 0.005) G_GAN: 0.652 G_L1: 8.286 D_real: 0.054 D_fake: 0.124 
(epoch: 11, iters: 38340, time: 0.073, data: 0.005) G_GAN: 1.083 G_L1: 8.866 D_real: 0.016 D_fake: 0.027 
(epoch: 11, iters: 38440, time: 0.074, data: 0.008) G_GAN: 1.218 G_L1: 7.042 D_real: 0.380 D_fake: 0.029 
(epoch: 11, iters: 38540, time: 0.073, data: 0.010) G_GAN: 0.829 G_L1: 7.489 D_real: 0.018 D_fake: 0.073 
(epoch: 11, iters: 38640, time: 0.073, data: 0.010) G_GAN: 0.696 G_L1: 7.615 D_real: 0.153 D_fake: 0.075 
(epoch: 11, iters: 38740, time: 0.073, data: 0.007) G_GAN: 0.727 G_L1: 7.956 D_real: 0.013 D_fake: 0.035 
(epoch: 11, iters: 38840, time: 0.074, data: 0.014) G_GAN: 0.731 G_L1: 8.790 D_real: 0.083 D_fake: 0.012 
(epoch: 11, iters: 38940, time: 0.073, data: 0.006) G_GAN: 0.788 G_L1: 7.961 D_real: 0.082 D_fake: 0.023 
(epoch: 11, iters: 39040, time: 0.073, data: 0.006) G_GAN: 1.136 G_L1: 6.775 D_real: 0.043 D_fake: 0.155 
(epoch: 11, iters: 39140, time: 0.073, data: 0.006) G_GAN: 0.790 G_L1: 7.354 D_real: 0.015 D_fake: 0.134 
(epoch: 11, iters: 39240, time: 0.070, data: 0.007) G_GAN: 0.412 G_L1: 7.596 D_real: 0.186 D_fake: 0.042 
(epoch: 11, iters: 39340, time: 0.071, data: 0.013) G_GAN: 1.220 G_L1: 7.574 D_real: 0.026 D_fake: 0.031 
(epoch: 11, iters: 39440, time: 0.158, data: 0.008) G_GAN: 0.799 G_L1: 8.360 D_real: 0.027 D_fake: 0.025 
(epoch: 11, iters: 39540, time: 0.072, data: 0.011) G_GAN: 0.503 G_L1: 7.852 D_real: 0.185 D_fake: 0.018 
(epoch: 11, iters: 39640, time: 0.073, data: 0.006) G_GAN: 1.127 G_L1: 8.023 D_real: 0.013 D_fake: 0.012 
(epoch: 11, iters: 39740, time: 0.072, data: 0.009) G_GAN: 0.960 G_L1: 9.096 D_real: 0.728 D_fake: 0.279 
(epoch: 11, iters: 39840, time: 0.073, data: 0.006) G_GAN: 0.815 G_L1: 8.362 D_real: 0.061 D_fake: 0.011 
(epoch: 11, iters: 39940, time: 0.071, data: 0.011) G_GAN: 0.912 G_L1: 7.973 D_real: 0.015 D_fake: 0.102 
(epoch: 11, iters: 40040, time: 0.073, data: 0.007) G_GAN: 0.632 G_L1: 8.006 D_real: 0.014 D_fake: 0.078 
(epoch: 11, iters: 40140, time: 0.074, data: 0.006) G_GAN: 0.983 G_L1: 9.087 D_real: 0.020 D_fake: 0.117 
(epoch: 11, iters: 40240, time: 0.073, data: 0.007) G_GAN: 0.656 G_L1: 7.734 D_real: 0.027 D_fake: 0.081 
(epoch: 11, iters: 40340, time: 0.072, data: 0.006) G_GAN: 0.802 G_L1: 7.605 D_real: 0.055 D_fake: 0.011 
(epoch: 11, iters: 40440, time: 0.073, data: 0.009) G_GAN: 0.659 G_L1: 7.335 D_real: 0.106 D_fake: 0.114 
(epoch: 11, iters: 40540, time: 0.074, data: 0.007) G_GAN: 1.087 G_L1: 8.734 D_real: 0.132 D_fake: 0.270 
(epoch: 11, iters: 40640, time: 0.073, data: 0.007) G_GAN: 1.194 G_L1: 8.869 D_real: 0.024 D_fake: 0.027 
(epoch: 11, iters: 40740, time: 0.071, data: 0.005) G_GAN: 0.998 G_L1: 8.238 D_real: 0.013 D_fake: 0.020 
(epoch: 11, iters: 40840, time: 0.071, data: 0.010) G_GAN: 0.515 G_L1: 7.469 D_real: 0.117 D_fake: 0.065 
(epoch: 11, iters: 40940, time: 0.073, data: 0.007) G_GAN: 0.814 G_L1: 7.431 D_real: 0.161 D_fake: 0.040 
(epoch: 11, iters: 41040, time: 0.072, data: 0.010) G_GAN: 0.896 G_L1: 8.273 D_real: 0.015 D_fake: 0.082 
(epoch: 11, iters: 41140, time: 0.071, data: 0.005) G_GAN: 0.840 G_L1: 7.861 D_real: 0.073 D_fake: 0.011 
(epoch: 11, iters: 41240, time: 0.070, data: 0.007) G_GAN: 0.673 G_L1: 7.926 D_real: 0.032 D_fake: 0.131 
(epoch: 11, iters: 41340, time: 0.072, data: 0.007) G_GAN: 0.472 G_L1: 7.087 D_real: 0.225 D_fake: 0.028 
(epoch: 11, iters: 41440, time: 0.149, data: 0.009) G_GAN: 0.733 G_L1: 8.127 D_real: 0.058 D_fake: 0.251 
saving the latest model (epoch 11, total_iters 520000)
(epoch: 11, iters: 41540, time: 0.074, data: 0.009) G_GAN: 0.868 G_L1: 8.759 D_real: 0.028 D_fake: 0.098 
(epoch: 11, iters: 41640, time: 0.073, data: 0.005) G_GAN: 0.844 G_L1: 8.522 D_real: 0.018 D_fake: 0.040 
(epoch: 11, iters: 41740, time: 0.072, data: 0.006) G_GAN: 0.710 G_L1: 6.829 D_real: 0.088 D_fake: 0.097 
(epoch: 11, iters: 41840, time: 0.073, data: 0.009) G_GAN: 0.677 G_L1: 8.208 D_real: 0.086 D_fake: 0.020 
(epoch: 11, iters: 41940, time: 0.072, data: 0.006) G_GAN: 0.612 G_L1: 7.193 D_real: 0.135 D_fake: 0.134 
(epoch: 11, iters: 42040, time: 0.072, data: 0.007) G_GAN: 0.604 G_L1: 7.795 D_real: 0.088 D_fake: 0.029 
(epoch: 11, iters: 42140, time: 0.073, data: 0.011) G_GAN: 1.023 G_L1: 7.684 D_real: 0.070 D_fake: 0.018 
(epoch: 11, iters: 42240, time: 0.073, data: 0.005) G_GAN: 0.916 G_L1: 7.078 D_real: 0.017 D_fake: 0.053 
(epoch: 11, iters: 42340, time: 0.071, data: 0.006) G_GAN: 1.324 G_L1: 7.622 D_real: 0.018 D_fake: 0.154 
(epoch: 11, iters: 42440, time: 0.072, data: 0.007) G_GAN: 0.904 G_L1: 7.899 D_real: 0.017 D_fake: 0.080 
(epoch: 11, iters: 42540, time: 0.073, data: 0.007) G_GAN: 0.823 G_L1: 8.050 D_real: 0.029 D_fake: 0.125 
(epoch: 11, iters: 42640, time: 0.072, data: 0.007) G_GAN: 0.689 G_L1: 7.330 D_real: 0.014 D_fake: 0.109 
(epoch: 11, iters: 42740, time: 0.070, data: 0.006) G_GAN: 0.855 G_L1: 8.619 D_real: 0.040 D_fake: 0.017 
(epoch: 11, iters: 42840, time: 0.071, data: 0.006) G_GAN: 1.117 G_L1: 8.422 D_real: 0.013 D_fake: 0.123 
(epoch: 11, iters: 42940, time: 0.072, data: 0.013) G_GAN: 1.047 G_L1: 8.141 D_real: 0.025 D_fake: 0.015 
(epoch: 11, iters: 43040, time: 0.073, data: 0.009) G_GAN: 0.788 G_L1: 9.376 D_real: 0.015 D_fake: 0.075 
(epoch: 11, iters: 43140, time: 0.073, data: 0.009) G_GAN: 0.835 G_L1: 7.909 D_real: 0.032 D_fake: 0.040 
(epoch: 11, iters: 43240, time: 0.072, data: 0.006) G_GAN: 0.426 G_L1: 9.202 D_real: 0.293 D_fake: 0.077 
(epoch: 11, iters: 43340, time: 0.071, data: 0.009) G_GAN: 0.904 G_L1: 8.295 D_real: 0.075 D_fake: 0.016 
(epoch: 11, iters: 43440, time: 0.152, data: 0.012) G_GAN: 0.741 G_L1: 7.785 D_real: 0.038 D_fake: 0.059 
(epoch: 11, iters: 43540, time: 0.074, data: 0.006) G_GAN: 0.734 G_L1: 7.906 D_real: 0.143 D_fake: 0.025 
(epoch: 11, iters: 43640, time: 0.072, data: 0.005) G_GAN: 0.838 G_L1: 8.037 D_real: 0.048 D_fake: 0.029 
(epoch: 11, iters: 43740, time: 0.074, data: 0.005) G_GAN: 1.231 G_L1: 8.204 D_real: 0.043 D_fake: 0.028 
(epoch: 11, iters: 43840, time: 0.073, data: 0.006) G_GAN: 0.636 G_L1: 7.859 D_real: 0.101 D_fake: 0.011 
(epoch: 11, iters: 43940, time: 0.073, data: 0.008) G_GAN: 0.993 G_L1: 7.435 D_real: 0.015 D_fake: 0.042 
(epoch: 11, iters: 44040, time: 0.073, data: 0.007) G_GAN: 0.822 G_L1: 8.445 D_real: 0.014 D_fake: 0.065 
(epoch: 11, iters: 44140, time: 0.072, data: 0.007) G_GAN: 0.815 G_L1: 8.265 D_real: 0.015 D_fake: 0.041 
(epoch: 11, iters: 44240, time: 0.074, data: 0.006) G_GAN: 0.707 G_L1: 8.152 D_real: 0.102 D_fake: 0.014 
(epoch: 11, iters: 44340, time: 0.072, data: 0.008) G_GAN: 0.861 G_L1: 7.948 D_real: 0.098 D_fake: 0.033 
(epoch: 11, iters: 44440, time: 0.074, data: 0.007) G_GAN: 0.662 G_L1: 7.241 D_real: 0.146 D_fake: 0.038 
(epoch: 11, iters: 44540, time: 0.073, data: 0.006) G_GAN: 1.010 G_L1: 7.776 D_real: 0.024 D_fake: 0.059 
(epoch: 11, iters: 44640, time: 0.074, data: 0.010) G_GAN: 0.892 G_L1: 7.831 D_real: 0.014 D_fake: 0.163 
(epoch: 11, iters: 44740, time: 0.073, data: 0.007) G_GAN: 0.784 G_L1: 8.355 D_real: 0.090 D_fake: 0.021 
(epoch: 11, iters: 44840, time: 0.073, data: 0.010) G_GAN: 0.855 G_L1: 7.033 D_real: 0.021 D_fake: 0.363 
(epoch: 11, iters: 44940, time: 0.071, data: 0.010) G_GAN: 0.816 G_L1: 9.525 D_real: 0.169 D_fake: 0.030 
(epoch: 11, iters: 45040, time: 0.071, data: 0.006) G_GAN: 0.543 G_L1: 7.331 D_real: 0.088 D_fake: 0.091 
(epoch: 11, iters: 45140, time: 0.071, data: 0.007) G_GAN: 1.244 G_L1: 7.586 D_real: 0.039 D_fake: 0.167 
(epoch: 11, iters: 45240, time: 0.074, data: 0.006) G_GAN: 0.900 G_L1: 7.860 D_real: 0.012 D_fake: 0.056 
(epoch: 11, iters: 45340, time: 0.073, data: 0.007) G_GAN: 0.616 G_L1: 7.817 D_real: 0.048 D_fake: 0.057 
(epoch: 11, iters: 45440, time: 0.156, data: 0.011) G_GAN: 1.315 G_L1: 8.757 D_real: 0.093 D_fake: 0.206 
(epoch: 11, iters: 45540, time: 0.073, data: 0.007) G_GAN: 1.297 G_L1: 9.208 D_real: 0.101 D_fake: 0.116 
(epoch: 11, iters: 45640, time: 0.073, data: 0.007) G_GAN: 0.974 G_L1: 8.454 D_real: 0.015 D_fake: 0.076 
(epoch: 11, iters: 45740, time: 0.073, data: 0.006) G_GAN: 0.754 G_L1: 8.214 D_real: 0.017 D_fake: 0.056 
(epoch: 11, iters: 45840, time: 0.074, data: 0.008) G_GAN: 0.746 G_L1: 7.959 D_real: 0.090 D_fake: 0.031 
(epoch: 11, iters: 45940, time: 0.074, data: 0.006) G_GAN: 0.927 G_L1: 7.913 D_real: 0.122 D_fake: 0.062 
(epoch: 11, iters: 46040, time: 0.072, data: 0.008) G_GAN: 0.977 G_L1: 7.803 D_real: 0.055 D_fake: 0.107 
(epoch: 11, iters: 46140, time: 0.073, data: 0.009) G_GAN: 0.923 G_L1: 8.937 D_real: 0.107 D_fake: 0.040 
(epoch: 11, iters: 46240, time: 0.072, data: 0.008) G_GAN: 0.791 G_L1: 7.787 D_real: 0.013 D_fake: 0.175 
(epoch: 11, iters: 46340, time: 0.073, data: 0.006) G_GAN: 0.913 G_L1: 8.219 D_real: 0.030 D_fake: 0.025 
(epoch: 11, iters: 46440, time: 0.073, data: 0.008) G_GAN: 0.809 G_L1: 8.435 D_real: 0.022 D_fake: 0.036 
saving the latest model (epoch 11, total_iters 525000)
(epoch: 11, iters: 46540, time: 0.072, data: 0.008) G_GAN: 0.662 G_L1: 7.685 D_real: 0.088 D_fake: 0.031 
(epoch: 11, iters: 46640, time: 0.073, data: 0.007) G_GAN: 0.738 G_L1: 7.385 D_real: 0.077 D_fake: 0.030 
(epoch: 11, iters: 46740, time: 0.073, data: 0.007) G_GAN: 0.908 G_L1: 9.172 D_real: 0.034 D_fake: 0.121 
(epoch: 11, iters: 46840, time: 0.073, data: 0.006) G_GAN: 0.956 G_L1: 7.440 D_real: 0.029 D_fake: 0.024 
(epoch: 11, iters: 46940, time: 0.073, data: 0.010) G_GAN: 0.839 G_L1: 8.171 D_real: 0.032 D_fake: 0.256 
(epoch: 11, iters: 47040, time: 0.073, data: 0.010) G_GAN: 0.877 G_L1: 7.617 D_real: 0.015 D_fake: 0.017 
(epoch: 11, iters: 47140, time: 0.071, data: 0.006) G_GAN: 0.661 G_L1: 8.719 D_real: 0.033 D_fake: 0.098 
(epoch: 11, iters: 47240, time: 0.072, data: 0.007) G_GAN: 0.606 G_L1: 7.343 D_real: 0.116 D_fake: 0.016 
(epoch: 11, iters: 47340, time: 0.073, data: 0.009) G_GAN: 0.764 G_L1: 8.638 D_real: 0.026 D_fake: 0.015 
(epoch: 11, iters: 47440, time: 0.152, data: 0.010) G_GAN: 0.804 G_L1: 6.967 D_real: 0.097 D_fake: 0.126 
(epoch: 11, iters: 47540, time: 0.074, data: 0.006) G_GAN: 0.726 G_L1: 8.436 D_real: 0.389 D_fake: 0.048 
(epoch: 11, iters: 47640, time: 0.072, data: 0.007) G_GAN: 0.895 G_L1: 7.931 D_real: 0.013 D_fake: 0.053 
(epoch: 11, iters: 47740, time: 0.073, data: 0.008) G_GAN: 0.888 G_L1: 8.708 D_real: 0.014 D_fake: 0.014 
(epoch: 11, iters: 47840, time: 0.074, data: 0.007) G_GAN: 1.043 G_L1: 8.850 D_real: 0.026 D_fake: 0.047 
End of epoch 11 / 20 	 Time Taken: 1971 sec
learning rate 0.0002000 -> 0.0002000
(epoch: 12, iters: 84, time: 0.071, data: 0.006) G_GAN: 0.688 G_L1: 7.483 D_real: 0.843 D_fake: 0.326 
(epoch: 12, iters: 184, time: 0.072, data: 0.007) G_GAN: 0.434 G_L1: 7.946 D_real: 0.265 D_fake: 0.096 
(epoch: 12, iters: 284, time: 0.067, data: 0.010) G_GAN: 0.565 G_L1: 7.577 D_real: 0.156 D_fake: 0.075 
(epoch: 12, iters: 384, time: 0.155, data: 0.012) G_GAN: 0.700 G_L1: 8.669 D_real: 0.080 D_fake: 0.098 
(epoch: 12, iters: 484, time: 0.065, data: 0.006) G_GAN: 0.522 G_L1: 6.229 D_real: 0.225 D_fake: 0.171 
(epoch: 12, iters: 584, time: 0.066, data: 0.007) G_GAN: 0.474 G_L1: 7.609 D_real: 0.040 D_fake: 0.546 
(epoch: 12, iters: 684, time: 0.062, data: 0.008) G_GAN: 0.596 G_L1: 7.865 D_real: 0.067 D_fake: 0.123 
(epoch: 12, iters: 784, time: 0.068, data: 0.015) G_GAN: 0.694 G_L1: 8.911 D_real: 0.121 D_fake: 0.140 
(epoch: 12, iters: 884, time: 0.068, data: 0.010) G_GAN: 0.570 G_L1: 7.644 D_real: 0.047 D_fake: 0.139 
(epoch: 12, iters: 984, time: 0.070, data: 0.005) G_GAN: 0.385 G_L1: 6.893 D_real: 0.131 D_fake: 0.079 
(epoch: 12, iters: 1084, time: 0.072, data: 0.006) G_GAN: 0.421 G_L1: 6.650 D_real: 0.434 D_fake: 0.025 
(epoch: 12, iters: 1184, time: 0.072, data: 0.007) G_GAN: 0.777 G_L1: 7.120 D_real: 0.078 D_fake: 0.096 
(epoch: 12, iters: 1284, time: 0.071, data: 0.007) G_GAN: 0.593 G_L1: 9.245 D_real: 0.046 D_fake: 0.275 
(epoch: 12, iters: 1384, time: 0.069, data: 0.006) G_GAN: 0.543 G_L1: 8.605 D_real: 0.122 D_fake: 0.076 
(epoch: 12, iters: 1484, time: 0.070, data: 0.006) G_GAN: 0.687 G_L1: 7.339 D_real: 0.094 D_fake: 0.148 
(epoch: 12, iters: 1584, time: 0.155, data: 0.016) G_GAN: 0.400 G_L1: 7.312 D_real: 0.171 D_fake: 0.130 
(epoch: 12, iters: 1684, time: 0.071, data: 0.006) G_GAN: 0.587 G_L1: 7.650 D_real: 0.140 D_fake: 0.084 
(epoch: 12, iters: 1784, time: 0.071, data: 0.006) G_GAN: 0.409 G_L1: 7.365 D_real: 0.155 D_fake: 0.171 
(epoch: 12, iters: 1884, time: 0.065, data: 0.007) G_GAN: 0.564 G_L1: 8.013 D_real: 0.132 D_fake: 0.086 
(epoch: 12, iters: 1984, time: 0.071, data: 0.006) G_GAN: 0.722 G_L1: 7.362 D_real: 0.112 D_fake: 0.133 
(epoch: 12, iters: 2084, time: 0.067, data: 0.008) G_GAN: 0.721 G_L1: 7.248 D_real: 0.083 D_fake: 0.168 
(epoch: 12, iters: 2184, time: 0.071, data: 0.008) G_GAN: 0.676 G_L1: 7.592 D_real: 0.181 D_fake: 0.068 
(epoch: 12, iters: 2284, time: 0.071, data: 0.006) G_GAN: 0.825 G_L1: 7.161 D_real: 0.020 D_fake: 0.190 
(epoch: 12, iters: 2384, time: 0.071, data: 0.008) G_GAN: 0.583 G_L1: 7.159 D_real: 0.059 D_fake: 0.331 
(epoch: 12, iters: 2484, time: 0.072, data: 0.006) G_GAN: 0.827 G_L1: 8.637 D_real: 0.110 D_fake: 0.025 
(epoch: 12, iters: 2584, time: 0.072, data: 0.009) G_GAN: 0.888 G_L1: 7.958 D_real: 0.019 D_fake: 0.219 
(epoch: 12, iters: 2684, time: 0.071, data: 0.010) G_GAN: 0.789 G_L1: 8.919 D_real: 0.058 D_fake: 0.013 
(epoch: 12, iters: 2784, time: 0.069, data: 0.010) G_GAN: 0.897 G_L1: 8.815 D_real: 0.025 D_fake: 0.046 
(epoch: 12, iters: 2884, time: 0.068, data: 0.006) G_GAN: 0.593 G_L1: 7.539 D_real: 0.365 D_fake: 0.040 
(epoch: 12, iters: 2984, time: 0.071, data: 0.016) G_GAN: 0.499 G_L1: 8.967 D_real: 0.037 D_fake: 0.154 
(epoch: 12, iters: 3084, time: 0.071, data: 0.006) G_GAN: 0.567 G_L1: 7.471 D_real: 0.040 D_fake: 0.282 
(epoch: 12, iters: 3184, time: 0.070, data: 0.007) G_GAN: 0.646 G_L1: 8.779 D_real: 0.104 D_fake: 0.018 
(epoch: 12, iters: 3284, time: 0.072, data: 0.006) G_GAN: 0.691 G_L1: 7.515 D_real: 0.084 D_fake: 0.014 
(epoch: 12, iters: 3384, time: 0.070, data: 0.007) G_GAN: 0.798 G_L1: 8.234 D_real: 0.013 D_fake: 0.122 
(epoch: 12, iters: 3484, time: 0.069, data: 0.006) G_GAN: 0.707 G_L1: 7.799 D_real: 0.020 D_fake: 0.324 
(epoch: 12, iters: 3584, time: 0.164, data: 0.008) G_GAN: 0.664 G_L1: 8.399 D_real: 0.137 D_fake: 0.013 
saving the latest model (epoch 12, total_iters 530000)
(epoch: 12, iters: 3684, time: 0.065, data: 0.007) G_GAN: 0.632 G_L1: 8.885 D_real: 0.051 D_fake: 0.100 
(epoch: 12, iters: 3784, time: 0.071, data: 0.007) G_GAN: 0.600 G_L1: 7.515 D_real: 0.170 D_fake: 0.076 
(epoch: 12, iters: 3884, time: 0.069, data: 0.009) G_GAN: 1.070 G_L1: 8.582 D_real: 0.213 D_fake: 0.046 
(epoch: 12, iters: 3984, time: 0.070, data: 0.006) G_GAN: 0.978 G_L1: 8.141 D_real: 0.019 D_fake: 0.051 
(epoch: 12, iters: 4084, time: 0.071, data: 0.007) G_GAN: 0.805 G_L1: 8.642 D_real: 0.024 D_fake: 0.094 
(epoch: 12, iters: 4184, time: 0.069, data: 0.011) G_GAN: 0.724 G_L1: 8.497 D_real: 0.015 D_fake: 0.140 
(epoch: 12, iters: 4284, time: 0.071, data: 0.009) G_GAN: 0.761 G_L1: 7.563 D_real: 0.057 D_fake: 0.048 
(epoch: 12, iters: 4384, time: 0.071, data: 0.006) G_GAN: 0.640 G_L1: 8.807 D_real: 0.114 D_fake: 0.012 
(epoch: 12, iters: 4484, time: 0.071, data: 0.007) G_GAN: 0.887 G_L1: 8.115 D_real: 0.015 D_fake: 0.041 
(epoch: 12, iters: 4584, time: 0.070, data: 0.009) G_GAN: 0.697 G_L1: 7.348 D_real: 0.062 D_fake: 0.131 
(epoch: 12, iters: 4684, time: 0.069, data: 0.011) G_GAN: 0.688 G_L1: 8.015 D_real: 0.014 D_fake: 0.250 
(epoch: 12, iters: 4784, time: 0.074, data: 0.007) G_GAN: 0.980 G_L1: 8.423 D_real: 0.141 D_fake: 0.023 
(epoch: 12, iters: 4884, time: 0.072, data: 0.008) G_GAN: 0.890 G_L1: 7.957 D_real: 0.027 D_fake: 0.101 
(epoch: 12, iters: 4984, time: 0.070, data: 0.007) G_GAN: 0.870 G_L1: 7.682 D_real: 0.070 D_fake: 0.010 
(epoch: 12, iters: 5084, time: 0.070, data: 0.007) G_GAN: 0.918 G_L1: 8.502 D_real: 0.011 D_fake: 0.033 
(epoch: 12, iters: 5184, time: 0.073, data: 0.010) G_GAN: 0.655 G_L1: 7.386 D_real: 0.116 D_fake: 0.053 
(epoch: 12, iters: 5284, time: 0.069, data: 0.009) G_GAN: 0.790 G_L1: 7.806 D_real: 0.094 D_fake: 0.013 
(epoch: 12, iters: 5384, time: 0.071, data: 0.010) G_GAN: 0.904 G_L1: 8.508 D_real: 0.016 D_fake: 0.010 
(epoch: 12, iters: 5484, time: 0.067, data: 0.010) G_GAN: 0.619 G_L1: 8.419 D_real: 0.104 D_fake: 0.053 
(epoch: 12, iters: 5584, time: 0.152, data: 0.011) G_GAN: 0.703 G_L1: 7.821 D_real: 0.170 D_fake: 0.014 
(epoch: 12, iters: 5684, time: 0.068, data: 0.007) G_GAN: 1.127 G_L1: 8.413 D_real: 0.018 D_fake: 0.073 
(epoch: 12, iters: 5784, time: 0.064, data: 0.006) G_GAN: 0.854 G_L1: 8.206 D_real: 0.018 D_fake: 0.045 
(epoch: 12, iters: 5884, time: 0.071, data: 0.006) G_GAN: 0.987 G_L1: 8.485 D_real: 0.039 D_fake: 0.031 
(epoch: 12, iters: 5984, time: 0.069, data: 0.009) G_GAN: 0.846 G_L1: 8.735 D_real: 0.013 D_fake: 0.129 
(epoch: 12, iters: 6084, time: 0.070, data: 0.008) G_GAN: 0.975 G_L1: 9.327 D_real: 0.011 D_fake: 0.022 
(epoch: 12, iters: 6184, time: 0.070, data: 0.007) G_GAN: 0.783 G_L1: 7.595 D_real: 0.121 D_fake: 0.030 
(epoch: 12, iters: 6284, time: 0.070, data: 0.007) G_GAN: 0.952 G_L1: 6.298 D_real: 0.195 D_fake: 0.013 
(epoch: 12, iters: 6384, time: 0.069, data: 0.009) G_GAN: 0.898 G_L1: 8.113 D_real: 0.026 D_fake: 0.015 
(epoch: 12, iters: 6484, time: 0.071, data: 0.008) G_GAN: 0.829 G_L1: 7.434 D_real: 0.022 D_fake: 0.030 
(epoch: 12, iters: 6584, time: 0.070, data: 0.008) G_GAN: 1.062 G_L1: 8.081 D_real: 0.013 D_fake: 0.021 
(epoch: 12, iters: 6684, time: 0.071, data: 0.006) G_GAN: 1.002 G_L1: 6.727 D_real: 0.012 D_fake: 0.017 
(epoch: 12, iters: 6784, time: 0.068, data: 0.010) G_GAN: 0.894 G_L1: 9.384 D_real: 0.011 D_fake: 0.089 
(epoch: 12, iters: 6884, time: 0.069, data: 0.006) G_GAN: 0.710 G_L1: 7.501 D_real: 0.103 D_fake: 0.026 
(epoch: 12, iters: 6984, time: 0.072, data: 0.006) G_GAN: 1.011 G_L1: 7.833 D_real: 0.011 D_fake: 0.011 
(epoch: 12, iters: 7084, time: 0.071, data: 0.007) G_GAN: 0.843 G_L1: 8.710 D_real: 0.021 D_fake: 0.097 
(epoch: 12, iters: 7184, time: 0.068, data: 0.009) G_GAN: 0.821 G_L1: 9.171 D_real: 0.013 D_fake: 0.011 
(epoch: 12, iters: 7284, time: 0.072, data: 0.007) G_GAN: 0.664 G_L1: 7.247 D_real: 0.048 D_fake: 0.040 
(epoch: 12, iters: 7384, time: 0.068, data: 0.006) G_GAN: 0.857 G_L1: 8.900 D_real: 0.049 D_fake: 0.120 
(epoch: 12, iters: 7484, time: 0.069, data: 0.007) G_GAN: 0.765 G_L1: 7.611 D_real: 0.021 D_fake: 0.012 
(epoch: 12, iters: 7584, time: 0.154, data: 0.011) G_GAN: 0.659 G_L1: 8.734 D_real: 0.188 D_fake: 0.017 
(epoch: 12, iters: 7684, time: 0.071, data: 0.008) G_GAN: 1.626 G_L1: 8.720 D_real: 0.023 D_fake: 0.080 
(epoch: 12, iters: 7784, time: 0.069, data: 0.007) G_GAN: 0.751 G_L1: 7.745 D_real: 0.148 D_fake: 0.022 
(epoch: 12, iters: 7884, time: 0.068, data: 0.009) G_GAN: 0.543 G_L1: 7.429 D_real: 0.226 D_fake: 0.053 
(epoch: 12, iters: 7984, time: 0.070, data: 0.007) G_GAN: 0.715 G_L1: 7.546 D_real: 0.053 D_fake: 0.010 
(epoch: 12, iters: 8084, time: 0.072, data: 0.009) G_GAN: 0.785 G_L1: 8.279 D_real: 0.343 D_fake: 0.015 
(epoch: 12, iters: 8184, time: 0.071, data: 0.005) G_GAN: 1.477 G_L1: 8.209 D_real: 0.012 D_fake: 0.100 
(epoch: 12, iters: 8284, time: 0.070, data: 0.007) G_GAN: 0.950 G_L1: 8.863 D_real: 0.026 D_fake: 0.014 
(epoch: 12, iters: 8384, time: 0.071, data: 0.008) G_GAN: 0.996 G_L1: 8.488 D_real: 0.043 D_fake: 0.081 
(epoch: 12, iters: 8484, time: 0.072, data: 0.012) G_GAN: 0.705 G_L1: 7.500 D_real: 0.085 D_fake: 0.156 
(epoch: 12, iters: 8584, time: 0.070, data: 0.007) G_GAN: 1.008 G_L1: 8.493 D_real: 0.016 D_fake: 0.027 
saving the latest model (epoch 12, total_iters 535000)
(epoch: 12, iters: 8684, time: 0.073, data: 0.008) G_GAN: 1.045 G_L1: 8.009 D_real: 0.070 D_fake: 0.025 
(epoch: 12, iters: 8784, time: 0.074, data: 0.008) G_GAN: 0.923 G_L1: 8.357 D_real: 0.012 D_fake: 0.046 
(epoch: 12, iters: 8884, time: 0.073, data: 0.007) G_GAN: 0.640 G_L1: 8.375 D_real: 0.023 D_fake: 0.015 
(epoch: 12, iters: 8984, time: 0.072, data: 0.010) G_GAN: 0.949 G_L1: 6.745 D_real: 0.023 D_fake: 0.012 
(epoch: 12, iters: 9084, time: 0.070, data: 0.007) G_GAN: 0.768 G_L1: 8.131 D_real: 0.024 D_fake: 0.033 
(epoch: 12, iters: 9184, time: 0.071, data: 0.009) G_GAN: 0.885 G_L1: 8.241 D_real: 0.012 D_fake: 0.023 
(epoch: 12, iters: 9284, time: 0.072, data: 0.012) G_GAN: 0.721 G_L1: 8.057 D_real: 0.088 D_fake: 0.017 
(epoch: 12, iters: 9384, time: 0.071, data: 0.012) G_GAN: 0.782 G_L1: 9.742 D_real: 0.028 D_fake: 0.009 
(epoch: 12, iters: 9484, time: 0.071, data: 0.009) G_GAN: 1.628 G_L1: 9.211 D_real: 0.057 D_fake: 0.133 
(epoch: 12, iters: 9584, time: 0.156, data: 0.008) G_GAN: 0.924 G_L1: 9.615 D_real: 0.043 D_fake: 0.015 
(epoch: 12, iters: 9684, time: 0.074, data: 0.006) G_GAN: 0.923 G_L1: 8.558 D_real: 0.016 D_fake: 0.023 
(epoch: 12, iters: 9784, time: 0.074, data: 0.008) G_GAN: 0.894 G_L1: 7.355 D_real: 0.019 D_fake: 0.039 
(epoch: 12, iters: 9884, time: 0.073, data: 0.006) G_GAN: 0.995 G_L1: 7.820 D_real: 0.047 D_fake: 0.088 
(epoch: 12, iters: 9984, time: 0.073, data: 0.011) G_GAN: 1.093 G_L1: 7.647 D_real: 0.077 D_fake: 0.280 
(epoch: 12, iters: 10084, time: 0.072, data: 0.011) G_GAN: 1.080 G_L1: 8.020 D_real: 0.016 D_fake: 0.035 
(epoch: 12, iters: 10184, time: 0.073, data: 0.006) G_GAN: 1.093 G_L1: 7.586 D_real: 0.013 D_fake: 0.012 
(epoch: 12, iters: 10284, time: 0.073, data: 0.007) G_GAN: 0.937 G_L1: 6.999 D_real: 0.110 D_fake: 0.048 
(epoch: 12, iters: 10384, time: 0.073, data: 0.009) G_GAN: 0.980 G_L1: 7.962 D_real: 0.014 D_fake: 0.081 
(epoch: 12, iters: 10484, time: 0.073, data: 0.007) G_GAN: 0.925 G_L1: 9.426 D_real: 0.023 D_fake: 0.010 
(epoch: 12, iters: 10584, time: 0.073, data: 0.014) G_GAN: 0.767 G_L1: 8.712 D_real: 0.069 D_fake: 0.069 
(epoch: 12, iters: 10684, time: 0.072, data: 0.007) G_GAN: 0.698 G_L1: 8.248 D_real: 0.014 D_fake: 0.040 
(epoch: 12, iters: 10784, time: 0.072, data: 0.007) G_GAN: 1.147 G_L1: 6.967 D_real: 0.056 D_fake: 0.050 
(epoch: 12, iters: 10884, time: 0.073, data: 0.009) G_GAN: 0.784 G_L1: 9.465 D_real: 0.046 D_fake: 0.011 
(epoch: 12, iters: 10984, time: 0.071, data: 0.010) G_GAN: 1.160 G_L1: 8.592 D_real: 0.035 D_fake: 0.098 
(epoch: 12, iters: 11084, time: 0.072, data: 0.007) G_GAN: 0.811 G_L1: 7.649 D_real: 0.047 D_fake: 0.047 
(epoch: 12, iters: 11184, time: 0.073, data: 0.007) G_GAN: 0.711 G_L1: 7.564 D_real: 0.125 D_fake: 0.016 
(epoch: 12, iters: 11284, time: 0.074, data: 0.010) G_GAN: 0.736 G_L1: 6.874 D_real: 0.013 D_fake: 0.045 
(epoch: 12, iters: 11384, time: 0.073, data: 0.007) G_GAN: 0.961 G_L1: 8.324 D_real: 0.015 D_fake: 0.008 
(epoch: 12, iters: 11484, time: 0.073, data: 0.010) G_GAN: 1.059 G_L1: 7.602 D_real: 0.017 D_fake: 0.077 
(epoch: 12, iters: 11584, time: 0.158, data: 0.009) G_GAN: 0.997 G_L1: 7.441 D_real: 0.062 D_fake: 0.039 
(epoch: 12, iters: 11684, time: 0.072, data: 0.006) G_GAN: 0.781 G_L1: 7.243 D_real: 0.060 D_fake: 0.021 
(epoch: 12, iters: 11784, time: 0.072, data: 0.009) G_GAN: 0.846 G_L1: 8.033 D_real: 0.100 D_fake: 0.029 
(epoch: 12, iters: 11884, time: 0.072, data: 0.006) G_GAN: 1.055 G_L1: 7.992 D_real: 0.011 D_fake: 0.153 
(epoch: 12, iters: 11984, time: 0.073, data: 0.006) G_GAN: 0.915 G_L1: 7.197 D_real: 0.139 D_fake: 0.013 
(epoch: 12, iters: 12084, time: 0.073, data: 0.007) G_GAN: 0.850 G_L1: 8.993 D_real: 0.065 D_fake: 0.014 
(epoch: 12, iters: 12184, time: 0.071, data: 0.010) G_GAN: 0.829 G_L1: 7.769 D_real: 0.013 D_fake: 0.044 
(epoch: 12, iters: 12284, time: 0.072, data: 0.008) G_GAN: 0.937 G_L1: 8.614 D_real: 0.013 D_fake: 0.015 
(epoch: 12, iters: 12384, time: 0.071, data: 0.006) G_GAN: 0.769 G_L1: 8.272 D_real: 0.042 D_fake: 0.010 
(epoch: 12, iters: 12484, time: 0.073, data: 0.009) G_GAN: 0.846 G_L1: 8.293 D_real: 0.038 D_fake: 0.018 
(epoch: 12, iters: 12584, time: 0.070, data: 0.008) G_GAN: 1.008 G_L1: 8.239 D_real: 0.013 D_fake: 0.022 
(epoch: 12, iters: 12684, time: 0.071, data: 0.006) G_GAN: 0.575 G_L1: 7.751 D_real: 0.062 D_fake: 0.009 
(epoch: 12, iters: 12784, time: 0.072, data: 0.006) G_GAN: 0.765 G_L1: 7.886 D_real: 0.028 D_fake: 0.100 
(epoch: 12, iters: 12884, time: 0.072, data: 0.009) G_GAN: 1.138 G_L1: 7.448 D_real: 0.011 D_fake: 0.073 
(epoch: 12, iters: 12984, time: 0.072, data: 0.009) G_GAN: 0.940 G_L1: 8.403 D_real: 0.026 D_fake: 0.113 
(epoch: 12, iters: 13084, time: 0.070, data: 0.006) G_GAN: 1.054 G_L1: 8.081 D_real: 0.023 D_fake: 0.068 
(epoch: 12, iters: 13184, time: 0.072, data: 0.005) G_GAN: 0.958 G_L1: 8.458 D_real: 0.015 D_fake: 0.012 
(epoch: 12, iters: 13284, time: 0.072, data: 0.012) G_GAN: 0.865 G_L1: 8.088 D_real: 0.053 D_fake: 0.044 
(epoch: 12, iters: 13384, time: 0.074, data: 0.008) G_GAN: 1.193 G_L1: 7.811 D_real: 0.083 D_fake: 0.304 
(epoch: 12, iters: 13484, time: 0.071, data: 0.008) G_GAN: 1.001 G_L1: 7.646 D_real: 0.032 D_fake: 0.012 
(epoch: 12, iters: 13584, time: 0.153, data: 0.007) G_GAN: 0.923 G_L1: 8.722 D_real: 0.013 D_fake: 0.019 
saving the latest model (epoch 12, total_iters 540000)
(epoch: 12, iters: 13684, time: 0.072, data: 0.006) G_GAN: 0.915 G_L1: 8.818 D_real: 0.019 D_fake: 0.096 
(epoch: 12, iters: 13784, time: 0.073, data: 0.014) G_GAN: 1.093 G_L1: 9.079 D_real: 0.035 D_fake: 0.055 
(epoch: 12, iters: 13884, time: 0.073, data: 0.011) G_GAN: 0.817 G_L1: 8.495 D_real: 0.066 D_fake: 0.016 
(epoch: 12, iters: 13984, time: 0.073, data: 0.007) G_GAN: 0.782 G_L1: 7.858 D_real: 0.065 D_fake: 0.018 
(epoch: 12, iters: 14084, time: 0.071, data: 0.007) G_GAN: 1.025 G_L1: 9.533 D_real: 0.017 D_fake: 0.057 
(epoch: 12, iters: 14184, time: 0.073, data: 0.009) G_GAN: 0.702 G_L1: 8.421 D_real: 0.107 D_fake: 0.058 
(epoch: 12, iters: 14284, time: 0.073, data: 0.006) G_GAN: 0.703 G_L1: 8.473 D_real: 0.033 D_fake: 0.030 
(epoch: 12, iters: 14384, time: 0.074, data: 0.007) G_GAN: 0.900 G_L1: 9.064 D_real: 0.013 D_fake: 0.010 
(epoch: 12, iters: 14484, time: 0.074, data: 0.007) G_GAN: 0.861 G_L1: 8.039 D_real: 0.025 D_fake: 0.037 
(epoch: 12, iters: 14584, time: 0.073, data: 0.007) G_GAN: 0.994 G_L1: 9.011 D_real: 0.013 D_fake: 0.047 
(epoch: 12, iters: 14684, time: 0.072, data: 0.007) G_GAN: 0.646 G_L1: 8.672 D_real: 0.130 D_fake: 0.010 
(epoch: 12, iters: 14784, time: 0.072, data: 0.007) G_GAN: 0.730 G_L1: 7.481 D_real: 0.065 D_fake: 0.059 
(epoch: 12, iters: 14884, time: 0.074, data: 0.009) G_GAN: 0.916 G_L1: 8.724 D_real: 0.031 D_fake: 0.317 
(epoch: 12, iters: 14984, time: 0.071, data: 0.010) G_GAN: 0.722 G_L1: 7.718 D_real: 0.021 D_fake: 0.034 
(epoch: 12, iters: 15084, time: 0.073, data: 0.007) G_GAN: 0.599 G_L1: 8.025 D_real: 0.019 D_fake: 0.143 
(epoch: 12, iters: 15184, time: 0.073, data: 0.010) G_GAN: 0.894 G_L1: 7.415 D_real: 0.037 D_fake: 0.038 
(epoch: 12, iters: 15284, time: 0.072, data: 0.006) G_GAN: 0.676 G_L1: 7.621 D_real: 0.197 D_fake: 0.010 
(epoch: 12, iters: 15384, time: 0.073, data: 0.013) G_GAN: 1.070 G_L1: 8.114 D_real: 0.048 D_fake: 0.014 
(epoch: 12, iters: 15484, time: 0.073, data: 0.012) G_GAN: 0.819 G_L1: 8.397 D_real: 0.039 D_fake: 0.018 
(epoch: 12, iters: 15584, time: 0.158, data: 0.007) G_GAN: 0.873 G_L1: 8.160 D_real: 0.021 D_fake: 0.010 
(epoch: 12, iters: 15684, time: 0.073, data: 0.009) G_GAN: 0.713 G_L1: 6.993 D_real: 0.291 D_fake: 0.033 
(epoch: 12, iters: 15784, time: 0.072, data: 0.006) G_GAN: 0.651 G_L1: 8.721 D_real: 0.132 D_fake: 0.026 
(epoch: 12, iters: 15884, time: 0.074, data: 0.010) G_GAN: 1.013 G_L1: 8.660 D_real: 0.097 D_fake: 0.069 
(epoch: 12, iters: 15984, time: 0.072, data: 0.012) G_GAN: 0.584 G_L1: 7.898 D_real: 0.063 D_fake: 0.106 
(epoch: 12, iters: 16084, time: 0.072, data: 0.006) G_GAN: 0.965 G_L1: 8.972 D_real: 0.016 D_fake: 0.047 
(epoch: 12, iters: 16184, time: 0.073, data: 0.009) G_GAN: 0.980 G_L1: 9.896 D_real: 0.011 D_fake: 0.010 
(epoch: 12, iters: 16284, time: 0.073, data: 0.008) G_GAN: 0.735 G_L1: 8.034 D_real: 0.200 D_fake: 0.009 
(epoch: 12, iters: 16384, time: 0.070, data: 0.006) G_GAN: 1.054 G_L1: 7.845 D_real: 0.181 D_fake: 0.012 
(epoch: 12, iters: 16484, time: 0.072, data: 0.010) G_GAN: 0.733 G_L1: 8.605 D_real: 0.074 D_fake: 0.069 
(epoch: 12, iters: 16584, time: 0.070, data: 0.008) G_GAN: 1.081 G_L1: 9.608 D_real: 0.015 D_fake: 0.019 
(epoch: 12, iters: 16684, time: 0.071, data: 0.008) G_GAN: 1.020 G_L1: 8.024 D_real: 0.015 D_fake: 0.018 
(epoch: 12, iters: 16784, time: 0.074, data: 0.010) G_GAN: 0.725 G_L1: 7.477 D_real: 0.096 D_fake: 0.017 
(epoch: 12, iters: 16884, time: 0.072, data: 0.007) G_GAN: 0.952 G_L1: 7.637 D_real: 0.010 D_fake: 0.018 
(epoch: 12, iters: 16984, time: 0.072, data: 0.009) G_GAN: 0.879 G_L1: 7.382 D_real: 0.019 D_fake: 0.061 
(epoch: 12, iters: 17084, time: 0.071, data: 0.006) G_GAN: 0.918 G_L1: 7.626 D_real: 0.032 D_fake: 0.080 
(epoch: 12, iters: 17184, time: 0.070, data: 0.008) G_GAN: 0.864 G_L1: 9.716 D_real: 0.034 D_fake: 0.009 
(epoch: 12, iters: 17284, time: 0.071, data: 0.011) G_GAN: 1.189 G_L1: 6.879 D_real: 0.050 D_fake: 0.072 
(epoch: 12, iters: 17384, time: 0.074, data: 0.007) G_GAN: 0.840 G_L1: 8.958 D_real: 0.035 D_fake: 0.018 
(epoch: 12, iters: 17484, time: 0.073, data: 0.007) G_GAN: 0.992 G_L1: 8.026 D_real: 0.014 D_fake: 0.022 
(epoch: 12, iters: 17584, time: 0.160, data: 0.005) G_GAN: 0.959 G_L1: 7.751 D_real: 0.010 D_fake: 0.071 
(epoch: 12, iters: 17684, time: 0.072, data: 0.006) G_GAN: 0.757 G_L1: 7.016 D_real: 0.103 D_fake: 0.046 
(epoch: 12, iters: 17784, time: 0.072, data: 0.006) G_GAN: 0.989 G_L1: 8.699 D_real: 0.026 D_fake: 0.052 
(epoch: 12, iters: 17884, time: 0.072, data: 0.010) G_GAN: 1.000 G_L1: 7.013 D_real: 0.029 D_fake: 0.021 
(epoch: 12, iters: 17984, time: 0.074, data: 0.011) G_GAN: 0.776 G_L1: 7.672 D_real: 0.060 D_fake: 0.031 
(epoch: 12, iters: 18084, time: 0.071, data: 0.007) G_GAN: 0.818 G_L1: 9.474 D_real: 0.019 D_fake: 0.033 
(epoch: 12, iters: 18184, time: 0.072, data: 0.007) G_GAN: 0.705 G_L1: 8.141 D_real: 0.124 D_fake: 0.075 
(epoch: 12, iters: 18284, time: 0.073, data: 0.005) G_GAN: 1.023 G_L1: 9.049 D_real: 0.021 D_fake: 0.014 
(epoch: 12, iters: 18384, time: 0.072, data: 0.011) G_GAN: 0.638 G_L1: 8.448 D_real: 0.026 D_fake: 0.079 
(epoch: 12, iters: 18484, time: 0.074, data: 0.011) G_GAN: 1.110 G_L1: 8.799 D_real: 0.010 D_fake: 0.009 
(epoch: 12, iters: 18584, time: 0.074, data: 0.010) G_GAN: 0.964 G_L1: 7.302 D_real: 0.017 D_fake: 0.090 
saving the latest model (epoch 12, total_iters 545000)
(epoch: 12, iters: 18684, time: 0.070, data: 0.007) G_GAN: 1.182 G_L1: 7.906 D_real: 0.014 D_fake: 0.092 
(epoch: 12, iters: 18784, time: 0.073, data: 0.006) G_GAN: 0.847 G_L1: 8.070 D_real: 0.036 D_fake: 0.011 
(epoch: 12, iters: 18884, time: 0.072, data: 0.007) G_GAN: 0.729 G_L1: 8.501 D_real: 0.042 D_fake: 0.106 
(epoch: 12, iters: 18984, time: 0.070, data: 0.011) G_GAN: 0.908 G_L1: 8.047 D_real: 0.090 D_fake: 0.077 
(epoch: 12, iters: 19084, time: 0.073, data: 0.007) G_GAN: 1.018 G_L1: 8.173 D_real: 0.014 D_fake: 0.012 
(epoch: 12, iters: 19184, time: 0.073, data: 0.007) G_GAN: 0.757 G_L1: 7.800 D_real: 0.061 D_fake: 0.012 
(epoch: 12, iters: 19284, time: 0.073, data: 0.006) G_GAN: 0.966 G_L1: 8.908 D_real: 0.023 D_fake: 0.024 
(epoch: 12, iters: 19384, time: 0.073, data: 0.008) G_GAN: 0.954 G_L1: 9.385 D_real: 0.023 D_fake: 0.012 
(epoch: 12, iters: 19484, time: 0.069, data: 0.010) G_GAN: 0.928 G_L1: 8.572 D_real: 0.020 D_fake: 0.020 
(epoch: 12, iters: 19584, time: 0.160, data: 0.010) G_GAN: 0.830 G_L1: 7.566 D_real: 0.070 D_fake: 0.014 
(epoch: 12, iters: 19684, time: 0.070, data: 0.008) G_GAN: 1.049 G_L1: 7.267 D_real: 0.040 D_fake: 0.030 
(epoch: 12, iters: 19784, time: 0.071, data: 0.008) G_GAN: 1.235 G_L1: 7.815 D_real: 0.032 D_fake: 0.114 
(epoch: 12, iters: 19884, time: 0.072, data: 0.009) G_GAN: 0.937 G_L1: 9.214 D_real: 0.014 D_fake: 0.058 
(epoch: 12, iters: 19984, time: 0.073, data: 0.014) G_GAN: 1.128 G_L1: 7.673 D_real: 0.010 D_fake: 0.046 
(epoch: 12, iters: 20084, time: 0.073, data: 0.007) G_GAN: 0.844 G_L1: 8.247 D_real: 0.086 D_fake: 0.011 
(epoch: 12, iters: 20184, time: 0.073, data: 0.006) G_GAN: 0.841 G_L1: 7.552 D_real: 0.050 D_fake: 0.076 
(epoch: 12, iters: 20284, time: 0.072, data: 0.009) G_GAN: 0.561 G_L1: 6.429 D_real: 0.092 D_fake: 0.016 
(epoch: 12, iters: 20384, time: 0.073, data: 0.008) G_GAN: 1.033 G_L1: 8.563 D_real: 0.043 D_fake: 0.011 
(epoch: 12, iters: 20484, time: 0.073, data: 0.005) G_GAN: 0.982 G_L1: 9.632 D_real: 0.014 D_fake: 0.057 
(epoch: 12, iters: 20584, time: 0.072, data: 0.007) G_GAN: 0.981 G_L1: 9.040 D_real: 0.017 D_fake: 0.022 
(epoch: 12, iters: 20684, time: 0.072, data: 0.008) G_GAN: 0.997 G_L1: 7.667 D_real: 0.012 D_fake: 0.084 
(epoch: 12, iters: 20784, time: 0.073, data: 0.006) G_GAN: 0.999 G_L1: 8.440 D_real: 0.017 D_fake: 0.010 
(epoch: 12, iters: 20884, time: 0.074, data: 0.006) G_GAN: 0.953 G_L1: 7.531 D_real: 0.087 D_fake: 0.020 
(epoch: 12, iters: 20984, time: 0.070, data: 0.006) G_GAN: 0.653 G_L1: 7.714 D_real: 0.142 D_fake: 0.014 
(epoch: 12, iters: 21084, time: 0.071, data: 0.009) G_GAN: 0.871 G_L1: 8.306 D_real: 0.041 D_fake: 0.023 
(epoch: 12, iters: 21184, time: 0.069, data: 0.010) G_GAN: 0.967 G_L1: 7.785 D_real: 0.012 D_fake: 0.031 
(epoch: 12, iters: 21284, time: 0.072, data: 0.007) G_GAN: 0.814 G_L1: 7.736 D_real: 0.109 D_fake: 0.015 
(epoch: 12, iters: 21384, time: 0.070, data: 0.007) G_GAN: 0.808 G_L1: 7.052 D_real: 0.016 D_fake: 0.151 
(epoch: 12, iters: 21484, time: 0.070, data: 0.007) G_GAN: 0.868 G_L1: 7.534 D_real: 0.019 D_fake: 0.180 
(epoch: 12, iters: 21584, time: 0.151, data: 0.007) G_GAN: 1.157 G_L1: 8.863 D_real: 0.021 D_fake: 0.220 
(epoch: 12, iters: 21684, time: 0.074, data: 0.007) G_GAN: 0.852 G_L1: 8.537 D_real: 0.069 D_fake: 0.072 
(epoch: 12, iters: 21784, time: 0.074, data: 0.010) G_GAN: 0.843 G_L1: 9.845 D_real: 0.015 D_fake: 0.022 
(epoch: 12, iters: 21884, time: 0.072, data: 0.006) G_GAN: 0.799 G_L1: 7.706 D_real: 0.120 D_fake: 0.010 
(epoch: 12, iters: 21984, time: 0.071, data: 0.012) G_GAN: 0.896 G_L1: 8.750 D_real: 0.017 D_fake: 0.023 
(epoch: 12, iters: 22084, time: 0.073, data: 0.011) G_GAN: 0.737 G_L1: 7.850 D_real: 0.161 D_fake: 0.018 
(epoch: 12, iters: 22184, time: 0.073, data: 0.007) G_GAN: 0.909 G_L1: 8.948 D_real: 0.025 D_fake: 0.037 
(epoch: 12, iters: 22284, time: 0.072, data: 0.005) G_GAN: 1.366 G_L1: 8.757 D_real: 0.047 D_fake: 0.208 
(epoch: 12, iters: 22384, time: 0.071, data: 0.008) G_GAN: 1.031 G_L1: 9.102 D_real: 0.041 D_fake: 0.029 
(epoch: 12, iters: 22484, time: 0.072, data: 0.010) G_GAN: 0.855 G_L1: 7.546 D_real: 0.013 D_fake: 0.184 
(epoch: 12, iters: 22584, time: 0.072, data: 0.007) G_GAN: 0.966 G_L1: 8.637 D_real: 0.013 D_fake: 0.031 
(epoch: 12, iters: 22684, time: 0.074, data: 0.011) G_GAN: 1.300 G_L1: 8.721 D_real: 0.053 D_fake: 0.214 
(epoch: 12, iters: 22784, time: 0.073, data: 0.010) G_GAN: 0.514 G_L1: 7.447 D_real: 0.172 D_fake: 0.009 
(epoch: 12, iters: 22884, time: 0.073, data: 0.006) G_GAN: 0.777 G_L1: 7.232 D_real: 0.158 D_fake: 0.016 
(epoch: 12, iters: 22984, time: 0.071, data: 0.006) G_GAN: 0.840 G_L1: 9.243 D_real: 0.033 D_fake: 0.013 
(epoch: 12, iters: 23084, time: 0.073, data: 0.006) G_GAN: 1.006 G_L1: 7.492 D_real: 0.016 D_fake: 0.038 
(epoch: 12, iters: 23184, time: 0.072, data: 0.007) G_GAN: 0.653 G_L1: 6.355 D_real: 0.095 D_fake: 0.238 
(epoch: 12, iters: 23284, time: 0.073, data: 0.008) G_GAN: 0.584 G_L1: 7.226 D_real: 0.014 D_fake: 0.455 
(epoch: 12, iters: 23384, time: 0.072, data: 0.005) G_GAN: 1.019 G_L1: 7.277 D_real: 0.016 D_fake: 0.037 
(epoch: 12, iters: 23484, time: 0.073, data: 0.009) G_GAN: 0.824 G_L1: 8.451 D_real: 0.034 D_fake: 0.036 
(epoch: 12, iters: 23584, time: 0.161, data: 0.011) G_GAN: 0.925 G_L1: 7.888 D_real: 0.113 D_fake: 0.013 
saving the latest model (epoch 12, total_iters 550000)
(epoch: 12, iters: 23684, time: 0.073, data: 0.007) G_GAN: 1.059 G_L1: 8.464 D_real: 0.015 D_fake: 0.013 
(epoch: 12, iters: 23784, time: 0.073, data: 0.009) G_GAN: 0.667 G_L1: 8.188 D_real: 0.058 D_fake: 0.011 
(epoch: 12, iters: 23884, time: 0.071, data: 0.007) G_GAN: 0.866 G_L1: 8.131 D_real: 0.167 D_fake: 0.020 
(epoch: 12, iters: 23984, time: 0.073, data: 0.009) G_GAN: 0.863 G_L1: 8.792 D_real: 0.041 D_fake: 0.027 
(epoch: 12, iters: 24084, time: 0.073, data: 0.006) G_GAN: 1.009 G_L1: 7.876 D_real: 0.030 D_fake: 0.058 
(epoch: 12, iters: 24184, time: 0.074, data: 0.008) G_GAN: 0.955 G_L1: 7.639 D_real: 0.014 D_fake: 0.034 
(epoch: 12, iters: 24284, time: 0.074, data: 0.009) G_GAN: 0.602 G_L1: 8.239 D_real: 0.086 D_fake: 0.060 
(epoch: 12, iters: 24384, time: 0.072, data: 0.007) G_GAN: 0.994 G_L1: 9.505 D_real: 0.015 D_fake: 0.098 
(epoch: 12, iters: 24484, time: 0.072, data: 0.008) G_GAN: 1.044 G_L1: 8.614 D_real: 0.012 D_fake: 0.017 
(epoch: 12, iters: 24584, time: 0.073, data: 0.007) G_GAN: 0.779 G_L1: 7.251 D_real: 0.015 D_fake: 0.020 
(epoch: 12, iters: 24684, time: 0.072, data: 0.008) G_GAN: 0.680 G_L1: 8.405 D_real: 0.028 D_fake: 0.043 
(epoch: 12, iters: 24784, time: 0.073, data: 0.007) G_GAN: 1.035 G_L1: 7.428 D_real: 0.104 D_fake: 0.113 
(epoch: 12, iters: 24884, time: 0.072, data: 0.010) G_GAN: 1.264 G_L1: 7.013 D_real: 0.014 D_fake: 0.044 
(epoch: 12, iters: 24984, time: 0.071, data: 0.009) G_GAN: 1.059 G_L1: 9.335 D_real: 0.021 D_fake: 0.040 
(epoch: 12, iters: 25084, time: 0.070, data: 0.010) G_GAN: 1.318 G_L1: 7.497 D_real: 0.021 D_fake: 0.051 
(epoch: 12, iters: 25184, time: 0.072, data: 0.010) G_GAN: 1.004 G_L1: 7.258 D_real: 0.061 D_fake: 0.058 
(epoch: 12, iters: 25284, time: 0.072, data: 0.007) G_GAN: 1.094 G_L1: 8.448 D_real: 0.022 D_fake: 0.054 
(epoch: 12, iters: 25384, time: 0.071, data: 0.005) G_GAN: 0.655 G_L1: 7.555 D_real: 0.020 D_fake: 0.132 
(epoch: 12, iters: 25484, time: 0.073, data: 0.008) G_GAN: 0.764 G_L1: 8.778 D_real: 0.064 D_fake: 0.029 
(epoch: 12, iters: 25584, time: 0.159, data: 0.012) G_GAN: 0.940 G_L1: 8.536 D_real: 0.017 D_fake: 0.098 
(epoch: 12, iters: 25684, time: 0.073, data: 0.007) G_GAN: 0.919 G_L1: 7.401 D_real: 0.016 D_fake: 0.025 
(epoch: 12, iters: 25784, time: 0.072, data: 0.006) G_GAN: 0.585 G_L1: 9.006 D_real: 0.195 D_fake: 0.038 
(epoch: 12, iters: 25884, time: 0.072, data: 0.005) G_GAN: 0.888 G_L1: 8.222 D_real: 0.017 D_fake: 0.015 
(epoch: 12, iters: 25984, time: 0.074, data: 0.005) G_GAN: 0.918 G_L1: 6.674 D_real: 0.090 D_fake: 0.014 
(epoch: 12, iters: 26084, time: 0.072, data: 0.008) G_GAN: 0.731 G_L1: 7.218 D_real: 0.121 D_fake: 0.032 
(epoch: 12, iters: 26184, time: 0.073, data: 0.011) G_GAN: 0.949 G_L1: 8.307 D_real: 0.012 D_fake: 0.060 
(epoch: 12, iters: 26284, time: 0.071, data: 0.012) G_GAN: 0.762 G_L1: 7.471 D_real: 0.025 D_fake: 0.061 
(epoch: 12, iters: 26384, time: 0.073, data: 0.007) G_GAN: 1.173 G_L1: 9.289 D_real: 0.012 D_fake: 0.017 
(epoch: 12, iters: 26484, time: 0.072, data: 0.010) G_GAN: 0.948 G_L1: 9.996 D_real: 0.019 D_fake: 0.019 
(epoch: 12, iters: 26584, time: 0.071, data: 0.007) G_GAN: 1.065 G_L1: 9.417 D_real: 0.195 D_fake: 0.132 
(epoch: 12, iters: 26684, time: 0.074, data: 0.011) G_GAN: 0.861 G_L1: 8.348 D_real: 0.099 D_fake: 0.028 
(epoch: 12, iters: 26784, time: 0.073, data: 0.009) G_GAN: 1.066 G_L1: 7.670 D_real: 0.085 D_fake: 0.057 
(epoch: 12, iters: 26884, time: 0.071, data: 0.011) G_GAN: 0.958 G_L1: 7.803 D_real: 0.012 D_fake: 0.074 
(epoch: 12, iters: 26984, time: 0.072, data: 0.009) G_GAN: 0.792 G_L1: 8.425 D_real: 0.051 D_fake: 0.010 
(epoch: 12, iters: 27084, time: 0.072, data: 0.010) G_GAN: 1.000 G_L1: 7.976 D_real: 0.050 D_fake: 0.033 
(epoch: 12, iters: 27184, time: 0.073, data: 0.007) G_GAN: 1.117 G_L1: 7.194 D_real: 0.017 D_fake: 0.022 
(epoch: 12, iters: 27284, time: 0.072, data: 0.012) G_GAN: 0.642 G_L1: 7.905 D_real: 0.022 D_fake: 0.053 
(epoch: 12, iters: 27384, time: 0.073, data: 0.007) G_GAN: 0.820 G_L1: 6.803 D_real: 0.023 D_fake: 0.008 
(epoch: 12, iters: 27484, time: 0.073, data: 0.010) G_GAN: 1.127 G_L1: 9.249 D_real: 0.015 D_fake: 0.022 
(epoch: 12, iters: 27584, time: 0.154, data: 0.008) G_GAN: 1.000 G_L1: 8.462 D_real: 0.021 D_fake: 0.018 
(epoch: 12, iters: 27684, time: 0.071, data: 0.008) G_GAN: 1.145 G_L1: 9.739 D_real: 0.035 D_fake: 0.010 
(epoch: 12, iters: 27784, time: 0.072, data: 0.011) G_GAN: 0.801 G_L1: 9.018 D_real: 0.064 D_fake: 0.040 
(epoch: 12, iters: 27884, time: 0.072, data: 0.006) G_GAN: 1.224 G_L1: 9.717 D_real: 0.026 D_fake: 0.057 
(epoch: 12, iters: 27984, time: 0.070, data: 0.007) G_GAN: 0.834 G_L1: 6.884 D_real: 0.010 D_fake: 0.026 
(epoch: 12, iters: 28084, time: 0.072, data: 0.007) G_GAN: 1.127 G_L1: 8.333 D_real: 0.015 D_fake: 0.027 
(epoch: 12, iters: 28184, time: 0.072, data: 0.010) G_GAN: 1.250 G_L1: 8.762 D_real: 0.063 D_fake: 0.022 
(epoch: 12, iters: 28284, time: 0.069, data: 0.008) G_GAN: 0.809 G_L1: 8.356 D_real: 0.031 D_fake: 0.054 
(epoch: 12, iters: 28384, time: 0.069, data: 0.007) G_GAN: 1.124 G_L1: 8.738 D_real: 0.014 D_fake: 0.013 
(epoch: 12, iters: 28484, time: 0.072, data: 0.010) G_GAN: 0.830 G_L1: 7.449 D_real: 0.033 D_fake: 0.079 
(epoch: 12, iters: 28584, time: 0.070, data: 0.012) G_GAN: 1.167 G_L1: 9.349 D_real: 0.572 D_fake: 0.428 
saving the latest model (epoch 12, total_iters 555000)
(epoch: 12, iters: 28684, time: 0.074, data: 0.008) G_GAN: 0.833 G_L1: 7.543 D_real: 0.065 D_fake: 0.016 
(epoch: 12, iters: 28784, time: 0.074, data: 0.011) G_GAN: 0.812 G_L1: 7.557 D_real: 0.112 D_fake: 0.011 
(epoch: 12, iters: 28884, time: 0.073, data: 0.008) G_GAN: 0.619 G_L1: 7.124 D_real: 0.186 D_fake: 0.028 
(epoch: 12, iters: 28984, time: 0.073, data: 0.007) G_GAN: 0.645 G_L1: 7.943 D_real: 0.058 D_fake: 0.090 
(epoch: 12, iters: 29084, time: 0.071, data: 0.006) G_GAN: 0.923 G_L1: 8.288 D_real: 0.175 D_fake: 0.010 
(epoch: 12, iters: 29184, time: 0.073, data: 0.008) G_GAN: 0.824 G_L1: 7.859 D_real: 0.054 D_fake: 0.012 
(epoch: 12, iters: 29284, time: 0.073, data: 0.006) G_GAN: 0.957 G_L1: 6.986 D_real: 0.091 D_fake: 0.031 
(epoch: 12, iters: 29384, time: 0.074, data: 0.006) G_GAN: 0.788 G_L1: 7.580 D_real: 0.090 D_fake: 0.044 
(epoch: 12, iters: 29484, time: 0.074, data: 0.009) G_GAN: 0.667 G_L1: 6.948 D_real: 0.250 D_fake: 0.014 
(epoch: 12, iters: 29584, time: 0.157, data: 0.009) G_GAN: 0.931 G_L1: 7.792 D_real: 0.029 D_fake: 0.041 
(epoch: 12, iters: 29684, time: 0.072, data: 0.006) G_GAN: 0.909 G_L1: 9.427 D_real: 0.022 D_fake: 0.010 
(epoch: 12, iters: 29784, time: 0.073, data: 0.007) G_GAN: 1.004 G_L1: 7.490 D_real: 0.012 D_fake: 0.011 
(epoch: 12, iters: 29884, time: 0.073, data: 0.011) G_GAN: 0.998 G_L1: 8.672 D_real: 0.010 D_fake: 0.009 
(epoch: 12, iters: 29984, time: 0.074, data: 0.006) G_GAN: 0.798 G_L1: 7.766 D_real: 0.009 D_fake: 0.181 
(epoch: 12, iters: 30084, time: 0.069, data: 0.009) G_GAN: 0.988 G_L1: 7.992 D_real: 0.011 D_fake: 0.009 
(epoch: 12, iters: 30184, time: 0.071, data: 0.010) G_GAN: 1.156 G_L1: 9.124 D_real: 0.068 D_fake: 0.074 
(epoch: 12, iters: 30284, time: 0.072, data: 0.006) G_GAN: 0.793 G_L1: 7.737 D_real: 0.011 D_fake: 0.043 
(epoch: 12, iters: 30384, time: 0.073, data: 0.009) G_GAN: 1.064 G_L1: 8.122 D_real: 0.033 D_fake: 0.103 
(epoch: 12, iters: 30484, time: 0.072, data: 0.012) G_GAN: 1.034 G_L1: 6.841 D_real: 0.018 D_fake: 0.040 
(epoch: 12, iters: 30584, time: 0.069, data: 0.006) G_GAN: 0.898 G_L1: 7.250 D_real: 0.013 D_fake: 0.060 
(epoch: 12, iters: 30684, time: 0.070, data: 0.007) G_GAN: 0.928 G_L1: 8.705 D_real: 0.056 D_fake: 0.110 
(epoch: 12, iters: 30784, time: 0.071, data: 0.008) G_GAN: 0.748 G_L1: 8.210 D_real: 0.089 D_fake: 0.012 
(epoch: 12, iters: 30884, time: 0.071, data: 0.009) G_GAN: 0.573 G_L1: 6.999 D_real: 0.107 D_fake: 0.047 
(epoch: 12, iters: 30984, time: 0.071, data: 0.007) G_GAN: 0.689 G_L1: 8.023 D_real: 0.014 D_fake: 0.123 
(epoch: 12, iters: 31084, time: 0.072, data: 0.007) G_GAN: 0.767 G_L1: 7.700 D_real: 0.035 D_fake: 0.018 
(epoch: 12, iters: 31184, time: 0.074, data: 0.005) G_GAN: 0.965 G_L1: 8.597 D_real: 0.022 D_fake: 0.015 
(epoch: 12, iters: 31284, time: 0.072, data: 0.006) G_GAN: 0.820 G_L1: 8.785 D_real: 0.010 D_fake: 0.029 
(epoch: 12, iters: 31384, time: 0.074, data: 0.013) G_GAN: 0.741 G_L1: 7.736 D_real: 0.010 D_fake: 0.021 
(epoch: 12, iters: 31484, time: 0.073, data: 0.012) G_GAN: 0.780 G_L1: 7.375 D_real: 0.030 D_fake: 0.007 
(epoch: 12, iters: 31584, time: 0.155, data: 0.011) G_GAN: 0.984 G_L1: 8.286 D_real: 0.010 D_fake: 0.062 
(epoch: 12, iters: 31684, time: 0.072, data: 0.006) G_GAN: 0.924 G_L1: 7.375 D_real: 0.012 D_fake: 0.071 
(epoch: 12, iters: 31784, time: 0.074, data: 0.009) G_GAN: 1.032 G_L1: 7.388 D_real: 0.013 D_fake: 0.128 
(epoch: 12, iters: 31884, time: 0.072, data: 0.009) G_GAN: 0.738 G_L1: 8.501 D_real: 0.029 D_fake: 0.014 
(epoch: 12, iters: 31984, time: 0.072, data: 0.011) G_GAN: 1.139 G_L1: 9.434 D_real: 0.027 D_fake: 0.016 
(epoch: 12, iters: 32084, time: 0.073, data: 0.008) G_GAN: 1.028 G_L1: 7.740 D_real: 0.117 D_fake: 0.021 
(epoch: 12, iters: 32184, time: 0.068, data: 0.006) G_GAN: 0.800 G_L1: 8.218 D_real: 0.146 D_fake: 0.017 
(epoch: 12, iters: 32284, time: 0.070, data: 0.012) G_GAN: 1.262 G_L1: 7.088 D_real: 0.483 D_fake: 0.026 
(epoch: 12, iters: 32384, time: 0.072, data: 0.018) G_GAN: 0.716 G_L1: 7.044 D_real: 0.080 D_fake: 0.008 
(epoch: 12, iters: 32484, time: 0.072, data: 0.011) G_GAN: 0.530 G_L1: 6.762 D_real: 0.218 D_fake: 0.034 
(epoch: 12, iters: 32584, time: 0.073, data: 0.006) G_GAN: 0.948 G_L1: 8.899 D_real: 0.050 D_fake: 0.009 
(epoch: 12, iters: 32684, time: 0.074, data: 0.006) G_GAN: 1.064 G_L1: 6.859 D_real: 0.014 D_fake: 0.066 
(epoch: 12, iters: 32784, time: 0.072, data: 0.007) G_GAN: 0.688 G_L1: 8.932 D_real: 0.014 D_fake: 0.099 
(epoch: 12, iters: 32884, time: 0.071, data: 0.013) G_GAN: 0.843 G_L1: 8.284 D_real: 0.013 D_fake: 0.058 
(epoch: 12, iters: 32984, time: 0.072, data: 0.009) G_GAN: 0.728 G_L1: 7.503 D_real: 0.047 D_fake: 0.049 
(epoch: 12, iters: 33084, time: 0.074, data: 0.007) G_GAN: 0.979 G_L1: 8.019 D_real: 0.011 D_fake: 0.034 
(epoch: 12, iters: 33184, time: 0.072, data: 0.007) G_GAN: 1.018 G_L1: 8.459 D_real: 0.020 D_fake: 0.025 
(epoch: 12, iters: 33284, time: 0.072, data: 0.006) G_GAN: 1.140 G_L1: 7.956 D_real: 0.010 D_fake: 0.008 
(epoch: 12, iters: 33384, time: 0.072, data: 0.005) G_GAN: 1.098 G_L1: 6.702 D_real: 0.010 D_fake: 0.036 
(epoch: 12, iters: 33484, time: 0.072, data: 0.005) G_GAN: 0.898 G_L1: 7.501 D_real: 0.009 D_fake: 0.089 
(epoch: 12, iters: 33584, time: 0.151, data: 0.005) G_GAN: 1.096 G_L1: 9.330 D_real: 0.014 D_fake: 0.030 
saving the latest model (epoch 12, total_iters 560000)
(epoch: 12, iters: 33684, time: 0.073, data: 0.006) G_GAN: 0.868 G_L1: 8.158 D_real: 0.010 D_fake: 0.019 
(epoch: 12, iters: 33784, time: 0.072, data: 0.005) G_GAN: 0.729 G_L1: 7.624 D_real: 0.055 D_fake: 0.071 
(epoch: 12, iters: 33884, time: 0.072, data: 0.010) G_GAN: 1.014 G_L1: 7.924 D_real: 0.020 D_fake: 0.100 
(epoch: 12, iters: 33984, time: 0.073, data: 0.008) G_GAN: 1.008 G_L1: 8.266 D_real: 0.014 D_fake: 0.011 
(epoch: 12, iters: 34084, time: 0.071, data: 0.008) G_GAN: 0.927 G_L1: 8.337 D_real: 0.010 D_fake: 0.203 
(epoch: 12, iters: 34184, time: 0.071, data: 0.010) G_GAN: 0.656 G_L1: 8.095 D_real: 0.015 D_fake: 0.072 
(epoch: 12, iters: 34284, time: 0.072, data: 0.006) G_GAN: 0.925 G_L1: 8.432 D_real: 0.100 D_fake: 0.053 
(epoch: 12, iters: 34384, time: 0.073, data: 0.010) G_GAN: 0.912 G_L1: 7.256 D_real: 0.072 D_fake: 0.024 
(epoch: 12, iters: 34484, time: 0.072, data: 0.011) G_GAN: 0.827 G_L1: 7.288 D_real: 0.100 D_fake: 0.359 
(epoch: 12, iters: 34584, time: 0.073, data: 0.007) G_GAN: 0.928 G_L1: 7.788 D_real: 0.022 D_fake: 0.028 
(epoch: 12, iters: 34684, time: 0.073, data: 0.009) G_GAN: 1.107 G_L1: 7.585 D_real: 0.016 D_fake: 0.059 
(epoch: 12, iters: 34784, time: 0.072, data: 0.009) G_GAN: 1.081 G_L1: 7.018 D_real: 0.025 D_fake: 0.058 
(epoch: 12, iters: 34884, time: 0.073, data: 0.007) G_GAN: 0.819 G_L1: 8.253 D_real: 0.014 D_fake: 0.010 
(epoch: 12, iters: 34984, time: 0.071, data: 0.006) G_GAN: 1.218 G_L1: 7.430 D_real: 0.015 D_fake: 0.084 
(epoch: 12, iters: 35084, time: 0.073, data: 0.006) G_GAN: 0.823 G_L1: 7.413 D_real: 0.024 D_fake: 0.010 
(epoch: 12, iters: 35184, time: 0.073, data: 0.010) G_GAN: 0.964 G_L1: 6.983 D_real: 0.023 D_fake: 0.014 
(epoch: 12, iters: 35284, time: 0.072, data: 0.006) G_GAN: 0.906 G_L1: 7.948 D_real: 0.014 D_fake: 0.016 
(epoch: 12, iters: 35384, time: 0.071, data: 0.009) G_GAN: 0.930 G_L1: 7.007 D_real: 0.056 D_fake: 0.024 
(epoch: 12, iters: 35484, time: 0.071, data: 0.007) G_GAN: 1.026 G_L1: 6.931 D_real: 0.009 D_fake: 0.009 
(epoch: 12, iters: 35584, time: 0.160, data: 0.009) G_GAN: 0.761 G_L1: 7.538 D_real: 0.048 D_fake: 0.021 
(epoch: 12, iters: 35684, time: 0.072, data: 0.007) G_GAN: 1.004 G_L1: 8.294 D_real: 0.052 D_fake: 0.029 
(epoch: 12, iters: 35784, time: 0.071, data: 0.006) G_GAN: 0.864 G_L1: 7.692 D_real: 0.014 D_fake: 0.025 
(epoch: 12, iters: 35884, time: 0.072, data: 0.006) G_GAN: 0.780 G_L1: 7.712 D_real: 0.033 D_fake: 0.017 
(epoch: 12, iters: 35984, time: 0.071, data: 0.008) G_GAN: 0.806 G_L1: 7.098 D_real: 0.042 D_fake: 0.010 
(epoch: 12, iters: 36084, time: 0.073, data: 0.007) G_GAN: 0.961 G_L1: 7.585 D_real: 0.017 D_fake: 0.036 
(epoch: 12, iters: 36184, time: 0.073, data: 0.008) G_GAN: 1.072 G_L1: 8.347 D_real: 0.021 D_fake: 0.011 
(epoch: 12, iters: 36284, time: 0.074, data: 0.010) G_GAN: 1.066 G_L1: 7.385 D_real: 0.011 D_fake: 0.048 
(epoch: 12, iters: 36384, time: 0.074, data: 0.014) G_GAN: 0.918 G_L1: 7.116 D_real: 0.012 D_fake: 0.052 
(epoch: 12, iters: 36484, time: 0.071, data: 0.009) G_GAN: 0.978 G_L1: 8.039 D_real: 0.029 D_fake: 0.126 
(epoch: 12, iters: 36584, time: 0.071, data: 0.006) G_GAN: 1.575 G_L1: 7.436 D_real: 0.056 D_fake: 0.229 
(epoch: 12, iters: 36684, time: 0.073, data: 0.008) G_GAN: 0.830 G_L1: 7.700 D_real: 0.014 D_fake: 0.077 
(epoch: 12, iters: 36784, time: 0.073, data: 0.006) G_GAN: 0.732 G_L1: 7.331 D_real: 0.127 D_fake: 0.008 
(epoch: 12, iters: 36884, time: 0.072, data: 0.007) G_GAN: 0.900 G_L1: 7.153 D_real: 0.104 D_fake: 0.013 
(epoch: 12, iters: 36984, time: 0.072, data: 0.009) G_GAN: 1.022 G_L1: 8.334 D_real: 0.015 D_fake: 0.011 
(epoch: 12, iters: 37084, time: 0.072, data: 0.006) G_GAN: 0.655 G_L1: 8.273 D_real: 0.028 D_fake: 0.017 
(epoch: 12, iters: 37184, time: 0.071, data: 0.007) G_GAN: 0.803 G_L1: 7.741 D_real: 0.118 D_fake: 0.029 
(epoch: 12, iters: 37284, time: 0.071, data: 0.007) G_GAN: 0.991 G_L1: 8.392 D_real: 0.010 D_fake: 0.015 
(epoch: 12, iters: 37384, time: 0.070, data: 0.008) G_GAN: 0.949 G_L1: 6.993 D_real: 0.017 D_fake: 0.013 
(epoch: 12, iters: 37484, time: 0.070, data: 0.007) G_GAN: 0.985 G_L1: 9.054 D_real: 0.042 D_fake: 0.069 
(epoch: 12, iters: 37584, time: 0.154, data: 0.009) G_GAN: 1.017 G_L1: 6.924 D_real: 0.035 D_fake: 0.029 
(epoch: 12, iters: 37684, time: 0.074, data: 0.006) G_GAN: 1.125 G_L1: 8.344 D_real: 0.038 D_fake: 0.056 
(epoch: 12, iters: 37784, time: 0.071, data: 0.006) G_GAN: 1.035 G_L1: 8.492 D_real: 0.012 D_fake: 0.031 
(epoch: 12, iters: 37884, time: 0.071, data: 0.007) G_GAN: 1.197 G_L1: 7.918 D_real: 0.014 D_fake: 0.040 
(epoch: 12, iters: 37984, time: 0.072, data: 0.006) G_GAN: 0.944 G_L1: 8.929 D_real: 0.023 D_fake: 0.012 
(epoch: 12, iters: 38084, time: 0.070, data: 0.010) G_GAN: 1.137 G_L1: 7.532 D_real: 0.010 D_fake: 0.039 
(epoch: 12, iters: 38184, time: 0.072, data: 0.009) G_GAN: 1.182 G_L1: 8.187 D_real: 0.020 D_fake: 0.032 
(epoch: 12, iters: 38284, time: 0.072, data: 0.008) G_GAN: 0.962 G_L1: 7.592 D_real: 0.007 D_fake: 0.007 
(epoch: 12, iters: 38384, time: 0.071, data: 0.006) G_GAN: 0.918 G_L1: 7.301 D_real: 0.009 D_fake: 0.007 
(epoch: 12, iters: 38484, time: 0.072, data: 0.007) G_GAN: 0.975 G_L1: 7.645 D_real: 0.026 D_fake: 0.018 
(epoch: 12, iters: 38584, time: 0.073, data: 0.009) G_GAN: 0.852 G_L1: 7.006 D_real: 0.011 D_fake: 0.029 
saving the latest model (epoch 12, total_iters 565000)
(epoch: 12, iters: 38684, time: 0.072, data: 0.011) G_GAN: 0.559 G_L1: 6.700 D_real: 0.101 D_fake: 0.026 
(epoch: 12, iters: 38784, time: 0.072, data: 0.006) G_GAN: 1.341 G_L1: 7.191 D_real: 0.137 D_fake: 0.343 
(epoch: 12, iters: 38884, time: 0.074, data: 0.007) G_GAN: 0.863 G_L1: 8.995 D_real: 0.137 D_fake: 0.075 
(epoch: 12, iters: 38984, time: 0.073, data: 0.006) G_GAN: 0.848 G_L1: 8.160 D_real: 0.012 D_fake: 0.038 
(epoch: 12, iters: 39084, time: 0.072, data: 0.007) G_GAN: 0.851 G_L1: 7.377 D_real: 0.080 D_fake: 0.012 
(epoch: 12, iters: 39184, time: 0.071, data: 0.007) G_GAN: 0.991 G_L1: 8.106 D_real: 0.019 D_fake: 0.009 
(epoch: 12, iters: 39284, time: 0.073, data: 0.008) G_GAN: 0.946 G_L1: 8.022 D_real: 0.046 D_fake: 0.007 
(epoch: 12, iters: 39384, time: 0.071, data: 0.008) G_GAN: 0.839 G_L1: 7.510 D_real: 0.011 D_fake: 0.020 
(epoch: 12, iters: 39484, time: 0.072, data: 0.006) G_GAN: 1.012 G_L1: 8.519 D_real: 0.019 D_fake: 0.036 
(epoch: 12, iters: 39584, time: 0.160, data: 0.010) G_GAN: 0.891 G_L1: 7.528 D_real: 0.068 D_fake: 0.087 
(epoch: 12, iters: 39684, time: 0.072, data: 0.011) G_GAN: 0.997 G_L1: 8.136 D_real: 0.011 D_fake: 0.097 
(epoch: 12, iters: 39784, time: 0.072, data: 0.006) G_GAN: 0.650 G_L1: 7.040 D_real: 0.036 D_fake: 0.013 
(epoch: 12, iters: 39884, time: 0.072, data: 0.007) G_GAN: 0.759 G_L1: 7.067 D_real: 0.043 D_fake: 0.008 
(epoch: 12, iters: 39984, time: 0.071, data: 0.009) G_GAN: 0.849 G_L1: 7.221 D_real: 0.008 D_fake: 0.008 
(epoch: 12, iters: 40084, time: 0.072, data: 0.007) G_GAN: 0.893 G_L1: 6.577 D_real: 0.009 D_fake: 0.044 
(epoch: 12, iters: 40184, time: 0.074, data: 0.010) G_GAN: 0.716 G_L1: 7.626 D_real: 0.025 D_fake: 0.010 
(epoch: 12, iters: 40284, time: 0.073, data: 0.008) G_GAN: 1.003 G_L1: 7.961 D_real: 0.010 D_fake: 0.036 
(epoch: 12, iters: 40384, time: 0.073, data: 0.006) G_GAN: 0.633 G_L1: 8.311 D_real: 0.125 D_fake: 0.031 
(epoch: 12, iters: 40484, time: 0.074, data: 0.007) G_GAN: 0.810 G_L1: 7.487 D_real: 0.067 D_fake: 0.040 
(epoch: 12, iters: 40584, time: 0.072, data: 0.007) G_GAN: 0.779 G_L1: 8.452 D_real: 0.053 D_fake: 0.010 
(epoch: 12, iters: 40684, time: 0.072, data: 0.006) G_GAN: 0.941 G_L1: 8.086 D_real: 0.012 D_fake: 0.060 
(epoch: 12, iters: 40784, time: 0.073, data: 0.006) G_GAN: 0.945 G_L1: 8.582 D_real: 0.024 D_fake: 0.014 
(epoch: 12, iters: 40884, time: 0.073, data: 0.008) G_GAN: 0.850 G_L1: 8.221 D_real: 0.306 D_fake: 0.027 
(epoch: 12, iters: 40984, time: 0.072, data: 0.012) G_GAN: 0.953 G_L1: 7.570 D_real: 0.054 D_fake: 0.027 
(epoch: 12, iters: 41084, time: 0.072, data: 0.005) G_GAN: 0.984 G_L1: 8.728 D_real: 0.083 D_fake: 0.016 
(epoch: 12, iters: 41184, time: 0.073, data: 0.011) G_GAN: 1.065 G_L1: 8.098 D_real: 0.010 D_fake: 0.010 
(epoch: 12, iters: 41284, time: 0.072, data: 0.011) G_GAN: 0.953 G_L1: 9.288 D_real: 0.011 D_fake: 0.072 
(epoch: 12, iters: 41384, time: 0.071, data: 0.013) G_GAN: 0.969 G_L1: 6.830 D_real: 0.012 D_fake: 0.079 
(epoch: 12, iters: 41484, time: 0.074, data: 0.011) G_GAN: 1.152 G_L1: 6.534 D_real: 0.165 D_fake: 0.057 
(epoch: 12, iters: 41584, time: 0.155, data: 0.007) G_GAN: 0.341 G_L1: 7.257 D_real: 0.197 D_fake: 0.011 
(epoch: 12, iters: 41684, time: 0.072, data: 0.006) G_GAN: 0.898 G_L1: 9.009 D_real: 0.018 D_fake: 0.012 
(epoch: 12, iters: 41784, time: 0.072, data: 0.008) G_GAN: 0.976 G_L1: 8.381 D_real: 0.061 D_fake: 0.006 
(epoch: 12, iters: 41884, time: 0.074, data: 0.010) G_GAN: 1.047 G_L1: 9.186 D_real: 0.013 D_fake: 0.032 
(epoch: 12, iters: 41984, time: 0.073, data: 0.009) G_GAN: 1.474 G_L1: 7.966 D_real: 0.069 D_fake: 0.306 
(epoch: 12, iters: 42084, time: 0.073, data: 0.006) G_GAN: 0.670 G_L1: 7.103 D_real: 0.080 D_fake: 0.065 
(epoch: 12, iters: 42184, time: 0.074, data: 0.006) G_GAN: 1.005 G_L1: 7.864 D_real: 0.012 D_fake: 0.008 
(epoch: 12, iters: 42284, time: 0.073, data: 0.010) G_GAN: 0.698 G_L1: 9.185 D_real: 0.121 D_fake: 0.016 
(epoch: 12, iters: 42384, time: 0.074, data: 0.007) G_GAN: 1.210 G_L1: 8.790 D_real: 0.012 D_fake: 0.071 
(epoch: 12, iters: 42484, time: 0.073, data: 0.005) G_GAN: 1.203 G_L1: 10.017 D_real: 0.015 D_fake: 0.052 
(epoch: 12, iters: 42584, time: 0.072, data: 0.010) G_GAN: 1.016 G_L1: 8.617 D_real: 0.050 D_fake: 0.038 
(epoch: 12, iters: 42684, time: 0.072, data: 0.008) G_GAN: 0.865 G_L1: 7.322 D_real: 0.028 D_fake: 0.008 
(epoch: 12, iters: 42784, time: 0.071, data: 0.010) G_GAN: 0.908 G_L1: 8.661 D_real: 0.010 D_fake: 0.111 
(epoch: 12, iters: 42884, time: 0.072, data: 0.012) G_GAN: 0.928 G_L1: 8.656 D_real: 0.010 D_fake: 0.027 
(epoch: 12, iters: 42984, time: 0.072, data: 0.009) G_GAN: 0.826 G_L1: 7.902 D_real: 0.012 D_fake: 0.010 
(epoch: 12, iters: 43084, time: 0.073, data: 0.009) G_GAN: 0.790 G_L1: 6.814 D_real: 0.053 D_fake: 0.013 
(epoch: 12, iters: 43184, time: 0.073, data: 0.007) G_GAN: 0.845 G_L1: 7.025 D_real: 0.054 D_fake: 0.027 
(epoch: 12, iters: 43284, time: 0.073, data: 0.006) G_GAN: 0.964 G_L1: 9.245 D_real: 0.025 D_fake: 0.045 
(epoch: 12, iters: 43384, time: 0.072, data: 0.008) G_GAN: 1.046 G_L1: 7.853 D_real: 0.016 D_fake: 0.007 
(epoch: 12, iters: 43484, time: 0.073, data: 0.006) G_GAN: 0.977 G_L1: 6.685 D_real: 0.014 D_fake: 0.006 
(epoch: 12, iters: 43584, time: 0.155, data: 0.006) G_GAN: 0.935 G_L1: 7.970 D_real: 0.042 D_fake: 0.026 
saving the latest model (epoch 12, total_iters 570000)
(epoch: 12, iters: 43684, time: 0.072, data: 0.006) G_GAN: 0.954 G_L1: 8.734 D_real: 0.015 D_fake: 0.009 
(epoch: 12, iters: 43784, time: 0.073, data: 0.006) G_GAN: 0.857 G_L1: 8.343 D_real: 0.013 D_fake: 0.042 
(epoch: 12, iters: 43884, time: 0.071, data: 0.007) G_GAN: 0.903 G_L1: 7.562 D_real: 0.010 D_fake: 0.021 
(epoch: 12, iters: 43984, time: 0.074, data: 0.006) G_GAN: 1.079 G_L1: 7.552 D_real: 0.103 D_fake: 0.050 
(epoch: 12, iters: 44084, time: 0.074, data: 0.011) G_GAN: 1.097 G_L1: 6.877 D_real: 0.013 D_fake: 0.015 
(epoch: 12, iters: 44184, time: 0.073, data: 0.006) G_GAN: 1.144 G_L1: 7.497 D_real: 0.038 D_fake: 0.118 
(epoch: 12, iters: 44284, time: 0.071, data: 0.007) G_GAN: 1.186 G_L1: 7.548 D_real: 0.008 D_fake: 0.189 
(epoch: 12, iters: 44384, time: 0.068, data: 0.008) G_GAN: 0.800 G_L1: 7.657 D_real: 0.029 D_fake: 0.067 
(epoch: 12, iters: 44484, time: 0.070, data: 0.007) G_GAN: 0.969 G_L1: 8.921 D_real: 0.057 D_fake: 0.046 
(epoch: 12, iters: 44584, time: 0.070, data: 0.013) G_GAN: 0.751 G_L1: 8.405 D_real: 0.025 D_fake: 0.010 
(epoch: 12, iters: 44684, time: 0.072, data: 0.007) G_GAN: 1.026 G_L1: 7.552 D_real: 0.017 D_fake: 0.012 
(epoch: 12, iters: 44784, time: 0.072, data: 0.007) G_GAN: 0.888 G_L1: 7.265 D_real: 0.058 D_fake: 0.027 
(epoch: 12, iters: 44884, time: 0.074, data: 0.009) G_GAN: 0.974 G_L1: 7.299 D_real: 0.016 D_fake: 0.009 
(epoch: 12, iters: 44984, time: 0.073, data: 0.006) G_GAN: 0.846 G_L1: 7.681 D_real: 0.101 D_fake: 0.006 
(epoch: 12, iters: 45084, time: 0.070, data: 0.006) G_GAN: 0.964 G_L1: 6.998 D_real: 0.012 D_fake: 0.008 
(epoch: 12, iters: 45184, time: 0.071, data: 0.011) G_GAN: 0.630 G_L1: 7.374 D_real: 0.232 D_fake: 0.016 
(epoch: 12, iters: 45284, time: 0.071, data: 0.010) G_GAN: 1.070 G_L1: 8.637 D_real: 0.016 D_fake: 0.017 
(epoch: 12, iters: 45384, time: 0.071, data: 0.007) G_GAN: 0.595 G_L1: 6.774 D_real: 0.140 D_fake: 0.011 
(epoch: 12, iters: 45484, time: 0.072, data: 0.005) G_GAN: 1.043 G_L1: 8.363 D_real: 0.010 D_fake: 0.227 
(epoch: 12, iters: 45584, time: 0.155, data: 0.005) G_GAN: 0.802 G_L1: 6.935 D_real: 0.029 D_fake: 0.024 
(epoch: 12, iters: 45684, time: 0.072, data: 0.007) G_GAN: 1.001 G_L1: 8.612 D_real: 0.015 D_fake: 0.009 
(epoch: 12, iters: 45784, time: 0.073, data: 0.007) G_GAN: 0.734 G_L1: 8.081 D_real: 0.060 D_fake: 0.018 
(epoch: 12, iters: 45884, time: 0.074, data: 0.009) G_GAN: 1.703 G_L1: 7.237 D_real: 0.033 D_fake: 0.144 
(epoch: 12, iters: 45984, time: 0.072, data: 0.011) G_GAN: 1.028 G_L1: 8.447 D_real: 0.084 D_fake: 0.050 
(epoch: 12, iters: 46084, time: 0.073, data: 0.008) G_GAN: 1.007 G_L1: 8.156 D_real: 0.052 D_fake: 0.074 
(epoch: 12, iters: 46184, time: 0.073, data: 0.005) G_GAN: 0.919 G_L1: 7.703 D_real: 0.014 D_fake: 0.014 
(epoch: 12, iters: 46284, time: 0.074, data: 0.010) G_GAN: 1.527 G_L1: 7.446 D_real: 0.055 D_fake: 0.148 
(epoch: 12, iters: 46384, time: 0.074, data: 0.008) G_GAN: 0.777 G_L1: 7.847 D_real: 0.040 D_fake: 0.015 
(epoch: 12, iters: 46484, time: 0.074, data: 0.008) G_GAN: 0.892 G_L1: 7.165 D_real: 0.013 D_fake: 0.020 
(epoch: 12, iters: 46584, time: 0.073, data: 0.008) G_GAN: 0.753 G_L1: 7.282 D_real: 0.086 D_fake: 0.035 
(epoch: 12, iters: 46684, time: 0.072, data: 0.006) G_GAN: 0.777 G_L1: 6.492 D_real: 0.078 D_fake: 0.007 
(epoch: 12, iters: 46784, time: 0.071, data: 0.006) G_GAN: 1.138 G_L1: 8.733 D_real: 0.031 D_fake: 0.041 
(epoch: 12, iters: 46884, time: 0.072, data: 0.007) G_GAN: 1.133 G_L1: 8.596 D_real: 0.039 D_fake: 0.018 
(epoch: 12, iters: 46984, time: 0.071, data: 0.006) G_GAN: 0.946 G_L1: 7.387 D_real: 0.011 D_fake: 0.011 
(epoch: 12, iters: 47084, time: 0.074, data: 0.007) G_GAN: 0.887 G_L1: 7.558 D_real: 0.027 D_fake: 0.108 
(epoch: 12, iters: 47184, time: 0.070, data: 0.010) G_GAN: 0.980 G_L1: 7.573 D_real: 0.035 D_fake: 0.007 
(epoch: 12, iters: 47284, time: 0.072, data: 0.006) G_GAN: 1.066 G_L1: 9.033 D_real: 0.048 D_fake: 0.033 
(epoch: 12, iters: 47384, time: 0.073, data: 0.011) G_GAN: 1.020 G_L1: 7.382 D_real: 0.011 D_fake: 0.064 
(epoch: 12, iters: 47484, time: 0.074, data: 0.006) G_GAN: 0.910 G_L1: 7.969 D_real: 0.008 D_fake: 0.006 
(epoch: 12, iters: 47584, time: 0.154, data: 0.005) G_GAN: 1.038 G_L1: 8.391 D_real: 0.012 D_fake: 0.051 
(epoch: 12, iters: 47684, time: 0.072, data: 0.010) G_GAN: 0.985 G_L1: 8.303 D_real: 0.027 D_fake: 0.006 
(epoch: 12, iters: 47784, time: 0.072, data: 0.006) G_GAN: 1.008 G_L1: 8.852 D_real: 0.010 D_fake: 0.095 
saving the model at the end of epoch 12, iters 574272
End of epoch 12 / 20 	 Time Taken: 1975 sec
learning rate 0.0002000 -> 0.0002000
(epoch: 13, iters: 28, time: 0.072, data: 0.010) G_GAN: 1.193 G_L1: 8.302 D_real: 0.134 D_fake: 0.136 
(epoch: 13, iters: 128, time: 0.161, data: 0.020) G_GAN: 0.931 G_L1: 7.706 D_real: 0.021 D_fake: 0.015 
(epoch: 13, iters: 228, time: 0.068, data: 0.011) G_GAN: 1.140 G_L1: 8.073 D_real: 0.015 D_fake: 0.027 
(epoch: 13, iters: 328, time: 0.071, data: 0.008) G_GAN: 0.864 G_L1: 9.273 D_real: 0.013 D_fake: 0.011 
(epoch: 13, iters: 428, time: 0.069, data: 0.015) G_GAN: 0.913 G_L1: 7.697 D_real: 0.035 D_fake: 0.009 
(epoch: 13, iters: 528, time: 0.067, data: 0.011) G_GAN: 1.037 G_L1: 8.032 D_real: 0.037 D_fake: 0.021 
(epoch: 13, iters: 628, time: 0.070, data: 0.006) G_GAN: 1.108 G_L1: 6.550 D_real: 0.009 D_fake: 0.048 
(epoch: 13, iters: 728, time: 0.071, data: 0.008) G_GAN: 0.985 G_L1: 7.508 D_real: 0.019 D_fake: 0.015 
saving the latest model (epoch 13, total_iters 575000)
(epoch: 13, iters: 828, time: 0.070, data: 0.010) G_GAN: 1.056 G_L1: 7.682 D_real: 0.013 D_fake: 0.007 
(epoch: 13, iters: 928, time: 0.066, data: 0.008) G_GAN: 0.987 G_L1: 8.434 D_real: 0.018 D_fake: 0.018 
(epoch: 13, iters: 1028, time: 0.071, data: 0.006) G_GAN: 0.902 G_L1: 8.774 D_real: 0.019 D_fake: 0.017 
(epoch: 13, iters: 1128, time: 0.070, data: 0.008) G_GAN: 0.822 G_L1: 7.603 D_real: 0.013 D_fake: 0.081 
(epoch: 13, iters: 1228, time: 0.071, data: 0.009) G_GAN: 0.856 G_L1: 8.066 D_real: 0.028 D_fake: 0.008 
(epoch: 13, iters: 1328, time: 0.071, data: 0.011) G_GAN: 0.876 G_L1: 7.716 D_real: 0.171 D_fake: 0.030 
(epoch: 13, iters: 1428, time: 0.071, data: 0.006) G_GAN: 1.051 G_L1: 7.637 D_real: 0.012 D_fake: 0.096 
(epoch: 13, iters: 1528, time: 0.073, data: 0.006) G_GAN: 1.199 G_L1: 8.170 D_real: 0.007 D_fake: 0.019 
(epoch: 13, iters: 1628, time: 0.070, data: 0.007) G_GAN: 0.971 G_L1: 8.443 D_real: 0.022 D_fake: 0.164 
(epoch: 13, iters: 1728, time: 0.153, data: 0.007) G_GAN: 1.158 G_L1: 8.710 D_real: 0.023 D_fake: 0.050 
(epoch: 13, iters: 1828, time: 0.071, data: 0.006) G_GAN: 1.008 G_L1: 8.940 D_real: 0.009 D_fake: 0.015 
(epoch: 13, iters: 1928, time: 0.072, data: 0.011) G_GAN: 0.980 G_L1: 8.421 D_real: 0.045 D_fake: 0.031 
(epoch: 13, iters: 2028, time: 0.071, data: 0.008) G_GAN: 0.974 G_L1: 6.962 D_real: 0.053 D_fake: 0.113 
(epoch: 13, iters: 2128, time: 0.068, data: 0.007) G_GAN: 1.070 G_L1: 9.054 D_real: 0.013 D_fake: 0.016 
(epoch: 13, iters: 2228, time: 0.070, data: 0.015) G_GAN: 0.863 G_L1: 7.820 D_real: 0.100 D_fake: 0.026 
(epoch: 13, iters: 2328, time: 0.072, data: 0.007) G_GAN: 0.932 G_L1: 8.915 D_real: 0.029 D_fake: 0.008 
(epoch: 13, iters: 2428, time: 0.070, data: 0.006) G_GAN: 0.834 G_L1: 7.125 D_real: 0.049 D_fake: 0.013 
(epoch: 13, iters: 2528, time: 0.069, data: 0.008) G_GAN: 1.165 G_L1: 7.672 D_real: 0.051 D_fake: 0.045 
(epoch: 13, iters: 2628, time: 0.071, data: 0.008) G_GAN: 0.948 G_L1: 7.440 D_real: 0.011 D_fake: 0.125 
(epoch: 13, iters: 2728, time: 0.070, data: 0.007) G_GAN: 1.008 G_L1: 6.697 D_real: 0.007 D_fake: 0.012 
(epoch: 13, iters: 2828, time: 0.068, data: 0.006) G_GAN: 0.937 G_L1: 8.014 D_real: 0.012 D_fake: 0.006 
(epoch: 13, iters: 2928, time: 0.071, data: 0.009) G_GAN: 0.951 G_L1: 8.743 D_real: 0.012 D_fake: 0.079 
(epoch: 13, iters: 3028, time: 0.072, data: 0.011) G_GAN: 1.154 G_L1: 8.013 D_real: 0.010 D_fake: 0.010 
(epoch: 13, iters: 3128, time: 0.071, data: 0.009) G_GAN: 1.137 G_L1: 7.926 D_real: 0.008 D_fake: 0.191 
(epoch: 13, iters: 3228, time: 0.072, data: 0.007) G_GAN: 1.016 G_L1: 7.556 D_real: 0.009 D_fake: 0.010 
(epoch: 13, iters: 3328, time: 0.070, data: 0.009) G_GAN: 0.827 G_L1: 7.374 D_real: 0.010 D_fake: 0.007 
(epoch: 13, iters: 3428, time: 0.072, data: 0.007) G_GAN: 1.066 G_L1: 7.942 D_real: 0.025 D_fake: 0.013 
(epoch: 13, iters: 3528, time: 0.070, data: 0.007) G_GAN: 0.983 G_L1: 8.153 D_real: 0.008 D_fake: 0.035 
(epoch: 13, iters: 3628, time: 0.070, data: 0.007) G_GAN: 0.940 G_L1: 7.737 D_real: 0.066 D_fake: 0.034 
(epoch: 13, iters: 3728, time: 0.155, data: 0.008) G_GAN: 0.784 G_L1: 7.320 D_real: 0.071 D_fake: 0.027 
(epoch: 13, iters: 3828, time: 0.069, data: 0.009) G_GAN: 1.127 G_L1: 8.417 D_real: 0.022 D_fake: 0.023 
(epoch: 13, iters: 3928, time: 0.071, data: 0.010) G_GAN: 1.053 G_L1: 7.139 D_real: 0.013 D_fake: 0.009 
(epoch: 13, iters: 4028, time: 0.070, data: 0.009) G_GAN: 0.934 G_L1: 7.543 D_real: 0.012 D_fake: 0.008 
(epoch: 13, iters: 4128, time: 0.071, data: 0.009) G_GAN: 0.943 G_L1: 8.873 D_real: 0.038 D_fake: 0.013 
(epoch: 13, iters: 4228, time: 0.071, data: 0.006) G_GAN: 0.835 G_L1: 7.413 D_real: 1.818 D_fake: 0.925 
(epoch: 13, iters: 4328, time: 0.070, data: 0.006) G_GAN: 0.326 G_L1: 7.011 D_real: 0.132 D_fake: 0.259 
(epoch: 13, iters: 4428, time: 0.069, data: 0.011) G_GAN: 0.520 G_L1: 7.407 D_real: 0.263 D_fake: 0.091 
(epoch: 13, iters: 4528, time: 0.071, data: 0.008) G_GAN: 0.481 G_L1: 6.681 D_real: 0.097 D_fake: 0.166 
(epoch: 13, iters: 4628, time: 0.072, data: 0.008) G_GAN: 0.467 G_L1: 6.826 D_real: 0.116 D_fake: 0.108 
(epoch: 13, iters: 4728, time: 0.070, data: 0.008) G_GAN: 0.466 G_L1: 6.966 D_real: 0.190 D_fake: 0.088 
(epoch: 13, iters: 4828, time: 0.072, data: 0.007) G_GAN: 0.547 G_L1: 7.816 D_real: 0.167 D_fake: 0.096 
(epoch: 13, iters: 4928, time: 0.069, data: 0.007) G_GAN: 0.386 G_L1: 6.986 D_real: 0.124 D_fake: 0.166 
(epoch: 13, iters: 5028, time: 0.070, data: 0.007) G_GAN: 0.224 G_L1: 6.557 D_real: 0.301 D_fake: 0.056 
(epoch: 13, iters: 5128, time: 0.073, data: 0.006) G_GAN: 0.368 G_L1: 7.165 D_real: 0.058 D_fake: 0.421 
(epoch: 13, iters: 5228, time: 0.072, data: 0.012) G_GAN: 0.567 G_L1: 6.558 D_real: 0.063 D_fake: 0.210 
(epoch: 13, iters: 5328, time: 0.071, data: 0.010) G_GAN: 0.358 G_L1: 7.070 D_real: 0.078 D_fake: 0.139 
(epoch: 13, iters: 5428, time: 0.069, data: 0.007) G_GAN: 0.684 G_L1: 7.495 D_real: 0.019 D_fake: 0.438 
(epoch: 13, iters: 5528, time: 0.067, data: 0.008) G_GAN: 0.346 G_L1: 6.890 D_real: 0.225 D_fake: 0.041 
(epoch: 13, iters: 5628, time: 0.071, data: 0.016) G_GAN: 0.618 G_L1: 7.415 D_real: 0.139 D_fake: 0.229 
(epoch: 13, iters: 5728, time: 0.147, data: 0.008) G_GAN: 0.773 G_L1: 7.741 D_real: 0.050 D_fake: 0.247 
saving the latest model (epoch 13, total_iters 580000)
(epoch: 13, iters: 5828, time: 0.071, data: 0.010) G_GAN: 0.712 G_L1: 8.230 D_real: 0.024 D_fake: 0.256 
(epoch: 13, iters: 5928, time: 0.069, data: 0.008) G_GAN: 0.446 G_L1: 7.451 D_real: 0.440 D_fake: 0.038 
(epoch: 13, iters: 6028, time: 0.068, data: 0.009) G_GAN: 0.461 G_L1: 7.838 D_real: 0.147 D_fake: 0.186 
(epoch: 13, iters: 6128, time: 0.067, data: 0.009) G_GAN: 0.422 G_L1: 8.221 D_real: 0.110 D_fake: 0.098 
(epoch: 13, iters: 6228, time: 0.072, data: 0.008) G_GAN: 0.584 G_L1: 6.396 D_real: 0.023 D_fake: 0.481 
(epoch: 13, iters: 6328, time: 0.071, data: 0.006) G_GAN: 0.831 G_L1: 7.116 D_real: 0.028 D_fake: 0.535 
(epoch: 13, iters: 6428, time: 0.071, data: 0.009) G_GAN: 0.760 G_L1: 8.236 D_real: 0.264 D_fake: 0.149 
(epoch: 13, iters: 6528, time: 0.068, data: 0.006) G_GAN: 0.577 G_L1: 7.949 D_real: 0.106 D_fake: 0.091 
(epoch: 13, iters: 6628, time: 0.071, data: 0.005) G_GAN: 0.539 G_L1: 7.033 D_real: 0.206 D_fake: 0.184 
(epoch: 13, iters: 6728, time: 0.071, data: 0.011) G_GAN: 0.537 G_L1: 7.981 D_real: 0.017 D_fake: 0.296 
(epoch: 13, iters: 6828, time: 0.071, data: 0.006) G_GAN: 0.613 G_L1: 8.905 D_real: 0.103 D_fake: 0.017 
(epoch: 13, iters: 6928, time: 0.072, data: 0.008) G_GAN: 0.836 G_L1: 8.400 D_real: 0.015 D_fake: 0.059 
(epoch: 13, iters: 7028, time: 0.067, data: 0.006) G_GAN: 0.939 G_L1: 7.879 D_real: 0.015 D_fake: 0.171 
(epoch: 13, iters: 7128, time: 0.072, data: 0.006) G_GAN: 0.996 G_L1: 7.548 D_real: 0.029 D_fake: 0.009 
(epoch: 13, iters: 7228, time: 0.071, data: 0.007) G_GAN: 0.837 G_L1: 6.913 D_real: 0.016 D_fake: 0.192 
(epoch: 13, iters: 7328, time: 0.072, data: 0.009) G_GAN: 0.869 G_L1: 9.109 D_real: 0.017 D_fake: 0.042 
(epoch: 13, iters: 7428, time: 0.071, data: 0.012) G_GAN: 0.745 G_L1: 7.657 D_real: 0.036 D_fake: 0.058 
(epoch: 13, iters: 7528, time: 0.067, data: 0.006) G_GAN: 0.964 G_L1: 8.124 D_real: 0.036 D_fake: 0.024 
(epoch: 13, iters: 7628, time: 0.068, data: 0.007) G_GAN: 0.968 G_L1: 8.540 D_real: 0.017 D_fake: 0.034 
(epoch: 13, iters: 7728, time: 0.160, data: 0.009) G_GAN: 0.861 G_L1: 8.413 D_real: 0.009 D_fake: 0.175 
(epoch: 13, iters: 7828, time: 0.070, data: 0.006) G_GAN: 0.829 G_L1: 8.417 D_real: 0.070 D_fake: 0.021 
(epoch: 13, iters: 7928, time: 0.068, data: 0.007) G_GAN: 0.770 G_L1: 8.413 D_real: 0.010 D_fake: 0.099 
(epoch: 13, iters: 8028, time: 0.071, data: 0.011) G_GAN: 1.103 G_L1: 8.459 D_real: 0.023 D_fake: 0.054 
(epoch: 13, iters: 8128, time: 0.071, data: 0.017) G_GAN: 0.941 G_L1: 7.064 D_real: 0.009 D_fake: 0.023 
(epoch: 13, iters: 8228, time: 0.072, data: 0.011) G_GAN: 0.681 G_L1: 7.857 D_real: 0.086 D_fake: 0.030 
(epoch: 13, iters: 8328, time: 0.071, data: 0.006) G_GAN: 0.863 G_L1: 7.755 D_real: 0.012 D_fake: 0.201 
(epoch: 13, iters: 8428, time: 0.071, data: 0.007) G_GAN: 0.877 G_L1: 8.173 D_real: 0.015 D_fake: 0.076 
(epoch: 13, iters: 8528, time: 0.071, data: 0.006) G_GAN: 1.016 G_L1: 9.102 D_real: 0.008 D_fake: 0.006 
(epoch: 13, iters: 8628, time: 0.073, data: 0.007) G_GAN: 0.907 G_L1: 7.903 D_real: 0.027 D_fake: 0.006 
(epoch: 13, iters: 8728, time: 0.072, data: 0.006) G_GAN: 0.558 G_L1: 7.278 D_real: 0.088 D_fake: 0.108 
(epoch: 13, iters: 8828, time: 0.073, data: 0.010) G_GAN: 1.269 G_L1: 9.918 D_real: 0.067 D_fake: 0.111 
(epoch: 13, iters: 8928, time: 0.073, data: 0.007) G_GAN: 1.046 G_L1: 8.882 D_real: 0.016 D_fake: 0.035 
(epoch: 13, iters: 9028, time: 0.074, data: 0.009) G_GAN: 0.819 G_L1: 7.742 D_real: 0.015 D_fake: 0.039 
(epoch: 13, iters: 9128, time: 0.071, data: 0.009) G_GAN: 0.656 G_L1: 7.255 D_real: 0.164 D_fake: 0.007 
(epoch: 13, iters: 9228, time: 0.072, data: 0.005) G_GAN: 1.091 G_L1: 8.003 D_real: 0.059 D_fake: 0.032 
(epoch: 13, iters: 9328, time: 0.073, data: 0.013) G_GAN: 0.688 G_L1: 8.156 D_real: 0.024 D_fake: 0.230 
(epoch: 13, iters: 9428, time: 0.072, data: 0.010) G_GAN: 0.704 G_L1: 7.037 D_real: 0.024 D_fake: 0.079 
(epoch: 13, iters: 9528, time: 0.074, data: 0.006) G_GAN: 1.177 G_L1: 8.483 D_real: 0.086 D_fake: 0.019 
(epoch: 13, iters: 9628, time: 0.072, data: 0.007) G_GAN: 0.920 G_L1: 6.949 D_real: 0.037 D_fake: 0.010 
(epoch: 13, iters: 9728, time: 0.155, data: 0.007) G_GAN: 0.677 G_L1: 7.602 D_real: 0.120 D_fake: 0.010 
(epoch: 13, iters: 9828, time: 0.072, data: 0.006) G_GAN: 0.756 G_L1: 7.411 D_real: 0.044 D_fake: 0.025 
(epoch: 13, iters: 9928, time: 0.074, data: 0.011) G_GAN: 0.986 G_L1: 8.398 D_real: 0.010 D_fake: 0.008 
(epoch: 13, iters: 10028, time: 0.072, data: 0.006) G_GAN: 0.861 G_L1: 7.255 D_real: 0.007 D_fake: 0.096 
(epoch: 13, iters: 10128, time: 0.073, data: 0.010) G_GAN: 0.528 G_L1: 7.564 D_real: 0.185 D_fake: 0.009 
(epoch: 13, iters: 10228, time: 0.073, data: 0.007) G_GAN: 0.955 G_L1: 8.243 D_real: 0.075 D_fake: 0.012 
(epoch: 13, iters: 10328, time: 0.073, data: 0.007) G_GAN: 1.162 G_L1: 9.420 D_real: 0.006 D_fake: 0.011 
(epoch: 13, iters: 10428, time: 0.073, data: 0.011) G_GAN: 0.885 G_L1: 8.391 D_real: 0.026 D_fake: 0.108 
(epoch: 13, iters: 10528, time: 0.073, data: 0.008) G_GAN: 1.036 G_L1: 8.785 D_real: 0.008 D_fake: 0.007 
(epoch: 13, iters: 10628, time: 0.072, data: 0.008) G_GAN: 0.813 G_L1: 7.042 D_real: 0.020 D_fake: 0.108 
(epoch: 13, iters: 10728, time: 0.072, data: 0.008) G_GAN: 0.577 G_L1: 8.002 D_real: 0.012 D_fake: 0.036 
saving the latest model (epoch 13, total_iters 585000)
(epoch: 13, iters: 10828, time: 0.071, data: 0.007) G_GAN: 1.134 G_L1: 7.022 D_real: 0.027 D_fake: 0.139 
(epoch: 13, iters: 10928, time: 0.073, data: 0.007) G_GAN: 0.880 G_L1: 7.926 D_real: 0.049 D_fake: 0.012 
(epoch: 13, iters: 11028, time: 0.072, data: 0.010) G_GAN: 0.857 G_L1: 8.302 D_real: 0.009 D_fake: 0.051 
(epoch: 13, iters: 11128, time: 0.072, data: 0.006) G_GAN: 0.770 G_L1: 6.607 D_real: 0.082 D_fake: 0.015 
(epoch: 13, iters: 11228, time: 0.073, data: 0.008) G_GAN: 0.979 G_L1: 8.956 D_real: 0.008 D_fake: 0.008 
(epoch: 13, iters: 11328, time: 0.073, data: 0.010) G_GAN: 0.817 G_L1: 7.881 D_real: 0.028 D_fake: 0.154 
(epoch: 13, iters: 11428, time: 0.072, data: 0.006) G_GAN: 0.960 G_L1: 8.458 D_real: 0.010 D_fake: 0.022 
(epoch: 13, iters: 11528, time: 0.074, data: 0.007) G_GAN: 0.706 G_L1: 7.936 D_real: 0.070 D_fake: 0.006 
(epoch: 13, iters: 11628, time: 0.073, data: 0.011) G_GAN: 0.974 G_L1: 8.525 D_real: 0.238 D_fake: 0.039 
(epoch: 13, iters: 11728, time: 0.157, data: 0.007) G_GAN: 0.795 G_L1: 8.939 D_real: 0.128 D_fake: 0.016 
(epoch: 13, iters: 11828, time: 0.074, data: 0.006) G_GAN: 1.112 G_L1: 8.674 D_real: 0.025 D_fake: 0.011 
(epoch: 13, iters: 11928, time: 0.072, data: 0.007) G_GAN: 0.952 G_L1: 6.863 D_real: 0.008 D_fake: 0.007 
(epoch: 13, iters: 12028, time: 0.073, data: 0.008) G_GAN: 0.965 G_L1: 8.621 D_real: 0.039 D_fake: 0.012 
(epoch: 13, iters: 12128, time: 0.074, data: 0.006) G_GAN: 0.780 G_L1: 8.103 D_real: 0.011 D_fake: 0.024 
(epoch: 13, iters: 12228, time: 0.074, data: 0.010) G_GAN: 0.782 G_L1: 8.085 D_real: 0.017 D_fake: 0.009 
(epoch: 13, iters: 12328, time: 0.072, data: 0.010) G_GAN: 0.764 G_L1: 8.260 D_real: 0.009 D_fake: 0.073 
(epoch: 13, iters: 12428, time: 0.071, data: 0.007) G_GAN: 0.621 G_L1: 7.532 D_real: 0.106 D_fake: 0.009 
(epoch: 13, iters: 12528, time: 0.072, data: 0.005) G_GAN: 1.075 G_L1: 8.710 D_real: 0.010 D_fake: 0.013 
(epoch: 13, iters: 12628, time: 0.073, data: 0.007) G_GAN: 0.826 G_L1: 7.214 D_real: 0.062 D_fake: 0.008 
(epoch: 13, iters: 12728, time: 0.070, data: 0.007) G_GAN: 0.910 G_L1: 7.800 D_real: 0.016 D_fake: 0.006 
(epoch: 13, iters: 12828, time: 0.073, data: 0.008) G_GAN: 0.927 G_L1: 7.788 D_real: 0.015 D_fake: 0.013 
(epoch: 13, iters: 12928, time: 0.074, data: 0.007) G_GAN: 0.933 G_L1: 7.398 D_real: 0.007 D_fake: 0.020 
(epoch: 13, iters: 13028, time: 0.073, data: 0.011) G_GAN: 1.049 G_L1: 7.044 D_real: 0.008 D_fake: 0.008 
(epoch: 13, iters: 13128, time: 0.072, data: 0.006) G_GAN: 0.968 G_L1: 6.469 D_real: 0.099 D_fake: 0.050 
(epoch: 13, iters: 13228, time: 0.072, data: 0.006) G_GAN: 0.886 G_L1: 7.442 D_real: 0.011 D_fake: 0.142 
(epoch: 13, iters: 13328, time: 0.072, data: 0.009) G_GAN: 0.943 G_L1: 7.729 D_real: 0.161 D_fake: 0.015 
(epoch: 13, iters: 13428, time: 0.073, data: 0.009) G_GAN: 0.693 G_L1: 7.448 D_real: 0.026 D_fake: 0.063 
(epoch: 13, iters: 13528, time: 0.072, data: 0.008) G_GAN: 0.884 G_L1: 6.927 D_real: 0.017 D_fake: 0.026 
(epoch: 13, iters: 13628, time: 0.073, data: 0.006) G_GAN: 0.829 G_L1: 7.943 D_real: 0.039 D_fake: 0.010 
(epoch: 13, iters: 13728, time: 0.154, data: 0.006) G_GAN: 1.099 G_L1: 8.208 D_real: 0.009 D_fake: 0.006 
(epoch: 13, iters: 13828, time: 0.071, data: 0.009) G_GAN: 1.027 G_L1: 7.422 D_real: 0.014 D_fake: 0.006 
(epoch: 13, iters: 13928, time: 0.072, data: 0.009) G_GAN: 0.892 G_L1: 8.645 D_real: 0.040 D_fake: 0.023 
(epoch: 13, iters: 14028, time: 0.073, data: 0.006) G_GAN: 0.844 G_L1: 8.186 D_real: 0.018 D_fake: 0.074 
(epoch: 13, iters: 14128, time: 0.072, data: 0.008) G_GAN: 0.961 G_L1: 9.088 D_real: 0.015 D_fake: 0.015 
(epoch: 13, iters: 14228, time: 0.074, data: 0.006) G_GAN: 0.709 G_L1: 7.677 D_real: 0.318 D_fake: 0.037 
(epoch: 13, iters: 14328, time: 0.074, data: 0.006) G_GAN: 0.963 G_L1: 7.792 D_real: 0.010 D_fake: 0.022 
(epoch: 13, iters: 14428, time: 0.073, data: 0.011) G_GAN: 1.019 G_L1: 7.431 D_real: 0.011 D_fake: 0.006 
(epoch: 13, iters: 14528, time: 0.073, data: 0.006) G_GAN: 0.684 G_L1: 6.915 D_real: 0.013 D_fake: 0.010 
(epoch: 13, iters: 14628, time: 0.073, data: 0.008) G_GAN: 1.062 G_L1: 9.250 D_real: 0.020 D_fake: 0.008 
(epoch: 13, iters: 14728, time: 0.073, data: 0.006) G_GAN: 0.968 G_L1: 10.072 D_real: 0.019 D_fake: 0.021 
(epoch: 13, iters: 14828, time: 0.073, data: 0.010) G_GAN: 0.945 G_L1: 6.087 D_real: 0.012 D_fake: 0.010 
(epoch: 13, iters: 14928, time: 0.071, data: 0.007) G_GAN: 1.117 G_L1: 8.154 D_real: 0.035 D_fake: 0.120 
(epoch: 13, iters: 15028, time: 0.073, data: 0.016) G_GAN: 1.041 G_L1: 7.303 D_real: 0.018 D_fake: 0.036 
(epoch: 13, iters: 15128, time: 0.072, data: 0.006) G_GAN: 0.866 G_L1: 6.812 D_real: 0.061 D_fake: 0.036 
(epoch: 13, iters: 15228, time: 0.071, data: 0.007) G_GAN: 0.899 G_L1: 8.681 D_real: 0.010 D_fake: 0.015 
(epoch: 13, iters: 15328, time: 0.072, data: 0.012) G_GAN: 0.719 G_L1: 7.651 D_real: 0.008 D_fake: 0.009 
(epoch: 13, iters: 15428, time: 0.073, data: 0.006) G_GAN: 0.848 G_L1: 9.008 D_real: 0.026 D_fake: 0.149 
(epoch: 13, iters: 15528, time: 0.074, data: 0.011) G_GAN: 1.132 G_L1: 7.551 D_real: 0.013 D_fake: 0.014 
(epoch: 13, iters: 15628, time: 0.075, data: 0.005) G_GAN: 0.966 G_L1: 8.995 D_real: 0.014 D_fake: 0.039 
(epoch: 13, iters: 15728, time: 0.152, data: 0.005) G_GAN: 0.909 G_L1: 8.467 D_real: 0.008 D_fake: 0.021 
saving the latest model (epoch 13, total_iters 590000)
(epoch: 13, iters: 15828, time: 0.072, data: 0.006) G_GAN: 1.125 G_L1: 7.849 D_real: 0.011 D_fake: 0.006 
(epoch: 13, iters: 15928, time: 0.072, data: 0.006) G_GAN: 0.913 G_L1: 8.786 D_real: 0.032 D_fake: 0.012 
(epoch: 13, iters: 16028, time: 0.073, data: 0.006) G_GAN: 0.450 G_L1: 7.539 D_real: 0.294 D_fake: 0.026 
(epoch: 13, iters: 16128, time: 0.072, data: 0.009) G_GAN: 0.821 G_L1: 7.185 D_real: 0.022 D_fake: 0.014 
(epoch: 13, iters: 16228, time: 0.071, data: 0.008) G_GAN: 0.916 G_L1: 7.866 D_real: 0.013 D_fake: 0.015 
(epoch: 13, iters: 16328, time: 0.071, data: 0.006) G_GAN: 0.881 G_L1: 7.239 D_real: 0.029 D_fake: 0.080 
(epoch: 13, iters: 16428, time: 0.071, data: 0.007) G_GAN: 1.083 G_L1: 8.465 D_real: 0.014 D_fake: 0.010 
(epoch: 13, iters: 16528, time: 0.072, data: 0.007) G_GAN: 0.863 G_L1: 8.055 D_real: 0.039 D_fake: 0.017 
(epoch: 13, iters: 16628, time: 0.072, data: 0.006) G_GAN: 1.109 G_L1: 8.749 D_real: 0.008 D_fake: 0.072 
(epoch: 13, iters: 16728, time: 0.072, data: 0.007) G_GAN: 1.171 G_L1: 8.174 D_real: 0.038 D_fake: 0.037 
(epoch: 13, iters: 16828, time: 0.072, data: 0.007) G_GAN: 1.041 G_L1: 8.034 D_real: 0.017 D_fake: 0.008 
(epoch: 13, iters: 16928, time: 0.073, data: 0.008) G_GAN: 0.931 G_L1: 7.928 D_real: 0.044 D_fake: 0.006 
(epoch: 13, iters: 17028, time: 0.075, data: 0.006) G_GAN: 0.816 G_L1: 8.365 D_real: 0.038 D_fake: 0.007 
(epoch: 13, iters: 17128, time: 0.074, data: 0.010) G_GAN: 0.988 G_L1: 6.964 D_real: 0.010 D_fake: 0.010 
(epoch: 13, iters: 17228, time: 0.074, data: 0.008) G_GAN: 0.847 G_L1: 7.750 D_real: 0.044 D_fake: 0.032 
(epoch: 13, iters: 17328, time: 0.072, data: 0.006) G_GAN: 0.723 G_L1: 7.500 D_real: 0.026 D_fake: 0.288 
(epoch: 13, iters: 17428, time: 0.073, data: 0.006) G_GAN: 0.787 G_L1: 7.601 D_real: 0.036 D_fake: 0.038 
(epoch: 13, iters: 17528, time: 0.074, data: 0.007) G_GAN: 0.961 G_L1: 7.749 D_real: 0.041 D_fake: 0.027 
(epoch: 13, iters: 17628, time: 0.074, data: 0.007) G_GAN: 0.902 G_L1: 6.722 D_real: 0.009 D_fake: 0.108 
(epoch: 13, iters: 17728, time: 0.158, data: 0.006) G_GAN: 0.869 G_L1: 9.099 D_real: 0.035 D_fake: 0.094 
(epoch: 13, iters: 17828, time: 0.072, data: 0.006) G_GAN: 0.976 G_L1: 8.208 D_real: 0.041 D_fake: 0.006 
(epoch: 13, iters: 17928, time: 0.072, data: 0.012) G_GAN: 1.094 G_L1: 8.057 D_real: 0.025 D_fake: 0.029 
(epoch: 13, iters: 18028, time: 0.071, data: 0.009) G_GAN: 1.236 G_L1: 7.326 D_real: 0.067 D_fake: 0.128 
(epoch: 13, iters: 18128, time: 0.070, data: 0.007) G_GAN: 1.056 G_L1: 7.931 D_real: 0.116 D_fake: 0.128 
(epoch: 13, iters: 18228, time: 0.070, data: 0.007) G_GAN: 0.908 G_L1: 8.214 D_real: 0.023 D_fake: 0.074 
(epoch: 13, iters: 18328, time: 0.073, data: 0.006) G_GAN: 0.897 G_L1: 7.827 D_real: 0.010 D_fake: 0.052 
(epoch: 13, iters: 18428, time: 0.073, data: 0.013) G_GAN: 0.801 G_L1: 8.358 D_real: 0.009 D_fake: 0.046 
(epoch: 13, iters: 18528, time: 0.074, data: 0.009) G_GAN: 0.791 G_L1: 7.600 D_real: 0.254 D_fake: 0.010 
(epoch: 13, iters: 18628, time: 0.073, data: 0.009) G_GAN: 1.064 G_L1: 7.113 D_real: 0.061 D_fake: 0.052 
(epoch: 13, iters: 18728, time: 0.073, data: 0.010) G_GAN: 0.928 G_L1: 8.210 D_real: 0.059 D_fake: 0.045 
(epoch: 13, iters: 18828, time: 0.073, data: 0.007) G_GAN: 0.940 G_L1: 8.542 D_real: 0.082 D_fake: 0.047 
(epoch: 13, iters: 18928, time: 0.074, data: 0.007) G_GAN: 0.794 G_L1: 7.059 D_real: 0.020 D_fake: 0.010 
(epoch: 13, iters: 19028, time: 0.073, data: 0.009) G_GAN: 0.876 G_L1: 8.009 D_real: 0.065 D_fake: 0.017 
(epoch: 13, iters: 19128, time: 0.074, data: 0.009) G_GAN: 1.235 G_L1: 7.664 D_real: 0.013 D_fake: 0.033 
(epoch: 13, iters: 19228, time: 0.074, data: 0.008) G_GAN: 0.855 G_L1: 8.226 D_real: 0.094 D_fake: 0.007 
(epoch: 13, iters: 19328, time: 0.072, data: 0.011) G_GAN: 0.890 G_L1: 8.927 D_real: 0.034 D_fake: 0.144 
(epoch: 13, iters: 19428, time: 0.073, data: 0.007) G_GAN: 0.949 G_L1: 8.083 D_real: 0.012 D_fake: 0.007 
(epoch: 13, iters: 19528, time: 0.073, data: 0.018) G_GAN: 0.969 G_L1: 8.120 D_real: 0.009 D_fake: 0.005 
(epoch: 13, iters: 19628, time: 0.073, data: 0.008) G_GAN: 0.909 G_L1: 8.123 D_real: 0.009 D_fake: 0.072 
(epoch: 13, iters: 19728, time: 0.161, data: 0.021) G_GAN: 0.925 G_L1: 7.604 D_real: 0.013 D_fake: 0.020 
(epoch: 13, iters: 19828, time: 0.068, data: 0.008) G_GAN: 1.009 G_L1: 6.915 D_real: 0.036 D_fake: 0.083 
(epoch: 13, iters: 19928, time: 0.071, data: 0.006) G_GAN: 0.776 G_L1: 6.441 D_real: 0.040 D_fake: 0.066 
(epoch: 13, iters: 20028, time: 0.072, data: 0.009) G_GAN: 0.848 G_L1: 8.381 D_real: 0.035 D_fake: 0.015 
(epoch: 13, iters: 20128, time: 0.073, data: 0.007) G_GAN: 1.072 G_L1: 8.886 D_real: 0.013 D_fake: 0.005 
(epoch: 13, iters: 20228, time: 0.073, data: 0.006) G_GAN: 0.685 G_L1: 7.254 D_real: 0.105 D_fake: 0.067 
(epoch: 13, iters: 20328, time: 0.069, data: 0.008) G_GAN: 1.146 G_L1: 8.804 D_real: 0.057 D_fake: 0.158 
(epoch: 13, iters: 20428, time: 0.071, data: 0.013) G_GAN: 0.966 G_L1: 7.231 D_real: 0.194 D_fake: 0.058 
(epoch: 13, iters: 20528, time: 0.071, data: 0.011) G_GAN: 0.901 G_L1: 7.102 D_real: 0.152 D_fake: 0.113 
(epoch: 13, iters: 20628, time: 0.070, data: 0.007) G_GAN: 0.940 G_L1: 9.226 D_real: 0.018 D_fake: 0.016 
(epoch: 13, iters: 20728, time: 0.070, data: 0.007) G_GAN: 0.936 G_L1: 9.443 D_real: 0.034 D_fake: 0.032 
saving the latest model (epoch 13, total_iters 595000)
(epoch: 13, iters: 20828, time: 0.073, data: 0.007) G_GAN: 1.504 G_L1: 8.437 D_real: 0.008 D_fake: 0.250 
(epoch: 13, iters: 20928, time: 0.073, data: 0.009) G_GAN: 1.284 G_L1: 7.912 D_real: 0.037 D_fake: 0.152 
(epoch: 13, iters: 21028, time: 0.073, data: 0.007) G_GAN: 1.061 G_L1: 8.340 D_real: 0.036 D_fake: 0.021 
(epoch: 13, iters: 21128, time: 0.073, data: 0.007) G_GAN: 1.119 G_L1: 8.045 D_real: 0.016 D_fake: 0.145 
(epoch: 13, iters: 21228, time: 0.072, data: 0.008) G_GAN: 1.022 G_L1: 8.253 D_real: 0.029 D_fake: 0.153 
(epoch: 13, iters: 21328, time: 0.074, data: 0.009) G_GAN: 0.978 G_L1: 7.434 D_real: 0.089 D_fake: 0.011 
(epoch: 13, iters: 21428, time: 0.073, data: 0.009) G_GAN: 0.896 G_L1: 8.245 D_real: 0.010 D_fake: 0.020 
(epoch: 13, iters: 21528, time: 0.073, data: 0.006) G_GAN: 1.019 G_L1: 8.503 D_real: 0.015 D_fake: 0.021 
(epoch: 13, iters: 21628, time: 0.074, data: 0.011) G_GAN: 1.142 G_L1: 8.478 D_real: 0.023 D_fake: 0.139 
(epoch: 13, iters: 21728, time: 0.154, data: 0.006) G_GAN: 1.075 G_L1: 10.349 D_real: 0.011 D_fake: 0.009 
(epoch: 13, iters: 21828, time: 0.074, data: 0.006) G_GAN: 0.892 G_L1: 7.254 D_real: 0.084 D_fake: 0.010 
(epoch: 13, iters: 21928, time: 0.072, data: 0.006) G_GAN: 0.864 G_L1: 7.587 D_real: 0.118 D_fake: 0.013 
(epoch: 13, iters: 22028, time: 0.072, data: 0.008) G_GAN: 1.223 G_L1: 7.220 D_real: 0.017 D_fake: 0.270 
(epoch: 13, iters: 22128, time: 0.074, data: 0.007) G_GAN: 0.673 G_L1: 7.611 D_real: 0.025 D_fake: 0.145 
(epoch: 13, iters: 22228, time: 0.073, data: 0.009) G_GAN: 0.869 G_L1: 8.035 D_real: 0.053 D_fake: 0.044 
(epoch: 13, iters: 22328, time: 0.073, data: 0.009) G_GAN: 0.847 G_L1: 7.067 D_real: 0.045 D_fake: 0.012 
(epoch: 13, iters: 22428, time: 0.071, data: 0.013) G_GAN: 0.630 G_L1: 8.324 D_real: 0.140 D_fake: 0.012 
(epoch: 13, iters: 22528, time: 0.074, data: 0.007) G_GAN: 0.913 G_L1: 7.659 D_real: 0.017 D_fake: 0.026 
(epoch: 13, iters: 22628, time: 0.073, data: 0.007) G_GAN: 0.881 G_L1: 7.599 D_real: 0.040 D_fake: 0.020 
(epoch: 13, iters: 22728, time: 0.073, data: 0.013) G_GAN: 1.090 G_L1: 8.412 D_real: 0.017 D_fake: 0.008 
(epoch: 13, iters: 22828, time: 0.072, data: 0.011) G_GAN: 1.033 G_L1: 8.820 D_real: 0.024 D_fake: 0.029 
(epoch: 13, iters: 22928, time: 0.073, data: 0.006) G_GAN: 0.960 G_L1: 7.166 D_real: 0.025 D_fake: 0.006 
(epoch: 13, iters: 23028, time: 0.075, data: 0.007) G_GAN: 0.718 G_L1: 7.559 D_real: 0.157 D_fake: 0.028 
(epoch: 13, iters: 23128, time: 0.073, data: 0.005) G_GAN: 1.030 G_L1: 7.776 D_real: 0.015 D_fake: 0.010 
(epoch: 13, iters: 23228, time: 0.074, data: 0.006) G_GAN: 0.903 G_L1: 7.112 D_real: 0.020 D_fake: 0.034 
(epoch: 13, iters: 23328, time: 0.073, data: 0.010) G_GAN: 0.899 G_L1: 7.284 D_real: 0.057 D_fake: 0.007 
(epoch: 13, iters: 23428, time: 0.073, data: 0.005) G_GAN: 1.027 G_L1: 7.637 D_real: 0.014 D_fake: 0.010 
(epoch: 13, iters: 23528, time: 0.075, data: 0.015) G_GAN: 0.956 G_L1: 8.747 D_real: 0.194 D_fake: 0.111 
(epoch: 13, iters: 23628, time: 0.074, data: 0.008) G_GAN: 0.831 G_L1: 9.261 D_real: 0.112 D_fake: 0.032 
(epoch: 13, iters: 23728, time: 0.164, data: 0.007) G_GAN: 0.810 G_L1: 6.848 D_real: 0.247 D_fake: 0.018 
(epoch: 13, iters: 23828, time: 0.071, data: 0.010) G_GAN: 0.682 G_L1: 8.019 D_real: 0.019 D_fake: 0.165 
(epoch: 13, iters: 23928, time: 0.071, data: 0.007) G_GAN: 0.987 G_L1: 7.322 D_real: 0.010 D_fake: 0.058 
(epoch: 13, iters: 24028, time: 0.072, data: 0.007) G_GAN: 0.887 G_L1: 7.616 D_real: 0.167 D_fake: 0.040 
(epoch: 13, iters: 24128, time: 0.073, data: 0.007) G_GAN: 0.941 G_L1: 7.095 D_real: 0.077 D_fake: 0.015 
(epoch: 13, iters: 24228, time: 0.074, data: 0.007) G_GAN: 0.810 G_L1: 7.802 D_real: 0.025 D_fake: 0.144 
(epoch: 13, iters: 24328, time: 0.072, data: 0.012) G_GAN: 0.793 G_L1: 7.977 D_real: 0.027 D_fake: 0.008 
(epoch: 13, iters: 24428, time: 0.073, data: 0.006) G_GAN: 1.102 G_L1: 7.529 D_real: 0.008 D_fake: 0.013 
(epoch: 13, iters: 24528, time: 0.073, data: 0.011) G_GAN: 0.971 G_L1: 8.992 D_real: 0.013 D_fake: 0.110 
(epoch: 13, iters: 24628, time: 0.072, data: 0.007) G_GAN: 0.954 G_L1: 7.934 D_real: 0.051 D_fake: 0.202 
(epoch: 13, iters: 24728, time: 0.073, data: 0.009) G_GAN: 0.984 G_L1: 8.422 D_real: 0.012 D_fake: 0.156 
(epoch: 13, iters: 24828, time: 0.073, data: 0.005) G_GAN: 0.876 G_L1: 7.930 D_real: 0.062 D_fake: 0.019 
(epoch: 13, iters: 24928, time: 0.072, data: 0.007) G_GAN: 1.094 G_L1: 8.166 D_real: 0.033 D_fake: 0.042 
(epoch: 13, iters: 25028, time: 0.072, data: 0.006) G_GAN: 0.930 G_L1: 6.748 D_real: 0.008 D_fake: 0.045 
(epoch: 13, iters: 25128, time: 0.071, data: 0.010) G_GAN: 0.752 G_L1: 7.941 D_real: 0.066 D_fake: 0.019 
(epoch: 13, iters: 25228, time: 0.071, data: 0.007) G_GAN: 1.028 G_L1: 8.585 D_real: 0.006 D_fake: 0.011 
(epoch: 13, iters: 25328, time: 0.072, data: 0.009) G_GAN: 0.939 G_L1: 8.288 D_real: 0.007 D_fake: 0.014 
(epoch: 13, iters: 25428, time: 0.069, data: 0.012) G_GAN: 0.949 G_L1: 7.350 D_real: 0.010 D_fake: 0.011 
(epoch: 13, iters: 25528, time: 0.072, data: 0.010) G_GAN: 1.013 G_L1: 7.825 D_real: 0.011 D_fake: 0.008 
(epoch: 13, iters: 25628, time: 0.072, data: 0.013) G_GAN: 0.937 G_L1: 7.746 D_real: 0.006 D_fake: 0.019 
(epoch: 13, iters: 25728, time: 0.160, data: 0.006) G_GAN: 0.970 G_L1: 7.557 D_real: 0.006 D_fake: 0.005 
saving the latest model (epoch 13, total_iters 600000)
(epoch: 13, iters: 25828, time: 0.072, data: 0.008) G_GAN: 0.984 G_L1: 6.441 D_real: 0.007 D_fake: 0.004 
(epoch: 13, iters: 25928, time: 0.073, data: 0.008) G_GAN: 1.011 G_L1: 6.995 D_real: 0.007 D_fake: 0.004 
(epoch: 13, iters: 26028, time: 0.071, data: 0.011) G_GAN: 1.028 G_L1: 6.716 D_real: 0.007 D_fake: 0.004 
(epoch: 13, iters: 26128, time: 0.073, data: 0.007) G_GAN: 0.965 G_L1: 6.424 D_real: 0.007 D_fake: 0.003 
(epoch: 13, iters: 26228, time: 0.071, data: 0.010) G_GAN: 0.983 G_L1: 6.996 D_real: 0.013 D_fake: 0.004 
(epoch: 13, iters: 26328, time: 0.074, data: 0.006) G_GAN: 0.955 G_L1: 7.149 D_real: 0.006 D_fake: 0.004 
(epoch: 13, iters: 26428, time: 0.073, data: 0.010) G_GAN: 0.987 G_L1: 6.633 D_real: 0.008 D_fake: 0.004 
(epoch: 13, iters: 26528, time: 0.073, data: 0.007) G_GAN: 0.981 G_L1: 8.311 D_real: 0.015 D_fake: 0.003 
(epoch: 13, iters: 26628, time: 0.072, data: 0.005) G_GAN: 1.021 G_L1: 6.112 D_real: 0.005 D_fake: 0.003 
(epoch: 13, iters: 26728, time: 0.074, data: 0.008) G_GAN: 0.968 G_L1: 6.335 D_real: 0.005 D_fake: 0.003 
(epoch: 13, iters: 26828, time: 0.073, data: 0.006) G_GAN: 1.003 G_L1: 6.569 D_real: 0.005 D_fake: 0.003 
(epoch: 13, iters: 26928, time: 0.073, data: 0.008) G_GAN: 1.046 G_L1: 6.166 D_real: 0.005 D_fake: 0.004 
(epoch: 13, iters: 27028, time: 0.073, data: 0.007) G_GAN: 0.989 G_L1: 7.383 D_real: 0.014 D_fake: 0.005 
(epoch: 13, iters: 27128, time: 0.072, data: 0.006) G_GAN: 1.022 G_L1: 7.221 D_real: 0.006 D_fake: 0.005 
(epoch: 13, iters: 27228, time: 0.073, data: 0.007) G_GAN: 0.962 G_L1: 6.805 D_real: 0.005 D_fake: 0.004 
(epoch: 13, iters: 27328, time: 0.073, data: 0.006) G_GAN: 1.089 G_L1: 8.155 D_real: 0.006 D_fake: 0.022 
(epoch: 13, iters: 27428, time: 0.072, data: 0.009) G_GAN: 1.086 G_L1: 8.825 D_real: 0.012 D_fake: 0.021 
(epoch: 13, iters: 27528, time: 0.074, data: 0.010) G_GAN: 0.976 G_L1: 7.413 D_real: 0.009 D_fake: 0.003 
(epoch: 13, iters: 27628, time: 0.074, data: 0.006) G_GAN: 1.006 G_L1: 7.404 D_real: 0.006 D_fake: 0.002 
(epoch: 13, iters: 27728, time: 0.160, data: 0.005) G_GAN: 1.010 G_L1: 6.068 D_real: 0.005 D_fake: 0.003 
(epoch: 13, iters: 27828, time: 0.071, data: 0.010) G_GAN: 1.016 G_L1: 7.870 D_real: 0.008 D_fake: 0.009 
(epoch: 13, iters: 27928, time: 0.071, data: 0.008) G_GAN: 0.992 G_L1: 6.787 D_real: 0.006 D_fake: 0.005 
(epoch: 13, iters: 28028, time: 0.072, data: 0.006) G_GAN: 0.965 G_L1: 6.800 D_real: 0.005 D_fake: 0.006 
(epoch: 13, iters: 28128, time: 0.069, data: 0.012) G_GAN: 1.085 G_L1: 6.940 D_real: 0.047 D_fake: 0.047 
(epoch: 13, iters: 28228, time: 0.073, data: 0.011) G_GAN: 0.963 G_L1: 6.395 D_real: 0.009 D_fake: 0.003 
(epoch: 13, iters: 28328, time: 0.072, data: 0.007) G_GAN: 1.055 G_L1: 5.819 D_real: 0.006 D_fake: 0.005 
(epoch: 13, iters: 28428, time: 0.070, data: 0.011) G_GAN: 0.963 G_L1: 7.692 D_real: 0.005 D_fake: 0.004 
(epoch: 13, iters: 28528, time: 0.072, data: 0.006) G_GAN: 1.026 G_L1: 6.442 D_real: 0.005 D_fake: 0.002 
(epoch: 13, iters: 28628, time: 0.072, data: 0.006) G_GAN: 0.998 G_L1: 7.492 D_real: 0.008 D_fake: 0.002 
(epoch: 13, iters: 28728, time: 0.071, data: 0.011) G_GAN: 0.991 G_L1: 7.630 D_real: 0.004 D_fake: 0.001 
(epoch: 13, iters: 28828, time: 0.068, data: 0.006) G_GAN: 0.996 G_L1: 6.504 D_real: 0.009 D_fake: 0.004 
(epoch: 13, iters: 28928, time: 0.073, data: 0.011) G_GAN: 0.999 G_L1: 6.133 D_real: 0.005 D_fake: 0.001 
(epoch: 13, iters: 29028, time: 0.072, data: 0.006) G_GAN: 1.008 G_L1: 7.652 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 29128, time: 0.072, data: 0.006) G_GAN: 1.027 G_L1: 7.628 D_real: 0.007 D_fake: 0.005 
(epoch: 13, iters: 29228, time: 0.072, data: 0.009) G_GAN: 1.050 G_L1: 6.623 D_real: 0.007 D_fake: 0.005 
(epoch: 13, iters: 29328, time: 0.073, data: 0.011) G_GAN: 1.013 G_L1: 6.754 D_real: 0.005 D_fake: 0.006 
(epoch: 13, iters: 29428, time: 0.073, data: 0.005) G_GAN: 1.019 G_L1: 6.504 D_real: 0.006 D_fake: 0.002 
(epoch: 13, iters: 29528, time: 0.073, data: 0.006) G_GAN: 0.975 G_L1: 6.304 D_real: 0.004 D_fake: 0.002 
(epoch: 13, iters: 29628, time: 0.072, data: 0.005) G_GAN: 1.019 G_L1: 6.900 D_real: 0.004 D_fake: 0.002 
(epoch: 13, iters: 29728, time: 0.161, data: 0.007) G_GAN: 1.019 G_L1: 7.208 D_real: 0.004 D_fake: 0.001 
(epoch: 13, iters: 29828, time: 0.072, data: 0.007) G_GAN: 0.985 G_L1: 6.591 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 29928, time: 0.074, data: 0.013) G_GAN: 0.999 G_L1: 6.472 D_real: 0.003 D_fake: 0.002 
(epoch: 13, iters: 30028, time: 0.072, data: 0.005) G_GAN: 1.159 G_L1: 6.670 D_real: 0.009 D_fake: 0.014 
(epoch: 13, iters: 30128, time: 0.072, data: 0.009) G_GAN: 0.957 G_L1: 7.089 D_real: 0.006 D_fake: 0.002 
(epoch: 13, iters: 30228, time: 0.072, data: 0.010) G_GAN: 0.981 G_L1: 6.804 D_real: 0.005 D_fake: 0.002 
(epoch: 13, iters: 30328, time: 0.074, data: 0.014) G_GAN: 0.979 G_L1: 6.123 D_real: 0.005 D_fake: 0.001 
(epoch: 13, iters: 30428, time: 0.073, data: 0.007) G_GAN: 1.036 G_L1: 5.983 D_real: 0.007 D_fake: 0.005 
(epoch: 13, iters: 30528, time: 0.070, data: 0.009) G_GAN: 0.960 G_L1: 6.565 D_real: 0.006 D_fake: 0.003 
(epoch: 13, iters: 30628, time: 0.073, data: 0.009) G_GAN: 1.062 G_L1: 5.863 D_real: 0.006 D_fake: 0.010 
(epoch: 13, iters: 30728, time: 0.069, data: 0.006) G_GAN: 0.980 G_L1: 7.233 D_real: 0.005 D_fake: 0.006 
saving the latest model (epoch 13, total_iters 605000)
(epoch: 13, iters: 30828, time: 0.071, data: 0.008) G_GAN: 1.003 G_L1: 8.861 D_real: 0.006 D_fake: 0.004 
(epoch: 13, iters: 30928, time: 0.072, data: 0.005) G_GAN: 1.047 G_L1: 7.171 D_real: 0.007 D_fake: 0.001 
(epoch: 13, iters: 31028, time: 0.069, data: 0.007) G_GAN: 0.984 G_L1: 7.541 D_real: 0.004 D_fake: 0.002 
(epoch: 13, iters: 31128, time: 0.072, data: 0.007) G_GAN: 0.982 G_L1: 7.013 D_real: 0.004 D_fake: 0.003 
(epoch: 13, iters: 31228, time: 0.071, data: 0.008) G_GAN: 0.956 G_L1: 6.823 D_real: 0.006 D_fake: 0.002 
(epoch: 13, iters: 31328, time: 0.072, data: 0.006) G_GAN: 1.030 G_L1: 7.457 D_real: 0.003 D_fake: 0.003 
(epoch: 13, iters: 31428, time: 0.070, data: 0.009) G_GAN: 1.041 G_L1: 7.137 D_real: 0.005 D_fake: 0.002 
(epoch: 13, iters: 31528, time: 0.074, data: 0.008) G_GAN: 1.029 G_L1: 6.085 D_real: 0.006 D_fake: 0.002 
(epoch: 13, iters: 31628, time: 0.074, data: 0.006) G_GAN: 1.126 G_L1: 6.286 D_real: 0.007 D_fake: 0.026 
(epoch: 13, iters: 31728, time: 0.159, data: 0.007) G_GAN: 0.990 G_L1: 6.988 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 31828, time: 0.073, data: 0.007) G_GAN: 0.982 G_L1: 6.496 D_real: 0.005 D_fake: 0.002 
(epoch: 13, iters: 31928, time: 0.073, data: 0.006) G_GAN: 0.984 G_L1: 6.385 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 32028, time: 0.071, data: 0.005) G_GAN: 0.996 G_L1: 6.801 D_real: 0.012 D_fake: 0.005 
(epoch: 13, iters: 32128, time: 0.072, data: 0.006) G_GAN: 0.946 G_L1: 7.815 D_real: 0.005 D_fake: 0.004 
(epoch: 13, iters: 32228, time: 0.071, data: 0.010) G_GAN: 0.999 G_L1: 7.905 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 32328, time: 0.071, data: 0.006) G_GAN: 1.047 G_L1: 6.648 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 32428, time: 0.071, data: 0.011) G_GAN: 0.994 G_L1: 6.555 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 32528, time: 0.070, data: 0.009) G_GAN: 1.029 G_L1: 6.341 D_real: 0.003 D_fake: 0.002 
(epoch: 13, iters: 32628, time: 0.072, data: 0.007) G_GAN: 0.998 G_L1: 7.124 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 32728, time: 0.072, data: 0.007) G_GAN: 0.973 G_L1: 5.968 D_real: 0.003 D_fake: 0.003 
(epoch: 13, iters: 32828, time: 0.071, data: 0.007) G_GAN: 0.984 G_L1: 8.079 D_real: 0.003 D_fake: 0.002 
(epoch: 13, iters: 32928, time: 0.073, data: 0.008) G_GAN: 0.970 G_L1: 6.765 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 33028, time: 0.073, data: 0.007) G_GAN: 0.993 G_L1: 6.977 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 33128, time: 0.073, data: 0.009) G_GAN: 1.017 G_L1: 7.230 D_real: 0.005 D_fake: 0.002 
(epoch: 13, iters: 33228, time: 0.072, data: 0.006) G_GAN: 0.970 G_L1: 6.319 D_real: 0.004 D_fake: 0.002 
(epoch: 13, iters: 33328, time: 0.070, data: 0.005) G_GAN: 1.023 G_L1: 7.117 D_real: 0.003 D_fake: 0.003 
(epoch: 13, iters: 33428, time: 0.072, data: 0.006) G_GAN: 0.970 G_L1: 6.339 D_real: 0.006 D_fake: 0.002 
(epoch: 13, iters: 33528, time: 0.074, data: 0.010) G_GAN: 1.034 G_L1: 8.025 D_real: 0.002 D_fake: 0.002 
(epoch: 13, iters: 33628, time: 0.074, data: 0.007) G_GAN: 0.994 G_L1: 7.753 D_real: 0.002 D_fake: 0.004 
(epoch: 13, iters: 33728, time: 0.155, data: 0.007) G_GAN: 0.992 G_L1: 8.176 D_real: 0.004 D_fake: 0.002 
(epoch: 13, iters: 33828, time: 0.073, data: 0.008) G_GAN: 1.032 G_L1: 5.298 D_real: 0.007 D_fake: 0.002 
(epoch: 13, iters: 33928, time: 0.071, data: 0.006) G_GAN: 1.008 G_L1: 6.799 D_real: 0.004 D_fake: 0.001 
(epoch: 13, iters: 34028, time: 0.069, data: 0.007) G_GAN: 1.004 G_L1: 6.096 D_real: 0.004 D_fake: 0.002 
(epoch: 13, iters: 34128, time: 0.070, data: 0.005) G_GAN: 1.016 G_L1: 6.989 D_real: 0.003 D_fake: 0.002 
(epoch: 13, iters: 34228, time: 0.072, data: 0.007) G_GAN: 0.989 G_L1: 7.374 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 34328, time: 0.072, data: 0.006) G_GAN: 1.019 G_L1: 6.113 D_real: 0.003 D_fake: 0.005 
(epoch: 13, iters: 34428, time: 0.072, data: 0.007) G_GAN: 0.982 G_L1: 7.573 D_real: 0.004 D_fake: 0.005 
(epoch: 13, iters: 34528, time: 0.071, data: 0.011) G_GAN: 1.021 G_L1: 7.344 D_real: 0.003 D_fake: 0.005 
(epoch: 13, iters: 34628, time: 0.074, data: 0.008) G_GAN: 0.981 G_L1: 6.474 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 34728, time: 0.073, data: 0.008) G_GAN: 0.984 G_L1: 6.254 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 34828, time: 0.072, data: 0.006) G_GAN: 0.989 G_L1: 6.690 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 34928, time: 0.073, data: 0.011) G_GAN: 0.991 G_L1: 6.581 D_real: 0.004 D_fake: 0.001 
(epoch: 13, iters: 35028, time: 0.074, data: 0.008) G_GAN: 1.020 G_L1: 6.571 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 35128, time: 0.073, data: 0.009) G_GAN: 1.012 G_L1: 7.210 D_real: 0.003 D_fake: 0.004 
(epoch: 13, iters: 35228, time: 0.074, data: 0.008) G_GAN: 0.980 G_L1: 5.986 D_real: 0.005 D_fake: 0.001 
(epoch: 13, iters: 35328, time: 0.073, data: 0.009) G_GAN: 0.994 G_L1: 6.174 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 35428, time: 0.074, data: 0.009) G_GAN: 0.941 G_L1: 6.584 D_real: 0.003 D_fake: 0.003 
(epoch: 13, iters: 35528, time: 0.073, data: 0.007) G_GAN: 0.985 G_L1: 6.584 D_real: 0.004 D_fake: 0.001 
(epoch: 13, iters: 35628, time: 0.071, data: 0.011) G_GAN: 1.001 G_L1: 6.538 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 35728, time: 0.164, data: 0.007) G_GAN: 0.977 G_L1: 6.964 D_real: 0.003 D_fake: 0.001 
saving the latest model (epoch 13, total_iters 610000)
(epoch: 13, iters: 35828, time: 0.072, data: 0.011) G_GAN: 0.985 G_L1: 6.367 D_real: 0.004 D_fake: 0.002 
(epoch: 13, iters: 35928, time: 0.071, data: 0.005) G_GAN: 1.007 G_L1: 5.682 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 36028, time: 0.069, data: 0.006) G_GAN: 0.993 G_L1: 6.596 D_real: 0.012 D_fake: 0.005 
(epoch: 13, iters: 36128, time: 0.072, data: 0.011) G_GAN: 0.931 G_L1: 6.383 D_real: 0.002 D_fake: 0.024 
(epoch: 13, iters: 36228, time: 0.072, data: 0.005) G_GAN: 1.021 G_L1: 6.521 D_real: 0.006 D_fake: 0.007 
(epoch: 13, iters: 36328, time: 0.072, data: 0.010) G_GAN: 1.037 G_L1: 6.517 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 36428, time: 0.073, data: 0.007) G_GAN: 1.013 G_L1: 7.821 D_real: 0.003 D_fake: 0.002 
(epoch: 13, iters: 36528, time: 0.073, data: 0.006) G_GAN: 0.987 G_L1: 6.303 D_real: 0.003 D_fake: 0.003 
(epoch: 13, iters: 36628, time: 0.072, data: 0.006) G_GAN: 1.001 G_L1: 6.413 D_real: 0.004 D_fake: 0.001 
(epoch: 13, iters: 36728, time: 0.073, data: 0.006) G_GAN: 1.013 G_L1: 6.853 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 36828, time: 0.074, data: 0.006) G_GAN: 0.961 G_L1: 6.059 D_real: 0.004 D_fake: 0.003 
(epoch: 13, iters: 36928, time: 0.073, data: 0.012) G_GAN: 1.046 G_L1: 6.976 D_real: 0.005 D_fake: 0.004 
(epoch: 13, iters: 37028, time: 0.072, data: 0.006) G_GAN: 1.036 G_L1: 6.244 D_real: 0.003 D_fake: 0.002 
(epoch: 13, iters: 37128, time: 0.072, data: 0.009) G_GAN: 0.966 G_L1: 6.212 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 37228, time: 0.074, data: 0.009) G_GAN: 1.029 G_L1: 6.005 D_real: 0.004 D_fake: 0.002 
(epoch: 13, iters: 37328, time: 0.074, data: 0.006) G_GAN: 0.980 G_L1: 8.050 D_real: 0.003 D_fake: 0.002 
(epoch: 13, iters: 37428, time: 0.073, data: 0.007) G_GAN: 1.002 G_L1: 7.058 D_real: 0.004 D_fake: 0.004 
(epoch: 13, iters: 37528, time: 0.072, data: 0.007) G_GAN: 1.033 G_L1: 6.256 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 37628, time: 0.073, data: 0.006) G_GAN: 0.969 G_L1: 7.622 D_real: 0.004 D_fake: 0.002 
(epoch: 13, iters: 37728, time: 0.162, data: 0.008) G_GAN: 0.990 G_L1: 7.904 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 37828, time: 0.068, data: 0.011) G_GAN: 1.005 G_L1: 6.841 D_real: 0.002 D_fake: 0.002 
(epoch: 13, iters: 37928, time: 0.073, data: 0.011) G_GAN: 0.983 G_L1: 6.290 D_real: 0.003 D_fake: 0.004 
(epoch: 13, iters: 38028, time: 0.071, data: 0.009) G_GAN: 1.034 G_L1: 6.390 D_real: 0.004 D_fake: 0.001 
(epoch: 13, iters: 38128, time: 0.071, data: 0.011) G_GAN: 1.091 G_L1: 7.051 D_real: 0.009 D_fake: 0.020 
(epoch: 13, iters: 38228, time: 0.069, data: 0.006) G_GAN: 0.929 G_L1: 6.627 D_real: 0.003 D_fake: 0.004 
(epoch: 13, iters: 38328, time: 0.071, data: 0.006) G_GAN: 0.985 G_L1: 6.409 D_real: 0.002 D_fake: 0.005 
(epoch: 13, iters: 38428, time: 0.068, data: 0.008) G_GAN: 0.985 G_L1: 7.028 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 38528, time: 0.072, data: 0.008) G_GAN: 1.080 G_L1: 6.972 D_real: 0.003 D_fake: 0.011 
(epoch: 13, iters: 38628, time: 0.073, data: 0.011) G_GAN: 0.992 G_L1: 5.254 D_real: 0.004 D_fake: 0.002 
(epoch: 13, iters: 38728, time: 0.073, data: 0.010) G_GAN: 1.014 G_L1: 5.823 D_real: 0.005 D_fake: 0.005 
(epoch: 13, iters: 38828, time: 0.073, data: 0.006) G_GAN: 0.987 G_L1: 6.750 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 38928, time: 0.074, data: 0.006) G_GAN: 1.013 G_L1: 6.660 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 39028, time: 0.073, data: 0.006) G_GAN: 0.971 G_L1: 6.792 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 39128, time: 0.074, data: 0.006) G_GAN: 0.909 G_L1: 5.707 D_real: 0.007 D_fake: 0.004 
(epoch: 13, iters: 39228, time: 0.074, data: 0.006) G_GAN: 0.954 G_L1: 6.496 D_real: 0.002 D_fake: 0.002 
(epoch: 13, iters: 39328, time: 0.073, data: 0.006) G_GAN: 0.969 G_L1: 6.168 D_real: 0.006 D_fake: 0.001 
(epoch: 13, iters: 39428, time: 0.073, data: 0.006) G_GAN: 1.067 G_L1: 7.228 D_real: 0.002 D_fake: 0.007 
(epoch: 13, iters: 39528, time: 0.074, data: 0.006) G_GAN: 1.019 G_L1: 6.527 D_real: 0.003 D_fake: 0.004 
(epoch: 13, iters: 39628, time: 0.072, data: 0.010) G_GAN: 1.014 G_L1: 7.451 D_real: 0.004 D_fake: 0.002 
(epoch: 13, iters: 39728, time: 0.171, data: 0.009) G_GAN: 0.987 G_L1: 7.006 D_real: 0.002 D_fake: 0.003 
(epoch: 13, iters: 39828, time: 0.071, data: 0.007) G_GAN: 0.982 G_L1: 6.113 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 39928, time: 0.070, data: 0.007) G_GAN: 0.934 G_L1: 6.926 D_real: 0.005 D_fake: 0.006 
(epoch: 13, iters: 40028, time: 0.068, data: 0.006) G_GAN: 0.995 G_L1: 6.537 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 40128, time: 0.072, data: 0.007) G_GAN: 0.982 G_L1: 5.526 D_real: 0.002 D_fake: 0.004 
(epoch: 13, iters: 40228, time: 0.070, data: 0.009) G_GAN: 1.048 G_L1: 7.472 D_real: 0.004 D_fake: 0.002 
(epoch: 13, iters: 40328, time: 0.073, data: 0.007) G_GAN: 1.047 G_L1: 6.705 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 40428, time: 0.073, data: 0.006) G_GAN: 0.983 G_L1: 6.037 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 40528, time: 0.073, data: 0.012) G_GAN: 0.973 G_L1: 7.084 D_real: 0.002 D_fake: 0.002 
(epoch: 13, iters: 40628, time: 0.073, data: 0.006) G_GAN: 1.023 G_L1: 6.167 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 40728, time: 0.073, data: 0.011) G_GAN: 0.993 G_L1: 7.931 D_real: 0.003 D_fake: 0.001 
saving the latest model (epoch 13, total_iters 615000)
(epoch: 13, iters: 40828, time: 0.073, data: 0.006) G_GAN: 1.011 G_L1: 6.393 D_real: 0.001 D_fake: 0.001 
(epoch: 13, iters: 40928, time: 0.072, data: 0.007) G_GAN: 0.965 G_L1: 6.684 D_real: 0.003 D_fake: 0.003 
(epoch: 13, iters: 41028, time: 0.073, data: 0.006) G_GAN: 0.977 G_L1: 6.991 D_real: 0.006 D_fake: 0.003 
(epoch: 13, iters: 41128, time: 0.071, data: 0.007) G_GAN: 0.946 G_L1: 5.755 D_real: 0.007 D_fake: 0.001 
(epoch: 13, iters: 41228, time: 0.071, data: 0.006) G_GAN: 0.957 G_L1: 5.510 D_real: 0.007 D_fake: 0.003 
(epoch: 13, iters: 41328, time: 0.070, data: 0.006) G_GAN: 0.974 G_L1: 6.113 D_real: 0.006 D_fake: 0.005 
(epoch: 13, iters: 41428, time: 0.071, data: 0.006) G_GAN: 1.027 G_L1: 6.186 D_real: 0.003 D_fake: 0.002 
(epoch: 13, iters: 41528, time: 0.070, data: 0.012) G_GAN: 1.035 G_L1: 7.339 D_real: 0.004 D_fake: 0.003 
(epoch: 13, iters: 41628, time: 0.073, data: 0.007) G_GAN: 1.022 G_L1: 5.878 D_real: 0.006 D_fake: 0.006 
(epoch: 13, iters: 41728, time: 0.158, data: 0.007) G_GAN: 1.015 G_L1: 6.532 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 41828, time: 0.072, data: 0.005) G_GAN: 1.044 G_L1: 6.681 D_real: 0.004 D_fake: 0.003 
(epoch: 13, iters: 41928, time: 0.072, data: 0.007) G_GAN: 0.991 G_L1: 6.350 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 42028, time: 0.074, data: 0.006) G_GAN: 1.000 G_L1: 5.709 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 42128, time: 0.072, data: 0.011) G_GAN: 0.998 G_L1: 6.560 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 42228, time: 0.072, data: 0.006) G_GAN: 1.008 G_L1: 6.452 D_real: 0.002 D_fake: 0.002 
(epoch: 13, iters: 42328, time: 0.073, data: 0.012) G_GAN: 1.030 G_L1: 8.054 D_real: 0.004 D_fake: 0.001 
(epoch: 13, iters: 42428, time: 0.073, data: 0.010) G_GAN: 0.993 G_L1: 6.252 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 42528, time: 0.073, data: 0.010) G_GAN: 1.020 G_L1: 6.733 D_real: 0.003 D_fake: 0.001 
(epoch: 13, iters: 42628, time: 0.072, data: 0.006) G_GAN: 0.988 G_L1: 6.030 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 42728, time: 0.073, data: 0.009) G_GAN: 0.986 G_L1: 6.850 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 42828, time: 0.072, data: 0.008) G_GAN: 0.998 G_L1: 5.971 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 42928, time: 0.071, data: 0.011) G_GAN: 1.012 G_L1: 6.740 D_real: 0.002 D_fake: 0.001 
(epoch: 13, iters: 43028, time: 0.071, data: 0.010) G_GAN: 1.003 G_L1: 6.618 D_real: 0.003 D_fake: 0.002 
(epoch: 13, iters: 43128, time: 0.072, data: 0.008) G_GAN: 0.992 G_L1: 6.169 D_real: 0.006 D_fake: 0.001 
(epoch: 13, iters: 43228, time: 0.070, data: 0.007) G_GAN: 0.995 G_L1: 7.004 D_real: 0.004 D_fake: 0.002 
(epoch: 13, iters: 43328, time: 0.072, data: 0.009) G_GAN: 0.982 G_L1: 6.377 D_real: 0.003 D_fake: 0.002 
(epoch: 13, iters: 43428, time: 0.073, data: 0.006) G_GAN: 1.065 G_L1: 6.920 D_real: 0.005 D_fake: 0.008 
(epoch: 13, iters: 43528, time: 0.073, data: 0.005) G_GAN: 1.027 G_L1: 5.978 D_real: 0.003 D_fake: 0.004 
(epoch: 13, iters: 43628, time: 0.073, data: 0.007) G_GAN: 0.991 G_L1: 5.695 D_real: 0.003 D_fake: 0.002 
(epoch: 13, iters: 43728, time: 0.158, data: 0.007) G_GAN: 1.007 G_L1: 6.187 D_real: 0.005 D_fake: 0.003 
(epoch: 13, iters: 43828, time: 0.074, data: 0.008) G_GAN: 1.035 G_L1: 6.539 D_real: 0.005 D_fake: 0.004 
(epoch: 13, iters: 43928, time: 0.073, data: 0.007) G_GAN: 1.048 G_L1: 5.972 D_real: 0.003 D_fake: 0.002 
(epoch: 13, iters: 44028, time: 0.074, data: 0.007) G_GAN: 0.988 G_L1: 6.693 D_real: 0.003 D_fake: 0.003 
(epoch: 13, iters: 44128, time: 0.073, data: 0.006) G_GAN: 1.017 G_L1: 5.949 D_real: 0.002 D_fake: 0.015 
(epoch: 13, iters: 44228, time: 0.073, data: 0.007) G_GAN: 0.985 G_L1: 7.207 D_real: 0.003 D_fake: 0.002 
(epoch: 13, iters: 44328, time: 0.074, data: 0.012) G_GAN: 1.025 G_L1: 5.557 D_real: 0.012 D_fake: 0.005 
(epoch: 13, iters: 44428, time: 0.073, data: 0.006) G_GAN: 0.335 G_L1: 7.064 D_real: 0.257 D_fake: 0.181 
(epoch: 13, iters: 44528, time: 0.071, data: 0.007) G_GAN: 0.331 G_L1: 5.964 D_real: 0.187 D_fake: 0.175 
(epoch: 13, iters: 44628, time: 0.073, data: 0.008) G_GAN: 0.448 G_L1: 6.417 D_real: 0.155 D_fake: 0.061 
(epoch: 13, iters: 44728, time: 0.073, data: 0.007) G_GAN: 0.611 G_L1: 7.585 D_real: 0.158 D_fake: 0.034 
(epoch: 13, iters: 44828, time: 0.072, data: 0.009) G_GAN: 0.454 G_L1: 6.309 D_real: 0.112 D_fake: 0.168 
(epoch: 13, iters: 44928, time: 0.072, data: 0.010) G_GAN: 0.453 G_L1: 7.125 D_real: 0.171 D_fake: 0.021 
(epoch: 13, iters: 45028, time: 0.072, data: 0.006) G_GAN: 0.853 G_L1: 7.183 D_real: 0.109 D_fake: 0.044 
(epoch: 13, iters: 45128, time: 0.072, data: 0.010) G_GAN: 0.839 G_L1: 5.974 D_real: 0.026 D_fake: 0.136 
(epoch: 13, iters: 45228, time: 0.074, data: 0.007) G_GAN: 0.806 G_L1: 7.260 D_real: 0.074 D_fake: 0.059 
(epoch: 13, iters: 45328, time: 0.071, data: 0.006) G_GAN: 1.062 G_L1: 7.821 D_real: 0.011 D_fake: 0.006 
(epoch: 13, iters: 45428, time: 0.072, data: 0.010) G_GAN: 0.973 G_L1: 7.336 D_real: 0.040 D_fake: 0.015 
(epoch: 13, iters: 45528, time: 0.072, data: 0.008) G_GAN: 0.911 G_L1: 6.236 D_real: 0.046 D_fake: 0.016 
(epoch: 13, iters: 45628, time: 0.072, data: 0.007) G_GAN: 0.999 G_L1: 6.056 D_real: 0.009 D_fake: 0.009 
(epoch: 13, iters: 45728, time: 0.165, data: 0.007) G_GAN: 1.084 G_L1: 9.247 D_real: 0.012 D_fake: 0.006 
saving the latest model (epoch 13, total_iters 620000)
(epoch: 13, iters: 45828, time: 0.075, data: 0.006) G_GAN: 0.743 G_L1: 6.154 D_real: 0.018 D_fake: 0.023 
(epoch: 13, iters: 45928, time: 0.075, data: 0.008) G_GAN: 1.041 G_L1: 6.545 D_real: 0.007 D_fake: 0.006 
(epoch: 13, iters: 46028, time: 0.075, data: 0.012) G_GAN: 0.904 G_L1: 7.530 D_real: 0.012 D_fake: 0.006 
(epoch: 13, iters: 46128, time: 0.073, data: 0.007) G_GAN: 0.804 G_L1: 7.261 D_real: 0.241 D_fake: 0.006 
(epoch: 13, iters: 46228, time: 0.073, data: 0.006) G_GAN: 1.063 G_L1: 6.754 D_real: 0.009 D_fake: 0.008 
(epoch: 13, iters: 46328, time: 0.073, data: 0.006) G_GAN: 0.883 G_L1: 7.345 D_real: 0.015 D_fake: 0.012 
(epoch: 13, iters: 46428, time: 0.073, data: 0.006) G_GAN: 0.971 G_L1: 6.358 D_real: 0.066 D_fake: 0.056 
(epoch: 13, iters: 46528, time: 0.073, data: 0.011) G_GAN: 0.957 G_L1: 7.446 D_real: 0.005 D_fake: 0.003 
(epoch: 13, iters: 46628, time: 0.073, data: 0.007) G_GAN: 0.922 G_L1: 8.328 D_real: 0.012 D_fake: 0.022 
(epoch: 13, iters: 46728, time: 0.073, data: 0.012) G_GAN: 1.164 G_L1: 7.800 D_real: 0.007 D_fake: 0.020 
(epoch: 13, iters: 46828, time: 0.071, data: 0.008) G_GAN: 1.038 G_L1: 6.797 D_real: 0.018 D_fake: 0.008 
(epoch: 13, iters: 46928, time: 0.072, data: 0.011) G_GAN: 1.109 G_L1: 7.572 D_real: 0.019 D_fake: 0.006 
(epoch: 13, iters: 47028, time: 0.070, data: 0.007) G_GAN: 0.901 G_L1: 7.246 D_real: 0.008 D_fake: 0.004 
(epoch: 13, iters: 47128, time: 0.071, data: 0.006) G_GAN: 0.925 G_L1: 6.385 D_real: 0.008 D_fake: 0.006 
(epoch: 13, iters: 47228, time: 0.073, data: 0.008) G_GAN: 0.953 G_L1: 6.581 D_real: 0.016 D_fake: 0.003 
(epoch: 13, iters: 47328, time: 0.074, data: 0.010) G_GAN: 1.110 G_L1: 6.618 D_real: 0.044 D_fake: 0.028 
(epoch: 13, iters: 47428, time: 0.073, data: 0.007) G_GAN: 1.179 G_L1: 9.114 D_real: 0.013 D_fake: 0.017 
(epoch: 13, iters: 47528, time: 0.071, data: 0.006) G_GAN: 0.994 G_L1: 6.341 D_real: 0.011 D_fake: 0.010 
(epoch: 13, iters: 47628, time: 0.073, data: 0.006) G_GAN: 0.871 G_L1: 8.057 D_real: 0.008 D_fake: 0.018 
(epoch: 13, iters: 47728, time: 0.159, data: 0.006) G_GAN: 1.024 G_L1: 7.326 D_real: 0.007 D_fake: 0.002 
(epoch: 13, iters: 47828, time: 0.073, data: 0.007) G_GAN: 0.990 G_L1: 7.181 D_real: 0.008 D_fake: 0.004 
End of epoch 13 / 20 	 Time Taken: 1973 sec
learning rate 0.0002000 -> 0.0002000
(epoch: 14, iters: 72, time: 0.067, data: 0.006) G_GAN: 0.983 G_L1: 6.426 D_real: 0.006 D_fake: 0.002 
(epoch: 14, iters: 172, time: 0.071, data: 0.004) G_GAN: 1.032 G_L1: 7.048 D_real: 0.005 D_fake: 0.002 
(epoch: 14, iters: 272, time: 0.156, data: 0.006) G_GAN: 1.016 G_L1: 8.121 D_real: 0.010 D_fake: 0.002 
(epoch: 14, iters: 372, time: 0.072, data: 0.011) G_GAN: 0.933 G_L1: 7.133 D_real: 0.010 D_fake: 0.004 
(epoch: 14, iters: 472, time: 0.070, data: 0.007) G_GAN: 1.055 G_L1: 8.319 D_real: 0.005 D_fake: 0.002 
(epoch: 14, iters: 572, time: 0.072, data: 0.007) G_GAN: 1.010 G_L1: 7.879 D_real: 0.004 D_fake: 0.003 
(epoch: 14, iters: 672, time: 0.071, data: 0.007) G_GAN: 0.938 G_L1: 7.930 D_real: 0.004 D_fake: 0.047 
(epoch: 14, iters: 772, time: 0.071, data: 0.011) G_GAN: 0.917 G_L1: 7.090 D_real: 0.004 D_fake: 0.005 
(epoch: 14, iters: 872, time: 0.067, data: 0.013) G_GAN: 1.015 G_L1: 6.378 D_real: 0.004 D_fake: 0.002 
(epoch: 14, iters: 972, time: 0.068, data: 0.006) G_GAN: 1.060 G_L1: 8.016 D_real: 0.006 D_fake: 0.012 
(epoch: 14, iters: 1072, time: 0.072, data: 0.006) G_GAN: 0.944 G_L1: 8.576 D_real: 0.004 D_fake: 0.067 
(epoch: 14, iters: 1172, time: 0.069, data: 0.007) G_GAN: 0.955 G_L1: 6.784 D_real: 0.008 D_fake: 0.004 
(epoch: 14, iters: 1272, time: 0.069, data: 0.008) G_GAN: 0.966 G_L1: 5.922 D_real: 0.015 D_fake: 0.002 
(epoch: 14, iters: 1372, time: 0.068, data: 0.012) G_GAN: 1.027 G_L1: 7.757 D_real: 0.004 D_fake: 0.001 
(epoch: 14, iters: 1472, time: 0.071, data: 0.011) G_GAN: 1.003 G_L1: 7.622 D_real: 0.012 D_fake: 0.003 
(epoch: 14, iters: 1572, time: 0.071, data: 0.009) G_GAN: 0.943 G_L1: 7.782 D_real: 0.004 D_fake: 0.028 
(epoch: 14, iters: 1672, time: 0.072, data: 0.010) G_GAN: 0.981 G_L1: 6.403 D_real: 0.012 D_fake: 0.005 
(epoch: 14, iters: 1772, time: 0.071, data: 0.006) G_GAN: 1.008 G_L1: 6.697 D_real: 0.008 D_fake: 0.004 
(epoch: 14, iters: 1872, time: 0.160, data: 0.010) G_GAN: 0.988 G_L1: 6.763 D_real: 0.006 D_fake: 0.004 
(epoch: 14, iters: 1972, time: 0.069, data: 0.011) G_GAN: 1.020 G_L1: 8.031 D_real: 0.004 D_fake: 0.001 
(epoch: 14, iters: 2072, time: 0.070, data: 0.011) G_GAN: 1.082 G_L1: 8.506 D_real: 0.004 D_fake: 0.003 
(epoch: 14, iters: 2172, time: 0.071, data: 0.007) G_GAN: 0.997 G_L1: 7.111 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 2272, time: 0.069, data: 0.012) G_GAN: 1.065 G_L1: 7.567 D_real: 0.007 D_fake: 0.001 
(epoch: 14, iters: 2372, time: 0.071, data: 0.008) G_GAN: 0.965 G_L1: 6.886 D_real: 0.003 D_fake: 0.002 
(epoch: 14, iters: 2472, time: 0.071, data: 0.008) G_GAN: 0.980 G_L1: 6.136 D_real: 0.005 D_fake: 0.002 
(epoch: 14, iters: 2572, time: 0.071, data: 0.008) G_GAN: 0.976 G_L1: 7.287 D_real: 0.005 D_fake: 0.002 
(epoch: 14, iters: 2672, time: 0.070, data: 0.006) G_GAN: 1.018 G_L1: 8.581 D_real: 0.004 D_fake: 0.001 
(epoch: 14, iters: 2772, time: 0.072, data: 0.009) G_GAN: 0.978 G_L1: 6.485 D_real: 0.004 D_fake: 0.004 
(epoch: 14, iters: 2872, time: 0.073, data: 0.006) G_GAN: 0.957 G_L1: 7.300 D_real: 0.002 D_fake: 0.002 
saving the latest model (epoch 14, total_iters 625000)
(epoch: 14, iters: 2972, time: 0.071, data: 0.008) G_GAN: 1.067 G_L1: 8.009 D_real: 0.004 D_fake: 0.004 
(epoch: 14, iters: 3072, time: 0.071, data: 0.006) G_GAN: 0.977 G_L1: 7.707 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 3172, time: 0.068, data: 0.009) G_GAN: 0.958 G_L1: 7.395 D_real: 0.003 D_fake: 0.003 
(epoch: 14, iters: 3272, time: 0.071, data: 0.009) G_GAN: 1.022 G_L1: 7.564 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 3372, time: 0.071, data: 0.007) G_GAN: 1.047 G_L1: 6.833 D_real: 0.004 D_fake: 0.003 
(epoch: 14, iters: 3472, time: 0.069, data: 0.006) G_GAN: 0.923 G_L1: 6.677 D_real: 0.002 D_fake: 0.008 
(epoch: 14, iters: 3572, time: 0.071, data: 0.012) G_GAN: 1.010 G_L1: 7.487 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 3672, time: 0.071, data: 0.009) G_GAN: 0.998 G_L1: 6.629 D_real: 0.007 D_fake: 0.002 
(epoch: 14, iters: 3772, time: 0.075, data: 0.008) G_GAN: 1.086 G_L1: 6.665 D_real: 0.002 D_fake: 0.005 
(epoch: 14, iters: 3872, time: 0.167, data: 0.010) G_GAN: 0.993 G_L1: 6.796 D_real: 0.003 D_fake: 0.006 
(epoch: 14, iters: 3972, time: 0.071, data: 0.012) G_GAN: 0.942 G_L1: 6.488 D_real: 0.003 D_fake: 0.003 
(epoch: 14, iters: 4072, time: 0.068, data: 0.008) G_GAN: 0.994 G_L1: 6.950 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 4172, time: 0.067, data: 0.011) G_GAN: 1.003 G_L1: 6.574 D_real: 0.002 D_fake: 0.004 
(epoch: 14, iters: 4272, time: 0.070, data: 0.006) G_GAN: 1.005 G_L1: 7.537 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 4372, time: 0.070, data: 0.007) G_GAN: 0.993 G_L1: 7.649 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 4472, time: 0.068, data: 0.011) G_GAN: 1.037 G_L1: 6.284 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 4572, time: 0.068, data: 0.007) G_GAN: 0.972 G_L1: 7.429 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 4672, time: 0.072, data: 0.009) G_GAN: 0.988 G_L1: 6.998 D_real: 0.003 D_fake: 0.002 
(epoch: 14, iters: 4772, time: 0.066, data: 0.008) G_GAN: 0.981 G_L1: 6.198 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 4872, time: 0.068, data: 0.007) G_GAN: 1.037 G_L1: 6.757 D_real: 0.003 D_fake: 0.002 
(epoch: 14, iters: 4972, time: 0.070, data: 0.008) G_GAN: 1.017 G_L1: 7.114 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 5072, time: 0.072, data: 0.011) G_GAN: 0.972 G_L1: 6.805 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 5172, time: 0.072, data: 0.012) G_GAN: 1.077 G_L1: 5.644 D_real: 0.006 D_fake: 0.008 
(epoch: 14, iters: 5272, time: 0.071, data: 0.007) G_GAN: 0.993 G_L1: 7.546 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 5372, time: 0.071, data: 0.006) G_GAN: 0.980 G_L1: 5.938 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 5472, time: 0.068, data: 0.011) G_GAN: 0.976 G_L1: 6.749 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 5572, time: 0.071, data: 0.006) G_GAN: 1.001 G_L1: 6.134 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 5672, time: 0.071, data: 0.007) G_GAN: 1.015 G_L1: 6.483 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 5772, time: 0.071, data: 0.008) G_GAN: 0.979 G_L1: 5.914 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 5872, time: 0.163, data: 0.010) G_GAN: 1.013 G_L1: 6.628 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 5972, time: 0.067, data: 0.007) G_GAN: 1.033 G_L1: 5.868 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 6072, time: 0.070, data: 0.007) G_GAN: 1.009 G_L1: 6.610 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 6172, time: 0.071, data: 0.007) G_GAN: 1.003 G_L1: 6.739 D_real: 0.002 D_fake: 0.000 
(epoch: 14, iters: 6272, time: 0.069, data: 0.014) G_GAN: 1.025 G_L1: 5.996 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 6372, time: 0.071, data: 0.006) G_GAN: 1.040 G_L1: 6.470 D_real: 0.002 D_fake: 0.003 
(epoch: 14, iters: 6472, time: 0.071, data: 0.006) G_GAN: 1.002 G_L1: 6.080 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 6572, time: 0.071, data: 0.007) G_GAN: 1.030 G_L1: 8.672 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 6672, time: 0.070, data: 0.011) G_GAN: 1.001 G_L1: 5.965 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 6772, time: 0.069, data: 0.006) G_GAN: 0.996 G_L1: 6.763 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 6872, time: 0.069, data: 0.010) G_GAN: 0.992 G_L1: 7.616 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 6972, time: 0.069, data: 0.006) G_GAN: 0.952 G_L1: 7.737 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 7072, time: 0.072, data: 0.007) G_GAN: 0.983 G_L1: 5.641 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 7172, time: 0.072, data: 0.007) G_GAN: 0.988 G_L1: 6.771 D_real: 0.002 D_fake: 0.000 
(epoch: 14, iters: 7272, time: 0.071, data: 0.009) G_GAN: 1.028 G_L1: 6.777 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 7372, time: 0.071, data: 0.007) G_GAN: 1.000 G_L1: 6.660 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 7472, time: 0.069, data: 0.014) G_GAN: 1.016 G_L1: 6.643 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 7572, time: 0.068, data: 0.007) G_GAN: 1.022 G_L1: 6.124 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 7672, time: 0.071, data: 0.010) G_GAN: 0.994 G_L1: 6.590 D_real: 0.003 D_fake: 0.000 
(epoch: 14, iters: 7772, time: 0.070, data: 0.006) G_GAN: 1.014 G_L1: 6.223 D_real: 0.004 D_fake: 0.002 
(epoch: 14, iters: 7872, time: 0.170, data: 0.008) G_GAN: 1.018 G_L1: 6.518 D_real: 0.002 D_fake: 0.001 
saving the latest model (epoch 14, total_iters 630000)
(epoch: 14, iters: 7972, time: 0.071, data: 0.017) G_GAN: 0.981 G_L1: 5.649 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 8072, time: 0.074, data: 0.008) G_GAN: 0.987 G_L1: 5.915 D_real: 0.002 D_fake: 0.003 
(epoch: 14, iters: 8172, time: 0.073, data: 0.007) G_GAN: 1.041 G_L1: 6.006 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 8272, time: 0.072, data: 0.010) G_GAN: 1.013 G_L1: 7.061 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 8372, time: 0.072, data: 0.006) G_GAN: 0.985 G_L1: 6.546 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 8472, time: 0.075, data: 0.006) G_GAN: 0.974 G_L1: 8.197 D_real: 0.005 D_fake: 0.001 
(epoch: 14, iters: 8572, time: 0.073, data: 0.007) G_GAN: 1.012 G_L1: 6.523 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 8672, time: 0.068, data: 0.006) G_GAN: 1.024 G_L1: 7.663 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 8772, time: 0.073, data: 0.010) G_GAN: 0.981 G_L1: 6.058 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 8872, time: 0.072, data: 0.006) G_GAN: 1.014 G_L1: 6.175 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 8972, time: 0.074, data: 0.009) G_GAN: 1.023 G_L1: 7.209 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 9072, time: 0.073, data: 0.011) G_GAN: 0.973 G_L1: 5.904 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 9172, time: 0.073, data: 0.005) G_GAN: 0.984 G_L1: 6.389 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 9272, time: 0.074, data: 0.006) G_GAN: 0.980 G_L1: 5.966 D_real: 0.001 D_fake: 0.002 
(epoch: 14, iters: 9372, time: 0.072, data: 0.007) G_GAN: 0.987 G_L1: 6.851 D_real: 0.002 D_fake: 0.000 
(epoch: 14, iters: 9472, time: 0.072, data: 0.015) G_GAN: 0.977 G_L1: 6.413 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 9572, time: 0.071, data: 0.012) G_GAN: 1.002 G_L1: 7.313 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 9672, time: 0.073, data: 0.008) G_GAN: 1.000 G_L1: 8.376 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 9772, time: 0.072, data: 0.009) G_GAN: 1.000 G_L1: 7.310 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 9872, time: 0.159, data: 0.011) G_GAN: 1.018 G_L1: 7.491 D_real: 0.005 D_fake: 0.004 
(epoch: 14, iters: 9972, time: 0.073, data: 0.006) G_GAN: 1.009 G_L1: 5.709 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 10072, time: 0.074, data: 0.005) G_GAN: 0.987 G_L1: 7.090 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 10172, time: 0.072, data: 0.005) G_GAN: 1.018 G_L1: 6.501 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 10272, time: 0.073, data: 0.006) G_GAN: 1.058 G_L1: 6.846 D_real: 0.002 D_fake: 0.003 
(epoch: 14, iters: 10372, time: 0.074, data: 0.006) G_GAN: 0.991 G_L1: 7.298 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 10472, time: 0.072, data: 0.008) G_GAN: 1.022 G_L1: 6.479 D_real: 0.003 D_fake: 0.002 
(epoch: 14, iters: 10572, time: 0.074, data: 0.006) G_GAN: 0.952 G_L1: 5.734 D_real: 0.004 D_fake: 0.001 
(epoch: 14, iters: 10672, time: 0.071, data: 0.006) G_GAN: 1.006 G_L1: 6.591 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 10772, time: 0.073, data: 0.007) G_GAN: 1.019 G_L1: 6.669 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 10872, time: 0.071, data: 0.009) G_GAN: 0.969 G_L1: 6.575 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 10972, time: 0.070, data: 0.007) G_GAN: 1.025 G_L1: 6.911 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 11072, time: 0.071, data: 0.010) G_GAN: 0.984 G_L1: 6.805 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 11172, time: 0.070, data: 0.006) G_GAN: 0.988 G_L1: 6.560 D_real: 0.002 D_fake: 0.003 
(epoch: 14, iters: 11272, time: 0.070, data: 0.007) G_GAN: 1.008 G_L1: 6.119 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 11372, time: 0.073, data: 0.008) G_GAN: 0.990 G_L1: 6.660 D_real: 0.003 D_fake: 0.002 
(epoch: 14, iters: 11472, time: 0.074, data: 0.010) G_GAN: 0.996 G_L1: 5.446 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 11572, time: 0.071, data: 0.007) G_GAN: 1.009 G_L1: 6.532 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 11672, time: 0.071, data: 0.009) G_GAN: 0.990 G_L1: 6.638 D_real: 0.002 D_fake: 0.000 
(epoch: 14, iters: 11772, time: 0.072, data: 0.006) G_GAN: 0.985 G_L1: 6.821 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 11872, time: 0.166, data: 0.007) G_GAN: 1.017 G_L1: 5.706 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 11972, time: 0.074, data: 0.007) G_GAN: 1.018 G_L1: 6.631 D_real: 0.004 D_fake: 0.001 
(epoch: 14, iters: 12072, time: 0.073, data: 0.006) G_GAN: 0.986 G_L1: 5.765 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 12172, time: 0.073, data: 0.009) G_GAN: 1.041 G_L1: 6.290 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 12272, time: 0.073, data: 0.005) G_GAN: 1.022 G_L1: 6.978 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 12372, time: 0.074, data: 0.007) G_GAN: 0.983 G_L1: 6.263 D_real: 0.002 D_fake: 0.000 
(epoch: 14, iters: 12472, time: 0.071, data: 0.006) G_GAN: 0.986 G_L1: 5.919 D_real: 0.001 D_fake: 0.012 
(epoch: 14, iters: 12572, time: 0.072, data: 0.007) G_GAN: 1.029 G_L1: 6.751 D_real: 0.005 D_fake: 0.002 
(epoch: 14, iters: 12672, time: 0.072, data: 0.007) G_GAN: 1.014 G_L1: 6.780 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 12772, time: 0.072, data: 0.008) G_GAN: 0.982 G_L1: 6.368 D_real: 0.005 D_fake: 0.002 
(epoch: 14, iters: 12872, time: 0.073, data: 0.007) G_GAN: 0.963 G_L1: 6.524 D_real: 0.002 D_fake: 0.002 
saving the latest model (epoch 14, total_iters 635000)
(epoch: 14, iters: 12972, time: 0.069, data: 0.008) G_GAN: 0.984 G_L1: 6.894 D_real: 0.003 D_fake: 0.000 
(epoch: 14, iters: 13072, time: 0.070, data: 0.006) G_GAN: 0.998 G_L1: 7.018 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 13172, time: 0.070, data: 0.009) G_GAN: 0.982 G_L1: 6.051 D_real: 0.003 D_fake: 0.003 
(epoch: 14, iters: 13272, time: 0.074, data: 0.011) G_GAN: 1.007 G_L1: 7.022 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 13372, time: 0.072, data: 0.006) G_GAN: 0.959 G_L1: 7.861 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 13472, time: 0.073, data: 0.007) G_GAN: 0.994 G_L1: 7.311 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 13572, time: 0.073, data: 0.007) G_GAN: 0.977 G_L1: 6.494 D_real: 0.003 D_fake: 0.003 
(epoch: 14, iters: 13672, time: 0.074, data: 0.006) G_GAN: 0.946 G_L1: 7.219 D_real: 0.003 D_fake: 0.004 
(epoch: 14, iters: 13772, time: 0.072, data: 0.011) G_GAN: 0.999 G_L1: 6.655 D_real: 0.003 D_fake: 0.003 
(epoch: 14, iters: 13872, time: 0.165, data: 0.011) G_GAN: 1.013 G_L1: 8.259 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 13972, time: 0.072, data: 0.009) G_GAN: 1.031 G_L1: 5.922 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 14072, time: 0.071, data: 0.005) G_GAN: 1.001 G_L1: 6.749 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 14172, time: 0.068, data: 0.006) G_GAN: 1.005 G_L1: 7.406 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 14272, time: 0.071, data: 0.010) G_GAN: 1.014 G_L1: 6.242 D_real: 0.005 D_fake: 0.003 
(epoch: 14, iters: 14372, time: 0.071, data: 0.010) G_GAN: 1.001 G_L1: 6.036 D_real: 0.005 D_fake: 0.003 
(epoch: 14, iters: 14472, time: 0.071, data: 0.008) G_GAN: 0.996 G_L1: 6.646 D_real: 0.002 D_fake: 0.000 
(epoch: 14, iters: 14572, time: 0.072, data: 0.007) G_GAN: 1.012 G_L1: 6.540 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 14672, time: 0.073, data: 0.007) G_GAN: 0.998 G_L1: 6.717 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 14772, time: 0.073, data: 0.005) G_GAN: 0.979 G_L1: 6.088 D_real: 0.003 D_fake: 0.006 
(epoch: 14, iters: 14872, time: 0.073, data: 0.008) G_GAN: 0.992 G_L1: 7.341 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 14972, time: 0.070, data: 0.009) G_GAN: 0.992 G_L1: 6.189 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 15072, time: 0.073, data: 0.012) G_GAN: 0.978 G_L1: 8.163 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 15172, time: 0.072, data: 0.010) G_GAN: 1.005 G_L1: 5.713 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 15272, time: 0.070, data: 0.007) G_GAN: 1.005 G_L1: 6.250 D_real: 0.002 D_fake: 0.000 
(epoch: 14, iters: 15372, time: 0.071, data: 0.009) G_GAN: 0.979 G_L1: 6.814 D_real: 0.004 D_fake: 0.001 
(epoch: 14, iters: 15472, time: 0.073, data: 0.007) G_GAN: 0.992 G_L1: 6.342 D_real: 0.002 D_fake: 0.000 
(epoch: 14, iters: 15572, time: 0.073, data: 0.006) G_GAN: 0.987 G_L1: 5.890 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 15672, time: 0.073, data: 0.007) G_GAN: 0.967 G_L1: 7.465 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 15772, time: 0.071, data: 0.009) G_GAN: 1.036 G_L1: 7.494 D_real: 0.005 D_fake: 0.007 
(epoch: 14, iters: 15872, time: 0.160, data: 0.009) G_GAN: 1.014 G_L1: 6.272 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 15972, time: 0.074, data: 0.011) G_GAN: 1.020 G_L1: 7.080 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 16072, time: 0.073, data: 0.006) G_GAN: 0.985 G_L1: 7.367 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 16172, time: 0.074, data: 0.010) G_GAN: 0.973 G_L1: 6.763 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 16272, time: 0.072, data: 0.007) G_GAN: 0.989 G_L1: 6.593 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 16372, time: 0.072, data: 0.007) G_GAN: 1.023 G_L1: 6.282 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 16472, time: 0.072, data: 0.009) G_GAN: 0.291 G_L1: 5.900 D_real: 0.180 D_fake: 0.265 
(epoch: 14, iters: 16572, time: 0.072, data: 0.011) G_GAN: 0.460 G_L1: 6.140 D_real: 0.179 D_fake: 0.072 
(epoch: 14, iters: 16672, time: 0.072, data: 0.006) G_GAN: 0.256 G_L1: 5.754 D_real: 0.307 D_fake: 0.046 
(epoch: 14, iters: 16772, time: 0.072, data: 0.007) G_GAN: 0.751 G_L1: 7.581 D_real: 0.034 D_fake: 0.041 
(epoch: 14, iters: 16872, time: 0.070, data: 0.006) G_GAN: 0.723 G_L1: 6.925 D_real: 0.103 D_fake: 0.007 
(epoch: 14, iters: 16972, time: 0.069, data: 0.009) G_GAN: 0.887 G_L1: 6.068 D_real: 0.032 D_fake: 0.020 
(epoch: 14, iters: 17072, time: 0.073, data: 0.011) G_GAN: 0.951 G_L1: 8.753 D_real: 0.027 D_fake: 0.010 
(epoch: 14, iters: 17172, time: 0.073, data: 0.008) G_GAN: 0.923 G_L1: 6.568 D_real: 0.013 D_fake: 0.007 
(epoch: 14, iters: 17272, time: 0.074, data: 0.011) G_GAN: 1.089 G_L1: 7.875 D_real: 0.010 D_fake: 0.008 
(epoch: 14, iters: 17372, time: 0.073, data: 0.010) G_GAN: 0.995 G_L1: 6.787 D_real: 0.021 D_fake: 0.010 
(epoch: 14, iters: 17472, time: 0.074, data: 0.010) G_GAN: 0.829 G_L1: 6.024 D_real: 0.024 D_fake: 0.041 
(epoch: 14, iters: 17572, time: 0.073, data: 0.010) G_GAN: 0.911 G_L1: 6.712 D_real: 0.008 D_fake: 0.006 
(epoch: 14, iters: 17672, time: 0.073, data: 0.006) G_GAN: 1.036 G_L1: 6.364 D_real: 0.011 D_fake: 0.157 
(epoch: 14, iters: 17772, time: 0.072, data: 0.010) G_GAN: 0.976 G_L1: 6.327 D_real: 0.012 D_fake: 0.003 
(epoch: 14, iters: 17872, time: 0.163, data: 0.010) G_GAN: 1.140 G_L1: 7.479 D_real: 0.007 D_fake: 0.006 
saving the latest model (epoch 14, total_iters 640000)
(epoch: 14, iters: 17972, time: 0.074, data: 0.006) G_GAN: 0.998 G_L1: 7.645 D_real: 0.004 D_fake: 0.004 
(epoch: 14, iters: 18072, time: 0.071, data: 0.006) G_GAN: 0.916 G_L1: 7.761 D_real: 0.010 D_fake: 0.008 
(epoch: 14, iters: 18172, time: 0.072, data: 0.007) G_GAN: 0.948 G_L1: 6.658 D_real: 0.007 D_fake: 0.006 
(epoch: 14, iters: 18272, time: 0.071, data: 0.010) G_GAN: 0.862 G_L1: 6.291 D_real: 0.008 D_fake: 0.008 
(epoch: 14, iters: 18372, time: 0.073, data: 0.011) G_GAN: 0.929 G_L1: 7.045 D_real: 0.007 D_fake: 0.019 
(epoch: 14, iters: 18472, time: 0.073, data: 0.012) G_GAN: 0.930 G_L1: 6.428 D_real: 0.009 D_fake: 0.003 
(epoch: 14, iters: 18572, time: 0.072, data: 0.006) G_GAN: 0.969 G_L1: 7.579 D_real: 0.008 D_fake: 0.019 
(epoch: 14, iters: 18672, time: 0.074, data: 0.005) G_GAN: 0.669 G_L1: 6.574 D_real: 0.516 D_fake: 0.015 
(epoch: 14, iters: 18772, time: 0.071, data: 0.007) G_GAN: 1.181 G_L1: 8.211 D_real: 0.006 D_fake: 0.030 
(epoch: 14, iters: 18872, time: 0.073, data: 0.010) G_GAN: 1.015 G_L1: 6.425 D_real: 0.006 D_fake: 0.005 
(epoch: 14, iters: 18972, time: 0.072, data: 0.007) G_GAN: 0.949 G_L1: 7.683 D_real: 0.003 D_fake: 0.005 
(epoch: 14, iters: 19072, time: 0.072, data: 0.008) G_GAN: 1.069 G_L1: 7.420 D_real: 0.011 D_fake: 0.009 
(epoch: 14, iters: 19172, time: 0.073, data: 0.007) G_GAN: 0.939 G_L1: 7.176 D_real: 0.010 D_fake: 0.012 
(epoch: 14, iters: 19272, time: 0.072, data: 0.011) G_GAN: 0.844 G_L1: 7.194 D_real: 0.015 D_fake: 0.045 
(epoch: 14, iters: 19372, time: 0.072, data: 0.005) G_GAN: 0.971 G_L1: 7.170 D_real: 0.008 D_fake: 0.003 
(epoch: 14, iters: 19472, time: 0.072, data: 0.009) G_GAN: 0.969 G_L1: 7.609 D_real: 0.005 D_fake: 0.002 
(epoch: 14, iters: 19572, time: 0.071, data: 0.012) G_GAN: 1.160 G_L1: 8.080 D_real: 0.011 D_fake: 0.018 
(epoch: 14, iters: 19672, time: 0.072, data: 0.005) G_GAN: 0.897 G_L1: 6.991 D_real: 0.004 D_fake: 0.019 
(epoch: 14, iters: 19772, time: 0.071, data: 0.009) G_GAN: 0.995 G_L1: 7.212 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 19872, time: 0.165, data: 0.007) G_GAN: 1.022 G_L1: 6.763 D_real: 0.004 D_fake: 0.001 
(epoch: 14, iters: 19972, time: 0.072, data: 0.006) G_GAN: 0.912 G_L1: 7.197 D_real: 0.003 D_fake: 0.004 
(epoch: 14, iters: 20072, time: 0.073, data: 0.006) G_GAN: 0.934 G_L1: 7.610 D_real: 0.004 D_fake: 0.005 
(epoch: 14, iters: 20172, time: 0.071, data: 0.007) G_GAN: 1.033 G_L1: 7.172 D_real: 0.005 D_fake: 0.002 
(epoch: 14, iters: 20272, time: 0.074, data: 0.009) G_GAN: 0.944 G_L1: 7.066 D_real: 0.003 D_fake: 0.005 
(epoch: 14, iters: 20372, time: 0.074, data: 0.007) G_GAN: 0.998 G_L1: 6.247 D_real: 0.008 D_fake: 0.003 
(epoch: 14, iters: 20472, time: 0.073, data: 0.007) G_GAN: 1.068 G_L1: 8.041 D_real: 0.003 D_fake: 0.003 
(epoch: 14, iters: 20572, time: 0.072, data: 0.006) G_GAN: 1.034 G_L1: 6.153 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 20672, time: 0.072, data: 0.011) G_GAN: 0.952 G_L1: 6.368 D_real: 0.003 D_fake: 0.003 
(epoch: 14, iters: 20772, time: 0.070, data: 0.006) G_GAN: 1.050 G_L1: 6.777 D_real: 0.003 D_fake: 0.002 
(epoch: 14, iters: 20872, time: 0.072, data: 0.006) G_GAN: 1.002 G_L1: 7.479 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 20972, time: 0.072, data: 0.008) G_GAN: 1.032 G_L1: 6.484 D_real: 0.003 D_fake: 0.002 
(epoch: 14, iters: 21072, time: 0.072, data: 0.007) G_GAN: 0.983 G_L1: 6.691 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 21172, time: 0.074, data: 0.011) G_GAN: 0.989 G_L1: 6.486 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 21272, time: 0.071, data: 0.007) G_GAN: 0.977 G_L1: 7.870 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 21372, time: 0.072, data: 0.006) G_GAN: 1.042 G_L1: 5.811 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 21472, time: 0.072, data: 0.006) G_GAN: 0.956 G_L1: 7.964 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 21572, time: 0.073, data: 0.005) G_GAN: 1.035 G_L1: 5.962 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 21672, time: 0.072, data: 0.006) G_GAN: 1.015 G_L1: 6.934 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 21772, time: 0.071, data: 0.009) G_GAN: 0.960 G_L1: 6.656 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 21872, time: 0.160, data: 0.007) G_GAN: 0.970 G_L1: 7.225 D_real: 0.003 D_fake: 0.002 
(epoch: 14, iters: 21972, time: 0.073, data: 0.006) G_GAN: 0.973 G_L1: 5.765 D_real: 0.004 D_fake: 0.004 
(epoch: 14, iters: 22072, time: 0.073, data: 0.006) G_GAN: 0.970 G_L1: 7.277 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 22172, time: 0.073, data: 0.006) G_GAN: 1.000 G_L1: 6.218 D_real: 0.002 D_fake: 0.000 
(epoch: 14, iters: 22272, time: 0.072, data: 0.006) G_GAN: 0.975 G_L1: 6.587 D_real: 0.004 D_fake: 0.002 
(epoch: 14, iters: 22372, time: 0.072, data: 0.007) G_GAN: 1.009 G_L1: 7.990 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 22472, time: 0.072, data: 0.006) G_GAN: 0.971 G_L1: 8.461 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 22572, time: 0.073, data: 0.007) G_GAN: 1.099 G_L1: 6.384 D_real: 0.002 D_fake: 0.005 
(epoch: 14, iters: 22672, time: 0.073, data: 0.012) G_GAN: 1.101 G_L1: 6.477 D_real: 0.005 D_fake: 0.008 
(epoch: 14, iters: 22772, time: 0.073, data: 0.006) G_GAN: 0.996 G_L1: 7.009 D_real: 0.003 D_fake: 0.000 
(epoch: 14, iters: 22872, time: 0.073, data: 0.006) G_GAN: 0.948 G_L1: 7.134 D_real: 0.002 D_fake: 0.002 
saving the latest model (epoch 14, total_iters 645000)
(epoch: 14, iters: 22972, time: 0.074, data: 0.008) G_GAN: 1.002 G_L1: 7.406 D_real: 0.004 D_fake: 0.004 
(epoch: 14, iters: 23072, time: 0.073, data: 0.010) G_GAN: 1.002 G_L1: 5.873 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 23172, time: 0.073, data: 0.011) G_GAN: 0.980 G_L1: 7.479 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 23272, time: 0.072, data: 0.007) G_GAN: 1.002 G_L1: 7.284 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 23372, time: 0.072, data: 0.006) G_GAN: 0.945 G_L1: 6.322 D_real: 0.003 D_fake: 0.004 
(epoch: 14, iters: 23472, time: 0.073, data: 0.005) G_GAN: 1.010 G_L1: 6.368 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 23572, time: 0.072, data: 0.010) G_GAN: 0.990 G_L1: 6.574 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 23672, time: 0.069, data: 0.007) G_GAN: 0.991 G_L1: 6.362 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 23772, time: 0.071, data: 0.008) G_GAN: 0.980 G_L1: 7.867 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 23872, time: 0.181, data: 0.007) G_GAN: 1.041 G_L1: 6.191 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 23972, time: 0.070, data: 0.007) G_GAN: 1.007 G_L1: 7.758 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 24072, time: 0.070, data: 0.011) G_GAN: 0.961 G_L1: 6.734 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 24172, time: 0.073, data: 0.009) G_GAN: 1.009 G_L1: 6.218 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 24272, time: 0.072, data: 0.006) G_GAN: 0.986 G_L1: 7.036 D_real: 0.003 D_fake: 0.000 
(epoch: 14, iters: 24372, time: 0.073, data: 0.007) G_GAN: 1.002 G_L1: 7.749 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 24472, time: 0.072, data: 0.010) G_GAN: 1.009 G_L1: 6.821 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 24572, time: 0.070, data: 0.006) G_GAN: 1.006 G_L1: 5.929 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 24672, time: 0.072, data: 0.009) G_GAN: 0.979 G_L1: 6.509 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 24772, time: 0.073, data: 0.006) G_GAN: 0.988 G_L1: 7.564 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 24872, time: 0.073, data: 0.006) G_GAN: 1.107 G_L1: 5.432 D_real: 0.002 D_fake: 0.012 
(epoch: 14, iters: 24972, time: 0.073, data: 0.006) G_GAN: 0.994 G_L1: 6.627 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 25072, time: 0.072, data: 0.006) G_GAN: 1.014 G_L1: 6.011 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 25172, time: 0.073, data: 0.007) G_GAN: 0.997 G_L1: 5.956 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 25272, time: 0.072, data: 0.011) G_GAN: 1.029 G_L1: 6.978 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 25372, time: 0.071, data: 0.006) G_GAN: 1.045 G_L1: 5.572 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 25472, time: 0.072, data: 0.011) G_GAN: 0.990 G_L1: 6.566 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 25572, time: 0.071, data: 0.008) G_GAN: 0.984 G_L1: 6.113 D_real: 0.002 D_fake: 0.000 
(epoch: 14, iters: 25672, time: 0.072, data: 0.010) G_GAN: 1.010 G_L1: 5.866 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 25772, time: 0.073, data: 0.009) G_GAN: 1.026 G_L1: 6.494 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 25872, time: 0.159, data: 0.007) G_GAN: 1.000 G_L1: 6.898 D_real: 0.002 D_fake: 0.000 
(epoch: 14, iters: 25972, time: 0.073, data: 0.006) G_GAN: 0.998 G_L1: 7.496 D_real: 0.005 D_fake: 0.003 
(epoch: 14, iters: 26072, time: 0.072, data: 0.008) G_GAN: 1.041 G_L1: 5.694 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 26172, time: 0.073, data: 0.006) G_GAN: 0.965 G_L1: 6.356 D_real: 0.001 D_fake: 0.002 
(epoch: 14, iters: 26272, time: 0.074, data: 0.007) G_GAN: 0.975 G_L1: 5.702 D_real: 0.002 D_fake: 0.008 
(epoch: 14, iters: 26372, time: 0.072, data: 0.008) G_GAN: 1.017 G_L1: 6.154 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 26472, time: 0.073, data: 0.005) G_GAN: 0.979 G_L1: 7.174 D_real: 0.002 D_fake: 0.000 
(epoch: 14, iters: 26572, time: 0.073, data: 0.007) G_GAN: 0.991 G_L1: 7.673 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 26672, time: 0.073, data: 0.008) G_GAN: 1.008 G_L1: 7.105 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 26772, time: 0.073, data: 0.005) G_GAN: 0.997 G_L1: 5.379 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 26872, time: 0.073, data: 0.005) G_GAN: 0.976 G_L1: 5.996 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 26972, time: 0.072, data: 0.009) G_GAN: 0.998 G_L1: 6.341 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 27072, time: 0.071, data: 0.007) G_GAN: 0.957 G_L1: 5.882 D_real: 0.002 D_fake: 0.005 
(epoch: 14, iters: 27172, time: 0.071, data: 0.008) G_GAN: 0.995 G_L1: 6.692 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 27272, time: 0.074, data: 0.006) G_GAN: 0.983 G_L1: 5.668 D_real: 0.003 D_fake: 0.003 
(epoch: 14, iters: 27372, time: 0.072, data: 0.008) G_GAN: 0.986 G_L1: 6.764 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 27472, time: 0.071, data: 0.006) G_GAN: 1.015 G_L1: 6.299 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 27572, time: 0.072, data: 0.009) G_GAN: 0.984 G_L1: 7.826 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 27672, time: 0.073, data: 0.010) G_GAN: 1.027 G_L1: 6.452 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 27772, time: 0.072, data: 0.008) G_GAN: 0.985 G_L1: 5.683 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 27872, time: 0.162, data: 0.012) G_GAN: 1.001 G_L1: 6.763 D_real: 0.002 D_fake: 0.001 
saving the latest model (epoch 14, total_iters 650000)
(epoch: 14, iters: 27972, time: 0.076, data: 0.007) G_GAN: 0.954 G_L1: 7.052 D_real: 0.002 D_fake: 0.003 
(epoch: 14, iters: 28072, time: 0.073, data: 0.006) G_GAN: 0.983 G_L1: 7.055 D_real: 0.001 D_fake: 0.002 
(epoch: 14, iters: 28172, time: 0.072, data: 0.006) G_GAN: 0.988 G_L1: 7.124 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 28272, time: 0.074, data: 0.006) G_GAN: 0.953 G_L1: 7.575 D_real: 0.001 D_fake: 0.002 
(epoch: 14, iters: 28372, time: 0.074, data: 0.007) G_GAN: 0.991 G_L1: 6.715 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 28472, time: 0.073, data: 0.006) G_GAN: 0.982 G_L1: 7.547 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 28572, time: 0.072, data: 0.011) G_GAN: 0.988 G_L1: 6.558 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 28672, time: 0.072, data: 0.007) G_GAN: 0.987 G_L1: 7.706 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 28772, time: 0.071, data: 0.007) G_GAN: 0.980 G_L1: 6.105 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 28872, time: 0.073, data: 0.011) G_GAN: 0.985 G_L1: 6.473 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 28972, time: 0.071, data: 0.009) G_GAN: 1.011 G_L1: 6.124 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 29072, time: 0.073, data: 0.018) G_GAN: 0.986 G_L1: 7.529 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 29172, time: 0.072, data: 0.006) G_GAN: 1.007 G_L1: 6.526 D_real: 0.002 D_fake: 0.000 
(epoch: 14, iters: 29272, time: 0.074, data: 0.007) G_GAN: 0.972 G_L1: 6.910 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 29372, time: 0.072, data: 0.010) G_GAN: 0.969 G_L1: 7.054 D_real: 0.001 D_fake: 0.002 
(epoch: 14, iters: 29472, time: 0.072, data: 0.007) G_GAN: 0.988 G_L1: 7.296 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 29572, time: 0.072, data: 0.006) G_GAN: 0.986 G_L1: 6.843 D_real: 0.001 D_fake: 0.018 
(epoch: 14, iters: 29672, time: 0.071, data: 0.008) G_GAN: 1.006 G_L1: 7.579 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 29772, time: 0.073, data: 0.007) G_GAN: 0.992 G_L1: 6.483 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 29872, time: 0.160, data: 0.009) G_GAN: 1.016 G_L1: 7.077 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 29972, time: 0.073, data: 0.006) G_GAN: 1.031 G_L1: 6.684 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 30072, time: 0.071, data: 0.010) G_GAN: 1.002 G_L1: 6.680 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 30172, time: 0.073, data: 0.006) G_GAN: 0.979 G_L1: 7.443 D_real: 0.004 D_fake: 0.002 
(epoch: 14, iters: 30272, time: 0.073, data: 0.007) G_GAN: 0.993 G_L1: 7.828 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 30372, time: 0.074, data: 0.011) G_GAN: 1.023 G_L1: 8.329 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 30472, time: 0.073, data: 0.006) G_GAN: 0.993 G_L1: 6.217 D_real: 0.004 D_fake: 0.003 
(epoch: 14, iters: 30572, time: 0.073, data: 0.007) G_GAN: 1.001 G_L1: 6.601 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 30672, time: 0.073, data: 0.015) G_GAN: 0.997 G_L1: 6.306 D_real: 0.003 D_fake: 0.003 
(epoch: 14, iters: 30772, time: 0.072, data: 0.006) G_GAN: 1.007 G_L1: 7.426 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 30872, time: 0.073, data: 0.007) G_GAN: 1.001 G_L1: 7.839 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 30972, time: 0.070, data: 0.009) G_GAN: 1.036 G_L1: 6.316 D_real: 0.001 D_fake: 0.007 
(epoch: 14, iters: 31072, time: 0.071, data: 0.008) G_GAN: 0.975 G_L1: 6.260 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 31172, time: 0.072, data: 0.011) G_GAN: 1.007 G_L1: 6.388 D_real: 0.002 D_fake: 0.000 
(epoch: 14, iters: 31272, time: 0.071, data: 0.006) G_GAN: 0.986 G_L1: 5.758 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 31372, time: 0.076, data: 0.007) G_GAN: 1.001 G_L1: 7.555 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 31472, time: 0.071, data: 0.008) G_GAN: 1.014 G_L1: 6.704 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 31572, time: 0.073, data: 0.007) G_GAN: 0.992 G_L1: 6.773 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 31672, time: 0.074, data: 0.007) G_GAN: 0.989 G_L1: 6.181 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 31772, time: 0.073, data: 0.006) G_GAN: 0.986 G_L1: 7.816 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 31872, time: 0.162, data: 0.007) G_GAN: 1.014 G_L1: 7.031 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 31972, time: 0.073, data: 0.011) G_GAN: 1.029 G_L1: 6.279 D_real: 0.004 D_fake: 0.009 
(epoch: 14, iters: 32072, time: 0.074, data: 0.006) G_GAN: 0.994 G_L1: 5.799 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 32172, time: 0.073, data: 0.008) G_GAN: 0.989 G_L1: 6.914 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 32272, time: 0.073, data: 0.010) G_GAN: 0.954 G_L1: 6.496 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 32372, time: 0.074, data: 0.006) G_GAN: 1.017 G_L1: 6.163 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 32472, time: 0.074, data: 0.008) G_GAN: 0.993 G_L1: 6.515 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 32572, time: 0.070, data: 0.009) G_GAN: 1.034 G_L1: 5.460 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 32672, time: 0.073, data: 0.007) G_GAN: 0.954 G_L1: 6.062 D_real: 0.001 D_fake: 0.002 
(epoch: 14, iters: 32772, time: 0.074, data: 0.008) G_GAN: 1.032 G_L1: 6.262 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 32872, time: 0.072, data: 0.007) G_GAN: 0.988 G_L1: 6.893 D_real: 0.002 D_fake: 0.004 
saving the latest model (epoch 14, total_iters 655000)
(epoch: 14, iters: 32972, time: 0.070, data: 0.007) G_GAN: 0.991 G_L1: 7.840 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 33072, time: 0.073, data: 0.008) G_GAN: 1.005 G_L1: 6.233 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 33172, time: 0.073, data: 0.005) G_GAN: 1.001 G_L1: 7.661 D_real: 0.003 D_fake: 0.001 
(epoch: 14, iters: 33272, time: 0.074, data: 0.008) G_GAN: 0.990 G_L1: 6.124 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 33372, time: 0.073, data: 0.007) G_GAN: 0.991 G_L1: 6.617 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 33472, time: 0.072, data: 0.011) G_GAN: 1.008 G_L1: 6.218 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 33572, time: 0.073, data: 0.010) G_GAN: 0.992 G_L1: 6.291 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 33672, time: 0.073, data: 0.007) G_GAN: 1.021 G_L1: 5.239 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 33772, time: 0.072, data: 0.008) G_GAN: 1.059 G_L1: 6.039 D_real: 0.007 D_fake: 0.013 
(epoch: 14, iters: 33872, time: 0.161, data: 0.006) G_GAN: 0.992 G_L1: 6.097 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 33972, time: 0.073, data: 0.007) G_GAN: 0.991 G_L1: 7.983 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 34072, time: 0.071, data: 0.008) G_GAN: 0.999 G_L1: 6.194 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 34172, time: 0.072, data: 0.007) G_GAN: 0.989 G_L1: 6.713 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 34272, time: 0.073, data: 0.008) G_GAN: 0.991 G_L1: 7.720 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 34372, time: 0.072, data: 0.023) G_GAN: 1.021 G_L1: 7.072 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 34472, time: 0.073, data: 0.013) G_GAN: 0.992 G_L1: 5.512 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 34572, time: 0.072, data: 0.008) G_GAN: 1.003 G_L1: 7.228 D_real: 0.002 D_fake: 0.001 
(epoch: 14, iters: 34672, time: 0.073, data: 0.011) G_GAN: 0.998 G_L1: 6.054 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 34772, time: 0.073, data: 0.006) G_GAN: 0.978 G_L1: 5.982 D_real: 0.003 D_fake: 0.003 
(epoch: 14, iters: 34872, time: 0.073, data: 0.009) G_GAN: 0.994 G_L1: 6.181 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 34972, time: 0.074, data: 0.007) G_GAN: 0.992 G_L1: 6.463 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 35072, time: 0.073, data: 0.009) G_GAN: 0.982 G_L1: 7.591 D_real: 0.001 D_fake: 0.002 
(epoch: 14, iters: 35172, time: 0.072, data: 0.007) G_GAN: 1.004 G_L1: 8.029 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 35272, time: 0.072, data: 0.006) G_GAN: 0.986 G_L1: 7.790 D_real: 0.001 D_fake: 0.002 
(epoch: 14, iters: 35372, time: 0.073, data: 0.007) G_GAN: 1.005 G_L1: 5.498 D_real: 0.001 D_fake: 0.001 
(epoch: 14, iters: 35472, time: 0.073, data: 0.007) G_GAN: 0.995 G_L1: 6.222 D_real: 0.001 D_fake: 0.000 
(epoch: 14, iters: 35572, time: 0.074, data: 0.006) G_GAN: 1.002 G_L1: 6.609 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 35672, time: 0.073, data: 0.009) G_GAN: 0.966 G_L1: 5.847 D_real: 0.002 D_fake: 0.002 
(epoch: 14, iters: 35772, time: 0.072, data: 0.007) G_GAN: 0.958 G_L1: 5.471 D_real: 0.006 D_fake: 0.002 
(epoch: 14, iters: 35872, time: 0.173, data: 0.010) G_GAN: 0.393 G_L1: 5.867 D_real: 0.147 D_fake: 0.139 
(epoch: 14, iters: 35972, time: 0.074, data: 0.007) G_GAN: 0.498 G_L1: 7.167 D_real: 0.052 D_fake: 0.112 
(epoch: 14, iters: 36072, time: 0.072, data: 0.006) G_GAN: 0.659 G_L1: 7.114 D_real: 0.013 D_fake: 0.185 
(epoch: 14, iters: 36172, time: 0.071, data: 0.013) G_GAN: 0.626 G_L1: 6.996 D_real: 0.024 D_fake: 0.106 
(epoch: 14, iters: 36272, time: 0.072, data: 0.006) G_GAN: 0.981 G_L1: 6.421 D_real: 0.029 D_fake: 0.007 
(epoch: 14, iters: 36372, time: 0.072, data: 0.010) G_GAN: 0.970 G_L1: 6.601 D_real: 0.015 D_fake: 0.154 
(epoch: 14, iters: 36472, time: 0.072, data: 0.009) G_GAN: 0.953 G_L1: 6.957 D_real: 0.011 D_fake: 0.014 
(epoch: 14, iters: 36572, time: 0.071, data: 0.011) G_GAN: 0.889 G_L1: 6.962 D_real: 0.004 D_fake: 0.034 
(epoch: 14, iters: 36672, time: 0.070, data: 0.009) G_GAN: 0.773 G_L1: 7.773 D_real: 0.014 D_fake: 0.164 
(epoch: 14, iters: 36772, time: 0.073, data: 0.007) G_GAN: 0.911 G_L1: 8.178 D_real: 0.010 D_fake: 0.043 
(epoch: 14, iters: 36872, time: 0.073, data: 0.010) G_GAN: 1.113 G_L1: 7.703 D_real: 0.012 D_fake: 0.021 
(epoch: 14, iters: 36972, time: 0.070, data: 0.007) G_GAN: 1.103 G_L1: 7.647 D_real: 0.008 D_fake: 0.004 
(epoch: 14, iters: 37072, time: 0.073, data: 0.008) G_GAN: 1.090 G_L1: 7.207 D_real: 0.003 D_fake: 0.007 
(epoch: 14, iters: 37172, time: 0.072, data: 0.006) G_GAN: 1.085 G_L1: 6.071 D_real: 0.006 D_fake: 0.014 
(epoch: 14, iters: 37272, time: 0.072, data: 0.007) G_GAN: 0.795 G_L1: 6.868 D_real: 0.133 D_fake: 0.004 
(epoch: 14, iters: 37372, time: 0.072, data: 0.006) G_GAN: 1.163 G_L1: 8.176 D_real: 0.004 D_fake: 0.014 
(epoch: 14, iters: 37472, time: 0.071, data: 0.009) G_GAN: 1.071 G_L1: 7.363 D_real: 0.004 D_fake: 0.004 
(epoch: 14, iters: 37572, time: 0.071, data: 0.007) G_GAN: 1.018 G_L1: 7.698 D_real: 0.003 D_fake: 0.007 
(epoch: 14, iters: 37672, time: 0.073, data: 0.006) G_GAN: 1.147 G_L1: 6.846 D_real: 0.030 D_fake: 0.022 
(epoch: 14, iters: 37772, time: 0.069, data: 0.010) G_GAN: 0.951 G_L1: 6.888 D_real: 0.046 D_fake: 0.004 
(epoch: 14, iters: 37872, time: 0.162, data: 0.011) G_GAN: 0.985 G_L1: 8.021 D_real: 0.004 D_fake: 0.003 
saving the latest model (epoch 14, total_iters 660000)
(epoch: 14, iters: 37972, time: 0.072, data: 0.008) G_GAN: 1.218 G_L1: 8.160 D_real: 0.023 D_fake: 0.030 
(epoch: 14, iters: 38072, time: 0.072, data: 0.010) G_GAN: 1.137 G_L1: 6.578 D_real: 0.030 D_fake: 0.552 
(epoch: 14, iters: 38172, time: 0.073, data: 0.007) G_GAN: 1.083 G_L1: 7.827 D_real: 0.006 D_fake: 0.093 
(epoch: 14, iters: 38272, time: 0.070, data: 0.006) G_GAN: 1.013 G_L1: 7.588 D_real: 0.015 D_fake: 0.018 
(epoch: 14, iters: 38372, time: 0.071, data: 0.010) G_GAN: 0.887 G_L1: 6.760 D_real: 0.029 D_fake: 0.011 
(epoch: 14, iters: 38472, time: 0.074, data: 0.011) G_GAN: 0.931 G_L1: 7.396 D_real: 0.017 D_fake: 0.006 
(epoch: 14, iters: 38572, time: 0.072, data: 0.006) G_GAN: 0.908 G_L1: 7.397 D_real: 0.009 D_fake: 0.008 
(epoch: 14, iters: 38672, time: 0.072, data: 0.009) G_GAN: 1.090 G_L1: 8.005 D_real: 0.016 D_fake: 0.015 
(epoch: 14, iters: 38772, time: 0.074, data: 0.006) G_GAN: 0.975 G_L1: 7.463 D_real: 0.051 D_fake: 0.013 
(epoch: 14, iters: 38872, time: 0.073, data: 0.008) G_GAN: 0.997 G_L1: 8.834 D_real: 0.007 D_fake: 0.010 
(epoch: 14, iters: 38972, time: 0.073, data: 0.007) G_GAN: 1.061 G_L1: 7.831 D_real: 0.008 D_fake: 0.214 
(epoch: 14, iters: 39072, time: 0.073, data: 0.008) G_GAN: 1.034 G_L1: 8.290 D_real: 0.006 D_fake: 0.005 
(epoch: 14, iters: 39172, time: 0.074, data: 0.006) G_GAN: 0.906 G_L1: 6.769 D_real: 0.005 D_fake: 0.019 
(epoch: 14, iters: 39272, time: 0.072, data: 0.006) G_GAN: 0.807 G_L1: 7.570 D_real: 0.007 D_fake: 0.045 
(epoch: 14, iters: 39372, time: 0.074, data: 0.009) G_GAN: 0.981 G_L1: 7.027 D_real: 0.105 D_fake: 0.014 
(epoch: 14, iters: 39472, time: 0.073, data: 0.006) G_GAN: 0.864 G_L1: 6.913 D_real: 0.007 D_fake: 0.004 
(epoch: 14, iters: 39572, time: 0.074, data: 0.007) G_GAN: 1.026 G_L1: 7.829 D_real: 0.005 D_fake: 0.137 
(epoch: 14, iters: 39672, time: 0.072, data: 0.006) G_GAN: 0.919 G_L1: 7.361 D_real: 0.016 D_fake: 0.005 
(epoch: 14, iters: 39772, time: 0.072, data: 0.009) G_GAN: 1.315 G_L1: 8.041 D_real: 0.008 D_fake: 0.038 
(epoch: 14, iters: 39872, time: 0.166, data: 0.007) G_GAN: 0.926 G_L1: 7.445 D_real: 0.006 D_fake: 0.009 
(epoch: 14, iters: 39972, time: 0.074, data: 0.008) G_GAN: 0.820 G_L1: 8.218 D_real: 0.006 D_fake: 0.069 
(epoch: 14, iters: 40072, time: 0.069, data: 0.008) G_GAN: 0.827 G_L1: 7.234 D_real: 0.047 D_fake: 0.010 
(epoch: 14, iters: 40172, time: 0.072, data: 0.011) G_GAN: 1.224 G_L1: 8.374 D_real: 0.018 D_fake: 0.025 
(epoch: 14, iters: 40272, time: 0.072, data: 0.012) G_GAN: 0.987 G_L1: 7.748 D_real: 0.131 D_fake: 0.016 
(epoch: 14, iters: 40372, time: 0.072, data: 0.009) G_GAN: 0.803 G_L1: 6.981 D_real: 0.005 D_fake: 0.024 
(epoch: 14, iters: 40472, time: 0.072, data: 0.009) G_GAN: 0.815 G_L1: 7.812 D_real: 0.007 D_fake: 0.042 
(epoch: 14, iters: 40572, time: 0.072, data: 0.006) G_GAN: 0.792 G_L1: 5.744 D_real: 0.052 D_fake: 0.006 
(epoch: 14, iters: 40672, time: 0.073, data: 0.005) G_GAN: 0.976 G_L1: 7.976 D_real: 0.004 D_fake: 0.004 
(epoch: 14, iters: 40772, time: 0.074, data: 0.007) G_GAN: 0.844 G_L1: 7.983 D_real: 0.006 D_fake: 0.028 
(epoch: 14, iters: 40872, time: 0.072, data: 0.007) G_GAN: 1.020 G_L1: 8.848 D_real: 0.008 D_fake: 0.014 
(epoch: 14, iters: 40972, time: 0.076, data: 0.011) G_GAN: 0.973 G_L1: 6.819 D_real: 0.006 D_fake: 0.030 
(epoch: 14, iters: 41072, time: 0.073, data: 0.007) G_GAN: 1.095 G_L1: 7.286 D_real: 0.272 D_fake: 0.010 
(epoch: 14, iters: 41172, time: 0.073, data: 0.010) G_GAN: 1.484 G_L1: 7.241 D_real: 0.018 D_fake: 0.350 
(epoch: 14, iters: 41272, time: 0.074, data: 0.007) G_GAN: 0.913 G_L1: 8.198 D_real: 0.008 D_fake: 0.011 
(epoch: 14, iters: 41372, time: 0.073, data: 0.008) G_GAN: 0.970 G_L1: 7.809 D_real: 0.005 D_fake: 0.028 
(epoch: 14, iters: 41472, time: 0.074, data: 0.011) G_GAN: 0.904 G_L1: 6.885 D_real: 0.012 D_fake: 0.035 
(epoch: 14, iters: 41572, time: 0.071, data: 0.007) G_GAN: 0.847 G_L1: 6.766 D_real: 0.022 D_fake: 0.005 
(epoch: 14, iters: 41672, time: 0.073, data: 0.009) G_GAN: 0.983 G_L1: 8.231 D_real: 0.006 D_fake: 0.168 
(epoch: 14, iters: 41772, time: 0.069, data: 0.010) G_GAN: 1.036 G_L1: 8.229 D_real: 0.028 D_fake: 0.009 
(epoch: 14, iters: 41872, time: 0.163, data: 0.007) G_GAN: 1.142 G_L1: 7.458 D_real: 0.007 D_fake: 0.008 
(epoch: 14, iters: 41972, time: 0.072, data: 0.008) G_GAN: 0.887 G_L1: 7.074 D_real: 0.012 D_fake: 0.039 
(epoch: 14, iters: 42072, time: 0.074, data: 0.007) G_GAN: 0.688 G_L1: 7.737 D_real: 0.024 D_fake: 0.006 
(epoch: 14, iters: 42172, time: 0.073, data: 0.007) G_GAN: 0.766 G_L1: 7.281 D_real: 0.062 D_fake: 0.015 
(epoch: 14, iters: 42272, time: 0.074, data: 0.006) G_GAN: 0.965 G_L1: 8.362 D_real: 0.007 D_fake: 0.054 
(epoch: 14, iters: 42372, time: 0.070, data: 0.009) G_GAN: 1.007 G_L1: 6.738 D_real: 0.009 D_fake: 0.014 
(epoch: 14, iters: 42472, time: 0.071, data: 0.006) G_GAN: 0.749 G_L1: 7.943 D_real: 0.020 D_fake: 0.008 
(epoch: 14, iters: 42572, time: 0.069, data: 0.007) G_GAN: 0.851 G_L1: 7.639 D_real: 0.024 D_fake: 0.004 
(epoch: 14, iters: 42672, time: 0.073, data: 0.006) G_GAN: 0.767 G_L1: 7.999 D_real: 0.008 D_fake: 0.004 
(epoch: 14, iters: 42772, time: 0.072, data: 0.006) G_GAN: 0.858 G_L1: 7.389 D_real: 0.097 D_fake: 0.003 
(epoch: 14, iters: 42872, time: 0.072, data: 0.012) G_GAN: 0.991 G_L1: 8.865 D_real: 0.006 D_fake: 0.066 
saving the latest model (epoch 14, total_iters 665000)
(epoch: 14, iters: 42972, time: 0.073, data: 0.008) G_GAN: 1.023 G_L1: 8.375 D_real: 0.007 D_fake: 0.082 
(epoch: 14, iters: 43072, time: 0.072, data: 0.016) G_GAN: 1.122 G_L1: 7.508 D_real: 0.017 D_fake: 0.026 
(epoch: 14, iters: 43172, time: 0.070, data: 0.015) G_GAN: 0.974 G_L1: 7.865 D_real: 0.047 D_fake: 0.004 
(epoch: 14, iters: 43272, time: 0.072, data: 0.011) G_GAN: 0.996 G_L1: 7.019 D_real: 0.013 D_fake: 0.008 
(epoch: 14, iters: 43372, time: 0.071, data: 0.007) G_GAN: 1.206 G_L1: 8.670 D_real: 0.022 D_fake: 0.036 
(epoch: 14, iters: 43472, time: 0.072, data: 0.007) G_GAN: 0.673 G_L1: 6.798 D_real: 0.045 D_fake: 0.005 
(epoch: 14, iters: 43572, time: 0.070, data: 0.006) G_GAN: 0.876 G_L1: 7.261 D_real: 0.059 D_fake: 0.015 
(epoch: 14, iters: 43672, time: 0.073, data: 0.009) G_GAN: 0.800 G_L1: 7.553 D_real: 0.015 D_fake: 0.006 
(epoch: 14, iters: 43772, time: 0.074, data: 0.005) G_GAN: 0.377 G_L1: 6.908 D_real: 0.160 D_fake: 0.034 
(epoch: 14, iters: 43872, time: 0.161, data: 0.009) G_GAN: 1.041 G_L1: 8.397 D_real: 0.029 D_fake: 0.039 
(epoch: 14, iters: 43972, time: 0.073, data: 0.007) G_GAN: 0.642 G_L1: 7.573 D_real: 0.053 D_fake: 0.060 
(epoch: 14, iters: 44072, time: 0.073, data: 0.007) G_GAN: 1.014 G_L1: 8.051 D_real: 0.027 D_fake: 0.007 
(epoch: 14, iters: 44172, time: 0.072, data: 0.008) G_GAN: 0.892 G_L1: 8.930 D_real: 0.151 D_fake: 0.033 
(epoch: 14, iters: 44272, time: 0.072, data: 0.007) G_GAN: 0.843 G_L1: 7.289 D_real: 0.016 D_fake: 0.012 
(epoch: 14, iters: 44372, time: 0.071, data: 0.008) G_GAN: 0.869 G_L1: 8.154 D_real: 0.019 D_fake: 0.051 
(epoch: 14, iters: 44472, time: 0.072, data: 0.007) G_GAN: 1.072 G_L1: 8.677 D_real: 0.008 D_fake: 0.044 
(epoch: 14, iters: 44572, time: 0.073, data: 0.007) G_GAN: 0.952 G_L1: 6.888 D_real: 0.014 D_fake: 0.015 
(epoch: 14, iters: 44672, time: 0.073, data: 0.009) G_GAN: 0.905 G_L1: 6.521 D_real: 0.007 D_fake: 0.051 
(epoch: 14, iters: 44772, time: 0.071, data: 0.007) G_GAN: 1.059 G_L1: 7.843 D_real: 0.015 D_fake: 0.009 
(epoch: 14, iters: 44872, time: 0.073, data: 0.007) G_GAN: 0.986 G_L1: 7.293 D_real: 0.017 D_fake: 0.015 
(epoch: 14, iters: 44972, time: 0.073, data: 0.009) G_GAN: 0.701 G_L1: 6.666 D_real: 0.098 D_fake: 0.023 
(epoch: 14, iters: 45072, time: 0.072, data: 0.011) G_GAN: 0.993 G_L1: 8.317 D_real: 0.033 D_fake: 0.004 
(epoch: 14, iters: 45172, time: 0.073, data: 0.007) G_GAN: 0.741 G_L1: 6.585 D_real: 0.132 D_fake: 0.005 
(epoch: 14, iters: 45272, time: 0.071, data: 0.006) G_GAN: 1.287 G_L1: 7.780 D_real: 0.006 D_fake: 0.038 
(epoch: 14, iters: 45372, time: 0.072, data: 0.008) G_GAN: 0.793 G_L1: 7.620 D_real: 0.146 D_fake: 0.007 
(epoch: 14, iters: 45472, time: 0.073, data: 0.008) G_GAN: 0.923 G_L1: 7.894 D_real: 0.007 D_fake: 0.077 
(epoch: 14, iters: 45572, time: 0.072, data: 0.006) G_GAN: 0.869 G_L1: 6.907 D_real: 0.016 D_fake: 0.004 
(epoch: 14, iters: 45672, time: 0.072, data: 0.008) G_GAN: 0.909 G_L1: 7.278 D_real: 0.009 D_fake: 0.047 
(epoch: 14, iters: 45772, time: 0.072, data: 0.011) G_GAN: 0.724 G_L1: 7.770 D_real: 0.006 D_fake: 0.129 
(epoch: 14, iters: 45872, time: 0.170, data: 0.007) G_GAN: 1.178 G_L1: 7.778 D_real: 0.023 D_fake: 0.031 
(epoch: 14, iters: 45972, time: 0.072, data: 0.007) G_GAN: 0.880 G_L1: 7.912 D_real: 0.045 D_fake: 0.015 
(epoch: 14, iters: 46072, time: 0.074, data: 0.008) G_GAN: 1.050 G_L1: 7.964 D_real: 0.033 D_fake: 0.013 
(epoch: 14, iters: 46172, time: 0.072, data: 0.013) G_GAN: 0.964 G_L1: 7.412 D_real: 0.015 D_fake: 0.011 
(epoch: 14, iters: 46272, time: 0.074, data: 0.007) G_GAN: 0.893 G_L1: 7.992 D_real: 0.018 D_fake: 0.100 
(epoch: 14, iters: 46372, time: 0.073, data: 0.010) G_GAN: 0.905 G_L1: 7.641 D_real: 0.028 D_fake: 0.009 
(epoch: 14, iters: 46472, time: 0.072, data: 0.006) G_GAN: 0.666 G_L1: 7.838 D_real: 0.363 D_fake: 0.060 
(epoch: 14, iters: 46572, time: 0.074, data: 0.008) G_GAN: 0.647 G_L1: 6.400 D_real: 0.195 D_fake: 0.009 
(epoch: 14, iters: 46672, time: 0.072, data: 0.006) G_GAN: 0.889 G_L1: 7.156 D_real: 0.028 D_fake: 0.023 
(epoch: 14, iters: 46772, time: 0.073, data: 0.005) G_GAN: 0.889 G_L1: 7.391 D_real: 0.013 D_fake: 0.022 
(epoch: 14, iters: 46872, time: 0.073, data: 0.006) G_GAN: 0.964 G_L1: 7.442 D_real: 0.014 D_fake: 0.021 
(epoch: 14, iters: 46972, time: 0.071, data: 0.011) G_GAN: 1.036 G_L1: 7.693 D_real: 0.010 D_fake: 0.016 
(epoch: 14, iters: 47072, time: 0.073, data: 0.010) G_GAN: 0.922 G_L1: 9.004 D_real: 0.011 D_fake: 0.007 
(epoch: 14, iters: 47172, time: 0.071, data: 0.009) G_GAN: 1.022 G_L1: 8.020 D_real: 0.055 D_fake: 0.008 
(epoch: 14, iters: 47272, time: 0.073, data: 0.008) G_GAN: 0.887 G_L1: 7.682 D_real: 0.010 D_fake: 0.006 
(epoch: 14, iters: 47372, time: 0.072, data: 0.011) G_GAN: 1.055 G_L1: 7.970 D_real: 0.027 D_fake: 0.026 
(epoch: 14, iters: 47472, time: 0.072, data: 0.007) G_GAN: 0.977 G_L1: 9.246 D_real: 0.013 D_fake: 0.023 
(epoch: 14, iters: 47572, time: 0.073, data: 0.006) G_GAN: 1.061 G_L1: 7.285 D_real: 0.011 D_fake: 0.013 
(epoch: 14, iters: 47672, time: 0.072, data: 0.010) G_GAN: 0.556 G_L1: 6.002 D_real: 0.140 D_fake: 0.029 
(epoch: 14, iters: 47772, time: 0.073, data: 0.006) G_GAN: 1.033 G_L1: 8.177 D_real: 0.006 D_fake: 0.011 
saving the model at the end of epoch 14, iters 669984
End of epoch 14 / 20 	 Time Taken: 1975 sec
learning rate 0.0002000 -> 0.0002000
(epoch: 15, iters: 16, time: 0.181, data: 0.007) G_GAN: 0.837 G_L1: 7.913 D_real: 0.076 D_fake: 0.012 
saving the latest model (epoch 15, total_iters 670000)
(epoch: 15, iters: 116, time: 0.070, data: 0.008) G_GAN: 0.814 G_L1: 8.458 D_real: 0.034 D_fake: 0.015 
(epoch: 15, iters: 216, time: 0.071, data: 0.007) G_GAN: 0.988 G_L1: 7.293 D_real: 0.006 D_fake: 0.069 
(epoch: 15, iters: 316, time: 0.072, data: 0.007) G_GAN: 1.272 G_L1: 7.726 D_real: 0.007 D_fake: 0.140 
(epoch: 15, iters: 416, time: 0.071, data: 0.007) G_GAN: 0.548 G_L1: 7.902 D_real: 0.187 D_fake: 0.008 
(epoch: 15, iters: 516, time: 0.071, data: 0.007) G_GAN: 0.882 G_L1: 8.560 D_real: 0.015 D_fake: 0.020 
(epoch: 15, iters: 616, time: 0.069, data: 0.011) G_GAN: 0.990 G_L1: 7.090 D_real: 0.007 D_fake: 0.036 
(epoch: 15, iters: 716, time: 0.069, data: 0.007) G_GAN: 0.898 G_L1: 8.559 D_real: 0.009 D_fake: 0.037 
(epoch: 15, iters: 816, time: 0.067, data: 0.006) G_GAN: 0.909 G_L1: 7.412 D_real: 0.009 D_fake: 0.142 
(epoch: 15, iters: 916, time: 0.072, data: 0.007) G_GAN: 1.028 G_L1: 8.093 D_real: 0.131 D_fake: 0.028 
(epoch: 15, iters: 1016, time: 0.069, data: 0.009) G_GAN: 0.971 G_L1: 7.286 D_real: 0.020 D_fake: 0.028 
(epoch: 15, iters: 1116, time: 0.071, data: 0.006) G_GAN: 1.050 G_L1: 8.225 D_real: 0.073 D_fake: 0.027 
(epoch: 15, iters: 1216, time: 0.067, data: 0.006) G_GAN: 1.152 G_L1: 8.448 D_real: 0.011 D_fake: 0.014 
(epoch: 15, iters: 1316, time: 0.068, data: 0.008) G_GAN: 1.178 G_L1: 7.727 D_real: 0.010 D_fake: 0.010 
(epoch: 15, iters: 1416, time: 0.072, data: 0.009) G_GAN: 0.983 G_L1: 8.827 D_real: 0.039 D_fake: 0.023 
(epoch: 15, iters: 1516, time: 0.071, data: 0.006) G_GAN: 1.071 G_L1: 8.434 D_real: 0.020 D_fake: 0.008 
(epoch: 15, iters: 1616, time: 0.071, data: 0.008) G_GAN: 0.997 G_L1: 9.053 D_real: 0.010 D_fake: 0.008 
(epoch: 15, iters: 1716, time: 0.068, data: 0.007) G_GAN: 1.168 G_L1: 8.697 D_real: 0.019 D_fake: 0.016 
(epoch: 15, iters: 1816, time: 0.072, data: 0.010) G_GAN: 1.127 G_L1: 9.081 D_real: 0.034 D_fake: 0.024 
(epoch: 15, iters: 1916, time: 0.068, data: 0.006) G_GAN: 0.915 G_L1: 7.762 D_real: 0.073 D_fake: 0.013 
(epoch: 15, iters: 2016, time: 0.164, data: 0.006) G_GAN: 1.021 G_L1: 8.014 D_real: 0.007 D_fake: 0.006 
(epoch: 15, iters: 2116, time: 0.069, data: 0.010) G_GAN: 1.107 G_L1: 8.315 D_real: 0.016 D_fake: 0.013 
(epoch: 15, iters: 2216, time: 0.072, data: 0.006) G_GAN: 0.554 G_L1: 6.629 D_real: 0.107 D_fake: 0.019 
(epoch: 15, iters: 2316, time: 0.071, data: 0.007) G_GAN: 0.847 G_L1: 8.054 D_real: 0.011 D_fake: 0.012 
(epoch: 15, iters: 2416, time: 0.070, data: 0.008) G_GAN: 1.043 G_L1: 7.009 D_real: 0.019 D_fake: 0.455 
(epoch: 15, iters: 2516, time: 0.069, data: 0.008) G_GAN: 1.063 G_L1: 8.809 D_real: 0.010 D_fake: 0.007 
(epoch: 15, iters: 2616, time: 0.069, data: 0.007) G_GAN: 0.987 G_L1: 8.140 D_real: 0.016 D_fake: 0.034 
(epoch: 15, iters: 2716, time: 0.069, data: 0.006) G_GAN: 1.077 G_L1: 7.125 D_real: 0.028 D_fake: 0.022 
(epoch: 15, iters: 2816, time: 0.068, data: 0.012) G_GAN: 0.975 G_L1: 8.311 D_real: 0.018 D_fake: 0.024 
(epoch: 15, iters: 2916, time: 0.071, data: 0.007) G_GAN: 0.819 G_L1: 8.370 D_real: 0.083 D_fake: 0.118 
(epoch: 15, iters: 3016, time: 0.069, data: 0.007) G_GAN: 0.764 G_L1: 8.110 D_real: 0.099 D_fake: 0.006 
(epoch: 15, iters: 3116, time: 0.072, data: 0.006) G_GAN: 0.857 G_L1: 7.936 D_real: 0.015 D_fake: 0.021 
(epoch: 15, iters: 3216, time: 0.072, data: 0.008) G_GAN: 0.932 G_L1: 8.120 D_real: 0.018 D_fake: 0.017 
(epoch: 15, iters: 3316, time: 0.069, data: 0.011) G_GAN: 0.698 G_L1: 8.110 D_real: 0.032 D_fake: 0.012 
(epoch: 15, iters: 3416, time: 0.067, data: 0.007) G_GAN: 1.211 G_L1: 8.885 D_real: 0.020 D_fake: 0.008 
(epoch: 15, iters: 3516, time: 0.069, data: 0.007) G_GAN: 1.009 G_L1: 8.096 D_real: 0.011 D_fake: 0.011 
(epoch: 15, iters: 3616, time: 0.070, data: 0.006) G_GAN: 1.008 G_L1: 6.640 D_real: 0.006 D_fake: 0.004 
(epoch: 15, iters: 3716, time: 0.068, data: 0.012) G_GAN: 0.944 G_L1: 7.108 D_real: 0.010 D_fake: 0.005 
(epoch: 15, iters: 3816, time: 0.073, data: 0.008) G_GAN: 0.954 G_L1: 6.945 D_real: 0.005 D_fake: 0.006 
(epoch: 15, iters: 3916, time: 0.070, data: 0.008) G_GAN: 1.053 G_L1: 7.111 D_real: 0.007 D_fake: 0.010 
(epoch: 15, iters: 4016, time: 0.174, data: 0.009) G_GAN: 1.007 G_L1: 6.510 D_real: 0.004 D_fake: 0.002 
(epoch: 15, iters: 4116, time: 0.070, data: 0.007) G_GAN: 1.031 G_L1: 7.044 D_real: 0.004 D_fake: 0.003 
(epoch: 15, iters: 4216, time: 0.071, data: 0.007) G_GAN: 1.056 G_L1: 8.158 D_real: 0.006 D_fake: 0.003 
(epoch: 15, iters: 4316, time: 0.068, data: 0.008) G_GAN: 1.028 G_L1: 7.142 D_real: 0.004 D_fake: 0.002 
(epoch: 15, iters: 4416, time: 0.068, data: 0.009) G_GAN: 0.986 G_L1: 7.665 D_real: 0.005 D_fake: 0.005 
(epoch: 15, iters: 4516, time: 0.070, data: 0.006) G_GAN: 1.011 G_L1: 5.872 D_real: 0.005 D_fake: 0.002 
(epoch: 15, iters: 4616, time: 0.067, data: 0.010) G_GAN: 1.005 G_L1: 7.127 D_real: 0.005 D_fake: 0.002 
(epoch: 15, iters: 4716, time: 0.069, data: 0.013) G_GAN: 1.010 G_L1: 7.594 D_real: 0.006 D_fake: 0.002 
(epoch: 15, iters: 4816, time: 0.073, data: 0.007) G_GAN: 1.050 G_L1: 8.256 D_real: 0.004 D_fake: 0.006 
(epoch: 15, iters: 4916, time: 0.070, data: 0.010) G_GAN: 0.984 G_L1: 7.027 D_real: 0.004 D_fake: 0.002 
(epoch: 15, iters: 5016, time: 0.070, data: 0.010) G_GAN: 1.007 G_L1: 6.097 D_real: 0.004 D_fake: 0.003 
saving the latest model (epoch 15, total_iters 675000)
(epoch: 15, iters: 5116, time: 0.069, data: 0.010) G_GAN: 0.993 G_L1: 6.387 D_real: 0.005 D_fake: 0.002 
(epoch: 15, iters: 5216, time: 0.071, data: 0.012) G_GAN: 1.024 G_L1: 6.628 D_real: 0.004 D_fake: 0.005 
(epoch: 15, iters: 5316, time: 0.071, data: 0.006) G_GAN: 1.033 G_L1: 6.562 D_real: 0.004 D_fake: 0.002 
(epoch: 15, iters: 5416, time: 0.071, data: 0.006) G_GAN: 0.982 G_L1: 7.529 D_real: 0.004 D_fake: 0.004 
(epoch: 15, iters: 5516, time: 0.072, data: 0.006) G_GAN: 0.944 G_L1: 5.909 D_real: 0.004 D_fake: 0.005 
(epoch: 15, iters: 5616, time: 0.071, data: 0.011) G_GAN: 1.029 G_L1: 7.070 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 5716, time: 0.070, data: 0.010) G_GAN: 0.989 G_L1: 6.801 D_real: 0.003 D_fake: 0.010 
(epoch: 15, iters: 5816, time: 0.071, data: 0.006) G_GAN: 0.973 G_L1: 6.524 D_real: 0.006 D_fake: 0.006 
(epoch: 15, iters: 5916, time: 0.071, data: 0.007) G_GAN: 0.989 G_L1: 7.391 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 6016, time: 0.165, data: 0.007) G_GAN: 0.995 G_L1: 6.778 D_real: 0.004 D_fake: 0.002 
(epoch: 15, iters: 6116, time: 0.069, data: 0.005) G_GAN: 1.001 G_L1: 6.867 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 6216, time: 0.068, data: 0.007) G_GAN: 1.020 G_L1: 7.029 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 6316, time: 0.071, data: 0.007) G_GAN: 1.001 G_L1: 6.968 D_real: 0.003 D_fake: 0.002 
(epoch: 15, iters: 6416, time: 0.068, data: 0.008) G_GAN: 0.951 G_L1: 6.674 D_real: 0.003 D_fake: 0.009 
(epoch: 15, iters: 6516, time: 0.071, data: 0.011) G_GAN: 0.987 G_L1: 7.069 D_real: 0.004 D_fake: 0.009 
(epoch: 15, iters: 6616, time: 0.069, data: 0.008) G_GAN: 1.087 G_L1: 6.585 D_real: 0.004 D_fake: 0.011 
(epoch: 15, iters: 6716, time: 0.069, data: 0.007) G_GAN: 1.041 G_L1: 5.726 D_real: 0.004 D_fake: 0.002 
(epoch: 15, iters: 6816, time: 0.071, data: 0.022) G_GAN: 0.988 G_L1: 6.431 D_real: 0.004 D_fake: 0.001 
(epoch: 15, iters: 6916, time: 0.072, data: 0.008) G_GAN: 0.990 G_L1: 7.683 D_real: 0.004 D_fake: 0.001 
(epoch: 15, iters: 7016, time: 0.072, data: 0.007) G_GAN: 0.979 G_L1: 6.490 D_real: 0.003 D_fake: 0.002 
(epoch: 15, iters: 7116, time: 0.072, data: 0.008) G_GAN: 0.986 G_L1: 6.556 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 7216, time: 0.072, data: 0.011) G_GAN: 0.966 G_L1: 6.250 D_real: 0.002 D_fake: 0.002 
(epoch: 15, iters: 7316, time: 0.070, data: 0.007) G_GAN: 0.980 G_L1: 5.721 D_real: 0.004 D_fake: 0.002 
(epoch: 15, iters: 7416, time: 0.069, data: 0.006) G_GAN: 1.001 G_L1: 8.319 D_real: 0.003 D_fake: 0.004 
(epoch: 15, iters: 7516, time: 0.071, data: 0.005) G_GAN: 1.105 G_L1: 5.677 D_real: 0.016 D_fake: 0.013 
(epoch: 15, iters: 7616, time: 0.069, data: 0.006) G_GAN: 0.994 G_L1: 6.980 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 7716, time: 0.071, data: 0.006) G_GAN: 0.974 G_L1: 7.501 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 7816, time: 0.071, data: 0.008) G_GAN: 0.989 G_L1: 6.486 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 7916, time: 0.071, data: 0.007) G_GAN: 1.011 G_L1: 7.340 D_real: 0.005 D_fake: 0.004 
(epoch: 15, iters: 8016, time: 0.166, data: 0.016) G_GAN: 1.035 G_L1: 7.972 D_real: 0.002 D_fake: 0.002 
(epoch: 15, iters: 8116, time: 0.068, data: 0.006) G_GAN: 0.999 G_L1: 6.980 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 8216, time: 0.068, data: 0.008) G_GAN: 0.977 G_L1: 6.476 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 8316, time: 0.071, data: 0.007) G_GAN: 0.984 G_L1: 5.381 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 8416, time: 0.071, data: 0.007) G_GAN: 0.999 G_L1: 5.871 D_real: 0.007 D_fake: 0.002 
(epoch: 15, iters: 8516, time: 0.069, data: 0.008) G_GAN: 1.037 G_L1: 6.244 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 8616, time: 0.072, data: 0.005) G_GAN: 0.990 G_L1: 7.041 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 8716, time: 0.073, data: 0.007) G_GAN: 0.968 G_L1: 6.911 D_real: 0.003 D_fake: 0.003 
(epoch: 15, iters: 8816, time: 0.072, data: 0.008) G_GAN: 0.985 G_L1: 6.083 D_real: 0.005 D_fake: 0.003 
(epoch: 15, iters: 8916, time: 0.073, data: 0.006) G_GAN: 1.046 G_L1: 5.642 D_real: 0.009 D_fake: 0.019 
(epoch: 15, iters: 9016, time: 0.073, data: 0.009) G_GAN: 0.980 G_L1: 6.615 D_real: 0.003 D_fake: 0.006 
(epoch: 15, iters: 9116, time: 0.073, data: 0.007) G_GAN: 1.034 G_L1: 6.467 D_real: 0.004 D_fake: 0.004 
(epoch: 15, iters: 9216, time: 0.072, data: 0.017) G_GAN: 0.970 G_L1: 7.894 D_real: 0.003 D_fake: 0.003 
(epoch: 15, iters: 9316, time: 0.073, data: 0.006) G_GAN: 1.011 G_L1: 7.075 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 9416, time: 0.073, data: 0.009) G_GAN: 1.040 G_L1: 5.650 D_real: 0.003 D_fake: 0.002 
(epoch: 15, iters: 9516, time: 0.073, data: 0.007) G_GAN: 0.985 G_L1: 6.309 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 9616, time: 0.073, data: 0.006) G_GAN: 1.024 G_L1: 6.540 D_real: 0.006 D_fake: 0.005 
(epoch: 15, iters: 9716, time: 0.071, data: 0.006) G_GAN: 1.009 G_L1: 12.806 D_real: 0.004 D_fake: 0.003 
(epoch: 15, iters: 9816, time: 0.073, data: 0.006) G_GAN: 1.012 G_L1: 6.376 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 9916, time: 0.073, data: 0.010) G_GAN: 1.011 G_L1: 7.444 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 10016, time: 0.168, data: 0.008) G_GAN: 0.992 G_L1: 6.501 D_real: 0.002 D_fake: 0.001 
saving the latest model (epoch 15, total_iters 680000)
(epoch: 15, iters: 10116, time: 0.071, data: 0.005) G_GAN: 0.999 G_L1: 6.733 D_real: 0.003 D_fake: 0.003 
(epoch: 15, iters: 10216, time: 0.074, data: 0.019) G_GAN: 0.982 G_L1: 6.179 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 10316, time: 0.073, data: 0.006) G_GAN: 0.971 G_L1: 8.152 D_real: 0.002 D_fake: 0.002 
(epoch: 15, iters: 10416, time: 0.072, data: 0.006) G_GAN: 1.004 G_L1: 6.774 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 10516, time: 0.074, data: 0.006) G_GAN: 0.981 G_L1: 5.520 D_real: 0.002 D_fake: 0.000 
(epoch: 15, iters: 10616, time: 0.073, data: 0.010) G_GAN: 1.048 G_L1: 6.467 D_real: 0.005 D_fake: 0.001 
(epoch: 15, iters: 10716, time: 0.073, data: 0.008) G_GAN: 1.002 G_L1: 6.045 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 10816, time: 0.072, data: 0.006) G_GAN: 1.017 G_L1: 7.335 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 10916, time: 0.071, data: 0.008) G_GAN: 0.997 G_L1: 6.063 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 11016, time: 0.072, data: 0.008) G_GAN: 0.999 G_L1: 6.090 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 11116, time: 0.071, data: 0.007) G_GAN: 1.016 G_L1: 6.147 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 11216, time: 0.072, data: 0.009) G_GAN: 1.003 G_L1: 7.058 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 11316, time: 0.068, data: 0.008) G_GAN: 0.992 G_L1: 5.843 D_real: 0.003 D_fake: 0.002 
(epoch: 15, iters: 11416, time: 0.071, data: 0.007) G_GAN: 0.940 G_L1: 5.630 D_real: 0.002 D_fake: 0.003 
(epoch: 15, iters: 11516, time: 0.071, data: 0.010) G_GAN: 1.024 G_L1: 6.034 D_real: 0.003 D_fake: 0.003 
(epoch: 15, iters: 11616, time: 0.072, data: 0.006) G_GAN: 0.990 G_L1: 7.158 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 11716, time: 0.072, data: 0.009) G_GAN: 1.002 G_L1: 6.632 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 11816, time: 0.074, data: 0.010) G_GAN: 0.997 G_L1: 6.958 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 11916, time: 0.074, data: 0.006) G_GAN: 0.995 G_L1: 6.286 D_real: 0.002 D_fake: 0.000 
(epoch: 15, iters: 12016, time: 0.164, data: 0.007) G_GAN: 1.008 G_L1: 6.773 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 12116, time: 0.074, data: 0.008) G_GAN: 0.985 G_L1: 6.407 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 12216, time: 0.073, data: 0.008) G_GAN: 1.013 G_L1: 7.041 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 12316, time: 0.073, data: 0.010) G_GAN: 1.026 G_L1: 6.082 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 12416, time: 0.074, data: 0.006) G_GAN: 0.987 G_L1: 7.760 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 12516, time: 0.072, data: 0.006) G_GAN: 1.067 G_L1: 6.871 D_real: 0.003 D_fake: 0.006 
(epoch: 15, iters: 12616, time: 0.070, data: 0.010) G_GAN: 0.980 G_L1: 5.908 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 12716, time: 0.073, data: 0.011) G_GAN: 0.978 G_L1: 6.885 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 12816, time: 0.072, data: 0.006) G_GAN: 1.024 G_L1: 7.073 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 12916, time: 0.068, data: 0.011) G_GAN: 1.009 G_L1: 6.561 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 13016, time: 0.070, data: 0.007) G_GAN: 0.979 G_L1: 6.769 D_real: 0.003 D_fake: 0.003 
(epoch: 15, iters: 13116, time: 0.070, data: 0.008) G_GAN: 0.995 G_L1: 7.123 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 13216, time: 0.074, data: 0.005) G_GAN: 0.982 G_L1: 6.208 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 13316, time: 0.071, data: 0.007) G_GAN: 0.970 G_L1: 6.350 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 13416, time: 0.072, data: 0.007) G_GAN: 1.002 G_L1: 5.726 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 13516, time: 0.066, data: 0.006) G_GAN: 1.031 G_L1: 5.840 D_real: 0.003 D_fake: 0.002 
(epoch: 15, iters: 13616, time: 0.072, data: 0.007) G_GAN: 0.977 G_L1: 6.983 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 13716, time: 0.069, data: 0.007) G_GAN: 1.024 G_L1: 7.106 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 13816, time: 0.072, data: 0.009) G_GAN: 1.007 G_L1: 6.236 D_real: 0.004 D_fake: 0.001 
(epoch: 15, iters: 13916, time: 0.073, data: 0.012) G_GAN: 0.969 G_L1: 6.653 D_real: 0.004 D_fake: 0.003 
(epoch: 15, iters: 14016, time: 0.164, data: 0.010) G_GAN: 0.989 G_L1: 6.043 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 14116, time: 0.073, data: 0.006) G_GAN: 1.016 G_L1: 7.256 D_real: 0.006 D_fake: 0.005 
(epoch: 15, iters: 14216, time: 0.073, data: 0.008) G_GAN: 1.002 G_L1: 7.021 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 14316, time: 0.074, data: 0.006) G_GAN: 1.012 G_L1: 7.567 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 14416, time: 0.073, data: 0.006) G_GAN: 0.969 G_L1: 6.371 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 14516, time: 0.071, data: 0.008) G_GAN: 1.000 G_L1: 6.264 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 14616, time: 0.074, data: 0.007) G_GAN: 1.010 G_L1: 6.594 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 14716, time: 0.072, data: 0.007) G_GAN: 0.983 G_L1: 7.774 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 14816, time: 0.071, data: 0.010) G_GAN: 0.988 G_L1: 6.003 D_real: 0.002 D_fake: 0.003 
(epoch: 15, iters: 14916, time: 0.073, data: 0.006) G_GAN: 1.003 G_L1: 6.426 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 15016, time: 0.072, data: 0.007) G_GAN: 1.025 G_L1: 6.203 D_real: 0.003 D_fake: 0.005 
saving the latest model (epoch 15, total_iters 685000)
(epoch: 15, iters: 15116, time: 0.072, data: 0.008) G_GAN: 0.992 G_L1: 6.511 D_real: 0.002 D_fake: 0.000 
(epoch: 15, iters: 15216, time: 0.072, data: 0.005) G_GAN: 1.014 G_L1: 7.103 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 15316, time: 0.072, data: 0.007) G_GAN: 1.008 G_L1: 6.299 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 15416, time: 0.072, data: 0.008) G_GAN: 0.987 G_L1: 6.166 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 15516, time: 0.073, data: 0.007) G_GAN: 0.990 G_L1: 6.893 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 15616, time: 0.073, data: 0.005) G_GAN: 1.019 G_L1: 7.595 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 15716, time: 0.074, data: 0.007) G_GAN: 1.002 G_L1: 6.743 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 15816, time: 0.073, data: 0.006) G_GAN: 1.021 G_L1: 5.857 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 15916, time: 0.074, data: 0.011) G_GAN: 0.993 G_L1: 7.005 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 16016, time: 0.164, data: 0.008) G_GAN: 1.012 G_L1: 6.792 D_real: 0.002 D_fake: 0.000 
(epoch: 15, iters: 16116, time: 0.073, data: 0.007) G_GAN: 1.000 G_L1: 6.871 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 16216, time: 0.072, data: 0.010) G_GAN: 1.014 G_L1: 7.015 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 16316, time: 0.073, data: 0.007) G_GAN: 1.001 G_L1: 6.414 D_real: 0.002 D_fake: 0.003 
(epoch: 15, iters: 16416, time: 0.072, data: 0.006) G_GAN: 1.019 G_L1: 6.577 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 16516, time: 0.072, data: 0.010) G_GAN: 1.044 G_L1: 5.133 D_real: 0.002 D_fake: 0.002 
(epoch: 15, iters: 16616, time: 0.071, data: 0.011) G_GAN: 0.980 G_L1: 5.845 D_real: 0.001 D_fake: 0.003 
(epoch: 15, iters: 16716, time: 0.072, data: 0.006) G_GAN: 1.003 G_L1: 6.062 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 16816, time: 0.073, data: 0.007) G_GAN: 0.991 G_L1: 6.306 D_real: 0.002 D_fake: 0.000 
(epoch: 15, iters: 16916, time: 0.071, data: 0.006) G_GAN: 0.981 G_L1: 6.187 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 17016, time: 0.072, data: 0.008) G_GAN: 0.993 G_L1: 7.671 D_real: 0.002 D_fake: 0.002 
(epoch: 15, iters: 17116, time: 0.070, data: 0.007) G_GAN: 1.034 G_L1: 5.946 D_real: 0.003 D_fake: 0.007 
(epoch: 15, iters: 17216, time: 0.071, data: 0.010) G_GAN: 0.990 G_L1: 6.843 D_real: 0.004 D_fake: 0.002 
(epoch: 15, iters: 17316, time: 0.070, data: 0.010) G_GAN: 1.013 G_L1: 6.460 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 17416, time: 0.070, data: 0.009) G_GAN: 1.020 G_L1: 5.910 D_real: 0.002 D_fake: 0.002 
(epoch: 15, iters: 17516, time: 0.073, data: 0.007) G_GAN: 1.011 G_L1: 5.871 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 17616, time: 0.074, data: 0.007) G_GAN: 0.966 G_L1: 7.214 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 17716, time: 0.074, data: 0.005) G_GAN: 0.975 G_L1: 6.227 D_real: 0.002 D_fake: 0.002 
(epoch: 15, iters: 17816, time: 0.074, data: 0.005) G_GAN: 0.991 G_L1: 7.399 D_real: 0.004 D_fake: 0.001 
(epoch: 15, iters: 17916, time: 0.079, data: 0.005) G_GAN: 0.994 G_L1: 6.522 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 18016, time: 0.165, data: 0.006) G_GAN: 1.024 G_L1: 7.739 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 18116, time: 0.072, data: 0.011) G_GAN: 1.035 G_L1: 6.423 D_real: 0.001 D_fake: 0.014 
(epoch: 15, iters: 18216, time: 0.068, data: 0.007) G_GAN: 0.996 G_L1: 6.825 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 18316, time: 0.071, data: 0.010) G_GAN: 0.994 G_L1: 6.754 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 18416, time: 0.071, data: 0.010) G_GAN: 1.006 G_L1: 6.884 D_real: 0.002 D_fake: 0.000 
(epoch: 15, iters: 18516, time: 0.071, data: 0.010) G_GAN: 0.987 G_L1: 6.304 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 18616, time: 0.070, data: 0.008) G_GAN: 0.982 G_L1: 8.248 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 18716, time: 0.072, data: 0.009) G_GAN: 0.998 G_L1: 7.940 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 18816, time: 0.073, data: 0.007) G_GAN: 0.996 G_L1: 5.725 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 18916, time: 0.071, data: 0.010) G_GAN: 1.004 G_L1: 5.737 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 19016, time: 0.072, data: 0.008) G_GAN: 1.019 G_L1: 6.508 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 19116, time: 0.071, data: 0.006) G_GAN: 1.011 G_L1: 6.482 D_real: 0.004 D_fake: 0.002 
(epoch: 15, iters: 19216, time: 0.071, data: 0.005) G_GAN: 0.981 G_L1: 6.423 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 19316, time: 0.073, data: 0.007) G_GAN: 1.004 G_L1: 5.617 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 19416, time: 0.072, data: 0.008) G_GAN: 0.968 G_L1: 5.989 D_real: 0.002 D_fake: 0.006 
(epoch: 15, iters: 19516, time: 0.073, data: 0.008) G_GAN: 1.008 G_L1: 7.361 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 19616, time: 0.074, data: 0.009) G_GAN: 1.003 G_L1: 6.475 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 19716, time: 0.074, data: 0.009) G_GAN: 1.012 G_L1: 6.176 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 19816, time: 0.072, data: 0.006) G_GAN: 0.976 G_L1: 5.674 D_real: 0.001 D_fake: 0.003 
(epoch: 15, iters: 19916, time: 0.073, data: 0.017) G_GAN: 0.991 G_L1: 7.465 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 20016, time: 0.174, data: 0.007) G_GAN: 1.012 G_L1: 7.011 D_real: 0.001 D_fake: 0.001 
saving the latest model (epoch 15, total_iters 690000)
(epoch: 15, iters: 20116, time: 0.072, data: 0.007) G_GAN: 1.002 G_L1: 6.379 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 20216, time: 0.073, data: 0.010) G_GAN: 0.986 G_L1: 7.120 D_real: 0.002 D_fake: 0.003 
(epoch: 15, iters: 20316, time: 0.071, data: 0.006) G_GAN: 0.980 G_L1: 6.704 D_real: 0.002 D_fake: 0.000 
(epoch: 15, iters: 20416, time: 0.074, data: 0.006) G_GAN: 0.994 G_L1: 6.477 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 20516, time: 0.072, data: 0.012) G_GAN: 0.981 G_L1: 6.082 D_real: 0.002 D_fake: 0.000 
(epoch: 15, iters: 20616, time: 0.070, data: 0.009) G_GAN: 0.989 G_L1: 6.374 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 20716, time: 0.072, data: 0.010) G_GAN: 1.009 G_L1: 6.499 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 20816, time: 0.072, data: 0.009) G_GAN: 0.978 G_L1: 6.245 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 20916, time: 0.072, data: 0.013) G_GAN: 0.997 G_L1: 5.729 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 21016, time: 0.071, data: 0.006) G_GAN: 1.030 G_L1: 6.472 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 21116, time: 0.072, data: 0.006) G_GAN: 0.979 G_L1: 6.683 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 21216, time: 0.073, data: 0.008) G_GAN: 1.015 G_L1: 5.425 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 21316, time: 0.072, data: 0.012) G_GAN: 0.998 G_L1: 7.076 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 21416, time: 0.073, data: 0.007) G_GAN: 0.987 G_L1: 7.441 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 21516, time: 0.072, data: 0.005) G_GAN: 0.992 G_L1: 5.870 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 21616, time: 0.071, data: 0.012) G_GAN: 1.014 G_L1: 7.483 D_real: 0.003 D_fake: 0.003 
(epoch: 15, iters: 21716, time: 0.070, data: 0.008) G_GAN: 0.997 G_L1: 6.771 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 21816, time: 0.072, data: 0.006) G_GAN: 0.975 G_L1: 6.412 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 21916, time: 0.071, data: 0.006) G_GAN: 1.056 G_L1: 5.998 D_real: 0.004 D_fake: 0.007 
(epoch: 15, iters: 22016, time: 0.163, data: 0.006) G_GAN: 0.990 G_L1: 6.559 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 22116, time: 0.073, data: 0.008) G_GAN: 1.035 G_L1: 5.609 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 22216, time: 0.071, data: 0.009) G_GAN: 1.005 G_L1: 7.006 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 22316, time: 0.072, data: 0.006) G_GAN: 1.027 G_L1: 6.373 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 22416, time: 0.071, data: 0.007) G_GAN: 1.019 G_L1: 5.852 D_real: 0.005 D_fake: 0.002 
(epoch: 15, iters: 22516, time: 0.071, data: 0.009) G_GAN: 1.007 G_L1: 6.354 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 22616, time: 0.072, data: 0.007) G_GAN: 0.972 G_L1: 5.938 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 22716, time: 0.073, data: 0.006) G_GAN: 0.990 G_L1: 6.332 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 22816, time: 0.072, data: 0.013) G_GAN: 1.015 G_L1: 7.439 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 22916, time: 0.072, data: 0.007) G_GAN: 1.010 G_L1: 6.628 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 23016, time: 0.074, data: 0.009) G_GAN: 1.020 G_L1: 5.955 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 23116, time: 0.073, data: 0.006) G_GAN: 1.014 G_L1: 6.646 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 23216, time: 0.072, data: 0.007) G_GAN: 0.998 G_L1: 7.058 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 23316, time: 0.075, data: 0.011) G_GAN: 1.003 G_L1: 7.204 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 23416, time: 0.073, data: 0.008) G_GAN: 0.990 G_L1: 6.525 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 23516, time: 0.074, data: 0.006) G_GAN: 0.989 G_L1: 6.615 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 23616, time: 0.072, data: 0.006) G_GAN: 0.986 G_L1: 7.312 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 23716, time: 0.072, data: 0.006) G_GAN: 1.014 G_L1: 7.020 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 23816, time: 0.072, data: 0.007) G_GAN: 0.989 G_L1: 7.192 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 23916, time: 0.070, data: 0.005) G_GAN: 0.999 G_L1: 5.309 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 24016, time: 0.168, data: 0.006) G_GAN: 0.979 G_L1: 6.852 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 24116, time: 0.072, data: 0.007) G_GAN: 1.022 G_L1: 5.892 D_real: 0.001 D_fake: 0.006 
(epoch: 15, iters: 24216, time: 0.073, data: 0.008) G_GAN: 0.984 G_L1: 5.690 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 24316, time: 0.071, data: 0.011) G_GAN: 1.001 G_L1: 6.707 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 24416, time: 0.072, data: 0.008) G_GAN: 1.003 G_L1: 6.832 D_real: 0.002 D_fake: 0.002 
(epoch: 15, iters: 24516, time: 0.073, data: 0.006) G_GAN: 1.003 G_L1: 7.021 D_real: 0.002 D_fake: 0.003 
(epoch: 15, iters: 24616, time: 0.072, data: 0.010) G_GAN: 1.010 G_L1: 5.366 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 24716, time: 0.072, data: 0.012) G_GAN: 1.007 G_L1: 6.192 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 24816, time: 0.073, data: 0.007) G_GAN: 1.025 G_L1: 7.010 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 24916, time: 0.074, data: 0.009) G_GAN: 1.012 G_L1: 5.874 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 25016, time: 0.073, data: 0.006) G_GAN: 1.006 G_L1: 7.402 D_real: 0.001 D_fake: 0.000 
saving the latest model (epoch 15, total_iters 695000)
(epoch: 15, iters: 25116, time: 0.073, data: 0.010) G_GAN: 1.010 G_L1: 6.169 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 25216, time: 0.074, data: 0.007) G_GAN: 1.021 G_L1: 6.773 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 25316, time: 0.073, data: 0.005) G_GAN: 0.999 G_L1: 6.098 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 25416, time: 0.071, data: 0.005) G_GAN: 1.000 G_L1: 6.068 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 25516, time: 0.074, data: 0.007) G_GAN: 0.999 G_L1: 6.237 D_real: 0.002 D_fake: 0.003 
(epoch: 15, iters: 25616, time: 0.072, data: 0.012) G_GAN: 1.007 G_L1: 6.233 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 25716, time: 0.073, data: 0.006) G_GAN: 0.976 G_L1: 6.271 D_real: 0.002 D_fake: 0.003 
(epoch: 15, iters: 25816, time: 0.073, data: 0.008) G_GAN: 1.004 G_L1: 6.260 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 25916, time: 0.072, data: 0.006) G_GAN: 1.000 G_L1: 6.803 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 26016, time: 0.169, data: 0.007) G_GAN: 1.004 G_L1: 5.911 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 26116, time: 0.071, data: 0.007) G_GAN: 1.005 G_L1: 5.885 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 26216, time: 0.072, data: 0.007) G_GAN: 1.002 G_L1: 6.059 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 26316, time: 0.073, data: 0.006) G_GAN: 1.008 G_L1: 5.808 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 26416, time: 0.073, data: 0.012) G_GAN: 1.004 G_L1: 6.652 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 26516, time: 0.074, data: 0.008) G_GAN: 0.983 G_L1: 7.680 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 26616, time: 0.072, data: 0.007) G_GAN: 1.010 G_L1: 6.588 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 26716, time: 0.070, data: 0.007) G_GAN: 0.998 G_L1: 6.178 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 26816, time: 0.072, data: 0.006) G_GAN: 1.006 G_L1: 7.198 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 26916, time: 0.073, data: 0.006) G_GAN: 0.992 G_L1: 5.536 D_real: 0.003 D_fake: 0.003 
(epoch: 15, iters: 27016, time: 0.070, data: 0.006) G_GAN: 0.984 G_L1: 6.458 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 27116, time: 0.073, data: 0.006) G_GAN: 0.980 G_L1: 7.050 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 27216, time: 0.073, data: 0.008) G_GAN: 1.028 G_L1: 7.130 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 27316, time: 0.072, data: 0.006) G_GAN: 0.975 G_L1: 6.130 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 27416, time: 0.074, data: 0.007) G_GAN: 1.017 G_L1: 7.280 D_real: 0.002 D_fake: 0.002 
(epoch: 15, iters: 27516, time: 0.072, data: 0.006) G_GAN: 1.008 G_L1: 7.365 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 27616, time: 0.071, data: 0.005) G_GAN: 1.033 G_L1: 5.828 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 27716, time: 0.072, data: 0.009) G_GAN: 1.010 G_L1: 6.260 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 27816, time: 0.073, data: 0.007) G_GAN: 0.997 G_L1: 6.223 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 27916, time: 0.075, data: 0.008) G_GAN: 1.001 G_L1: 5.214 D_real: 0.001 D_fake: 0.003 
(epoch: 15, iters: 28016, time: 0.168, data: 0.009) G_GAN: 0.981 G_L1: 7.098 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 28116, time: 0.072, data: 0.008) G_GAN: 0.990 G_L1: 6.219 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 28216, time: 0.072, data: 0.008) G_GAN: 1.021 G_L1: 6.892 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 28316, time: 0.073, data: 0.007) G_GAN: 0.982 G_L1: 5.763 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 28416, time: 0.074, data: 0.007) G_GAN: 1.000 G_L1: 6.767 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 28516, time: 0.072, data: 0.010) G_GAN: 0.988 G_L1: 6.385 D_real: 0.002 D_fake: 0.003 
(epoch: 15, iters: 28616, time: 0.074, data: 0.009) G_GAN: 0.991 G_L1: 6.038 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 28716, time: 0.073, data: 0.007) G_GAN: 1.000 G_L1: 5.285 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 28816, time: 0.071, data: 0.009) G_GAN: 1.013 G_L1: 5.359 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 28916, time: 0.072, data: 0.006) G_GAN: 0.989 G_L1: 6.890 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 29016, time: 0.072, data: 0.005) G_GAN: 0.993 G_L1: 5.611 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 29116, time: 0.071, data: 0.011) G_GAN: 1.023 G_L1: 6.368 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 29216, time: 0.071, data: 0.006) G_GAN: 0.996 G_L1: 6.647 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 29316, time: 0.072, data: 0.007) G_GAN: 1.006 G_L1: 6.378 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 29416, time: 0.072, data: 0.006) G_GAN: 0.980 G_L1: 7.853 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 29516, time: 0.071, data: 0.009) G_GAN: 1.000 G_L1: 5.810 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 29616, time: 0.073, data: 0.009) G_GAN: 0.955 G_L1: 6.437 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 29716, time: 0.074, data: 0.006) G_GAN: 1.081 G_L1: 5.732 D_real: 0.009 D_fake: 0.008 
(epoch: 15, iters: 29816, time: 0.072, data: 0.007) G_GAN: 0.998 G_L1: 5.200 D_real: 0.003 D_fake: 0.005 
(epoch: 15, iters: 29916, time: 0.073, data: 0.008) G_GAN: 0.997 G_L1: 7.128 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 30016, time: 0.171, data: 0.007) G_GAN: 1.058 G_L1: 5.298 D_real: 0.004 D_fake: 0.001 
saving the latest model (epoch 15, total_iters 700000)
(epoch: 15, iters: 30116, time: 0.072, data: 0.007) G_GAN: 0.994 G_L1: 5.640 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 30216, time: 0.072, data: 0.010) G_GAN: 0.993 G_L1: 6.623 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 30316, time: 0.074, data: 0.011) G_GAN: 0.997 G_L1: 6.882 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 30416, time: 0.074, data: 0.007) G_GAN: 0.962 G_L1: 5.125 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 30516, time: 0.072, data: 0.007) G_GAN: 0.458 G_L1: 7.038 D_real: 0.319 D_fake: 0.126 
(epoch: 15, iters: 30616, time: 0.073, data: 0.010) G_GAN: 0.876 G_L1: 6.689 D_real: 0.029 D_fake: 0.198 
(epoch: 15, iters: 30716, time: 0.072, data: 0.006) G_GAN: 0.610 G_L1: 7.211 D_real: 0.104 D_fake: 0.143 
(epoch: 15, iters: 30816, time: 0.072, data: 0.008) G_GAN: 0.517 G_L1: 7.595 D_real: 0.208 D_fake: 0.011 
(epoch: 15, iters: 30916, time: 0.073, data: 0.005) G_GAN: 0.669 G_L1: 6.906 D_real: 0.028 D_fake: 0.124 
(epoch: 15, iters: 31016, time: 0.073, data: 0.006) G_GAN: 0.938 G_L1: 7.832 D_real: 0.006 D_fake: 0.089 
(epoch: 15, iters: 31116, time: 0.072, data: 0.013) G_GAN: 0.608 G_L1: 6.873 D_real: 0.049 D_fake: 0.112 
(epoch: 15, iters: 31216, time: 0.073, data: 0.012) G_GAN: 1.160 G_L1: 7.990 D_real: 0.006 D_fake: 0.019 
(epoch: 15, iters: 31316, time: 0.072, data: 0.010) G_GAN: 0.920 G_L1: 6.253 D_real: 0.008 D_fake: 0.073 
(epoch: 15, iters: 31416, time: 0.072, data: 0.010) G_GAN: 0.894 G_L1: 7.619 D_real: 0.005 D_fake: 0.099 
(epoch: 15, iters: 31516, time: 0.071, data: 0.007) G_GAN: 0.957 G_L1: 7.367 D_real: 0.009 D_fake: 0.024 
(epoch: 15, iters: 31616, time: 0.071, data: 0.010) G_GAN: 1.108 G_L1: 6.633 D_real: 0.089 D_fake: 0.021 
(epoch: 15, iters: 31716, time: 0.073, data: 0.007) G_GAN: 0.912 G_L1: 6.294 D_real: 0.022 D_fake: 0.007 
(epoch: 15, iters: 31816, time: 0.074, data: 0.005) G_GAN: 0.958 G_L1: 7.305 D_real: 0.042 D_fake: 0.018 
(epoch: 15, iters: 31916, time: 0.072, data: 0.008) G_GAN: 0.898 G_L1: 7.431 D_real: 0.036 D_fake: 0.012 
(epoch: 15, iters: 32016, time: 0.159, data: 0.010) G_GAN: 0.776 G_L1: 6.850 D_real: 0.028 D_fake: 0.004 
(epoch: 15, iters: 32116, time: 0.073, data: 0.007) G_GAN: 0.934 G_L1: 7.864 D_real: 0.004 D_fake: 0.008 
(epoch: 15, iters: 32216, time: 0.074, data: 0.009) G_GAN: 0.905 G_L1: 7.039 D_real: 0.003 D_fake: 0.022 
(epoch: 15, iters: 32316, time: 0.073, data: 0.006) G_GAN: 1.063 G_L1: 7.375 D_real: 0.007 D_fake: 0.007 
(epoch: 15, iters: 32416, time: 0.073, data: 0.008) G_GAN: 0.984 G_L1: 7.245 D_real: 0.003 D_fake: 0.002 
(epoch: 15, iters: 32516, time: 0.073, data: 0.007) G_GAN: 1.084 G_L1: 7.282 D_real: 0.003 D_fake: 0.006 
(epoch: 15, iters: 32616, time: 0.071, data: 0.006) G_GAN: 1.065 G_L1: 7.814 D_real: 0.013 D_fake: 0.062 
(epoch: 15, iters: 32716, time: 0.071, data: 0.008) G_GAN: 0.990 G_L1: 7.673 D_real: 0.006 D_fake: 0.002 
(epoch: 15, iters: 32816, time: 0.071, data: 0.005) G_GAN: 0.775 G_L1: 8.040 D_real: 0.005 D_fake: 0.039 
(epoch: 15, iters: 32916, time: 0.071, data: 0.016) G_GAN: 0.860 G_L1: 6.241 D_real: 0.022 D_fake: 0.065 
(epoch: 15, iters: 33016, time: 0.071, data: 0.006) G_GAN: 1.000 G_L1: 7.675 D_real: 0.005 D_fake: 0.013 
(epoch: 15, iters: 33116, time: 0.073, data: 0.008) G_GAN: 0.940 G_L1: 7.765 D_real: 0.162 D_fake: 0.016 
(epoch: 15, iters: 33216, time: 0.070, data: 0.006) G_GAN: 1.204 G_L1: 7.734 D_real: 0.039 D_fake: 0.036 
(epoch: 15, iters: 33316, time: 0.073, data: 0.007) G_GAN: 0.900 G_L1: 7.702 D_real: 0.004 D_fake: 0.013 
(epoch: 15, iters: 33416, time: 0.072, data: 0.007) G_GAN: 1.158 G_L1: 7.399 D_real: 0.005 D_fake: 0.152 
(epoch: 15, iters: 33516, time: 0.074, data: 0.010) G_GAN: 0.975 G_L1: 6.911 D_real: 0.005 D_fake: 0.001 
(epoch: 15, iters: 33616, time: 0.073, data: 0.005) G_GAN: 0.912 G_L1: 6.181 D_real: 0.003 D_fake: 0.004 
(epoch: 15, iters: 33716, time: 0.073, data: 0.010) G_GAN: 0.937 G_L1: 6.479 D_real: 0.004 D_fake: 0.003 
(epoch: 15, iters: 33816, time: 0.072, data: 0.007) G_GAN: 0.950 G_L1: 7.762 D_real: 0.003 D_fake: 0.002 
(epoch: 15, iters: 33916, time: 0.073, data: 0.007) G_GAN: 0.951 G_L1: 7.075 D_real: 0.003 D_fake: 0.002 
(epoch: 15, iters: 34016, time: 0.167, data: 0.008) G_GAN: 0.959 G_L1: 5.959 D_real: 0.002 D_fake: 0.002 
(epoch: 15, iters: 34116, time: 0.072, data: 0.009) G_GAN: 0.982 G_L1: 6.783 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 34216, time: 0.074, data: 0.007) G_GAN: 1.007 G_L1: 6.279 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 34316, time: 0.072, data: 0.006) G_GAN: 1.073 G_L1: 6.320 D_real: 0.003 D_fake: 0.003 
(epoch: 15, iters: 34416, time: 0.073, data: 0.006) G_GAN: 0.986 G_L1: 6.844 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 34516, time: 0.072, data: 0.008) G_GAN: 1.026 G_L1: 6.967 D_real: 0.003 D_fake: 0.001 
(epoch: 15, iters: 34616, time: 0.072, data: 0.007) G_GAN: 1.001 G_L1: 7.006 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 34716, time: 0.072, data: 0.007) G_GAN: 0.995 G_L1: 5.985 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 34816, time: 0.073, data: 0.006) G_GAN: 1.026 G_L1: 6.253 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 34916, time: 0.073, data: 0.009) G_GAN: 0.999 G_L1: 7.055 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 35016, time: 0.073, data: 0.010) G_GAN: 0.981 G_L1: 7.747 D_real: 0.001 D_fake: 0.001 
saving the latest model (epoch 15, total_iters 705000)
(epoch: 15, iters: 35116, time: 0.073, data: 0.007) G_GAN: 1.064 G_L1: 6.545 D_real: 0.002 D_fake: 0.003 
(epoch: 15, iters: 35216, time: 0.074, data: 0.010) G_GAN: 1.024 G_L1: 6.927 D_real: 0.004 D_fake: 0.001 
(epoch: 15, iters: 35316, time: 0.074, data: 0.006) G_GAN: 0.988 G_L1: 6.798 D_real: 0.004 D_fake: 0.001 
(epoch: 15, iters: 35416, time: 0.074, data: 0.006) G_GAN: 0.996 G_L1: 6.723 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 35516, time: 0.073, data: 0.008) G_GAN: 1.011 G_L1: 5.800 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 35616, time: 0.073, data: 0.006) G_GAN: 1.002 G_L1: 6.949 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 35716, time: 0.073, data: 0.006) G_GAN: 1.001 G_L1: 7.326 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 35816, time: 0.073, data: 0.006) G_GAN: 0.953 G_L1: 7.568 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 35916, time: 0.073, data: 0.007) G_GAN: 1.003 G_L1: 7.302 D_real: 0.002 D_fake: 0.000 
(epoch: 15, iters: 36016, time: 0.165, data: 0.007) G_GAN: 1.011 G_L1: 6.466 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 36116, time: 0.071, data: 0.008) G_GAN: 1.003 G_L1: 6.626 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 36216, time: 0.071, data: 0.010) G_GAN: 1.010 G_L1: 6.564 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 36316, time: 0.071, data: 0.008) G_GAN: 0.903 G_L1: 6.751 D_real: 0.001 D_fake: 0.027 
(epoch: 15, iters: 36416, time: 0.072, data: 0.008) G_GAN: 1.032 G_L1: 5.832 D_real: 0.001 D_fake: 0.003 
(epoch: 15, iters: 36516, time: 0.072, data: 0.007) G_GAN: 0.982 G_L1: 7.192 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 36616, time: 0.071, data: 0.007) G_GAN: 1.026 G_L1: 5.985 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 36716, time: 0.073, data: 0.012) G_GAN: 1.000 G_L1: 6.412 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 36816, time: 0.073, data: 0.008) G_GAN: 0.992 G_L1: 5.751 D_real: 0.002 D_fake: 0.000 
(epoch: 15, iters: 36916, time: 0.072, data: 0.005) G_GAN: 1.000 G_L1: 5.980 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 37016, time: 0.072, data: 0.006) G_GAN: 1.016 G_L1: 6.897 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 37116, time: 0.069, data: 0.007) G_GAN: 1.023 G_L1: 6.289 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 37216, time: 0.071, data: 0.009) G_GAN: 1.021 G_L1: 6.129 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 37316, time: 0.070, data: 0.009) G_GAN: 1.001 G_L1: 5.636 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 37416, time: 0.072, data: 0.006) G_GAN: 0.980 G_L1: 5.959 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 37516, time: 0.072, data: 0.011) G_GAN: 0.996 G_L1: 7.129 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 37616, time: 0.074, data: 0.006) G_GAN: 1.015 G_L1: 5.819 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 37716, time: 0.074, data: 0.006) G_GAN: 0.999 G_L1: 5.418 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 37816, time: 0.073, data: 0.009) G_GAN: 0.982 G_L1: 7.243 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 37916, time: 0.073, data: 0.010) G_GAN: 0.993 G_L1: 6.188 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 38016, time: 0.166, data: 0.007) G_GAN: 0.998 G_L1: 6.426 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 38116, time: 0.074, data: 0.009) G_GAN: 0.981 G_L1: 5.784 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 38216, time: 0.071, data: 0.007) G_GAN: 1.035 G_L1: 6.712 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 38316, time: 0.071, data: 0.013) G_GAN: 1.004 G_L1: 6.926 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 38416, time: 0.070, data: 0.008) G_GAN: 0.992 G_L1: 6.122 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 38516, time: 0.072, data: 0.010) G_GAN: 0.997 G_L1: 7.394 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 38616, time: 0.072, data: 0.006) G_GAN: 0.978 G_L1: 6.299 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 38716, time: 0.073, data: 0.008) G_GAN: 0.994 G_L1: 5.745 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 38816, time: 0.073, data: 0.011) G_GAN: 0.994 G_L1: 6.478 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 38916, time: 0.072, data: 0.013) G_GAN: 1.017 G_L1: 5.874 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 39016, time: 0.073, data: 0.006) G_GAN: 1.017 G_L1: 6.719 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 39116, time: 0.072, data: 0.007) G_GAN: 0.994 G_L1: 6.042 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 39216, time: 0.072, data: 0.006) G_GAN: 1.004 G_L1: 5.890 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 39316, time: 0.072, data: 0.007) G_GAN: 1.023 G_L1: 5.857 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 39416, time: 0.072, data: 0.009) G_GAN: 1.012 G_L1: 6.357 D_real: 0.002 D_fake: 0.000 
(epoch: 15, iters: 39516, time: 0.073, data: 0.006) G_GAN: 1.026 G_L1: 6.352 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 39616, time: 0.072, data: 0.006) G_GAN: 1.003 G_L1: 5.852 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 39716, time: 0.072, data: 0.012) G_GAN: 1.028 G_L1: 7.384 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 39816, time: 0.072, data: 0.012) G_GAN: 0.983 G_L1: 5.774 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 39916, time: 0.072, data: 0.009) G_GAN: 0.993 G_L1: 6.596 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 40016, time: 0.169, data: 0.010) G_GAN: 0.985 G_L1: 8.138 D_real: 0.001 D_fake: 0.001 
saving the latest model (epoch 15, total_iters 710000)
(epoch: 15, iters: 40116, time: 0.073, data: 0.007) G_GAN: 1.008 G_L1: 6.823 D_real: 0.002 D_fake: 0.000 
(epoch: 15, iters: 40216, time: 0.071, data: 0.006) G_GAN: 0.995 G_L1: 7.364 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 40316, time: 0.070, data: 0.006) G_GAN: 1.006 G_L1: 6.305 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 40416, time: 0.073, data: 0.011) G_GAN: 1.002 G_L1: 7.362 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 40516, time: 0.073, data: 0.008) G_GAN: 0.982 G_L1: 6.444 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 40616, time: 0.072, data: 0.007) G_GAN: 1.015 G_L1: 6.804 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 40716, time: 0.072, data: 0.007) G_GAN: 0.991 G_L1: 7.127 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 40816, time: 0.071, data: 0.007) G_GAN: 0.997 G_L1: 5.268 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 40916, time: 0.071, data: 0.010) G_GAN: 1.000 G_L1: 6.401 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 41016, time: 0.073, data: 0.006) G_GAN: 0.990 G_L1: 6.674 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 41116, time: 0.072, data: 0.007) G_GAN: 1.004 G_L1: 6.046 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 41216, time: 0.072, data: 0.011) G_GAN: 0.996 G_L1: 6.451 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 41316, time: 0.072, data: 0.007) G_GAN: 1.005 G_L1: 5.118 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 41416, time: 0.072, data: 0.009) G_GAN: 0.991 G_L1: 6.213 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 41516, time: 0.071, data: 0.007) G_GAN: 0.980 G_L1: 6.858 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 41616, time: 0.070, data: 0.008) G_GAN: 0.974 G_L1: 7.595 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 41716, time: 0.070, data: 0.012) G_GAN: 1.015 G_L1: 6.119 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 41816, time: 0.069, data: 0.008) G_GAN: 0.991 G_L1: 6.028 D_real: 0.002 D_fake: 0.003 
(epoch: 15, iters: 42016, time: 0.167, data: 0.010) G_GAN: 1.005 G_L1: 7.052 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 42116, time: 0.073, data: 0.007) G_GAN: 1.035 G_L1: 6.078 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 42216, time: 0.074, data: 0.011) G_GAN: 1.003 G_L1: 6.712 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 42316, time: 0.073, data: 0.008) G_GAN: 0.990 G_L1: 6.014 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 42416, time: 0.072, data: 0.011) G_GAN: 1.017 G_L1: 6.707 D_real: 0.002 D_fake: 0.003 
(epoch: 15, iters: 42516, time: 0.073, data: 0.006) G_GAN: 0.993 G_L1: 6.169 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 42616, time: 0.071, data: 0.005) G_GAN: 1.019 G_L1: 6.261 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 42716, time: 0.073, data: 0.008) G_GAN: 1.000 G_L1: 5.963 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 42816, time: 0.072, data: 0.007) G_GAN: 0.986 G_L1: 7.624 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 42916, time: 0.073, data: 0.010) G_GAN: 0.991 G_L1: 6.441 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 43016, time: 0.074, data: 0.010) G_GAN: 1.003 G_L1: 5.502 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 43116, time: 0.072, data: 0.006) G_GAN: 0.999 G_L1: 6.366 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 43216, time: 0.070, data: 0.006) G_GAN: 0.985 G_L1: 5.731 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 43316, time: 0.071, data: 0.011) G_GAN: 0.977 G_L1: 6.695 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 43416, time: 0.073, data: 0.010) G_GAN: 1.005 G_L1: 5.458 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 43516, time: 0.069, data: 0.007) G_GAN: 0.987 G_L1: 6.550 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 43616, time: 0.071, data: 0.007) G_GAN: 0.985 G_L1: 6.803 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 43716, time: 0.073, data: 0.011) G_GAN: 1.003 G_L1: 6.386 D_real: 0.001 D_fake: 0.002 
(epoch: 15, iters: 43816, time: 0.072, data: 0.007) G_GAN: 0.975 G_L1: 6.746 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 43916, time: 0.072, data: 0.005) G_GAN: 0.981 G_L1: 7.246 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 44016, time: 0.174, data: 0.011) G_GAN: 0.975 G_L1: 7.055 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 44116, time: 0.072, data: 0.012) G_GAN: 1.035 G_L1: 6.278 D_real: 0.005 D_fake: 0.009 
(epoch: 15, iters: 44216, time: 0.074, data: 0.011) G_GAN: 1.003 G_L1: 6.850 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 44316, time: 0.072, data: 0.011) G_GAN: 1.005 G_L1: 5.235 D_real: 0.001 D_fake: 0.006 
(epoch: 15, iters: 44416, time: 0.071, data: 0.009) G_GAN: 1.001 G_L1: 5.871 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 44516, time: 0.072, data: 0.006) G_GAN: 0.993 G_L1: 6.806 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 44616, time: 0.074, data: 0.006) G_GAN: 1.013 G_L1: 6.143 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 44716, time: 0.073, data: 0.006) G_GAN: 1.014 G_L1: 5.710 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 44816, time: 0.073, data: 0.006) G_GAN: 0.982 G_L1: 7.212 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 44916, time: 0.072, data: 0.007) G_GAN: 0.981 G_L1: 6.208 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 45016, time: 0.073, data: 0.007) G_GAN: 0.998 G_L1: 6.060 D_real: 0.001 D_fake: 0.001 
saving the latest model (epoch 15, total_iters 715000)
(epoch: 15, iters: 45116, time: 0.073, data: 0.005) G_GAN: 1.010 G_L1: 6.777 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 45216, time: 0.073, data: 0.008) G_GAN: 1.009 G_L1: 6.776 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 45316, time: 0.074, data: 0.008) G_GAN: 0.974 G_L1: 6.709 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 45416, time: 0.073, data: 0.005) G_GAN: 0.983 G_L1: 6.134 D_real: 0.002 D_fake: 0.002 
(epoch: 15, iters: 45516, time: 0.072, data: 0.009) G_GAN: 0.994 G_L1: 6.705 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 45616, time: 0.071, data: 0.010) G_GAN: 1.005 G_L1: 6.635 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 45716, time: 0.069, data: 0.005) G_GAN: 0.998 G_L1: 6.742 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 45816, time: 0.074, data: 0.005) G_GAN: 1.004 G_L1: 5.954 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 45916, time: 0.073, data: 0.007) G_GAN: 1.010 G_L1: 5.775 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 46016, time: 0.173, data: 0.009) G_GAN: 1.003 G_L1: 6.614 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 46116, time: 0.073, data: 0.010) G_GAN: 0.990 G_L1: 6.507 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 46216, time: 0.072, data: 0.009) G_GAN: 1.028 G_L1: 6.945 D_real: 0.004 D_fake: 0.003 
(epoch: 15, iters: 46316, time: 0.072, data: 0.007) G_GAN: 1.000 G_L1: 6.281 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 46416, time: 0.072, data: 0.008) G_GAN: 1.029 G_L1: 7.372 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 46516, time: 0.073, data: 0.008) G_GAN: 1.006 G_L1: 6.399 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 46616, time: 0.073, data: 0.006) G_GAN: 1.015 G_L1: 5.722 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 46716, time: 0.074, data: 0.018) G_GAN: 1.006 G_L1: 6.290 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 46816, time: 0.072, data: 0.007) G_GAN: 1.007 G_L1: 7.218 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 46916, time: 0.072, data: 0.007) G_GAN: 1.010 G_L1: 7.279 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 47016, time: 0.072, data: 0.007) G_GAN: 1.002 G_L1: 6.170 D_real: 0.002 D_fake: 0.001 
(epoch: 15, iters: 47116, time: 0.072, data: 0.008) G_GAN: 1.004 G_L1: 5.597 D_real: 0.001 D_fake: 0.003 
(epoch: 15, iters: 47216, time: 0.073, data: 0.006) G_GAN: 1.009 G_L1: 5.757 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 47316, time: 0.073, data: 0.007) G_GAN: 1.013 G_L1: 6.781 D_real: 0.002 D_fake: 0.002 
(epoch: 15, iters: 47416, time: 0.073, data: 0.008) G_GAN: 0.994 G_L1: 6.304 D_real: 0.002 D_fake: 0.003 
(epoch: 15, iters: 47516, time: 0.074, data: 0.007) G_GAN: 0.996 G_L1: 6.821 D_real: 0.001 D_fake: 0.000 
(epoch: 15, iters: 47616, time: 0.073, data: 0.006) G_GAN: 1.007 G_L1: 6.678 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 47716, time: 0.073, data: 0.010) G_GAN: 0.987 G_L1: 6.416 D_real: 0.001 D_fake: 0.001 
(epoch: 15, iters: 47816, time: 0.074, data: 0.006) G_GAN: 0.997 G_L1: 5.767 D_real: 0.001 D_fake: 0.001 
End of epoch 15 / 20 	 Time Taken: 1974 sec
learning rate 0.0002000 -> 0.0002000
(epoch: 16, iters: 60, time: 0.070, data: 0.007) G_GAN: 1.007 G_L1: 6.707 D_real: 0.001 D_fake: 0.001 
(epoch: 16, iters: 160, time: 0.163, data: 0.008) G_GAN: 0.995 G_L1: 6.471 D_real: 0.001 D_fake: 0.001 
(epoch: 16, iters: 260, time: 0.071, data: 0.007) G_GAN: 0.999 G_L1: 5.905 D_real: 0.001 D_fake: 0.000 
(epoch: 16, iters: 360, time: 0.071, data: 0.006) G_GAN: 1.003 G_L1: 5.930 D_real: 0.001 D_fake: 0.001 
(epoch: 16, iters: 460, time: 0.072, data: 0.007) G_GAN: 1.026 G_L1: 7.631 D_real: 0.002 D_fake: 0.002 
(epoch: 16, iters: 560, time: 0.071, data: 0.010) G_GAN: 0.972 G_L1: 6.599 D_real: 0.001 D_fake: 0.001 
(epoch: 16, iters: 660, time: 0.069, data: 0.007) G_GAN: 0.988 G_L1: 6.746 D_real: 0.001 D_fake: 0.001 
(epoch: 16, iters: 760, time: 0.070, data: 0.009) G_GAN: 1.016 G_L1: 6.031 D_real: 0.001 D_fake: 0.001 
Traceback (most recent call last):
  File "train.py", line 51, in <module>
    model.set_input(data)         # unpack data from dataset and apply preprocessing
  File "/content/pytorch-CycleGAN-and-pix2pix/models/pix2pix_model.py", line 82, in set_input
    self.real_A = input['A' if AtoB else 'B'].to(self.device)
KeyboardInterrupt
In [ ]:
# # !rm -rf checkpoints
# !cd pytorch-CycleGAN-and-pix2pix && python3 train.py --dataroot ../final_data --name clouds --model pix2pix --direction AtoB --checkpoints_dir ../checkpoints --batch_size 4 --n_epochs 10 --n_epochs_decay 10 --gan_mode lsgan --save_epoch_freq 2 --display_id -1
Streaming output truncated to the last 5000 lines.
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
(epoch: 11, iters: 100, time: 0.031, data: 0.700) G_GAN: 0.565 G_L1: 5.164 D_real: 0.089 D_fake: 0.091 
(epoch: 11, iters: 200, time: 0.037, data: 0.005) G_GAN: 0.584 G_L1: 6.857 D_real: 0.111 D_fake: 0.109 
(epoch: 11, iters: 300, time: 0.040, data: 0.008) G_GAN: 0.281 G_L1: 4.593 D_real: 0.212 D_fake: 0.173 
(epoch: 11, iters: 400, time: 0.105, data: 0.004) G_GAN: 0.471 G_L1: 5.160 D_real: 0.088 D_fake: 0.098 
(epoch: 11, iters: 500, time: 0.036, data: 0.004) G_GAN: 0.914 G_L1: 6.317 D_real: 0.040 D_fake: 0.047 
(epoch: 11, iters: 600, time: 0.038, data: 0.003) G_GAN: 0.493 G_L1: 6.000 D_real: 0.258 D_fake: 0.058 
(epoch: 11, iters: 700, time: 0.036, data: 0.008) G_GAN: 0.887 G_L1: 4.751 D_real: 0.034 D_fake: 0.161 
(epoch: 11, iters: 800, time: 0.040, data: 0.011) G_GAN: 0.559 G_L1: 6.291 D_real: 0.086 D_fake: 0.066 
(epoch: 11, iters: 900, time: 0.039, data: 0.007) G_GAN: 0.506 G_L1: 5.094 D_real: 0.189 D_fake: 0.099 
(epoch: 11, iters: 1000, time: 0.037, data: 0.012) G_GAN: 0.507 G_L1: 4.703 D_real: 0.037 D_fake: 0.181 
(epoch: 11, iters: 1100, time: 0.039, data: 0.006) G_GAN: 0.564 G_L1: 5.652 D_real: 0.061 D_fake: 0.183 
(epoch: 11, iters: 1200, time: 0.039, data: 0.010) G_GAN: 0.820 G_L1: 5.215 D_real: 0.026 D_fake: 0.077 
(epoch: 11, iters: 1300, time: 0.038, data: 0.003) G_GAN: 0.689 G_L1: 5.437 D_real: 0.044 D_fake: 0.271 
(epoch: 11, iters: 1400, time: 0.041, data: 0.004) G_GAN: 0.621 G_L1: 5.021 D_real: 0.065 D_fake: 0.071 
(epoch: 11, iters: 1500, time: 0.040, data: 0.015) G_GAN: 0.568 G_L1: 5.410 D_real: 0.148 D_fake: 0.064 
(epoch: 11, iters: 1600, time: 0.036, data: 0.016) G_GAN: 0.784 G_L1: 5.699 D_real: 0.139 D_fake: 0.030 
(epoch: 11, iters: 1700, time: 0.039, data: 0.011) G_GAN: 0.579 G_L1: 5.013 D_real: 0.237 D_fake: 0.054 
(epoch: 11, iters: 1800, time: 0.035, data: 0.010) G_GAN: 0.937 G_L1: 4.794 D_real: 0.034 D_fake: 0.180 
(epoch: 11, iters: 1900, time: 0.039, data: 0.003) G_GAN: 0.715 G_L1: 6.126 D_real: 0.059 D_fake: 0.052 
(epoch: 11, iters: 2000, time: 0.080, data: 0.003) G_GAN: 0.431 G_L1: 5.409 D_real: 0.083 D_fake: 0.068 
(epoch: 11, iters: 2100, time: 0.039, data: 0.003) G_GAN: 0.349 G_L1: 5.081 D_real: 0.425 D_fake: 0.059 
(epoch: 11, iters: 2200, time: 0.041, data: 0.006) G_GAN: 0.723 G_L1: 4.411 D_real: 0.168 D_fake: 0.088 
(epoch: 11, iters: 2300, time: 0.037, data: 0.004) G_GAN: 1.057 G_L1: 6.238 D_real: 0.036 D_fake: 0.095 
(epoch: 11, iters: 2400, time: 0.036, data: 0.012) G_GAN: 0.594 G_L1: 5.719 D_real: 0.122 D_fake: 0.105 
(epoch: 11, iters: 2500, time: 0.035, data: 0.003) G_GAN: 0.612 G_L1: 5.512 D_real: 0.212 D_fake: 0.044 
(epoch: 11, iters: 2600, time: 0.037, data: 0.018) G_GAN: 0.716 G_L1: 5.177 D_real: 0.096 D_fake: 0.083 
(epoch: 11, iters: 2700, time: 0.037, data: 0.003) G_GAN: 0.380 G_L1: 4.247 D_real: 0.192 D_fake: 0.117 
(epoch: 11, iters: 2800, time: 0.040, data: 0.006) G_GAN: 1.182 G_L1: 5.254 D_real: 0.032 D_fake: 0.146 
(epoch: 11, iters: 2900, time: 0.038, data: 0.016) G_GAN: 0.765 G_L1: 4.994 D_real: 0.036 D_fake: 0.161 
(epoch: 11, iters: 3000, time: 0.039, data: 0.010) G_GAN: 0.643 G_L1: 5.402 D_real: 0.223 D_fake: 0.044 
(epoch: 11, iters: 3100, time: 0.039, data: 0.003) G_GAN: 1.123 G_L1: 5.909 D_real: 0.027 D_fake: 0.037 
(epoch: 11, iters: 3200, time: 0.038, data: 0.009) G_GAN: 0.634 G_L1: 5.679 D_real: 0.134 D_fake: 0.038 
(epoch: 11, iters: 3300, time: 0.035, data: 0.010) G_GAN: 0.821 G_L1: 4.017 D_real: 0.177 D_fake: 0.051 
(epoch: 11, iters: 3400, time: 0.042, data: 0.004) G_GAN: 0.636 G_L1: 5.564 D_real: 0.156 D_fake: 0.026 
(epoch: 11, iters: 3500, time: 0.040, data: 0.016) G_GAN: 0.925 G_L1: 5.881 D_real: 0.045 D_fake: 0.117 
(epoch: 11, iters: 3600, time: 0.038, data: 0.015) G_GAN: 0.608 G_L1: 5.098 D_real: 0.069 D_fake: 0.228 
(epoch: 11, iters: 3700, time: 0.037, data: 0.010) G_GAN: 0.617 G_L1: 6.385 D_real: 0.110 D_fake: 0.076 
(epoch: 11, iters: 3800, time: 0.038, data: 0.003) G_GAN: 0.651 G_L1: 5.459 D_real: 0.289 D_fake: 0.032 
(epoch: 11, iters: 3900, time: 0.037, data: 0.002) G_GAN: 0.496 G_L1: 6.622 D_real: 0.205 D_fake: 0.056 
(epoch: 11, iters: 4000, time: 0.086, data: 0.009) G_GAN: 0.614 G_L1: 5.018 D_real: 0.147 D_fake: 0.051 
(epoch: 11, iters: 4100, time: 0.040, data: 0.003) G_GAN: 0.711 G_L1: 5.450 D_real: 0.054 D_fake: 0.113 
(epoch: 11, iters: 4200, time: 0.043, data: 0.010) G_GAN: 0.374 G_L1: 5.447 D_real: 0.237 D_fake: 0.038 
(epoch: 11, iters: 4300, time: 0.040, data: 0.005) G_GAN: 0.487 G_L1: 5.257 D_real: 0.296 D_fake: 0.046 
(epoch: 11, iters: 4400, time: 0.037, data: 0.003) G_GAN: 0.497 G_L1: 4.629 D_real: 0.113 D_fake: 0.198 
(epoch: 11, iters: 4500, time: 0.036, data: 0.004) G_GAN: 0.717 G_L1: 4.764 D_real: 0.055 D_fake: 0.072 
(epoch: 11, iters: 4600, time: 0.039, data: 0.010) G_GAN: 0.931 G_L1: 6.764 D_real: 0.052 D_fake: 0.049 
(epoch: 11, iters: 4700, time: 0.037, data: 0.009) G_GAN: 0.849 G_L1: 5.219 D_real: 0.089 D_fake: 0.066 
(epoch: 11, iters: 4800, time: 0.042, data: 0.003) G_GAN: 0.659 G_L1: 5.622 D_real: 0.059 D_fake: 0.106 
(epoch: 11, iters: 4900, time: 0.037, data: 0.003) G_GAN: 0.731 G_L1: 4.584 D_real: 0.092 D_fake: 0.058 
(epoch: 11, iters: 5000, time: 0.038, data: 0.016) G_GAN: 0.659 G_L1: 4.858 D_real: 0.131 D_fake: 0.062 
saving the latest model (epoch 11, total_iters 485000)
(epoch: 11, iters: 5100, time: 0.037, data: 0.003) G_GAN: 0.933 G_L1: 4.477 D_real: 0.032 D_fake: 0.047 
(epoch: 11, iters: 5200, time: 0.032, data: 0.012) G_GAN: 0.864 G_L1: 6.761 D_real: 0.033 D_fake: 0.243 
(epoch: 11, iters: 5300, time: 0.039, data: 0.014) G_GAN: 0.613 G_L1: 5.401 D_real: 0.113 D_fake: 0.123 
(epoch: 11, iters: 5400, time: 0.041, data: 0.003) G_GAN: 0.639 G_L1: 5.517 D_real: 0.272 D_fake: 0.028 
(epoch: 11, iters: 5500, time: 0.043, data: 0.012) G_GAN: 0.769 G_L1: 5.067 D_real: 0.043 D_fake: 0.125 
(epoch: 11, iters: 5600, time: 0.041, data: 0.003) G_GAN: 0.848 G_L1: 6.567 D_real: 0.083 D_fake: 0.043 
(epoch: 11, iters: 5700, time: 0.035, data: 0.015) G_GAN: 0.955 G_L1: 5.768 D_real: 0.034 D_fake: 0.118 
(epoch: 11, iters: 5800, time: 0.034, data: 0.002) G_GAN: 0.765 G_L1: 6.240 D_real: 0.057 D_fake: 0.108 
(epoch: 11, iters: 5900, time: 0.036, data: 0.003) G_GAN: 0.577 G_L1: 5.362 D_real: 0.222 D_fake: 0.078 
(epoch: 11, iters: 6000, time: 0.091, data: 0.005) G_GAN: 1.088 G_L1: 5.573 D_real: 0.061 D_fake: 0.106 
(epoch: 11, iters: 6100, time: 0.038, data: 0.005) G_GAN: 0.580 G_L1: 4.184 D_real: 0.171 D_fake: 0.048 
(epoch: 11, iters: 6200, time: 0.040, data: 0.003) G_GAN: 0.962 G_L1: 4.780 D_real: 0.040 D_fake: 0.059 
(epoch: 11, iters: 6300, time: 0.039, data: 0.003) G_GAN: 0.971 G_L1: 5.359 D_real: 0.029 D_fake: 0.121 
(epoch: 11, iters: 6400, time: 0.037, data: 0.006) G_GAN: 0.716 G_L1: 5.500 D_real: 0.094 D_fake: 0.063 
(epoch: 11, iters: 6500, time: 0.039, data: 0.004) G_GAN: 0.592 G_L1: 5.394 D_real: 0.097 D_fake: 0.132 
(epoch: 11, iters: 6600, time: 0.038, data: 0.003) G_GAN: 0.640 G_L1: 5.463 D_real: 0.239 D_fake: 0.107 
(epoch: 11, iters: 6700, time: 0.042, data: 0.003) G_GAN: 0.661 G_L1: 5.651 D_real: 0.146 D_fake: 0.121 
(epoch: 11, iters: 6800, time: 0.037, data: 0.010) G_GAN: 0.931 G_L1: 5.370 D_real: 0.031 D_fake: 0.175 
(epoch: 11, iters: 6900, time: 0.039, data: 0.006) G_GAN: 0.861 G_L1: 5.525 D_real: 0.030 D_fake: 0.106 
(epoch: 11, iters: 7000, time: 0.038, data: 0.003) G_GAN: 0.684 G_L1: 6.605 D_real: 0.151 D_fake: 0.039 
(epoch: 11, iters: 7100, time: 0.041, data: 0.012) G_GAN: 0.688 G_L1: 5.209 D_real: 0.214 D_fake: 0.029 
(epoch: 11, iters: 7200, time: 0.039, data: 0.003) G_GAN: 0.765 G_L1: 4.358 D_real: 0.107 D_fake: 0.040 
(epoch: 11, iters: 7300, time: 0.038, data: 0.004) G_GAN: 0.790 G_L1: 6.085 D_real: 0.038 D_fake: 0.119 
(epoch: 11, iters: 7400, time: 0.038, data: 0.013) G_GAN: 1.467 G_L1: 5.753 D_real: 0.065 D_fake: 0.054 
(epoch: 11, iters: 7500, time: 0.041, data: 0.007) G_GAN: 0.633 G_L1: 4.590 D_real: 0.081 D_fake: 0.178 
(epoch: 11, iters: 7600, time: 0.034, data: 0.003) G_GAN: 1.407 G_L1: 5.914 D_real: 0.043 D_fake: 0.112 
(epoch: 11, iters: 7700, time: 0.038, data: 0.009) G_GAN: 0.898 G_L1: 5.303 D_real: 0.100 D_fake: 0.056 
(epoch: 11, iters: 7800, time: 0.036, data: 0.002) G_GAN: 0.663 G_L1: 5.956 D_real: 0.065 D_fake: 0.095 
(epoch: 11, iters: 7900, time: 0.032, data: 0.002) G_GAN: 0.781 G_L1: 5.968 D_real: 0.050 D_fake: 0.039 
(epoch: 11, iters: 8000, time: 0.122, data: 0.023) G_GAN: 0.578 G_L1: 5.254 D_real: 0.160 D_fake: 0.034 
(epoch: 11, iters: 8100, time: 0.039, data: 0.004) G_GAN: 0.603 G_L1: 6.167 D_real: 0.079 D_fake: 0.046 
(epoch: 11, iters: 8200, time: 0.037, data: 0.003) G_GAN: 0.418 G_L1: 5.422 D_real: 0.397 D_fake: 0.054 
(epoch: 11, iters: 8300, time: 0.035, data: 0.007) G_GAN: 0.958 G_L1: 5.620 D_real: 0.033 D_fake: 0.173 
(epoch: 11, iters: 8400, time: 0.036, data: 0.004) G_GAN: 0.556 G_L1: 5.140 D_real: 0.242 D_fake: 0.047 
(epoch: 11, iters: 8500, time: 0.036, data: 0.009) G_GAN: 0.701 G_L1: 4.347 D_real: 0.055 D_fake: 0.085 
(epoch: 11, iters: 8600, time: 0.041, data: 0.006) G_GAN: 1.040 G_L1: 5.207 D_real: 0.047 D_fake: 0.068 
(epoch: 11, iters: 8700, time: 0.041, data: 0.003) G_GAN: 0.451 G_L1: 7.010 D_real: 0.187 D_fake: 0.057 
(epoch: 11, iters: 8800, time: 0.038, data: 0.003) G_GAN: 0.637 G_L1: 5.648 D_real: 0.257 D_fake: 0.029 
(epoch: 11, iters: 8900, time: 0.037, data: 0.011) G_GAN: 0.618 G_L1: 5.640 D_real: 0.198 D_fake: 0.025 
(epoch: 11, iters: 9000, time: 0.039, data: 0.003) G_GAN: 0.482 G_L1: 4.835 D_real: 0.223 D_fake: 0.042 
(epoch: 11, iters: 9100, time: 0.038, data: 0.004) G_GAN: 0.750 G_L1: 4.608 D_real: 0.039 D_fake: 0.216 
(epoch: 11, iters: 9200, time: 0.039, data: 0.023) G_GAN: 0.756 G_L1: 5.603 D_real: 0.064 D_fake: 0.079 
(epoch: 11, iters: 9300, time: 0.039, data: 0.006) G_GAN: 0.506 G_L1: 4.749 D_real: 0.157 D_fake: 0.081 
(epoch: 11, iters: 9400, time: 0.040, data: 0.008) G_GAN: 0.658 G_L1: 6.388 D_real: 0.093 D_fake: 0.044 
(epoch: 11, iters: 9500, time: 0.039, data: 0.004) G_GAN: 0.675 G_L1: 4.856 D_real: 0.081 D_fake: 0.078 
(epoch: 11, iters: 9600, time: 0.039, data: 0.003) G_GAN: 0.688 G_L1: 5.291 D_real: 0.224 D_fake: 0.057 
(epoch: 11, iters: 9700, time: 0.039, data: 0.009) G_GAN: 0.797 G_L1: 6.567 D_real: 0.077 D_fake: 0.033 
(epoch: 11, iters: 9800, time: 0.036, data: 0.004) G_GAN: 0.574 G_L1: 5.407 D_real: 0.158 D_fake: 0.026 
(epoch: 11, iters: 9900, time: 0.035, data: 0.007) G_GAN: 0.602 G_L1: 4.347 D_real: 0.098 D_fake: 0.082 
(epoch: 11, iters: 10000, time: 0.095, data: 0.015) G_GAN: 0.613 G_L1: 5.059 D_real: 0.062 D_fake: 0.098 
saving the latest model (epoch 11, total_iters 490000)
(epoch: 11, iters: 10100, time: 0.036, data: 0.003) G_GAN: 0.865 G_L1: 5.479 D_real: 0.063 D_fake: 0.042 
(epoch: 11, iters: 10200, time: 0.037, data: 0.015) G_GAN: 0.844 G_L1: 5.483 D_real: 0.039 D_fake: 0.040 
(epoch: 11, iters: 10300, time: 0.040, data: 0.003) G_GAN: 0.926 G_L1: 6.192 D_real: 0.042 D_fake: 0.086 
(epoch: 11, iters: 10400, time: 0.037, data: 0.004) G_GAN: 0.967 G_L1: 4.661 D_real: 0.034 D_fake: 0.229 
(epoch: 11, iters: 10500, time: 0.042, data: 0.005) G_GAN: 0.659 G_L1: 5.465 D_real: 0.094 D_fake: 0.103 
(epoch: 11, iters: 10600, time: 0.036, data: 0.003) G_GAN: 0.862 G_L1: 4.851 D_real: 0.092 D_fake: 0.207 
(epoch: 11, iters: 10700, time: 0.040, data: 0.003) G_GAN: 0.842 G_L1: 5.479 D_real: 0.039 D_fake: 0.140 
(epoch: 11, iters: 10800, time: 0.041, data: 0.003) G_GAN: 0.652 G_L1: 5.860 D_real: 0.040 D_fake: 0.114 
(epoch: 11, iters: 10900, time: 0.041, data: 0.012) G_GAN: 0.509 G_L1: 5.838 D_real: 0.385 D_fake: 0.031 
(epoch: 11, iters: 11000, time: 0.038, data: 0.003) G_GAN: 0.683 G_L1: 5.593 D_real: 0.030 D_fake: 0.294 
(epoch: 11, iters: 11100, time: 0.043, data: 0.004) G_GAN: 0.774 G_L1: 5.570 D_real: 0.053 D_fake: 0.095 
(epoch: 11, iters: 11200, time: 0.034, data: 0.003) G_GAN: 0.462 G_L1: 5.012 D_real: 0.237 D_fake: 0.050 
(epoch: 11, iters: 11300, time: 0.042, data: 0.004) G_GAN: 0.861 G_L1: 4.921 D_real: 0.162 D_fake: 0.029 
(epoch: 11, iters: 11400, time: 0.041, data: 0.003) G_GAN: 0.862 G_L1: 5.792 D_real: 0.046 D_fake: 0.287 
(epoch: 11, iters: 11500, time: 0.039, data: 0.004) G_GAN: 1.093 G_L1: 4.043 D_real: 0.032 D_fake: 0.060 
(epoch: 11, iters: 11600, time: 0.036, data: 0.004) G_GAN: 0.779 G_L1: 5.702 D_real: 0.052 D_fake: 0.199 
(epoch: 11, iters: 11700, time: 0.039, data: 0.010) G_GAN: 0.542 G_L1: 5.142 D_real: 0.127 D_fake: 0.094 
(epoch: 11, iters: 11800, time: 0.038, data: 0.008) G_GAN: 0.885 G_L1: 4.964 D_real: 0.039 D_fake: 0.110 
(epoch: 11, iters: 11900, time: 0.043, data: 0.015) G_GAN: 0.672 G_L1: 4.854 D_real: 0.071 D_fake: 0.169 
(epoch: 11, iters: 12000, time: 0.080, data: 0.003) G_GAN: 1.011 G_L1: 5.770 D_real: 0.035 D_fake: 0.051 
(epoch: 11, iters: 12100, time: 0.041, data: 0.003) G_GAN: 0.785 G_L1: 4.858 D_real: 0.131 D_fake: 0.053 
(epoch: 11, iters: 12200, time: 0.042, data: 0.003) G_GAN: 0.873 G_L1: 5.025 D_real: 0.469 D_fake: 0.146 
(epoch: 11, iters: 12300, time: 0.039, data: 0.004) G_GAN: 0.719 G_L1: 4.806 D_real: 0.205 D_fake: 0.051 
(epoch: 11, iters: 12400, time: 0.040, data: 0.003) G_GAN: 0.630 G_L1: 4.484 D_real: 0.036 D_fake: 0.142 
(epoch: 11, iters: 12500, time: 0.037, data: 0.004) G_GAN: 0.970 G_L1: 5.344 D_real: 0.034 D_fake: 0.054 
(epoch: 11, iters: 12600, time: 0.041, data: 0.003) G_GAN: 0.559 G_L1: 4.558 D_real: 0.305 D_fake: 0.039 
(epoch: 11, iters: 12700, time: 0.042, data: 0.004) G_GAN: 1.391 G_L1: 5.511 D_real: 0.240 D_fake: 0.091 
(epoch: 11, iters: 12800, time: 0.042, data: 0.003) G_GAN: 0.657 G_L1: 5.506 D_real: 0.045 D_fake: 0.205 
(epoch: 11, iters: 12900, time: 0.041, data: 0.003) G_GAN: 0.609 G_L1: 5.149 D_real: 0.109 D_fake: 0.173 
(epoch: 11, iters: 13000, time: 0.041, data: 0.014) G_GAN: 0.552 G_L1: 5.378 D_real: 0.082 D_fake: 0.114 
(epoch: 11, iters: 13100, time: 0.044, data: 0.010) G_GAN: 0.908 G_L1: 4.743 D_real: 0.147 D_fake: 0.068 
(epoch: 11, iters: 13200, time: 0.043, data: 0.002) G_GAN: 0.675 G_L1: 4.855 D_real: 0.117 D_fake: 0.033 
(epoch: 11, iters: 13300, time: 0.042, data: 0.003) G_GAN: 0.678 G_L1: 5.931 D_real: 0.162 D_fake: 0.033 
(epoch: 11, iters: 13400, time: 0.039, data: 0.011) G_GAN: 1.027 G_L1: 5.892 D_real: 0.065 D_fake: 0.032 
(epoch: 11, iters: 13500, time: 0.041, data: 0.005) G_GAN: 1.122 G_L1: 5.574 D_real: 0.052 D_fake: 0.279 
(epoch: 11, iters: 13600, time: 0.040, data: 0.005) G_GAN: 0.540 G_L1: 4.631 D_real: 0.182 D_fake: 0.041 
(epoch: 11, iters: 13700, time: 0.038, data: 0.003) G_GAN: 0.531 G_L1: 5.452 D_real: 0.257 D_fake: 0.054 
(epoch: 11, iters: 13800, time: 0.041, data: 0.003) G_GAN: 0.949 G_L1: 5.104 D_real: 0.043 D_fake: 0.063 
(epoch: 11, iters: 13900, time: 0.040, data: 0.010) G_GAN: 1.047 G_L1: 5.815 D_real: 0.050 D_fake: 0.153 
(epoch: 11, iters: 14000, time: 0.088, data: 0.005) G_GAN: 0.654 G_L1: 4.976 D_real: 0.059 D_fake: 0.035 
(epoch: 11, iters: 14100, time: 0.037, data: 0.003) G_GAN: 0.741 G_L1: 5.612 D_real: 0.082 D_fake: 0.060 
(epoch: 11, iters: 14200, time: 0.037, data: 0.003) G_GAN: 0.979 G_L1: 5.295 D_real: 0.039 D_fake: 0.156 
(epoch: 11, iters: 14300, time: 0.037, data: 0.004) G_GAN: 0.548 G_L1: 6.137 D_real: 0.112 D_fake: 0.134 
(epoch: 11, iters: 14400, time: 0.037, data: 0.014) G_GAN: 0.997 G_L1: 4.865 D_real: 0.057 D_fake: 0.122 
(epoch: 11, iters: 14500, time: 0.040, data: 0.003) G_GAN: 1.020 G_L1: 5.132 D_real: 0.056 D_fake: 0.190 
(epoch: 11, iters: 14600, time: 0.036, data: 0.004) G_GAN: 1.214 G_L1: 5.885 D_real: 0.060 D_fake: 0.167 
(epoch: 11, iters: 14700, time: 0.039, data: 0.011) G_GAN: 0.861 G_L1: 5.940 D_real: 0.040 D_fake: 0.078 
(epoch: 11, iters: 14800, time: 0.042, data: 0.003) G_GAN: 0.935 G_L1: 6.140 D_real: 0.100 D_fake: 0.028 
(epoch: 11, iters: 14900, time: 0.040, data: 0.003) G_GAN: 0.757 G_L1: 6.304 D_real: 0.047 D_fake: 0.046 
(epoch: 11, iters: 15000, time: 0.041, data: 0.003) G_GAN: 0.526 G_L1: 5.858 D_real: 0.289 D_fake: 0.027 
saving the latest model (epoch 11, total_iters 495000)
(epoch: 11, iters: 15100, time: 0.041, data: 0.003) G_GAN: 0.710 G_L1: 6.048 D_real: 0.061 D_fake: 0.078 
(epoch: 11, iters: 15200, time: 0.039, data: 0.003) G_GAN: 0.423 G_L1: 4.844 D_real: 0.467 D_fake: 0.034 
(epoch: 11, iters: 15300, time: 0.038, data: 0.004) G_GAN: 0.607 G_L1: 5.672 D_real: 0.217 D_fake: 0.033 
(epoch: 11, iters: 15400, time: 0.040, data: 0.004) G_GAN: 0.762 G_L1: 5.076 D_real: 0.109 D_fake: 0.073 
(epoch: 11, iters: 15500, time: 0.040, data: 0.002) G_GAN: 0.436 G_L1: 6.364 D_real: 0.145 D_fake: 0.103 
(epoch: 11, iters: 15600, time: 0.040, data: 0.004) G_GAN: 0.838 G_L1: 6.140 D_real: 0.059 D_fake: 0.067 
(epoch: 11, iters: 15700, time: 0.041, data: 0.003) G_GAN: 0.716 G_L1: 5.671 D_real: 0.090 D_fake: 0.050 
(epoch: 11, iters: 15800, time: 0.041, data: 0.003) G_GAN: 0.930 G_L1: 4.974 D_real: 0.032 D_fake: 0.244 
(epoch: 11, iters: 15900, time: 0.037, data: 0.001) G_GAN: 0.885 G_L1: 5.529 D_real: 0.038 D_fake: 0.037 
(epoch: 11, iters: 16000, time: 0.077, data: 0.003) G_GAN: 0.514 G_L1: 5.925 D_real: 0.190 D_fake: 0.063 
(epoch: 11, iters: 16100, time: 0.042, data: 0.002) G_GAN: 1.138 G_L1: 4.592 D_real: 0.036 D_fake: 0.069 
(epoch: 11, iters: 16200, time: 0.038, data: 0.004) G_GAN: 0.785 G_L1: 4.771 D_real: 0.067 D_fake: 0.144 
(epoch: 11, iters: 16300, time: 0.043, data: 0.003) G_GAN: 0.564 G_L1: 6.034 D_real: 0.145 D_fake: 0.043 
(epoch: 11, iters: 16400, time: 0.040, data: 0.003) G_GAN: 0.753 G_L1: 5.540 D_real: 0.036 D_fake: 0.135 
(epoch: 11, iters: 16500, time: 0.040, data: 0.003) G_GAN: 0.953 G_L1: 5.555 D_real: 0.189 D_fake: 0.160 
(epoch: 11, iters: 16600, time: 0.041, data: 0.003) G_GAN: 0.967 G_L1: 5.208 D_real: 0.035 D_fake: 0.125 
(epoch: 11, iters: 16700, time: 0.038, data: 0.004) G_GAN: 0.816 G_L1: 4.717 D_real: 0.026 D_fake: 0.127 
(epoch: 11, iters: 16800, time: 0.038, data: 0.011) G_GAN: 1.619 G_L1: 6.812 D_real: 0.105 D_fake: 0.052 
(epoch: 11, iters: 16900, time: 0.037, data: 0.004) G_GAN: 0.709 G_L1: 5.515 D_real: 0.059 D_fake: 0.069 
(epoch: 11, iters: 17000, time: 0.039, data: 0.003) G_GAN: 0.756 G_L1: 4.770 D_real: 0.056 D_fake: 0.060 
(epoch: 11, iters: 17100, time: 0.043, data: 0.003) G_GAN: 0.960 G_L1: 5.942 D_real: 0.028 D_fake: 0.034 
(epoch: 11, iters: 17200, time: 0.038, data: 0.011) G_GAN: 0.551 G_L1: 4.565 D_real: 0.217 D_fake: 0.029 
(epoch: 11, iters: 17300, time: 0.038, data: 0.004) G_GAN: 0.630 G_L1: 4.810 D_real: 0.251 D_fake: 0.026 
(epoch: 11, iters: 17400, time: 0.038, data: 0.010) G_GAN: 0.502 G_L1: 5.360 D_real: 0.072 D_fake: 0.211 
(epoch: 11, iters: 17500, time: 0.042, data: 0.011) G_GAN: 0.807 G_L1: 5.689 D_real: 0.047 D_fake: 0.131 
(epoch: 11, iters: 17600, time: 0.045, data: 0.004) G_GAN: 0.571 G_L1: 5.123 D_real: 0.230 D_fake: 0.027 
(epoch: 11, iters: 17700, time: 0.044, data: 0.011) G_GAN: 0.444 G_L1: 4.859 D_real: 0.056 D_fake: 0.144 
(epoch: 11, iters: 17800, time: 0.042, data: 0.003) G_GAN: 0.856 G_L1: 5.927 D_real: 0.036 D_fake: 0.068 
(epoch: 11, iters: 17900, time: 0.038, data: 0.003) G_GAN: 0.730 G_L1: 4.473 D_real: 0.112 D_fake: 0.029 
(epoch: 11, iters: 18000, time: 0.065, data: 0.011) G_GAN: 0.779 G_L1: 6.550 D_real: 0.048 D_fake: 0.067 
(epoch: 11, iters: 18100, time: 0.037, data: 0.002) G_GAN: 0.477 G_L1: 5.839 D_real: 0.242 D_fake: 0.040 
(epoch: 11, iters: 18200, time: 0.042, data: 0.003) G_GAN: 0.785 G_L1: 5.641 D_real: 0.094 D_fake: 0.125 
(epoch: 11, iters: 18300, time: 0.044, data: 0.003) G_GAN: 0.671 G_L1: 6.449 D_real: 0.102 D_fake: 0.036 
(epoch: 11, iters: 18400, time: 0.032, data: 0.003) G_GAN: 1.025 G_L1: 4.757 D_real: 0.050 D_fake: 0.293 
(epoch: 11, iters: 18500, time: 0.037, data: 0.003) G_GAN: 0.906 G_L1: 5.334 D_real: 0.033 D_fake: 0.244 
(epoch: 11, iters: 18600, time: 0.040, data: 0.003) G_GAN: 0.633 G_L1: 5.773 D_real: 0.106 D_fake: 0.043 
(epoch: 11, iters: 18700, time: 0.037, data: 0.003) G_GAN: 0.830 G_L1: 5.026 D_real: 0.068 D_fake: 0.051 
(epoch: 11, iters: 18800, time: 0.040, data: 0.003) G_GAN: 0.931 G_L1: 5.232 D_real: 0.046 D_fake: 0.049 
(epoch: 11, iters: 18900, time: 0.038, data: 0.004) G_GAN: 0.813 G_L1: 4.913 D_real: 0.107 D_fake: 0.038 
(epoch: 11, iters: 19000, time: 0.043, data: 0.003) G_GAN: 0.666 G_L1: 5.608 D_real: 0.063 D_fake: 0.064 
(epoch: 11, iters: 19100, time: 0.037, data: 0.003) G_GAN: 0.617 G_L1: 5.081 D_real: 0.159 D_fake: 0.032 
(epoch: 11, iters: 19200, time: 0.037, data: 0.003) G_GAN: 0.809 G_L1: 5.645 D_real: 0.053 D_fake: 0.074 
(epoch: 11, iters: 19300, time: 0.041, data: 0.004) G_GAN: 0.853 G_L1: 5.662 D_real: 0.078 D_fake: 0.089 
(epoch: 11, iters: 19400, time: 0.039, data: 0.014) G_GAN: 0.590 G_L1: 4.336 D_real: 0.103 D_fake: 0.090 
(epoch: 11, iters: 19500, time: 0.047, data: 0.004) G_GAN: 0.717 G_L1: 5.715 D_real: 0.141 D_fake: 0.045 
(epoch: 11, iters: 19600, time: 0.039, data: 0.010) G_GAN: 1.190 G_L1: 6.181 D_real: 0.037 D_fake: 0.161 
(epoch: 11, iters: 19700, time: 0.039, data: 0.004) G_GAN: 0.601 G_L1: 4.818 D_real: 0.079 D_fake: 0.117 
(epoch: 11, iters: 19800, time: 0.039, data: 0.015) G_GAN: 0.563 G_L1: 5.019 D_real: 0.072 D_fake: 0.031 
(epoch: 11, iters: 19900, time: 0.037, data: 0.005) G_GAN: 0.631 G_L1: 5.480 D_real: 0.122 D_fake: 0.050 
(epoch: 11, iters: 20000, time: 0.067, data: 0.004) G_GAN: 0.729 G_L1: 6.107 D_real: 0.094 D_fake: 0.058 
saving the latest model (epoch 11, total_iters 500000)
(epoch: 11, iters: 20100, time: 0.044, data: 0.004) G_GAN: 0.927 G_L1: 5.301 D_real: 0.037 D_fake: 0.121 
(epoch: 11, iters: 20200, time: 0.041, data: 0.003) G_GAN: 0.781 G_L1: 4.784 D_real: 0.189 D_fake: 0.051 
(epoch: 11, iters: 20300, time: 0.040, data: 0.003) G_GAN: 0.864 G_L1: 6.327 D_real: 0.089 D_fake: 0.028 
(epoch: 11, iters: 20400, time: 0.042, data: 0.015) G_GAN: 1.442 G_L1: 5.855 D_real: 0.047 D_fake: 0.169 
(epoch: 11, iters: 20500, time: 0.040, data: 0.003) G_GAN: 1.526 G_L1: 6.099 D_real: 0.073 D_fake: 0.220 
(epoch: 11, iters: 20600, time: 0.042, data: 0.003) G_GAN: 0.773 G_L1: 4.759 D_real: 0.033 D_fake: 0.131 
(epoch: 11, iters: 20700, time: 0.042, data: 0.005) G_GAN: 0.576 G_L1: 4.340 D_real: 0.060 D_fake: 0.178 
(epoch: 11, iters: 20800, time: 0.037, data: 0.011) G_GAN: 0.804 G_L1: 6.039 D_real: 0.070 D_fake: 0.067 
(epoch: 11, iters: 20900, time: 0.040, data: 0.004) G_GAN: 0.720 G_L1: 4.901 D_real: 0.118 D_fake: 0.058 
(epoch: 11, iters: 21000, time: 0.040, data: 0.003) G_GAN: 1.562 G_L1: 4.099 D_real: 0.175 D_fake: 0.728 
(epoch: 11, iters: 21100, time: 0.043, data: 0.003) G_GAN: 0.339 G_L1: 5.751 D_real: 0.149 D_fake: 0.426 
(epoch: 11, iters: 21200, time: 0.042, data: 0.005) G_GAN: 0.336 G_L1: 5.148 D_real: 0.447 D_fake: 0.220 
(epoch: 11, iters: 21300, time: 0.037, data: 0.004) G_GAN: 0.289 G_L1: 3.870 D_real: 0.327 D_fake: 0.258 
(epoch: 11, iters: 21400, time: 0.043, data: 0.003) G_GAN: 0.194 G_L1: 5.652 D_real: 0.154 D_fake: 0.475 
(epoch: 11, iters: 21500, time: 0.042, data: 0.003) G_GAN: 0.335 G_L1: 3.751 D_real: 0.290 D_fake: 0.227 
(epoch: 11, iters: 21600, time: 0.042, data: 0.003) G_GAN: 0.264 G_L1: 4.898 D_real: 0.262 D_fake: 0.263 
(epoch: 11, iters: 21700, time: 0.038, data: 0.003) G_GAN: 0.278 G_L1: 4.933 D_real: 0.296 D_fake: 0.236 
(epoch: 11, iters: 21800, time: 0.042, data: 0.003) G_GAN: 0.202 G_L1: 5.297 D_real: 0.282 D_fake: 0.359 
(epoch: 11, iters: 21900, time: 0.035, data: 0.004) G_GAN: 0.262 G_L1: 5.907 D_real: 0.257 D_fake: 0.307 
(epoch: 11, iters: 22000, time: 0.085, data: 0.011) G_GAN: 0.273 G_L1: 5.579 D_real: 0.223 D_fake: 0.267 
(epoch: 11, iters: 22100, time: 0.043, data: 0.003) G_GAN: 0.311 G_L1: 4.450 D_real: 0.293 D_fake: 0.225 
(epoch: 11, iters: 22200, time: 0.039, data: 0.009) G_GAN: 0.267 G_L1: 4.472 D_real: 0.239 D_fake: 0.297 
(epoch: 11, iters: 22300, time: 0.040, data: 0.003) G_GAN: 0.271 G_L1: 4.980 D_real: 0.245 D_fake: 0.283 
(epoch: 11, iters: 22400, time: 0.038, data: 0.002) G_GAN: 0.278 G_L1: 4.317 D_real: 0.254 D_fake: 0.248 
(epoch: 11, iters: 22500, time: 0.039, data: 0.003) G_GAN: 0.326 G_L1: 4.700 D_real: 0.268 D_fake: 0.190 
(epoch: 11, iters: 22600, time: 0.042, data: 0.005) G_GAN: 0.329 G_L1: 5.076 D_real: 0.346 D_fake: 0.180 
(epoch: 11, iters: 22700, time: 0.040, data: 0.011) G_GAN: 0.288 G_L1: 5.492 D_real: 0.222 D_fake: 0.238 
(epoch: 11, iters: 22800, time: 0.040, data: 0.003) G_GAN: 0.305 G_L1: 5.708 D_real: 0.242 D_fake: 0.235 
(epoch: 11, iters: 22900, time: 0.043, data: 0.003) G_GAN: 0.231 G_L1: 4.184 D_real: 0.183 D_fake: 0.354 
(epoch: 11, iters: 23000, time: 0.039, data: 0.003) G_GAN: 0.318 G_L1: 4.672 D_real: 0.219 D_fake: 0.179 
(epoch: 11, iters: 23100, time: 0.040, data: 0.004) G_GAN: 0.262 G_L1: 5.032 D_real: 0.165 D_fake: 0.296 
(epoch: 11, iters: 23200, time: 0.038, data: 0.004) G_GAN: 0.280 G_L1: 3.957 D_real: 0.328 D_fake: 0.235 
(epoch: 11, iters: 23300, time: 0.042, data: 0.003) G_GAN: 0.265 G_L1: 4.348 D_real: 0.302 D_fake: 0.190 
(epoch: 11, iters: 23400, time: 0.037, data: 0.005) G_GAN: 0.280 G_L1: 4.164 D_real: 0.176 D_fake: 0.309 
(epoch: 11, iters: 23500, time: 0.037, data: 0.003) G_GAN: 0.272 G_L1: 4.184 D_real: 0.207 D_fake: 0.303 
(epoch: 11, iters: 23600, time: 0.036, data: 0.004) G_GAN: 0.298 G_L1: 4.139 D_real: 0.261 D_fake: 0.207 
(epoch: 11, iters: 23700, time: 0.037, data: 0.004) G_GAN: 0.302 G_L1: 4.590 D_real: 0.286 D_fake: 0.197 
(epoch: 11, iters: 23800, time: 0.036, data: 0.003) G_GAN: 0.422 G_L1: 5.931 D_real: 0.061 D_fake: 0.389 
(epoch: 11, iters: 23900, time: 0.039, data: 0.003) G_GAN: 0.407 G_L1: 4.658 D_real: 0.128 D_fake: 0.284 
(epoch: 11, iters: 24000, time: 0.082, data: 0.003) G_GAN: 0.331 G_L1: 4.655 D_real: 0.518 D_fake: 0.053 
(epoch: 11, iters: 24100, time: 0.039, data: 0.003) G_GAN: 0.268 G_L1: 4.680 D_real: 0.147 D_fake: 0.326 
(epoch: 11, iters: 24200, time: 0.044, data: 0.003) G_GAN: 0.355 G_L1: 4.387 D_real: 0.146 D_fake: 0.243 
(epoch: 11, iters: 24300, time: 0.040, data: 0.004) G_GAN: 0.226 G_L1: 5.161 D_real: 0.382 D_fake: 0.106 
(epoch: 11, iters: 24400, time: 0.040, data: 0.004) G_GAN: 0.291 G_L1: 4.666 D_real: 0.097 D_fake: 0.364 
(epoch: 11, iters: 24500, time: 0.040, data: 0.014) G_GAN: 0.265 G_L1: 5.206 D_real: 0.137 D_fake: 0.240 
(epoch: 11, iters: 24600, time: 0.038, data: 0.003) G_GAN: 0.186 G_L1: 4.236 D_real: 0.120 D_fake: 0.380 
(epoch: 11, iters: 24700, time: 0.040, data: 0.003) G_GAN: 0.251 G_L1: 4.850 D_real: 0.145 D_fake: 0.354 
(epoch: 11, iters: 24800, time: 0.041, data: 0.004) G_GAN: 0.258 G_L1: 4.465 D_real: 0.222 D_fake: 0.298 
(epoch: 11, iters: 24900, time: 0.038, data: 0.003) G_GAN: 0.326 G_L1: 4.147 D_real: 0.447 D_fake: 0.151 
(epoch: 11, iters: 25000, time: 0.043, data: 0.003) G_GAN: 0.285 G_L1: 3.858 D_real: 0.275 D_fake: 0.238 
saving the latest model (epoch 11, total_iters 505000)
(epoch: 11, iters: 25100, time: 0.041, data: 0.003) G_GAN: 0.300 G_L1: 5.308 D_real: 0.192 D_fake: 0.230 
(epoch: 11, iters: 25200, time: 0.041, data: 0.003) G_GAN: 0.334 G_L1: 4.366 D_real: 0.173 D_fake: 0.350 
(epoch: 11, iters: 25300, time: 0.041, data: 0.004) G_GAN: 0.298 G_L1: 4.552 D_real: 0.228 D_fake: 0.200 
(epoch: 11, iters: 25400, time: 0.037, data: 0.004) G_GAN: 0.326 G_L1: 5.231 D_real: 0.145 D_fake: 0.262 
(epoch: 11, iters: 25500, time: 0.042, data: 0.004) G_GAN: 0.337 G_L1: 4.810 D_real: 0.169 D_fake: 0.265 
(epoch: 11, iters: 25600, time: 0.035, data: 0.013) G_GAN: 0.334 G_L1: 5.627 D_real: 0.305 D_fake: 0.150 
(epoch: 11, iters: 25700, time: 0.041, data: 0.003) G_GAN: 0.356 G_L1: 4.457 D_real: 0.168 D_fake: 0.284 
(epoch: 11, iters: 25800, time: 0.042, data: 0.003) G_GAN: 0.386 G_L1: 5.146 D_real: 0.249 D_fake: 0.089 
(epoch: 11, iters: 25900, time: 0.039, data: 0.003) G_GAN: 0.373 G_L1: 4.428 D_real: 0.138 D_fake: 0.324 
(epoch: 11, iters: 26000, time: 0.083, data: 0.005) G_GAN: 0.260 G_L1: 4.318 D_real: 0.421 D_fake: 0.090 
(epoch: 11, iters: 26100, time: 0.042, data: 0.003) G_GAN: 0.321 G_L1: 5.010 D_real: 0.209 D_fake: 0.219 
(epoch: 11, iters: 26200, time: 0.035, data: 0.003) G_GAN: 0.356 G_L1: 4.812 D_real: 0.109 D_fake: 0.347 
(epoch: 11, iters: 26300, time: 0.040, data: 0.004) G_GAN: 0.374 G_L1: 5.821 D_real: 0.095 D_fake: 0.319 
(epoch: 11, iters: 26400, time: 0.042, data: 0.003) G_GAN: 0.330 G_L1: 4.981 D_real: 0.228 D_fake: 0.144 
(epoch: 11, iters: 26500, time: 0.036, data: 0.005) G_GAN: 0.474 G_L1: 4.987 D_real: 0.361 D_fake: 0.217 
(epoch: 11, iters: 26600, time: 0.041, data: 0.004) G_GAN: 0.365 G_L1: 5.726 D_real: 0.237 D_fake: 0.132 
(epoch: 11, iters: 26700, time: 0.043, data: 0.010) G_GAN: 0.374 G_L1: 5.532 D_real: 0.156 D_fake: 0.222 
(epoch: 11, iters: 26800, time: 0.042, data: 0.003) G_GAN: 0.304 G_L1: 5.103 D_real: 0.397 D_fake: 0.148 
(epoch: 11, iters: 26900, time: 0.039, data: 0.010) G_GAN: 0.459 G_L1: 5.735 D_real: 0.090 D_fake: 0.274 
(epoch: 11, iters: 27000, time: 0.039, data: 0.004) G_GAN: 0.543 G_L1: 5.420 D_real: 0.215 D_fake: 0.085 
(epoch: 11, iters: 27100, time: 0.041, data: 0.004) G_GAN: 0.553 G_L1: 5.181 D_real: 0.107 D_fake: 0.200 
(epoch: 11, iters: 27200, time: 0.039, data: 0.004) G_GAN: 0.462 G_L1: 5.167 D_real: 0.241 D_fake: 0.075 
(epoch: 11, iters: 27300, time: 0.042, data: 0.003) G_GAN: 0.458 G_L1: 5.254 D_real: 0.157 D_fake: 0.139 
(epoch: 11, iters: 27400, time: 0.041, data: 0.003) G_GAN: 0.490 G_L1: 5.188 D_real: 0.159 D_fake: 0.131 
(epoch: 11, iters: 27500, time: 0.040, data: 0.004) G_GAN: 0.468 G_L1: 5.464 D_real: 0.061 D_fake: 0.199 
(epoch: 11, iters: 27600, time: 0.036, data: 0.003) G_GAN: 0.677 G_L1: 6.206 D_real: 0.057 D_fake: 0.121 
(epoch: 11, iters: 27700, time: 0.042, data: 0.003) G_GAN: 0.557 G_L1: 5.911 D_real: 0.034 D_fake: 0.360 
(epoch: 11, iters: 27800, time: 0.037, data: 0.003) G_GAN: 0.593 G_L1: 4.738 D_real: 0.087 D_fake: 0.135 
(epoch: 11, iters: 27900, time: 0.037, data: 0.003) G_GAN: 0.606 G_L1: 5.281 D_real: 0.148 D_fake: 0.071 
(epoch: 11, iters: 28000, time: 0.082, data: 0.003) G_GAN: 0.824 G_L1: 5.354 D_real: 0.056 D_fake: 0.167 
(epoch: 11, iters: 28100, time: 0.039, data: 0.002) G_GAN: 0.738 G_L1: 5.758 D_real: 0.060 D_fake: 0.078 
(epoch: 11, iters: 28200, time: 0.039, data: 0.005) G_GAN: 0.509 G_L1: 5.085 D_real: 0.111 D_fake: 0.087 
(epoch: 11, iters: 28300, time: 0.040, data: 0.014) G_GAN: 0.681 G_L1: 6.473 D_real: 0.091 D_fake: 0.111 
(epoch: 11, iters: 28400, time: 0.040, data: 0.003) G_GAN: 0.576 G_L1: 4.528 D_real: 0.216 D_fake: 0.034 
(epoch: 11, iters: 28500, time: 0.037, data: 0.017) G_GAN: 0.562 G_L1: 5.761 D_real: 0.054 D_fake: 0.150 
(epoch: 11, iters: 28600, time: 0.048, data: 0.003) G_GAN: 0.530 G_L1: 5.680 D_real: 0.134 D_fake: 0.075 
(epoch: 11, iters: 28700, time: 0.042, data: 0.003) G_GAN: 0.412 G_L1: 5.276 D_real: 0.193 D_fake: 0.041 
(epoch: 11, iters: 28800, time: 0.035, data: 0.002) G_GAN: 0.871 G_L1: 6.668 D_real: 0.029 D_fake: 0.075 
(epoch: 11, iters: 28900, time: 0.040, data: 0.003) G_GAN: 0.662 G_L1: 6.270 D_real: 0.053 D_fake: 0.081 
(epoch: 11, iters: 29000, time: 0.037, data: 0.003) G_GAN: 0.786 G_L1: 5.650 D_real: 0.124 D_fake: 0.040 
(epoch: 11, iters: 29100, time: 0.039, data: 0.002) G_GAN: 0.410 G_L1: 5.371 D_real: 0.053 D_fake: 0.256 
(epoch: 11, iters: 29200, time: 0.042, data: 0.003) G_GAN: 0.751 G_L1: 4.356 D_real: 0.077 D_fake: 0.097 
(epoch: 11, iters: 29300, time: 0.038, data: 0.012) G_GAN: 0.570 G_L1: 4.585 D_real: 0.277 D_fake: 0.033 
(epoch: 11, iters: 29400, time: 0.038, data: 0.003) G_GAN: 1.113 G_L1: 5.923 D_real: 0.041 D_fake: 0.255 
(epoch: 11, iters: 29500, time: 0.043, data: 0.003) G_GAN: 0.664 G_L1: 5.336 D_real: 0.051 D_fake: 0.076 
(epoch: 11, iters: 29600, time: 0.039, data: 0.003) G_GAN: 0.698 G_L1: 4.653 D_real: 0.035 D_fake: 0.088 
(epoch: 11, iters: 29700, time: 0.040, data: 0.003) G_GAN: 0.592 G_L1: 5.199 D_real: 0.213 D_fake: 0.026 
(epoch: 11, iters: 29800, time: 0.039, data: 0.004) G_GAN: 0.802 G_L1: 5.143 D_real: 0.067 D_fake: 0.027 
(epoch: 11, iters: 29900, time: 0.040, data: 0.004) G_GAN: 0.728 G_L1: 6.561 D_real: 0.107 D_fake: 0.045 
(epoch: 11, iters: 30000, time: 0.081, data: 0.013) G_GAN: 0.615 G_L1: 6.554 D_real: 0.058 D_fake: 0.126 
saving the latest model (epoch 11, total_iters 510000)
(epoch: 11, iters: 30100, time: 0.042, data: 0.003) G_GAN: 0.661 G_L1: 5.199 D_real: 0.063 D_fake: 0.053 
(epoch: 11, iters: 30200, time: 0.042, data: 0.006) G_GAN: 0.886 G_L1: 6.502 D_real: 0.051 D_fake: 0.066 
(epoch: 11, iters: 30300, time: 0.040, data: 0.003) G_GAN: 0.797 G_L1: 4.867 D_real: 0.157 D_fake: 0.027 
(epoch: 11, iters: 30400, time: 0.038, data: 0.003) G_GAN: 0.573 G_L1: 5.291 D_real: 0.044 D_fake: 0.164 
(epoch: 11, iters: 30500, time: 0.043, data: 0.004) G_GAN: 0.967 G_L1: 6.182 D_real: 0.041 D_fake: 0.049 
(epoch: 11, iters: 30600, time: 0.042, data: 0.015) G_GAN: 0.723 G_L1: 6.166 D_real: 0.040 D_fake: 0.175 
(epoch: 11, iters: 30700, time: 0.040, data: 0.006) G_GAN: 0.902 G_L1: 4.733 D_real: 0.026 D_fake: 0.070 
(epoch: 11, iters: 30800, time: 0.038, data: 0.004) G_GAN: 0.507 G_L1: 5.874 D_real: 0.249 D_fake: 0.026 
(epoch: 11, iters: 30900, time: 0.039, data: 0.003) G_GAN: 0.753 G_L1: 4.988 D_real: 0.054 D_fake: 0.094 
(epoch: 11, iters: 31000, time: 0.043, data: 0.003) G_GAN: 0.605 G_L1: 4.950 D_real: 0.166 D_fake: 0.063 
(epoch: 11, iters: 31100, time: 0.042, data: 0.004) G_GAN: 0.405 G_L1: 5.892 D_real: 0.056 D_fake: 0.145 
(epoch: 11, iters: 31200, time: 0.043, data: 0.003) G_GAN: 0.831 G_L1: 5.220 D_real: 0.040 D_fake: 0.034 
(epoch: 11, iters: 31300, time: 0.040, data: 0.003) G_GAN: 0.650 G_L1: 6.022 D_real: 0.043 D_fake: 0.102 
(epoch: 11, iters: 31400, time: 0.038, data: 0.004) G_GAN: 0.486 G_L1: 4.914 D_real: 0.081 D_fake: 0.154 
(epoch: 11, iters: 31500, time: 0.037, data: 0.010) G_GAN: 0.471 G_L1: 5.958 D_real: 0.122 D_fake: 0.076 
(epoch: 11, iters: 31600, time: 0.039, data: 0.005) G_GAN: 0.714 G_L1: 4.409 D_real: 0.034 D_fake: 0.186 
(epoch: 11, iters: 31700, time: 0.038, data: 0.003) G_GAN: 0.767 G_L1: 5.163 D_real: 0.063 D_fake: 0.033 
(epoch: 11, iters: 31800, time: 0.037, data: 0.004) G_GAN: 0.866 G_L1: 6.065 D_real: 0.049 D_fake: 0.053 
(epoch: 11, iters: 31900, time: 0.044, data: 0.010) G_GAN: 0.588 G_L1: 6.216 D_real: 0.063 D_fake: 0.212 
(epoch: 11, iters: 32000, time: 0.073, data: 0.012) G_GAN: 0.608 G_L1: 5.191 D_real: 0.042 D_fake: 0.121 
(epoch: 11, iters: 32100, time: 0.042, data: 0.003) G_GAN: 0.594 G_L1: 5.223 D_real: 0.142 D_fake: 0.091 
(epoch: 11, iters: 32200, time: 0.034, data: 0.004) G_GAN: 0.652 G_L1: 4.469 D_real: 0.124 D_fake: 0.109 
(epoch: 11, iters: 32300, time: 0.035, data: 0.009) G_GAN: 0.904 G_L1: 4.339 D_real: 0.036 D_fake: 0.092 
(epoch: 11, iters: 32400, time: 0.038, data: 0.003) G_GAN: 0.789 G_L1: 4.477 D_real: 0.155 D_fake: 0.024 
(epoch: 11, iters: 32500, time: 0.042, data: 0.004) G_GAN: 0.663 G_L1: 6.329 D_real: 0.038 D_fake: 0.338 
(epoch: 11, iters: 32600, time: 0.042, data: 0.003) G_GAN: 0.982 G_L1: 6.042 D_real: 0.031 D_fake: 0.101 
(epoch: 11, iters: 32700, time: 0.041, data: 0.003) G_GAN: 0.727 G_L1: 6.217 D_real: 0.058 D_fake: 0.120 
(epoch: 11, iters: 32800, time: 0.041, data: 0.004) G_GAN: 0.674 G_L1: 4.821 D_real: 0.028 D_fake: 0.199 
(epoch: 11, iters: 32900, time: 0.042, data: 0.003) G_GAN: 0.502 G_L1: 6.138 D_real: 0.185 D_fake: 0.043 
(epoch: 11, iters: 33000, time: 0.035, data: 0.003) G_GAN: 0.873 G_L1: 5.319 D_real: 0.029 D_fake: 0.032 
(epoch: 11, iters: 33100, time: 0.038, data: 0.003) G_GAN: 0.601 G_L1: 6.042 D_real: 0.132 D_fake: 0.072 
(epoch: 11, iters: 33200, time: 0.041, data: 0.003) G_GAN: 0.515 G_L1: 4.237 D_real: 0.066 D_fake: 0.177 
(epoch: 11, iters: 33300, time: 0.042, data: 0.003) G_GAN: 1.052 G_L1: 5.671 D_real: 0.030 D_fake: 0.210 
(epoch: 11, iters: 33400, time: 0.043, data: 0.004) G_GAN: 0.560 G_L1: 5.299 D_real: 0.165 D_fake: 0.050 
(epoch: 11, iters: 33500, time: 0.032, data: 0.004) G_GAN: 0.464 G_L1: 5.725 D_real: 0.132 D_fake: 0.139 
(epoch: 11, iters: 33600, time: 0.043, data: 0.006) G_GAN: 0.589 G_L1: 4.212 D_real: 0.085 D_fake: 0.112 
(epoch: 11, iters: 33700, time: 0.037, data: 0.004) G_GAN: 0.975 G_L1: 5.255 D_real: 0.041 D_fake: 0.422 
(epoch: 11, iters: 33800, time: 0.039, data: 0.003) G_GAN: 0.762 G_L1: 4.367 D_real: 0.081 D_fake: 0.026 
(epoch: 11, iters: 33900, time: 0.042, data: 0.008) G_GAN: 0.763 G_L1: 4.207 D_real: 0.033 D_fake: 0.134 
(epoch: 11, iters: 34000, time: 0.067, data: 0.014) G_GAN: 0.529 G_L1: 4.983 D_real: 0.082 D_fake: 0.188 
(epoch: 11, iters: 34100, time: 0.036, data: 0.006) G_GAN: 0.588 G_L1: 4.779 D_real: 0.214 D_fake: 0.068 
(epoch: 11, iters: 34200, time: 0.042, data: 0.017) G_GAN: 0.459 G_L1: 5.607 D_real: 0.074 D_fake: 0.064 
(epoch: 11, iters: 34300, time: 0.032, data: 0.003) G_GAN: 0.675 G_L1: 4.663 D_real: 0.214 D_fake: 0.029 
(epoch: 11, iters: 34400, time: 0.041, data: 0.003) G_GAN: 1.041 G_L1: 5.508 D_real: 0.026 D_fake: 0.079 
(epoch: 11, iters: 34500, time: 0.037, data: 0.008) G_GAN: 0.674 G_L1: 5.259 D_real: 0.034 D_fake: 0.332 
(epoch: 11, iters: 34600, time: 0.040, data: 0.004) G_GAN: 0.857 G_L1: 5.253 D_real: 0.060 D_fake: 0.019 
(epoch: 11, iters: 34700, time: 0.042, data: 0.003) G_GAN: 0.683 G_L1: 4.611 D_real: 0.030 D_fake: 0.265 
(epoch: 11, iters: 34800, time: 0.041, data: 0.005) G_GAN: 0.504 G_L1: 4.256 D_real: 0.211 D_fake: 0.069 
(epoch: 11, iters: 34900, time: 0.039, data: 0.004) G_GAN: 1.003 G_L1: 5.557 D_real: 0.075 D_fake: 0.034 
(epoch: 11, iters: 35000, time: 0.041, data: 0.004) G_GAN: 0.669 G_L1: 4.201 D_real: 0.117 D_fake: 0.060 
saving the latest model (epoch 11, total_iters 515000)
(epoch: 11, iters: 35100, time: 0.039, data: 0.003) G_GAN: 0.471 G_L1: 5.659 D_real: 0.410 D_fake: 0.031 
(epoch: 11, iters: 35200, time: 0.041, data: 0.003) G_GAN: 1.487 G_L1: 5.450 D_real: 0.111 D_fake: 0.204 
(epoch: 11, iters: 35300, time: 0.038, data: 0.002) G_GAN: 0.398 G_L1: 4.512 D_real: 0.159 D_fake: 0.147 
(epoch: 11, iters: 35400, time: 0.039, data: 0.003) G_GAN: 0.665 G_L1: 4.962 D_real: 0.056 D_fake: 0.123 
(epoch: 11, iters: 35500, time: 0.044, data: 0.004) G_GAN: 0.649 G_L1: 4.366 D_real: 0.238 D_fake: 0.034 
(epoch: 11, iters: 35600, time: 0.040, data: 0.002) G_GAN: 1.045 G_L1: 5.326 D_real: 0.040 D_fake: 0.091 
(epoch: 11, iters: 35700, time: 0.041, data: 0.004) G_GAN: 0.719 G_L1: 6.573 D_real: 0.066 D_fake: 0.132 
(epoch: 11, iters: 35800, time: 0.040, data: 0.003) G_GAN: 0.502 G_L1: 4.937 D_real: 0.111 D_fake: 0.090 
(epoch: 11, iters: 35900, time: 0.042, data: 0.003) G_GAN: 0.806 G_L1: 5.674 D_real: 0.059 D_fake: 0.146 
(epoch: 11, iters: 36000, time: 0.077, data: 0.004) G_GAN: 0.768 G_L1: 5.093 D_real: 0.032 D_fake: 0.216 
(epoch: 11, iters: 36100, time: 0.038, data: 0.006) G_GAN: 0.806 G_L1: 6.000 D_real: 0.049 D_fake: 0.046 
(epoch: 11, iters: 36200, time: 0.035, data: 0.003) G_GAN: 0.597 G_L1: 4.004 D_real: 0.042 D_fake: 0.143 
(epoch: 11, iters: 36300, time: 0.037, data: 0.004) G_GAN: 0.730 G_L1: 4.648 D_real: 0.069 D_fake: 0.092 
(epoch: 11, iters: 36400, time: 0.038, data: 0.004) G_GAN: 1.015 G_L1: 4.957 D_real: 0.040 D_fake: 0.051 
(epoch: 11, iters: 36500, time: 0.041, data: 0.009) G_GAN: 1.127 G_L1: 5.639 D_real: 0.036 D_fake: 0.094 
(epoch: 11, iters: 36600, time: 0.040, data: 0.003) G_GAN: 0.670 G_L1: 6.061 D_real: 0.078 D_fake: 0.100 
(epoch: 11, iters: 36700, time: 0.037, data: 0.014) G_GAN: 0.606 G_L1: 6.525 D_real: 0.347 D_fake: 0.036 
(epoch: 11, iters: 36800, time: 0.039, data: 0.004) G_GAN: 0.559 G_L1: 4.730 D_real: 0.104 D_fake: 0.126 
(epoch: 11, iters: 36900, time: 0.037, data: 0.007) G_GAN: 0.631 G_L1: 6.291 D_real: 0.116 D_fake: 0.035 
(epoch: 11, iters: 37000, time: 0.039, data: 0.008) G_GAN: 0.491 G_L1: 4.785 D_real: 0.176 D_fake: 0.110 
(epoch: 11, iters: 37100, time: 0.042, data: 0.005) G_GAN: 0.941 G_L1: 4.948 D_real: 0.034 D_fake: 0.216 
(epoch: 11, iters: 37200, time: 0.040, data: 0.003) G_GAN: 0.594 G_L1: 5.565 D_real: 0.225 D_fake: 0.030 
(epoch: 11, iters: 37300, time: 0.044, data: 0.003) G_GAN: 0.484 G_L1: 5.726 D_real: 0.446 D_fake: 0.049 
(epoch: 11, iters: 37400, time: 0.037, data: 0.003) G_GAN: 0.521 G_L1: 5.694 D_real: 0.181 D_fake: 0.067 
(epoch: 11, iters: 37500, time: 0.045, data: 0.003) G_GAN: 0.415 G_L1: 6.147 D_real: 0.273 D_fake: 0.023 
(epoch: 11, iters: 37600, time: 0.038, data: 0.004) G_GAN: 1.210 G_L1: 5.692 D_real: 0.104 D_fake: 0.210 
(epoch: 11, iters: 37700, time: 0.038, data: 0.003) G_GAN: 0.797 G_L1: 4.826 D_real: 0.066 D_fake: 0.042 
(epoch: 11, iters: 37800, time: 0.042, data: 0.004) G_GAN: 0.390 G_L1: 4.332 D_real: 0.268 D_fake: 0.093 
(epoch: 11, iters: 37900, time: 0.034, data: 0.004) G_GAN: 0.754 G_L1: 5.743 D_real: 0.073 D_fake: 0.078 
(epoch: 11, iters: 38000, time: 0.082, data: 0.003) G_GAN: 0.442 G_L1: 4.988 D_real: 0.315 D_fake: 0.034 
(epoch: 11, iters: 38100, time: 0.041, data: 0.003) G_GAN: 0.707 G_L1: 5.170 D_real: 0.051 D_fake: 0.112 
(epoch: 11, iters: 38200, time: 0.039, data: 0.004) G_GAN: 0.637 G_L1: 4.938 D_real: 0.081 D_fake: 0.128 
(epoch: 11, iters: 38300, time: 0.037, data: 0.003) G_GAN: 0.647 G_L1: 4.896 D_real: 0.143 D_fake: 0.063 
(epoch: 11, iters: 38400, time: 0.037, data: 0.010) G_GAN: 0.926 G_L1: 4.912 D_real: 0.038 D_fake: 0.217 
(epoch: 11, iters: 38500, time: 0.039, data: 0.003) G_GAN: 0.472 G_L1: 4.896 D_real: 0.171 D_fake: 0.032 
(epoch: 11, iters: 38600, time: 0.041, data: 0.003) G_GAN: 0.880 G_L1: 4.525 D_real: 0.061 D_fake: 0.099 
(epoch: 11, iters: 38700, time: 0.040, data: 0.009) G_GAN: 0.844 G_L1: 4.403 D_real: 0.041 D_fake: 0.190 
(epoch: 11, iters: 38800, time: 0.042, data: 0.003) G_GAN: 1.006 G_L1: 5.594 D_real: 0.083 D_fake: 0.029 
(epoch: 11, iters: 38900, time: 0.038, data: 0.003) G_GAN: 0.571 G_L1: 5.009 D_real: 0.129 D_fake: 0.031 
(epoch: 11, iters: 39000, time: 0.042, data: 0.003) G_GAN: 0.850 G_L1: 5.510 D_real: 0.088 D_fake: 0.062 
(epoch: 11, iters: 39100, time: 0.036, data: 0.003) G_GAN: 0.671 G_L1: 4.424 D_real: 0.050 D_fake: 0.113 
(epoch: 11, iters: 39200, time: 0.040, data: 0.003) G_GAN: 0.536 G_L1: 5.345 D_real: 0.109 D_fake: 0.100 
(epoch: 11, iters: 39300, time: 0.037, data: 0.003) G_GAN: 0.474 G_L1: 5.911 D_real: 0.074 D_fake: 0.277 
(epoch: 11, iters: 39400, time: 0.040, data: 0.005) G_GAN: 0.682 G_L1: 4.544 D_real: 0.165 D_fake: 0.045 
(epoch: 11, iters: 39500, time: 0.036, data: 0.004) G_GAN: 0.675 G_L1: 5.118 D_real: 0.246 D_fake: 0.041 
(epoch: 11, iters: 39600, time: 0.036, data: 0.004) G_GAN: 0.993 G_L1: 4.721 D_real: 0.082 D_fake: 0.068 
(epoch: 11, iters: 39700, time: 0.040, data: 0.004) G_GAN: 0.494 G_L1: 4.752 D_real: 0.257 D_fake: 0.065 
(epoch: 11, iters: 39800, time: 0.036, data: 0.003) G_GAN: 0.630 G_L1: 6.297 D_real: 0.130 D_fake: 0.052 
(epoch: 11, iters: 39900, time: 0.042, data: 0.010) G_GAN: 0.549 G_L1: 5.363 D_real: 0.277 D_fake: 0.048 
(epoch: 11, iters: 40000, time: 0.081, data: 0.006) G_GAN: 0.579 G_L1: 5.258 D_real: 0.129 D_fake: 0.063 
saving the latest model (epoch 11, total_iters 520000)
(epoch: 11, iters: 40100, time: 0.038, data: 0.003) G_GAN: 0.923 G_L1: 6.471 D_real: 0.083 D_fake: 0.311 
(epoch: 11, iters: 40200, time: 0.039, data: 0.003) G_GAN: 0.452 G_L1: 5.686 D_real: 0.293 D_fake: 0.031 
(epoch: 11, iters: 40300, time: 0.037, data: 0.006) G_GAN: 0.909 G_L1: 5.589 D_real: 0.053 D_fake: 0.041 
(epoch: 11, iters: 40400, time: 0.039, data: 0.003) G_GAN: 0.682 G_L1: 5.720 D_real: 0.075 D_fake: 0.046 
(epoch: 11, iters: 40500, time: 0.038, data: 0.003) G_GAN: 0.781 G_L1: 4.885 D_real: 0.067 D_fake: 0.049 
(epoch: 11, iters: 40600, time: 0.042, data: 0.005) G_GAN: 0.807 G_L1: 4.824 D_real: 0.150 D_fake: 0.033 
(epoch: 11, iters: 40700, time: 0.035, data: 0.011) G_GAN: 0.792 G_L1: 4.914 D_real: 0.045 D_fake: 0.132 
(epoch: 11, iters: 40800, time: 0.041, data: 0.003) G_GAN: 0.764 G_L1: 5.705 D_real: 0.154 D_fake: 0.033 
(epoch: 11, iters: 40900, time: 0.041, data: 0.004) G_GAN: 0.547 G_L1: 6.113 D_real: 0.116 D_fake: 0.029 
(epoch: 11, iters: 41000, time: 0.041, data: 0.003) G_GAN: 0.728 G_L1: 4.871 D_real: 0.074 D_fake: 0.089 
(epoch: 11, iters: 41100, time: 0.040, data: 0.004) G_GAN: 1.017 G_L1: 5.464 D_real: 0.041 D_fake: 0.063 
(epoch: 11, iters: 41200, time: 0.038, data: 0.003) G_GAN: 0.816 G_L1: 4.958 D_real: 0.086 D_fake: 0.039 
(epoch: 11, iters: 41300, time: 0.039, data: 0.008) G_GAN: 0.927 G_L1: 5.109 D_real: 0.033 D_fake: 0.114 
(epoch: 11, iters: 41400, time: 0.040, data: 0.003) G_GAN: 0.601 G_L1: 4.792 D_real: 0.187 D_fake: 0.046 
(epoch: 11, iters: 41500, time: 0.039, data: 0.004) G_GAN: 1.050 G_L1: 6.789 D_real: 0.044 D_fake: 0.133 
(epoch: 11, iters: 41600, time: 0.037, data: 0.005) G_GAN: 0.531 G_L1: 5.501 D_real: 0.090 D_fake: 0.199 
(epoch: 11, iters: 41700, time: 0.038, data: 0.003) G_GAN: 0.658 G_L1: 5.248 D_real: 0.067 D_fake: 0.067 
(epoch: 11, iters: 41800, time: 0.041, data: 0.006) G_GAN: 0.772 G_L1: 5.419 D_real: 0.078 D_fake: 0.064 
(epoch: 11, iters: 41900, time: 0.039, data: 0.004) G_GAN: 1.026 G_L1: 5.975 D_real: 0.068 D_fake: 0.029 
(epoch: 11, iters: 42000, time: 0.074, data: 0.003) G_GAN: 0.580 G_L1: 5.474 D_real: 0.163 D_fake: 0.071 
(epoch: 11, iters: 42100, time: 0.038, data: 0.003) G_GAN: 0.472 G_L1: 5.934 D_real: 0.485 D_fake: 0.037 
(epoch: 11, iters: 42200, time: 0.038, data: 0.003) G_GAN: 0.719 G_L1: 5.114 D_real: 0.075 D_fake: 0.144 
(epoch: 11, iters: 42300, time: 0.039, data: 0.004) G_GAN: 0.734 G_L1: 5.137 D_real: 0.072 D_fake: 0.033 
(epoch: 11, iters: 42400, time: 0.038, data: 0.003) G_GAN: 0.465 G_L1: 5.417 D_real: 0.302 D_fake: 0.037 
(epoch: 11, iters: 42500, time: 0.037, data: 0.003) G_GAN: 1.122 G_L1: 4.470 D_real: 0.050 D_fake: 0.108 
(epoch: 11, iters: 42600, time: 0.040, data: 0.003) G_GAN: 0.812 G_L1: 4.978 D_real: 0.035 D_fake: 0.159 
(epoch: 11, iters: 42700, time: 0.042, data: 0.004) G_GAN: 0.981 G_L1: 5.679 D_real: 0.036 D_fake: 0.089 
(epoch: 11, iters: 42800, time: 0.039, data: 0.003) G_GAN: 0.933 G_L1: 4.729 D_real: 0.029 D_fake: 0.121 
(epoch: 11, iters: 42900, time: 0.041, data: 0.003) G_GAN: 0.656 G_L1: 5.903 D_real: 0.084 D_fake: 0.034 
(epoch: 11, iters: 43000, time: 0.046, data: 0.005) G_GAN: 1.130 G_L1: 4.907 D_real: 0.030 D_fake: 0.268 
(epoch: 11, iters: 43100, time: 0.040, data: 0.003) G_GAN: 0.775 G_L1: 4.601 D_real: 0.068 D_fake: 0.054 
(epoch: 11, iters: 43200, time: 0.038, data: 0.003) G_GAN: 0.548 G_L1: 4.933 D_real: 0.122 D_fake: 0.037 
(epoch: 11, iters: 43300, time: 0.041, data: 0.004) G_GAN: 0.698 G_L1: 5.218 D_real: 0.121 D_fake: 0.048 
(epoch: 11, iters: 43400, time: 0.043, data: 0.004) G_GAN: 0.812 G_L1: 5.104 D_real: 0.124 D_fake: 0.026 
(epoch: 11, iters: 43500, time: 0.037, data: 0.009) G_GAN: 0.873 G_L1: 4.834 D_real: 0.036 D_fake: 0.064 
(epoch: 11, iters: 43600, time: 0.038, data: 0.003) G_GAN: 0.977 G_L1: 5.769 D_real: 0.065 D_fake: 0.276 
(epoch: 11, iters: 43700, time: 0.038, data: 0.004) G_GAN: 0.629 G_L1: 4.971 D_real: 0.194 D_fake: 0.030 
(epoch: 11, iters: 43800, time: 0.039, data: 0.010) G_GAN: 0.803 G_L1: 4.798 D_real: 0.085 D_fake: 0.196 
(epoch: 11, iters: 43900, time: 0.043, data: 0.003) G_GAN: 0.999 G_L1: 4.978 D_real: 0.052 D_fake: 0.045 
(epoch: 11, iters: 44000, time: 0.079, data: 0.003) G_GAN: 0.808 G_L1: 5.048 D_real: 0.067 D_fake: 0.052 
(epoch: 11, iters: 44100, time: 0.040, data: 0.003) G_GAN: 0.611 G_L1: 5.900 D_real: 0.138 D_fake: 0.035 
(epoch: 11, iters: 44200, time: 0.042, data: 0.018) G_GAN: 0.779 G_L1: 5.004 D_real: 0.095 D_fake: 0.071 
(epoch: 11, iters: 44300, time: 0.038, data: 0.003) G_GAN: 0.626 G_L1: 4.376 D_real: 0.258 D_fake: 0.048 
(epoch: 11, iters: 44400, time: 0.042, data: 0.003) G_GAN: 0.866 G_L1: 5.343 D_real: 0.055 D_fake: 0.098 
(epoch: 11, iters: 44500, time: 0.040, data: 0.004) G_GAN: 0.649 G_L1: 5.450 D_real: 0.099 D_fake: 0.044 
(epoch: 11, iters: 44600, time: 0.037, data: 0.003) G_GAN: 0.754 G_L1: 5.993 D_real: 0.028 D_fake: 0.195 
(epoch: 11, iters: 44700, time: 0.041, data: 0.004) G_GAN: 0.714 G_L1: 6.389 D_real: 0.065 D_fake: 0.068 
(epoch: 11, iters: 44800, time: 0.041, data: 0.003) G_GAN: 0.483 G_L1: 4.835 D_real: 0.121 D_fake: 0.275 
(epoch: 11, iters: 44900, time: 0.045, data: 0.003) G_GAN: 0.845 G_L1: 5.115 D_real: 0.036 D_fake: 0.405 
(epoch: 11, iters: 45000, time: 0.046, data: 0.009) G_GAN: 0.648 G_L1: 5.264 D_real: 0.068 D_fake: 0.043 
saving the latest model (epoch 11, total_iters 525000)
(epoch: 11, iters: 45100, time: 0.038, data: 0.003) G_GAN: 0.656 G_L1: 5.345 D_real: 0.116 D_fake: 0.130 
(epoch: 11, iters: 45200, time: 0.037, data: 0.004) G_GAN: 0.612 G_L1: 5.524 D_real: 0.153 D_fake: 0.040 
(epoch: 11, iters: 45300, time: 0.036, data: 0.003) G_GAN: 0.741 G_L1: 7.219 D_real: 0.070 D_fake: 0.076 
(epoch: 11, iters: 45400, time: 0.035, data: 0.020) G_GAN: 0.589 G_L1: 7.349 D_real: 0.448 D_fake: 0.120 
(epoch: 11, iters: 45500, time: 0.040, data: 0.004) G_GAN: 0.322 G_L1: 4.333 D_real: 0.328 D_fake: 0.273 
(epoch: 11, iters: 45600, time: 0.039, data: 0.004) G_GAN: 0.298 G_L1: 4.127 D_real: 0.232 D_fake: 0.268 
(epoch: 11, iters: 45700, time: 0.039, data: 0.003) G_GAN: 0.252 G_L1: 4.601 D_real: 0.089 D_fake: 0.506 
(epoch: 11, iters: 45800, time: 0.041, data: 0.013) G_GAN: 0.330 G_L1: 5.679 D_real: 0.309 D_fake: 0.182 
(epoch: 11, iters: 45900, time: 0.040, data: 0.014) G_GAN: 0.287 G_L1: 4.839 D_real: 0.161 D_fake: 0.277 
(epoch: 11, iters: 46000, time: 0.078, data: 0.009) G_GAN: 0.291 G_L1: 4.838 D_real: 0.304 D_fake: 0.242 
(epoch: 11, iters: 46100, time: 0.041, data: 0.003) G_GAN: 0.383 G_L1: 4.251 D_real: 0.383 D_fake: 0.159 
(epoch: 11, iters: 46200, time: 0.042, data: 0.007) G_GAN: 0.204 G_L1: 5.191 D_real: 0.142 D_fake: 0.378 
(epoch: 11, iters: 46300, time: 0.040, data: 0.003) G_GAN: 0.290 G_L1: 4.715 D_real: 0.357 D_fake: 0.248 
(epoch: 11, iters: 46400, time: 0.036, data: 0.003) G_GAN: 0.277 G_L1: 4.472 D_real: 0.238 D_fake: 0.265 
(epoch: 11, iters: 46500, time: 0.041, data: 0.003) G_GAN: 0.255 G_L1: 4.906 D_real: 0.253 D_fake: 0.292 
(epoch: 11, iters: 46600, time: 0.036, data: 0.010) G_GAN: 0.314 G_L1: 5.431 D_real: 0.224 D_fake: 0.243 
(epoch: 11, iters: 46700, time: 0.042, data: 0.004) G_GAN: 0.281 G_L1: 5.211 D_real: 0.179 D_fake: 0.300 
(epoch: 11, iters: 46800, time: 0.039, data: 0.003) G_GAN: 0.291 G_L1: 6.392 D_real: 0.215 D_fake: 0.225 
(epoch: 11, iters: 46900, time: 0.039, data: 0.002) G_GAN: 0.291 G_L1: 5.158 D_real: 0.186 D_fake: 0.293 
(epoch: 11, iters: 47000, time: 0.042, data: 0.003) G_GAN: 0.312 G_L1: 4.937 D_real: 0.240 D_fake: 0.216 
(epoch: 11, iters: 47100, time: 0.034, data: 0.004) G_GAN: 0.274 G_L1: 4.195 D_real: 0.198 D_fake: 0.291 
(epoch: 11, iters: 47200, time: 0.041, data: 0.004) G_GAN: 0.361 G_L1: 4.708 D_real: 0.293 D_fake: 0.194 
(epoch: 11, iters: 47300, time: 0.040, data: 0.004) G_GAN: 0.369 G_L1: 4.961 D_real: 0.317 D_fake: 0.128 
(epoch: 11, iters: 47400, time: 0.039, data: 0.004) G_GAN: 0.361 G_L1: 5.011 D_real: 0.272 D_fake: 0.129 
(epoch: 11, iters: 47500, time: 0.041, data: 0.012) G_GAN: 0.323 G_L1: 4.750 D_real: 0.185 D_fake: 0.258 
(epoch: 11, iters: 47600, time: 0.040, data: 0.003) G_GAN: 0.344 G_L1: 5.839 D_real: 0.211 D_fake: 0.210 
(epoch: 11, iters: 47700, time: 0.036, data: 0.005) G_GAN: 0.303 G_L1: 5.214 D_real: 0.238 D_fake: 0.183 
(epoch: 11, iters: 47800, time: 0.036, data: 0.003) G_GAN: 0.313 G_L1: 4.194 D_real: 0.162 D_fake: 0.252 
(epoch: 11, iters: 47900, time: 0.037, data: 0.003) G_GAN: 0.316 G_L1: 5.933 D_real: 0.173 D_fake: 0.266 
(epoch: 11, iters: 48000, time: 0.066, data: 0.003) G_GAN: 0.295 G_L1: 4.116 D_real: 0.219 D_fake: 0.255 
End of epoch 11 / 20 	 Time Taken: 1226 sec
learning rate 0.0001636 -> 0.0001455
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
(epoch: 12, iters: 100, time: 0.038, data: 0.548) G_GAN: 0.254 G_L1: 4.513 D_real: 0.178 D_fake: 0.254 
(epoch: 12, iters: 200, time: 0.036, data: 0.002) G_GAN: 0.305 G_L1: 4.364 D_real: 0.114 D_fake: 0.339 
(epoch: 12, iters: 300, time: 0.038, data: 0.009) G_GAN: 0.366 G_L1: 4.658 D_real: 0.284 D_fake: 0.120 
(epoch: 12, iters: 400, time: 0.066, data: 0.013) G_GAN: 0.321 G_L1: 5.723 D_real: 0.215 D_fake: 0.202 
(epoch: 12, iters: 500, time: 0.039, data: 0.003) G_GAN: 0.421 G_L1: 5.181 D_real: 0.232 D_fake: 0.102 
(epoch: 12, iters: 600, time: 0.039, data: 0.004) G_GAN: 0.272 G_L1: 4.609 D_real: 0.210 D_fake: 0.248 
(epoch: 12, iters: 700, time: 0.042, data: 0.004) G_GAN: 0.295 G_L1: 4.613 D_real: 0.162 D_fake: 0.232 
(epoch: 12, iters: 800, time: 0.039, data: 0.004) G_GAN: 0.212 G_L1: 5.002 D_real: 0.195 D_fake: 0.220 
(epoch: 12, iters: 900, time: 0.041, data: 0.006) G_GAN: 0.312 G_L1: 4.007 D_real: 0.257 D_fake: 0.251 
(epoch: 12, iters: 1000, time: 0.042, data: 0.008) G_GAN: 0.392 G_L1: 4.355 D_real: 0.226 D_fake: 0.198 
(epoch: 12, iters: 1100, time: 0.042, data: 0.002) G_GAN: 0.466 G_L1: 5.342 D_real: 0.117 D_fake: 0.239 
(epoch: 12, iters: 1200, time: 0.039, data: 0.003) G_GAN: 0.213 G_L1: 4.399 D_real: 0.422 D_fake: 0.083 
(epoch: 12, iters: 1300, time: 0.037, data: 0.004) G_GAN: 0.340 G_L1: 4.656 D_real: 0.178 D_fake: 0.263 
(epoch: 12, iters: 1400, time: 0.037, data: 0.004) G_GAN: 0.343 G_L1: 4.524 D_real: 0.400 D_fake: 0.106 
(epoch: 12, iters: 1500, time: 0.037, data: 0.011) G_GAN: 0.332 G_L1: 5.184 D_real: 0.175 D_fake: 0.219 
(epoch: 12, iters: 1600, time: 0.038, data: 0.003) G_GAN: 0.384 G_L1: 4.365 D_real: 0.338 D_fake: 0.086 
(epoch: 12, iters: 1700, time: 0.044, data: 0.004) G_GAN: 0.471 G_L1: 5.189 D_real: 0.374 D_fake: 0.093 
(epoch: 12, iters: 1800, time: 0.037, data: 0.014) G_GAN: 0.306 G_L1: 4.813 D_real: 0.160 D_fake: 0.267 
(epoch: 12, iters: 1900, time: 0.039, data: 0.010) G_GAN: 0.340 G_L1: 4.053 D_real: 0.392 D_fake: 0.110 
(epoch: 12, iters: 2000, time: 0.068, data: 0.005) G_GAN: 0.328 G_L1: 4.501 D_real: 0.118 D_fake: 0.304 
saving the latest model (epoch 12, total_iters 530000)
(epoch: 12, iters: 2100, time: 0.036, data: 0.002) G_GAN: 0.371 G_L1: 5.095 D_real: 0.152 D_fake: 0.186 
(epoch: 12, iters: 2200, time: 0.037, data: 0.004) G_GAN: 0.287 G_L1: 5.001 D_real: 0.170 D_fake: 0.244 
(epoch: 12, iters: 2300, time: 0.039, data: 0.010) G_GAN: 0.378 G_L1: 4.980 D_real: 0.267 D_fake: 0.124 
(epoch: 12, iters: 2400, time: 0.041, data: 0.003) G_GAN: 0.252 G_L1: 4.767 D_real: 0.381 D_fake: 0.153 
(epoch: 12, iters: 2500, time: 0.036, data: 0.003) G_GAN: 0.428 G_L1: 5.042 D_real: 0.274 D_fake: 0.066 
(epoch: 12, iters: 2600, time: 0.040, data: 0.004) G_GAN: 0.274 G_L1: 4.058 D_real: 0.221 D_fake: 0.207 
(epoch: 12, iters: 2700, time: 0.039, data: 0.003) G_GAN: 0.419 G_L1: 5.132 D_real: 0.357 D_fake: 0.091 
(epoch: 12, iters: 2800, time: 0.040, data: 0.003) G_GAN: 0.358 G_L1: 4.587 D_real: 0.073 D_fake: 0.281 
(epoch: 12, iters: 2900, time: 0.040, data: 0.004) G_GAN: 0.306 G_L1: 4.675 D_real: 0.159 D_fake: 0.267 
(epoch: 12, iters: 3000, time: 0.044, data: 0.005) G_GAN: 0.330 G_L1: 5.891 D_real: 0.172 D_fake: 0.247 
(epoch: 12, iters: 3100, time: 0.040, data: 0.004) G_GAN: 0.387 G_L1: 4.637 D_real: 0.320 D_fake: 0.090 
(epoch: 12, iters: 3200, time: 0.043, data: 0.003) G_GAN: 0.441 G_L1: 5.041 D_real: 0.194 D_fake: 0.142 
(epoch: 12, iters: 3300, time: 0.038, data: 0.004) G_GAN: 0.474 G_L1: 5.284 D_real: 0.208 D_fake: 0.124 
(epoch: 12, iters: 3400, time: 0.043, data: 0.003) G_GAN: 0.480 G_L1: 5.238 D_real: 0.102 D_fake: 0.122 
(epoch: 12, iters: 3500, time: 0.036, data: 0.006) G_GAN: 0.397 G_L1: 4.342 D_real: 0.132 D_fake: 0.193 
(epoch: 12, iters: 3600, time: 0.036, data: 0.003) G_GAN: 0.578 G_L1: 4.661 D_real: 0.054 D_fake: 0.150 
(epoch: 12, iters: 3700, time: 0.035, data: 0.009) G_GAN: 0.528 G_L1: 5.851 D_real: 0.131 D_fake: 0.043 
(epoch: 12, iters: 3800, time: 0.035, data: 0.004) G_GAN: 0.808 G_L1: 6.342 D_real: 0.039 D_fake: 0.075 
(epoch: 12, iters: 3900, time: 0.040, data: 0.008) G_GAN: 0.435 G_L1: 5.535 D_real: 0.171 D_fake: 0.190 
(epoch: 12, iters: 4000, time: 0.089, data: 0.004) G_GAN: 0.681 G_L1: 6.470 D_real: 0.038 D_fake: 0.114 
(epoch: 12, iters: 4100, time: 0.038, data: 0.003) G_GAN: 0.586 G_L1: 4.941 D_real: 0.061 D_fake: 0.093 
(epoch: 12, iters: 4200, time: 0.036, data: 0.008) G_GAN: 0.529 G_L1: 4.847 D_real: 0.151 D_fake: 0.091 
(epoch: 12, iters: 4300, time: 0.037, data: 0.014) G_GAN: 0.586 G_L1: 5.047 D_real: 0.147 D_fake: 0.090 
(epoch: 12, iters: 4400, time: 0.042, data: 0.006) G_GAN: 0.622 G_L1: 5.749 D_real: 0.101 D_fake: 0.059 
(epoch: 12, iters: 4500, time: 0.039, data: 0.005) G_GAN: 0.474 G_L1: 4.910 D_real: 0.207 D_fake: 0.077 
(epoch: 12, iters: 4600, time: 0.039, data: 0.009) G_GAN: 0.554 G_L1: 5.004 D_real: 0.261 D_fake: 0.036 
(epoch: 12, iters: 4700, time: 0.037, data: 0.003) G_GAN: 0.497 G_L1: 4.621 D_real: 0.349 D_fake: 0.040 
(epoch: 12, iters: 4800, time: 0.039, data: 0.004) G_GAN: 0.399 G_L1: 4.834 D_real: 0.095 D_fake: 0.152 
(epoch: 12, iters: 4900, time: 0.039, data: 0.004) G_GAN: 0.582 G_L1: 4.050 D_real: 0.061 D_fake: 0.153 
(epoch: 12, iters: 5000, time: 0.044, data: 0.003) G_GAN: 0.548 G_L1: 5.042 D_real: 0.216 D_fake: 0.083 
(epoch: 12, iters: 5100, time: 0.041, data: 0.004) G_GAN: 0.431 G_L1: 4.935 D_real: 0.223 D_fake: 0.153 
(epoch: 12, iters: 5200, time: 0.037, data: 0.013) G_GAN: 0.754 G_L1: 5.214 D_real: 0.058 D_fake: 0.050 
(epoch: 12, iters: 5300, time: 0.041, data: 0.003) G_GAN: 0.553 G_L1: 4.834 D_real: 0.032 D_fake: 0.146 
(epoch: 12, iters: 5400, time: 0.040, data: 0.008) G_GAN: 0.518 G_L1: 5.513 D_real: 0.114 D_fake: 0.127 
(epoch: 12, iters: 5500, time: 0.038, data: 0.003) G_GAN: 0.483 G_L1: 5.015 D_real: 0.124 D_fake: 0.111 
(epoch: 12, iters: 5600, time: 0.039, data: 0.003) G_GAN: 0.691 G_L1: 5.460 D_real: 0.061 D_fake: 0.052 
(epoch: 12, iters: 5700, time: 0.039, data: 0.014) G_GAN: 0.751 G_L1: 5.077 D_real: 0.233 D_fake: 0.029 
(epoch: 12, iters: 5800, time: 0.038, data: 0.003) G_GAN: 0.610 G_L1: 6.281 D_real: 0.075 D_fake: 0.050 
(epoch: 12, iters: 5900, time: 0.038, data: 0.010) G_GAN: 0.583 G_L1: 4.599 D_real: 0.135 D_fake: 0.031 
(epoch: 12, iters: 6000, time: 0.082, data: 0.003) G_GAN: 0.511 G_L1: 4.299 D_real: 0.027 D_fake: 0.167 
(epoch: 12, iters: 6100, time: 0.040, data: 0.003) G_GAN: 0.683 G_L1: 6.244 D_real: 0.119 D_fake: 0.036 
(epoch: 12, iters: 6200, time: 0.042, data: 0.003) G_GAN: 0.782 G_L1: 5.974 D_real: 0.057 D_fake: 0.079 
(epoch: 12, iters: 6300, time: 0.040, data: 0.003) G_GAN: 0.479 G_L1: 5.005 D_real: 0.077 D_fake: 0.072 
(epoch: 12, iters: 6400, time: 0.037, data: 0.012) G_GAN: 0.917 G_L1: 4.959 D_real: 0.061 D_fake: 0.036 
(epoch: 12, iters: 6500, time: 0.038, data: 0.003) G_GAN: 0.855 G_L1: 5.487 D_real: 0.028 D_fake: 0.080 
(epoch: 12, iters: 6600, time: 0.037, data: 0.003) G_GAN: 0.665 G_L1: 4.933 D_real: 0.026 D_fake: 0.114 
(epoch: 12, iters: 6700, time: 0.040, data: 0.004) G_GAN: 0.856 G_L1: 5.845 D_real: 0.042 D_fake: 0.120 
(epoch: 12, iters: 6800, time: 0.040, data: 0.003) G_GAN: 0.649 G_L1: 4.333 D_real: 0.192 D_fake: 0.031 
(epoch: 12, iters: 6900, time: 0.043, data: 0.004) G_GAN: 1.036 G_L1: 4.945 D_real: 0.056 D_fake: 0.113 
(epoch: 12, iters: 7000, time: 0.037, data: 0.003) G_GAN: 0.650 G_L1: 5.405 D_real: 0.025 D_fake: 0.140 
saving the latest model (epoch 12, total_iters 535000)
(epoch: 12, iters: 7100, time: 0.040, data: 0.003) G_GAN: 0.724 G_L1: 5.863 D_real: 0.109 D_fake: 0.034 
(epoch: 12, iters: 7200, time: 0.041, data: 0.003) G_GAN: 0.524 G_L1: 4.767 D_real: 0.030 D_fake: 0.274 
(epoch: 12, iters: 7300, time: 0.039, data: 0.004) G_GAN: 0.455 G_L1: 4.797 D_real: 0.112 D_fake: 0.115 
(epoch: 12, iters: 7400, time: 0.036, data: 0.013) G_GAN: 0.706 G_L1: 4.613 D_real: 0.031 D_fake: 0.185 
(epoch: 12, iters: 7500, time: 0.042, data: 0.003) G_GAN: 0.565 G_L1: 6.235 D_real: 0.111 D_fake: 0.081 
(epoch: 12, iters: 7600, time: 0.043, data: 0.003) G_GAN: 0.728 G_L1: 5.266 D_real: 0.041 D_fake: 0.067 
(epoch: 12, iters: 7700, time: 0.038, data: 0.003) G_GAN: 0.858 G_L1: 5.574 D_real: 0.031 D_fake: 0.095 
(epoch: 12, iters: 7800, time: 0.042, data: 0.005) G_GAN: 0.963 G_L1: 5.626 D_real: 0.036 D_fake: 0.056 
(epoch: 12, iters: 7900, time: 0.038, data: 0.003) G_GAN: 0.559 G_L1: 4.895 D_real: 0.084 D_fake: 0.069 
(epoch: 12, iters: 8000, time: 0.081, data: 0.003) G_GAN: 0.693 G_L1: 5.802 D_real: 0.030 D_fake: 0.343 
(epoch: 12, iters: 8100, time: 0.038, data: 0.003) G_GAN: 0.630 G_L1: 5.526 D_real: 0.098 D_fake: 0.041 
(epoch: 12, iters: 8200, time: 0.038, data: 0.004) G_GAN: 0.580 G_L1: 4.990 D_real: 0.128 D_fake: 0.149 
(epoch: 12, iters: 8300, time: 0.041, data: 0.005) G_GAN: 0.692 G_L1: 4.813 D_real: 0.145 D_fake: 0.032 
(epoch: 12, iters: 8400, time: 0.040, data: 0.011) G_GAN: 0.588 G_L1: 5.015 D_real: 0.045 D_fake: 0.146 
(epoch: 12, iters: 8500, time: 0.044, data: 0.004) G_GAN: 0.628 G_L1: 4.900 D_real: 0.031 D_fake: 0.137 
(epoch: 12, iters: 8600, time: 0.042, data: 0.003) G_GAN: 0.799 G_L1: 6.692 D_real: 0.046 D_fake: 0.055 
(epoch: 12, iters: 8700, time: 0.036, data: 0.003) G_GAN: 0.732 G_L1: 5.000 D_real: 0.043 D_fake: 0.079 
(epoch: 12, iters: 8800, time: 0.041, data: 0.003) G_GAN: 0.714 G_L1: 5.399 D_real: 0.039 D_fake: 0.224 
(epoch: 12, iters: 8900, time: 0.040, data: 0.003) G_GAN: 0.584 G_L1: 4.723 D_real: 0.085 D_fake: 0.062 
(epoch: 12, iters: 9000, time: 0.039, data: 0.010) G_GAN: 1.080 G_L1: 5.739 D_real: 0.030 D_fake: 0.095 
(epoch: 12, iters: 9100, time: 0.038, data: 0.003) G_GAN: 0.803 G_L1: 5.097 D_real: 0.098 D_fake: 0.027 
(epoch: 12, iters: 9200, time: 0.037, data: 0.003) G_GAN: 0.674 G_L1: 5.147 D_real: 0.073 D_fake: 0.078 
(epoch: 12, iters: 9300, time: 0.036, data: 0.003) G_GAN: 0.691 G_L1: 4.305 D_real: 0.069 D_fake: 0.051 
(epoch: 12, iters: 9400, time: 0.039, data: 0.003) G_GAN: 0.740 G_L1: 4.557 D_real: 0.047 D_fake: 0.053 
(epoch: 12, iters: 9500, time: 0.037, data: 0.003) G_GAN: 0.523 G_L1: 4.695 D_real: 0.044 D_fake: 0.144 
(epoch: 12, iters: 9600, time: 0.038, data: 0.004) G_GAN: 0.687 G_L1: 5.983 D_real: 0.132 D_fake: 0.044 
(epoch: 12, iters: 9700, time: 0.040, data: 0.010) G_GAN: 0.563 G_L1: 5.241 D_real: 0.227 D_fake: 0.030 
(epoch: 12, iters: 9800, time: 0.037, data: 0.012) G_GAN: 0.874 G_L1: 5.172 D_real: 0.079 D_fake: 0.037 
(epoch: 12, iters: 9900, time: 0.038, data: 0.008) G_GAN: 0.536 G_L1: 5.054 D_real: 0.139 D_fake: 0.034 
(epoch: 12, iters: 10000, time: 0.082, data: 0.003) G_GAN: 0.778 G_L1: 5.958 D_real: 0.067 D_fake: 0.110 
(epoch: 12, iters: 10100, time: 0.040, data: 0.003) G_GAN: 0.792 G_L1: 4.077 D_real: 0.046 D_fake: 0.063 
(epoch: 12, iters: 10200, time: 0.044, data: 0.004) G_GAN: 1.077 G_L1: 4.506 D_real: 0.053 D_fake: 0.023 
(epoch: 12, iters: 10300, time: 0.039, data: 0.003) G_GAN: 1.125 G_L1: 6.015 D_real: 0.029 D_fake: 0.191 
(epoch: 12, iters: 10400, time: 0.043, data: 0.003) G_GAN: 0.856 G_L1: 6.367 D_real: 0.086 D_fake: 0.055 
(epoch: 12, iters: 10500, time: 0.039, data: 0.006) G_GAN: 1.032 G_L1: 4.529 D_real: 0.023 D_fake: 0.035 
(epoch: 12, iters: 10600, time: 0.040, data: 0.003) G_GAN: 0.836 G_L1: 6.013 D_real: 0.026 D_fake: 0.033 
(epoch: 12, iters: 10700, time: 0.039, data: 0.004) G_GAN: 0.811 G_L1: 4.595 D_real: 0.028 D_fake: 0.113 
(epoch: 12, iters: 10800, time: 0.040, data: 0.007) G_GAN: 0.875 G_L1: 5.824 D_real: 0.048 D_fake: 0.105 
(epoch: 12, iters: 10900, time: 0.036, data: 0.003) G_GAN: 0.546 G_L1: 5.052 D_real: 0.280 D_fake: 0.025 
(epoch: 12, iters: 11000, time: 0.040, data: 0.003) G_GAN: 0.592 G_L1: 4.578 D_real: 0.257 D_fake: 0.026 
(epoch: 12, iters: 11100, time: 0.041, data: 0.011) G_GAN: 0.624 G_L1: 6.038 D_real: 0.079 D_fake: 0.133 
(epoch: 12, iters: 11200, time: 0.042, data: 0.003) G_GAN: 0.751 G_L1: 4.827 D_real: 0.033 D_fake: 0.068 
(epoch: 12, iters: 11300, time: 0.041, data: 0.005) G_GAN: 1.250 G_L1: 6.280 D_real: 0.036 D_fake: 0.056 
(epoch: 12, iters: 11400, time: 0.041, data: 0.004) G_GAN: 0.608 G_L1: 5.358 D_real: 0.129 D_fake: 0.048 
(epoch: 12, iters: 11500, time: 0.039, data: 0.003) G_GAN: 0.570 G_L1: 4.760 D_real: 0.170 D_fake: 0.041 
(epoch: 12, iters: 11600, time: 0.037, data: 0.011) G_GAN: 0.901 G_L1: 5.465 D_real: 0.032 D_fake: 0.061 
(epoch: 12, iters: 11700, time: 0.039, data: 0.003) G_GAN: 1.293 G_L1: 6.897 D_real: 0.050 D_fake: 0.180 
(epoch: 12, iters: 11800, time: 0.044, data: 0.004) G_GAN: 0.626 G_L1: 5.354 D_real: 0.317 D_fake: 0.028 
(epoch: 12, iters: 11900, time: 0.042, data: 0.003) G_GAN: 0.707 G_L1: 4.823 D_real: 0.099 D_fake: 0.101 
(epoch: 12, iters: 12000, time: 0.087, data: 0.005) G_GAN: 0.536 G_L1: 6.193 D_real: 0.454 D_fake: 0.033 
saving the latest model (epoch 12, total_iters 540000)
(epoch: 12, iters: 12100, time: 0.036, data: 0.009) G_GAN: 0.774 G_L1: 5.304 D_real: 0.030 D_fake: 0.096 
(epoch: 12, iters: 12200, time: 0.038, data: 0.003) G_GAN: 0.531 G_L1: 5.377 D_real: 0.151 D_fake: 0.095 
(epoch: 12, iters: 12300, time: 0.042, data: 0.003) G_GAN: 0.644 G_L1: 4.919 D_real: 0.155 D_fake: 0.056 
(epoch: 12, iters: 12400, time: 0.037, data: 0.006) G_GAN: 0.518 G_L1: 5.108 D_real: 0.487 D_fake: 0.033 
(epoch: 12, iters: 12500, time: 0.039, data: 0.009) G_GAN: 0.626 G_L1: 5.224 D_real: 0.210 D_fake: 0.024 
(epoch: 12, iters: 12600, time: 0.039, data: 0.003) G_GAN: 0.616 G_L1: 5.188 D_real: 0.128 D_fake: 0.056 
(epoch: 12, iters: 12700, time: 0.039, data: 0.003) G_GAN: 0.903 G_L1: 5.967 D_real: 0.036 D_fake: 0.052 
(epoch: 12, iters: 12800, time: 0.038, data: 0.003) G_GAN: 0.559 G_L1: 5.498 D_real: 0.194 D_fake: 0.057 
(epoch: 12, iters: 12900, time: 0.039, data: 0.004) G_GAN: 0.831 G_L1: 5.284 D_real: 0.072 D_fake: 0.065 
(epoch: 12, iters: 13000, time: 0.037, data: 0.003) G_GAN: 1.044 G_L1: 5.692 D_real: 0.055 D_fake: 0.051 
(epoch: 12, iters: 13100, time: 0.038, data: 0.003) G_GAN: 0.883 G_L1: 5.785 D_real: 0.028 D_fake: 0.085 
(epoch: 12, iters: 13200, time: 0.040, data: 0.004) G_GAN: 0.422 G_L1: 5.597 D_real: 0.216 D_fake: 0.039 
(epoch: 12, iters: 13300, time: 0.040, data: 0.002) G_GAN: 0.848 G_L1: 5.810 D_real: 0.046 D_fake: 0.062 
(epoch: 12, iters: 13400, time: 0.041, data: 0.014) G_GAN: 0.575 G_L1: 4.781 D_real: 0.067 D_fake: 0.202 
(epoch: 12, iters: 13500, time: 0.040, data: 0.003) G_GAN: 0.645 G_L1: 5.204 D_real: 0.080 D_fake: 0.145 
(epoch: 12, iters: 13600, time: 0.040, data: 0.008) G_GAN: 0.607 G_L1: 5.893 D_real: 0.129 D_fake: 0.104 
(epoch: 12, iters: 13700, time: 0.035, data: 0.003) G_GAN: 0.705 G_L1: 5.090 D_real: 0.064 D_fake: 0.132 
(epoch: 12, iters: 13800, time: 0.041, data: 0.004) G_GAN: 0.604 G_L1: 5.089 D_real: 0.164 D_fake: 0.026 
(epoch: 12, iters: 13900, time: 0.040, data: 0.003) G_GAN: 0.828 G_L1: 4.859 D_real: 0.031 D_fake: 0.327 
(epoch: 12, iters: 14000, time: 0.070, data: 0.003) G_GAN: 0.620 G_L1: 6.035 D_real: 0.128 D_fake: 0.038 
(epoch: 12, iters: 14100, time: 0.041, data: 0.003) G_GAN: 0.885 G_L1: 5.306 D_real: 0.030 D_fake: 0.198 
(epoch: 12, iters: 14200, time: 0.037, data: 0.003) G_GAN: 0.919 G_L1: 5.052 D_real: 0.084 D_fake: 0.035 
(epoch: 12, iters: 14300, time: 0.037, data: 0.003) G_GAN: 0.632 G_L1: 4.874 D_real: 0.079 D_fake: 0.050 
(epoch: 12, iters: 14400, time: 0.042, data: 0.003) G_GAN: 1.078 G_L1: 5.012 D_real: 0.045 D_fake: 0.092 
(epoch: 12, iters: 14500, time: 0.041, data: 0.009) G_GAN: 0.755 G_L1: 5.243 D_real: 0.125 D_fake: 0.071 
(epoch: 12, iters: 14600, time: 0.037, data: 0.004) G_GAN: 0.638 G_L1: 4.784 D_real: 0.128 D_fake: 0.084 
(epoch: 12, iters: 14700, time: 0.038, data: 0.005) G_GAN: 1.071 G_L1: 5.629 D_real: 0.057 D_fake: 0.061 
(epoch: 12, iters: 14800, time: 0.038, data: 0.023) G_GAN: 0.784 G_L1: 5.188 D_real: 0.065 D_fake: 0.168 
(epoch: 12, iters: 14900, time: 0.041, data: 0.004) G_GAN: 0.840 G_L1: 5.943 D_real: 0.242 D_fake: 0.031 
(epoch: 12, iters: 15000, time: 0.038, data: 0.005) G_GAN: 0.646 G_L1: 4.497 D_real: 0.093 D_fake: 0.071 
(epoch: 12, iters: 15100, time: 0.040, data: 0.004) G_GAN: 0.411 G_L1: 4.781 D_real: 0.175 D_fake: 0.161 
(epoch: 12, iters: 15200, time: 0.043, data: 0.005) G_GAN: 1.081 G_L1: 4.364 D_real: 0.030 D_fake: 0.068 
(epoch: 12, iters: 15300, time: 0.043, data: 0.003) G_GAN: 0.760 G_L1: 4.898 D_real: 0.111 D_fake: 0.057 
(epoch: 12, iters: 15400, time: 0.039, data: 0.003) G_GAN: 0.596 G_L1: 5.381 D_real: 0.187 D_fake: 0.029 
(epoch: 12, iters: 15500, time: 0.041, data: 0.014) G_GAN: 1.021 G_L1: 4.250 D_real: 0.032 D_fake: 0.496 
(epoch: 12, iters: 15600, time: 0.039, data: 0.004) G_GAN: 0.825 G_L1: 4.900 D_real: 0.031 D_fake: 0.133 
(epoch: 12, iters: 15700, time: 0.042, data: 0.003) G_GAN: 0.618 G_L1: 5.263 D_real: 0.038 D_fake: 0.141 
(epoch: 12, iters: 15800, time: 0.038, data: 0.014) G_GAN: 0.686 G_L1: 6.017 D_real: 0.040 D_fake: 0.058 
(epoch: 12, iters: 15900, time: 0.038, data: 0.003) G_GAN: 0.504 G_L1: 5.655 D_real: 0.097 D_fake: 0.064 
(epoch: 12, iters: 16000, time: 0.068, data: 0.003) G_GAN: 0.733 G_L1: 4.504 D_real: 0.202 D_fake: 0.035 
(epoch: 12, iters: 16100, time: 0.043, data: 0.003) G_GAN: 0.930 G_L1: 4.807 D_real: 0.031 D_fake: 0.070 
(epoch: 12, iters: 16200, time: 0.038, data: 0.012) G_GAN: 0.681 G_L1: 5.509 D_real: 0.042 D_fake: 0.059 
(epoch: 12, iters: 16300, time: 0.040, data: 0.003) G_GAN: 0.687 G_L1: 5.067 D_real: 0.095 D_fake: 0.035 
(epoch: 12, iters: 16400, time: 0.040, data: 0.003) G_GAN: 0.778 G_L1: 4.972 D_real: 0.091 D_fake: 0.038 
(epoch: 12, iters: 16500, time: 0.041, data: 0.002) G_GAN: 1.087 G_L1: 4.425 D_real: 0.040 D_fake: 0.198 
(epoch: 12, iters: 16600, time: 0.041, data: 0.003) G_GAN: 0.695 G_L1: 5.861 D_real: 0.161 D_fake: 0.062 
(epoch: 12, iters: 16700, time: 0.036, data: 0.004) G_GAN: 0.591 G_L1: 5.328 D_real: 0.098 D_fake: 0.087 
(epoch: 12, iters: 16800, time: 0.038, data: 0.004) G_GAN: 0.541 G_L1: 4.916 D_real: 0.078 D_fake: 0.163 
(epoch: 12, iters: 16900, time: 0.042, data: 0.003) G_GAN: 0.698 G_L1: 5.121 D_real: 0.066 D_fake: 0.101 
(epoch: 12, iters: 17000, time: 0.042, data: 0.004) G_GAN: 0.844 G_L1: 6.004 D_real: 0.036 D_fake: 0.126 
saving the latest model (epoch 12, total_iters 545000)
(epoch: 12, iters: 17100, time: 0.039, data: 0.003) G_GAN: 0.617 G_L1: 5.071 D_real: 0.115 D_fake: 0.043 
(epoch: 12, iters: 17200, time: 0.036, data: 0.003) G_GAN: 0.540 G_L1: 5.115 D_real: 0.138 D_fake: 0.043 
(epoch: 12, iters: 17300, time: 0.037, data: 0.003) G_GAN: 1.098 G_L1: 4.667 D_real: 0.043 D_fake: 0.043 
(epoch: 12, iters: 17400, time: 0.042, data: 0.003) G_GAN: 0.961 G_L1: 5.871 D_real: 0.037 D_fake: 0.193 
(epoch: 12, iters: 17500, time: 0.038, data: 0.004) G_GAN: 0.520 G_L1: 5.408 D_real: 0.207 D_fake: 0.053 
(epoch: 12, iters: 17600, time: 0.041, data: 0.003) G_GAN: 0.866 G_L1: 5.818 D_real: 0.036 D_fake: 0.108 
(epoch: 12, iters: 17700, time: 0.039, data: 0.003) G_GAN: 0.781 G_L1: 5.819 D_real: 0.046 D_fake: 0.084 
(epoch: 12, iters: 17800, time: 0.039, data: 0.003) G_GAN: 1.133 G_L1: 5.815 D_real: 0.042 D_fake: 0.047 
(epoch: 12, iters: 17900, time: 0.037, data: 0.003) G_GAN: 0.863 G_L1: 5.067 D_real: 0.040 D_fake: 0.190 
(epoch: 12, iters: 18000, time: 0.079, data: 0.010) G_GAN: 0.534 G_L1: 4.716 D_real: 0.050 D_fake: 0.129 
(epoch: 12, iters: 18100, time: 0.047, data: 0.003) G_GAN: 0.976 G_L1: 5.123 D_real: 0.041 D_fake: 0.089 
(epoch: 12, iters: 18200, time: 0.040, data: 0.004) G_GAN: 0.773 G_L1: 5.031 D_real: 0.027 D_fake: 0.116 
(epoch: 12, iters: 18300, time: 0.040, data: 0.007) G_GAN: 0.908 G_L1: 5.027 D_real: 0.028 D_fake: 0.083 
(epoch: 12, iters: 18400, time: 0.037, data: 0.009) G_GAN: 0.789 G_L1: 4.552 D_real: 0.085 D_fake: 0.030 
(epoch: 12, iters: 18500, time: 0.039, data: 0.010) G_GAN: 0.529 G_L1: 4.318 D_real: 0.092 D_fake: 0.113 
(epoch: 12, iters: 18600, time: 0.042, data: 0.018) G_GAN: 0.846 G_L1: 5.763 D_real: 0.029 D_fake: 0.070 
(epoch: 12, iters: 18700, time: 0.040, data: 0.008) G_GAN: 0.671 G_L1: 6.501 D_real: 0.048 D_fake: 0.121 
(epoch: 12, iters: 18800, time: 0.039, data: 0.004) G_GAN: 0.680 G_L1: 5.581 D_real: 0.101 D_fake: 0.063 
(epoch: 12, iters: 18900, time: 0.040, data: 0.004) G_GAN: 1.238 G_L1: 5.703 D_real: 0.049 D_fake: 0.041 
(epoch: 12, iters: 19000, time: 0.038, data: 0.004) G_GAN: 0.948 G_L1: 5.464 D_real: 0.026 D_fake: 0.056 
(epoch: 12, iters: 19100, time: 0.040, data: 0.003) G_GAN: 0.781 G_L1: 5.325 D_real: 0.034 D_fake: 0.053 
(epoch: 12, iters: 19200, time: 0.042, data: 0.002) G_GAN: 0.800 G_L1: 4.907 D_real: 0.045 D_fake: 0.077 
(epoch: 12, iters: 19300, time: 0.041, data: 0.003) G_GAN: 1.284 G_L1: 5.154 D_real: 0.038 D_fake: 0.034 
(epoch: 12, iters: 19400, time: 0.040, data: 0.003) G_GAN: 0.665 G_L1: 6.815 D_real: 0.077 D_fake: 0.039 
(epoch: 12, iters: 19500, time: 0.042, data: 0.003) G_GAN: 0.592 G_L1: 4.178 D_real: 0.257 D_fake: 0.038 
(epoch: 12, iters: 19600, time: 0.043, data: 0.004) G_GAN: 0.942 G_L1: 6.025 D_real: 0.038 D_fake: 0.072 
(epoch: 12, iters: 19700, time: 0.041, data: 0.004) G_GAN: 0.984 G_L1: 4.793 D_real: 0.031 D_fake: 0.150 
(epoch: 12, iters: 19800, time: 0.042, data: 0.004) G_GAN: 0.356 G_L1: 5.232 D_real: 0.293 D_fake: 0.057 
(epoch: 12, iters: 19900, time: 0.041, data: 0.004) G_GAN: 0.814 G_L1: 5.372 D_real: 0.073 D_fake: 0.109 
(epoch: 12, iters: 20000, time: 0.079, data: 0.004) G_GAN: 1.063 G_L1: 5.344 D_real: 0.062 D_fake: 0.054 
(epoch: 12, iters: 20100, time: 0.042, data: 0.002) G_GAN: 0.850 G_L1: 5.805 D_real: 0.032 D_fake: 0.091 
(epoch: 12, iters: 20200, time: 0.039, data: 0.012) G_GAN: 0.576 G_L1: 5.408 D_real: 0.117 D_fake: 0.029 
(epoch: 12, iters: 20300, time: 0.037, data: 0.005) G_GAN: 0.905 G_L1: 4.895 D_real: 0.033 D_fake: 0.071 
(epoch: 12, iters: 20400, time: 0.038, data: 0.005) G_GAN: 0.604 G_L1: 5.532 D_real: 0.149 D_fake: 0.043 
(epoch: 12, iters: 20500, time: 0.043, data: 0.003) G_GAN: 0.760 G_L1: 6.081 D_real: 0.063 D_fake: 0.036 
(epoch: 12, iters: 20600, time: 0.038, data: 0.003) G_GAN: 1.705 G_L1: 6.154 D_real: 0.157 D_fake: 0.196 
(epoch: 12, iters: 20700, time: 0.041, data: 0.004) G_GAN: 0.645 G_L1: 5.346 D_real: 0.082 D_fake: 0.044 
(epoch: 12, iters: 20800, time: 0.038, data: 0.003) G_GAN: 0.834 G_L1: 5.221 D_real: 0.058 D_fake: 0.060 
(epoch: 12, iters: 20900, time: 0.040, data: 0.008) G_GAN: 0.839 G_L1: 6.186 D_real: 0.031 D_fake: 0.101 
(epoch: 12, iters: 21000, time: 0.038, data: 0.019) G_GAN: 0.680 G_L1: 5.717 D_real: 0.065 D_fake: 0.198 
(epoch: 12, iters: 21100, time: 0.041, data: 0.011) G_GAN: 1.190 G_L1: 6.211 D_real: 0.031 D_fake: 0.040 
(epoch: 12, iters: 21200, time: 0.040, data: 0.004) G_GAN: 0.811 G_L1: 4.691 D_real: 0.041 D_fake: 0.138 
(epoch: 12, iters: 21300, time: 0.039, data: 0.009) G_GAN: 1.082 G_L1: 6.247 D_real: 0.036 D_fake: 0.034 
(epoch: 12, iters: 21400, time: 0.041, data: 0.003) G_GAN: 0.695 G_L1: 4.294 D_real: 0.128 D_fake: 0.035 
(epoch: 12, iters: 21500, time: 0.040, data: 0.010) G_GAN: 0.941 G_L1: 4.923 D_real: 0.031 D_fake: 0.041 
(epoch: 12, iters: 21600, time: 0.040, data: 0.003) G_GAN: 1.345 G_L1: 6.721 D_real: 0.092 D_fake: 0.214 
(epoch: 12, iters: 21700, time: 0.040, data: 0.003) G_GAN: 0.856 G_L1: 7.234 D_real: 0.050 D_fake: 0.068 
(epoch: 12, iters: 21800, time: 0.044, data: 0.004) G_GAN: 0.617 G_L1: 4.096 D_real: 0.189 D_fake: 0.070 
(epoch: 12, iters: 21900, time: 0.042, data: 0.003) G_GAN: 0.590 G_L1: 5.422 D_real: 0.110 D_fake: 0.091 
(epoch: 12, iters: 22000, time: 0.079, data: 0.004) G_GAN: 0.932 G_L1: 5.164 D_real: 0.044 D_fake: 0.046 
saving the latest model (epoch 12, total_iters 550000)
(epoch: 12, iters: 22100, time: 0.041, data: 0.003) G_GAN: 1.337 G_L1: 5.063 D_real: 0.089 D_fake: 0.092 
(epoch: 12, iters: 22200, time: 0.045, data: 0.003) G_GAN: 0.613 G_L1: 4.477 D_real: 0.224 D_fake: 0.033 
(epoch: 12, iters: 22300, time: 0.039, data: 0.006) G_GAN: 0.691 G_L1: 6.132 D_real: 0.133 D_fake: 0.071 
(epoch: 12, iters: 22400, time: 0.041, data: 0.003) G_GAN: 0.945 G_L1: 5.295 D_real: 0.055 D_fake: 0.033 
(epoch: 12, iters: 22500, time: 0.042, data: 0.007) G_GAN: 0.642 G_L1: 4.906 D_real: 0.064 D_fake: 0.116 
(epoch: 12, iters: 22600, time: 0.042, data: 0.002) G_GAN: 1.145 G_L1: 5.441 D_real: 0.039 D_fake: 0.095 
(epoch: 12, iters: 22700, time: 0.042, data: 0.006) G_GAN: 0.665 G_L1: 5.088 D_real: 0.157 D_fake: 0.044 
(epoch: 12, iters: 22800, time: 0.042, data: 0.004) G_GAN: 1.140 G_L1: 5.456 D_real: 0.061 D_fake: 0.212 
(epoch: 12, iters: 22900, time: 0.041, data: 0.010) G_GAN: 0.656 G_L1: 5.532 D_real: 0.168 D_fake: 0.029 
(epoch: 12, iters: 23000, time: 0.041, data: 0.002) G_GAN: 0.875 G_L1: 5.171 D_real: 0.127 D_fake: 0.035 
(epoch: 12, iters: 23100, time: 0.039, data: 0.003) G_GAN: 0.521 G_L1: 5.495 D_real: 0.220 D_fake: 0.063 
(epoch: 12, iters: 23200, time: 0.038, data: 0.003) G_GAN: 1.091 G_L1: 4.715 D_real: 0.047 D_fake: 0.112 
(epoch: 12, iters: 23300, time: 0.039, data: 0.003) G_GAN: 0.954 G_L1: 6.025 D_real: 0.058 D_fake: 0.036 
(epoch: 12, iters: 23400, time: 0.037, data: 0.003) G_GAN: 0.581 G_L1: 4.757 D_real: 0.268 D_fake: 0.050 
(epoch: 12, iters: 23500, time: 0.042, data: 0.012) G_GAN: 0.614 G_L1: 5.172 D_real: 0.054 D_fake: 0.098 
(epoch: 12, iters: 23600, time: 0.038, data: 0.003) G_GAN: 0.796 G_L1: 5.677 D_real: 0.088 D_fake: 0.033 
(epoch: 12, iters: 23700, time: 0.042, data: 0.003) G_GAN: 0.740 G_L1: 4.633 D_real: 0.063 D_fake: 0.047 
(epoch: 12, iters: 23800, time: 0.037, data: 0.003) G_GAN: 1.006 G_L1: 4.856 D_real: 0.033 D_fake: 0.132 
(epoch: 12, iters: 23900, time: 0.038, data: 0.004) G_GAN: 0.758 G_L1: 6.444 D_real: 0.086 D_fake: 0.111 
(epoch: 12, iters: 24000, time: 0.086, data: 0.015) G_GAN: 0.792 G_L1: 5.025 D_real: 0.062 D_fake: 0.024 
(epoch: 12, iters: 24100, time: 0.042, data: 0.002) G_GAN: 0.955 G_L1: 5.604 D_real: 0.025 D_fake: 0.291 
(epoch: 12, iters: 24200, time: 0.040, data: 0.004) G_GAN: 0.692 G_L1: 5.519 D_real: 0.069 D_fake: 0.085 
(epoch: 12, iters: 24300, time: 0.045, data: 0.014) G_GAN: 1.178 G_L1: 5.494 D_real: 0.045 D_fake: 0.127 
(epoch: 12, iters: 24400, time: 0.040, data: 0.003) G_GAN: 0.846 G_L1: 5.228 D_real: 0.049 D_fake: 0.029 
(epoch: 12, iters: 24500, time: 0.040, data: 0.004) G_GAN: 1.184 G_L1: 4.976 D_real: 0.035 D_fake: 0.102 
(epoch: 12, iters: 24600, time: 0.041, data: 0.003) G_GAN: 1.193 G_L1: 5.642 D_real: 0.052 D_fake: 0.118 
(epoch: 12, iters: 24700, time: 0.042, data: 0.003) G_GAN: 0.957 G_L1: 4.470 D_real: 0.035 D_fake: 0.042 
(epoch: 12, iters: 24800, time: 0.042, data: 0.003) G_GAN: 0.704 G_L1: 5.984 D_real: 0.046 D_fake: 0.076 
(epoch: 12, iters: 24900, time: 0.043, data: 0.003) G_GAN: 0.732 G_L1: 6.396 D_real: 0.034 D_fake: 0.066 
(epoch: 12, iters: 25000, time: 0.037, data: 0.005) G_GAN: 0.654 G_L1: 5.118 D_real: 0.099 D_fake: 0.030 
(epoch: 12, iters: 25100, time: 0.043, data: 0.010) G_GAN: 0.629 G_L1: 4.963 D_real: 0.066 D_fake: 0.088 
(epoch: 12, iters: 25200, time: 0.044, data: 0.003) G_GAN: 1.067 G_L1: 5.603 D_real: 0.030 D_fake: 0.029 
(epoch: 12, iters: 25300, time: 0.042, data: 0.005) G_GAN: 0.645 G_L1: 5.464 D_real: 0.167 D_fake: 0.033 
(epoch: 12, iters: 25400, time: 0.038, data: 0.004) G_GAN: 0.773 G_L1: 6.064 D_real: 0.033 D_fake: 0.047 
(epoch: 12, iters: 25500, time: 0.043, data: 0.003) G_GAN: 0.761 G_L1: 5.760 D_real: 0.111 D_fake: 0.052 
(epoch: 12, iters: 25600, time: 0.040, data: 0.004) G_GAN: 0.638 G_L1: 6.168 D_real: 0.129 D_fake: 0.048 
(epoch: 12, iters: 25700, time: 0.041, data: 0.003) G_GAN: 0.561 G_L1: 5.248 D_real: 0.151 D_fake: 0.109 
(epoch: 12, iters: 25800, time: 0.041, data: 0.011) G_GAN: 1.257 G_L1: 5.565 D_real: 0.041 D_fake: 0.038 
(epoch: 12, iters: 25900, time: 0.038, data: 0.004) G_GAN: 0.738 G_L1: 4.863 D_real: 0.124 D_fake: 0.039 
(epoch: 12, iters: 26000, time: 0.085, data: 0.003) G_GAN: 0.739 G_L1: 5.053 D_real: 0.048 D_fake: 0.062 
(epoch: 12, iters: 26100, time: 0.040, data: 0.003) G_GAN: 1.317 G_L1: 5.290 D_real: 0.038 D_fake: 0.032 
(epoch: 12, iters: 26200, time: 0.040, data: 0.005) G_GAN: 0.837 G_L1: 5.343 D_real: 0.123 D_fake: 0.041 
(epoch: 12, iters: 26300, time: 0.038, data: 0.003) G_GAN: 0.924 G_L1: 6.010 D_real: 0.036 D_fake: 0.027 
(epoch: 12, iters: 26400, time: 0.041, data: 0.004) G_GAN: 1.128 G_L1: 5.515 D_real: 0.033 D_fake: 0.056 
(epoch: 12, iters: 26500, time: 0.039, data: 0.003) G_GAN: 0.692 G_L1: 5.118 D_real: 0.040 D_fake: 0.490 
(epoch: 12, iters: 26600, time: 0.038, data: 0.003) G_GAN: 0.765 G_L1: 4.933 D_real: 0.027 D_fake: 0.096 
(epoch: 12, iters: 26700, time: 0.041, data: 0.003) G_GAN: 0.975 G_L1: 4.659 D_real: 0.023 D_fake: 0.057 
(epoch: 12, iters: 26800, time: 0.042, data: 0.004) G_GAN: 1.040 G_L1: 6.652 D_real: 0.037 D_fake: 0.061 
(epoch: 12, iters: 26900, time: 0.042, data: 0.003) G_GAN: 1.013 G_L1: 5.025 D_real: 0.027 D_fake: 0.067 
(epoch: 12, iters: 27000, time: 0.039, data: 0.010) G_GAN: 0.657 G_L1: 5.960 D_real: 0.071 D_fake: 0.062 
saving the latest model (epoch 12, total_iters 555000)
(epoch: 12, iters: 27100, time: 0.037, data: 0.003) G_GAN: 0.705 G_L1: 6.346 D_real: 0.061 D_fake: 0.037 
(epoch: 12, iters: 27200, time: 0.035, data: 0.012) G_GAN: 0.570 G_L1: 5.416 D_real: 0.117 D_fake: 0.023 
(epoch: 12, iters: 27300, time: 0.041, data: 0.003) G_GAN: 1.227 G_L1: 4.748 D_real: 0.041 D_fake: 0.152 
(epoch: 12, iters: 27400, time: 0.037, data: 0.015) G_GAN: 0.770 G_L1: 6.425 D_real: 0.087 D_fake: 0.040 
(epoch: 12, iters: 27500, time: 0.037, data: 0.007) G_GAN: 0.792 G_L1: 4.316 D_real: 0.058 D_fake: 0.048 
(epoch: 12, iters: 27600, time: 0.039, data: 0.014) G_GAN: 0.904 G_L1: 5.570 D_real: 0.034 D_fake: 0.080 
(epoch: 12, iters: 27700, time: 0.041, data: 0.004) G_GAN: 0.856 G_L1: 5.217 D_real: 0.128 D_fake: 0.033 
(epoch: 12, iters: 27800, time: 0.042, data: 0.003) G_GAN: 0.965 G_L1: 4.703 D_real: 0.032 D_fake: 0.025 
(epoch: 12, iters: 27900, time: 0.039, data: 0.009) G_GAN: 0.970 G_L1: 4.763 D_real: 0.026 D_fake: 0.157 
(epoch: 12, iters: 28000, time: 0.086, data: 0.003) G_GAN: 0.955 G_L1: 6.260 D_real: 0.046 D_fake: 0.029 
(epoch: 12, iters: 28100, time: 0.039, data: 0.003) G_GAN: 1.015 G_L1: 6.689 D_real: 0.024 D_fake: 0.152 
(epoch: 12, iters: 28200, time: 0.037, data: 0.003) G_GAN: 0.793 G_L1: 5.800 D_real: 0.132 D_fake: 0.034 
(epoch: 12, iters: 28300, time: 0.039, data: 0.003) G_GAN: 0.664 G_L1: 5.015 D_real: 0.152 D_fake: 0.053 
(epoch: 12, iters: 28400, time: 0.037, data: 0.003) G_GAN: 0.512 G_L1: 6.190 D_real: 0.347 D_fake: 0.065 
(epoch: 12, iters: 28500, time: 0.033, data: 0.003) G_GAN: 0.763 G_L1: 4.646 D_real: 0.036 D_fake: 0.047 
(epoch: 12, iters: 28600, time: 0.044, data: 0.004) G_GAN: 0.684 G_L1: 5.831 D_real: 0.028 D_fake: 0.178 
(epoch: 12, iters: 28700, time: 0.040, data: 0.003) G_GAN: 0.783 G_L1: 6.017 D_real: 0.047 D_fake: 0.082 
(epoch: 12, iters: 28800, time: 0.039, data: 0.004) G_GAN: 1.195 G_L1: 5.337 D_real: 0.029 D_fake: 0.029 
(epoch: 12, iters: 28900, time: 0.041, data: 0.007) G_GAN: 0.695 G_L1: 5.110 D_real: 0.030 D_fake: 0.093 
(epoch: 12, iters: 29000, time: 0.038, data: 0.014) G_GAN: 0.910 G_L1: 5.342 D_real: 0.104 D_fake: 0.032 
(epoch: 12, iters: 29100, time: 0.039, data: 0.009) G_GAN: 1.063 G_L1: 5.577 D_real: 0.039 D_fake: 0.039 
(epoch: 12, iters: 29200, time: 0.038, data: 0.010) G_GAN: 0.859 G_L1: 4.840 D_real: 0.042 D_fake: 0.079 
(epoch: 12, iters: 29300, time: 0.042, data: 0.003) G_GAN: 0.767 G_L1: 5.091 D_real: 0.053 D_fake: 0.054 
(epoch: 12, iters: 29400, time: 0.036, data: 0.003) G_GAN: 1.043 G_L1: 5.638 D_real: 0.028 D_fake: 0.128 
(epoch: 12, iters: 29500, time: 0.037, data: 0.004) G_GAN: 0.980 G_L1: 4.726 D_real: 0.033 D_fake: 0.081 
(epoch: 12, iters: 29600, time: 0.037, data: 0.004) G_GAN: 0.810 G_L1: 4.928 D_real: 0.047 D_fake: 0.038 
(epoch: 12, iters: 29700, time: 0.037, data: 0.008) G_GAN: 1.132 G_L1: 6.132 D_real: 0.033 D_fake: 0.075 
(epoch: 12, iters: 29800, time: 0.035, data: 0.004) G_GAN: 1.385 G_L1: 6.836 D_real: 0.054 D_fake: 0.039 
(epoch: 12, iters: 29900, time: 0.037, data: 0.004) G_GAN: 0.630 G_L1: 5.681 D_real: 0.069 D_fake: 0.033 
(epoch: 12, iters: 30000, time: 0.066, data: 0.003) G_GAN: 0.718 G_L1: 5.020 D_real: 0.076 D_fake: 0.073 
(epoch: 12, iters: 30100, time: 0.038, data: 0.002) G_GAN: 0.960 G_L1: 5.239 D_real: 0.030 D_fake: 0.026 
(epoch: 12, iters: 30200, time: 0.039, data: 0.011) G_GAN: 0.810 G_L1: 5.678 D_real: 0.099 D_fake: 0.027 
(epoch: 12, iters: 30300, time: 0.044, data: 0.007) G_GAN: 0.817 G_L1: 4.258 D_real: 0.027 D_fake: 0.208 
(epoch: 12, iters: 30400, time: 0.036, data: 0.003) G_GAN: 0.829 G_L1: 4.789 D_real: 0.054 D_fake: 0.045 
(epoch: 12, iters: 30500, time: 0.036, data: 0.004) G_GAN: 0.877 G_L1: 6.027 D_real: 0.065 D_fake: 0.045 
(epoch: 12, iters: 30600, time: 0.041, data: 0.009) G_GAN: 1.061 G_L1: 4.105 D_real: 0.054 D_fake: 0.291 
(epoch: 12, iters: 30700, time: 0.043, data: 0.011) G_GAN: 0.766 G_L1: 5.308 D_real: 0.110 D_fake: 0.040 
(epoch: 12, iters: 30800, time: 0.040, data: 0.003) G_GAN: 0.740 G_L1: 5.615 D_real: 0.050 D_fake: 0.032 
(epoch: 12, iters: 30900, time: 0.041, data: 0.003) G_GAN: 0.719 G_L1: 4.563 D_real: 0.074 D_fake: 0.052 
(epoch: 12, iters: 31000, time: 0.042, data: 0.010) G_GAN: 0.530 G_L1: 5.058 D_real: 0.234 D_fake: 0.045 
(epoch: 12, iters: 31100, time: 0.042, data: 0.003) G_GAN: 0.938 G_L1: 4.616 D_real: 0.036 D_fake: 0.044 
(epoch: 12, iters: 31200, time: 0.039, data: 0.025) G_GAN: 1.051 G_L1: 5.303 D_real: 0.028 D_fake: 0.068 
(epoch: 12, iters: 31300, time: 0.037, data: 0.011) G_GAN: 1.237 G_L1: 5.724 D_real: 0.054 D_fake: 0.079 
(epoch: 12, iters: 31400, time: 0.043, data: 0.004) G_GAN: 0.699 G_L1: 5.039 D_real: 0.050 D_fake: 0.082 
(epoch: 12, iters: 31500, time: 0.038, data: 0.003) G_GAN: 0.688 G_L1: 6.238 D_real: 0.086 D_fake: 0.030 
(epoch: 12, iters: 31600, time: 0.041, data: 0.003) G_GAN: 0.885 G_L1: 5.084 D_real: 0.038 D_fake: 0.075 
(epoch: 12, iters: 31700, time: 0.040, data: 0.003) G_GAN: 0.798 G_L1: 4.604 D_real: 0.057 D_fake: 0.032 
(epoch: 12, iters: 31800, time: 0.040, data: 0.003) G_GAN: 0.685 G_L1: 5.329 D_real: 0.178 D_fake: 0.029 
(epoch: 12, iters: 31900, time: 0.037, data: 0.004) G_GAN: 1.066 G_L1: 5.265 D_real: 0.030 D_fake: 0.054 
(epoch: 12, iters: 32000, time: 0.074, data: 0.003) G_GAN: 0.953 G_L1: 5.249 D_real: 0.029 D_fake: 0.052 
saving the latest model (epoch 12, total_iters 560000)
(epoch: 12, iters: 32100, time: 0.037, data: 0.003) G_GAN: 0.809 G_L1: 5.902 D_real: 0.034 D_fake: 0.039 
(epoch: 12, iters: 32200, time: 0.038, data: 0.006) G_GAN: 0.997 G_L1: 4.522 D_real: 0.056 D_fake: 0.103 
(epoch: 12, iters: 32300, time: 0.041, data: 0.003) G_GAN: 0.619 G_L1: 4.446 D_real: 0.474 D_fake: 0.280 
(epoch: 12, iters: 32400, time: 0.042, data: 0.006) G_GAN: 0.678 G_L1: 6.187 D_real: 0.075 D_fake: 0.093 
(epoch: 12, iters: 32500, time: 0.040, data: 0.009) G_GAN: 0.624 G_L1: 5.164 D_real: 0.087 D_fake: 0.039 
(epoch: 12, iters: 32600, time: 0.040, data: 0.003) G_GAN: 1.102 G_L1: 4.950 D_real: 0.032 D_fake: 0.121 
(epoch: 12, iters: 32700, time: 0.039, data: 0.004) G_GAN: 0.708 G_L1: 4.539 D_real: 0.128 D_fake: 0.028 
(epoch: 12, iters: 32800, time: 0.042, data: 0.004) G_GAN: 0.828 G_L1: 5.129 D_real: 0.056 D_fake: 0.083 
(epoch: 12, iters: 32900, time: 0.041, data: 0.003) G_GAN: 0.809 G_L1: 4.330 D_real: 0.048 D_fake: 0.065 
(epoch: 12, iters: 33000, time: 0.043, data: 0.004) G_GAN: 1.132 G_L1: 6.053 D_real: 0.029 D_fake: 0.040 
(epoch: 12, iters: 33100, time: 0.038, data: 0.010) G_GAN: 0.808 G_L1: 5.026 D_real: 0.036 D_fake: 0.027 
(epoch: 12, iters: 33200, time: 0.041, data: 0.012) G_GAN: 0.706 G_L1: 5.668 D_real: 0.088 D_fake: 0.036 
(epoch: 12, iters: 33300, time: 0.042, data: 0.007) G_GAN: 1.152 G_L1: 5.626 D_real: 0.101 D_fake: 0.057 
(epoch: 12, iters: 33400, time: 0.043, data: 0.012) G_GAN: 0.814 G_L1: 4.869 D_real: 0.112 D_fake: 0.025 
(epoch: 12, iters: 33500, time: 0.037, data: 0.003) G_GAN: 1.006 G_L1: 4.647 D_real: 0.032 D_fake: 0.026 
(epoch: 12, iters: 33600, time: 0.041, data: 0.009) G_GAN: 0.916 G_L1: 4.643 D_real: 0.033 D_fake: 0.045 
(epoch: 12, iters: 33700, time: 0.039, data: 0.003) G_GAN: 0.835 G_L1: 5.170 D_real: 0.098 D_fake: 0.023 
(epoch: 12, iters: 33800, time: 0.039, data: 0.003) G_GAN: 0.615 G_L1: 4.979 D_real: 0.076 D_fake: 0.183 
(epoch: 12, iters: 33900, time: 0.036, data: 0.009) G_GAN: 0.785 G_L1: 6.282 D_real: 0.111 D_fake: 0.026 
(epoch: 12, iters: 34000, time: 0.083, data: 0.004) G_GAN: 1.057 G_L1: 5.429 D_real: 0.027 D_fake: 0.030 
(epoch: 12, iters: 34100, time: 0.038, data: 0.002) G_GAN: 0.933 G_L1: 6.018 D_real: 0.042 D_fake: 0.035 
(epoch: 12, iters: 34200, time: 0.039, data: 0.003) G_GAN: 1.164 G_L1: 6.405 D_real: 0.034 D_fake: 0.026 
(epoch: 12, iters: 34300, time: 0.040, data: 0.003) G_GAN: 1.000 G_L1: 4.949 D_real: 0.048 D_fake: 0.025 
(epoch: 12, iters: 34400, time: 0.045, data: 0.004) G_GAN: 0.972 G_L1: 5.386 D_real: 0.091 D_fake: 0.042 
(epoch: 12, iters: 34500, time: 0.039, data: 0.004) G_GAN: 1.085 G_L1: 5.669 D_real: 0.046 D_fake: 0.146 
(epoch: 12, iters: 34600, time: 0.043, data: 0.003) G_GAN: 0.948 G_L1: 4.684 D_real: 0.035 D_fake: 0.032 
(epoch: 12, iters: 34700, time: 0.040, data: 0.003) G_GAN: 0.824 G_L1: 5.190 D_real: 0.032 D_fake: 0.032 
(epoch: 12, iters: 34800, time: 0.044, data: 0.016) G_GAN: 0.889 G_L1: 4.725 D_real: 0.025 D_fake: 0.145 
(epoch: 12, iters: 34900, time: 0.037, data: 0.003) G_GAN: 0.919 G_L1: 5.275 D_real: 0.026 D_fake: 0.067 
(epoch: 12, iters: 35000, time: 0.043, data: 0.005) G_GAN: 0.656 G_L1: 4.806 D_real: 0.193 D_fake: 0.023 
(epoch: 12, iters: 35100, time: 0.042, data: 0.003) G_GAN: 0.840 G_L1: 5.927 D_real: 0.062 D_fake: 0.043 
(epoch: 12, iters: 35200, time: 0.038, data: 0.014) G_GAN: 0.613 G_L1: 6.040 D_real: 0.084 D_fake: 0.060 
(epoch: 12, iters: 35300, time: 0.039, data: 0.004) G_GAN: 0.841 G_L1: 5.200 D_real: 0.060 D_fake: 0.033 
(epoch: 12, iters: 35400, time: 0.035, data: 0.004) G_GAN: 0.582 G_L1: 4.705 D_real: 0.129 D_fake: 0.045 
(epoch: 12, iters: 35500, time: 0.037, data: 0.003) G_GAN: 0.727 G_L1: 4.788 D_real: 0.083 D_fake: 0.030 
(epoch: 12, iters: 35600, time: 0.037, data: 0.002) G_GAN: 1.098 G_L1: 5.042 D_real: 0.036 D_fake: 0.113 
(epoch: 12, iters: 35700, time: 0.037, data: 0.004) G_GAN: 0.949 G_L1: 6.188 D_real: 0.034 D_fake: 0.047 
(epoch: 12, iters: 35800, time: 0.036, data: 0.003) G_GAN: 0.746 G_L1: 5.370 D_real: 0.080 D_fake: 0.067 
(epoch: 12, iters: 35900, time: 0.039, data: 0.004) G_GAN: 0.625 G_L1: 5.606 D_real: 0.119 D_fake: 0.033 
(epoch: 12, iters: 36000, time: 0.085, data: 0.004) G_GAN: 1.254 G_L1: 5.234 D_real: 0.140 D_fake: 0.047 
(epoch: 12, iters: 36100, time: 0.039, data: 0.005) G_GAN: 0.750 G_L1: 4.235 D_real: 0.107 D_fake: 0.045 
(epoch: 12, iters: 36200, time: 0.045, data: 0.003) G_GAN: 1.367 G_L1: 5.085 D_real: 0.076 D_fake: 0.026 
(epoch: 12, iters: 36300, time: 0.038, data: 0.004) G_GAN: 0.658 G_L1: 4.631 D_real: 0.033 D_fake: 0.145 
(epoch: 12, iters: 36400, time: 0.038, data: 0.011) G_GAN: 1.128 G_L1: 5.183 D_real: 0.035 D_fake: 0.035 
(epoch: 12, iters: 36500, time: 0.039, data: 0.004) G_GAN: 0.788 G_L1: 4.444 D_real: 0.065 D_fake: 0.062 
(epoch: 12, iters: 36600, time: 0.043, data: 0.003) G_GAN: 0.679 G_L1: 4.879 D_real: 0.051 D_fake: 0.050 
(epoch: 12, iters: 36700, time: 0.037, data: 0.003) G_GAN: 0.816 G_L1: 5.240 D_real: 0.049 D_fake: 0.042 
(epoch: 12, iters: 36800, time: 0.037, data: 0.004) G_GAN: 0.982 G_L1: 4.239 D_real: 0.034 D_fake: 0.098 
(epoch: 12, iters: 36900, time: 0.043, data: 0.003) G_GAN: 0.844 G_L1: 4.882 D_real: 0.048 D_fake: 0.037 
(epoch: 12, iters: 37000, time: 0.039, data: 0.013) G_GAN: 0.462 G_L1: 4.824 D_real: 0.226 D_fake: 0.031 
saving the latest model (epoch 12, total_iters 565000)
(epoch: 12, iters: 37100, time: 0.038, data: 0.003) G_GAN: 0.805 G_L1: 4.793 D_real: 0.064 D_fake: 0.027 
(epoch: 12, iters: 37200, time: 0.044, data: 0.003) G_GAN: 0.837 G_L1: 5.556 D_real: 0.187 D_fake: 0.036 
(epoch: 12, iters: 37300, time: 0.043, data: 0.007) G_GAN: 0.926 G_L1: 4.740 D_real: 0.055 D_fake: 0.034 
(epoch: 12, iters: 37400, time: 0.041, data: 0.003) G_GAN: 0.972 G_L1: 6.433 D_real: 0.054 D_fake: 0.058 
(epoch: 12, iters: 37500, time: 0.038, data: 0.003) G_GAN: 1.069 G_L1: 5.335 D_real: 0.020 D_fake: 0.040 
(epoch: 12, iters: 37600, time: 0.039, data: 0.005) G_GAN: 0.788 G_L1: 5.195 D_real: 0.063 D_fake: 0.030 
(epoch: 12, iters: 37700, time: 0.038, data: 0.003) G_GAN: 0.882 G_L1: 5.320 D_real: 0.052 D_fake: 0.027 
(epoch: 12, iters: 37800, time: 0.040, data: 0.009) G_GAN: 0.774 G_L1: 6.109 D_real: 0.071 D_fake: 0.081 
(epoch: 12, iters: 37900, time: 0.043, data: 0.011) G_GAN: 0.675 G_L1: 6.051 D_real: 0.025 D_fake: 0.156 
(epoch: 12, iters: 38000, time: 0.089, data: 0.003) G_GAN: 1.101 G_L1: 5.766 D_real: 0.065 D_fake: 0.056 
(epoch: 12, iters: 38100, time: 0.040, data: 0.003) G_GAN: 0.861 G_L1: 4.155 D_real: 0.165 D_fake: 0.026 
(epoch: 12, iters: 38200, time: 0.037, data: 0.008) G_GAN: 0.836 G_L1: 5.493 D_real: 0.079 D_fake: 0.030 
(epoch: 12, iters: 38300, time: 0.038, data: 0.004) G_GAN: 0.703 G_L1: 4.911 D_real: 0.025 D_fake: 0.085 
(epoch: 12, iters: 38400, time: 0.044, data: 0.004) G_GAN: 0.628 G_L1: 5.113 D_real: 0.139 D_fake: 0.048 
(epoch: 12, iters: 38500, time: 0.036, data: 0.014) G_GAN: 1.104 G_L1: 5.311 D_real: 0.046 D_fake: 0.033 
(epoch: 12, iters: 38600, time: 0.038, data: 0.003) G_GAN: 0.675 G_L1: 4.815 D_real: 0.071 D_fake: 0.064 
(epoch: 12, iters: 38700, time: 0.040, data: 0.003) G_GAN: 0.813 G_L1: 5.247 D_real: 0.043 D_fake: 0.027 
(epoch: 12, iters: 38800, time: 0.038, data: 0.011) G_GAN: 0.567 G_L1: 5.991 D_real: 0.035 D_fake: 0.121 
(epoch: 12, iters: 38900, time: 0.043, data: 0.003) G_GAN: 0.989 G_L1: 6.184 D_real: 0.034 D_fake: 0.025 
(epoch: 12, iters: 39000, time: 0.038, data: 0.008) G_GAN: 0.913 G_L1: 5.696 D_real: 0.052 D_fake: 0.051 
(epoch: 12, iters: 39100, time: 0.038, data: 0.003) G_GAN: 0.967 G_L1: 4.413 D_real: 0.027 D_fake: 0.161 
(epoch: 12, iters: 39200, time: 0.038, data: 0.004) G_GAN: 0.923 G_L1: 5.502 D_real: 0.037 D_fake: 0.088 
(epoch: 12, iters: 39300, time: 0.041, data: 0.004) G_GAN: 0.690 G_L1: 6.000 D_real: 0.037 D_fake: 0.046 
(epoch: 12, iters: 39400, time: 0.041, data: 0.004) G_GAN: 0.891 G_L1: 5.404 D_real: 0.097 D_fake: 0.060 
(epoch: 12, iters: 39500, time: 0.038, data: 0.003) G_GAN: 1.239 G_L1: 6.530 D_real: 0.063 D_fake: 0.027 
(epoch: 12, iters: 39600, time: 0.042, data: 0.003) G_GAN: 0.772 G_L1: 5.226 D_real: 0.052 D_fake: 0.052 
(epoch: 12, iters: 39700, time: 0.041, data: 0.003) G_GAN: 0.752 G_L1: 4.770 D_real: 0.071 D_fake: 0.024 
(epoch: 12, iters: 39800, time: 0.039, data: 0.004) G_GAN: 0.677 G_L1: 5.808 D_real: 0.138 D_fake: 0.039 
(epoch: 12, iters: 39900, time: 0.040, data: 0.003) G_GAN: 1.054 G_L1: 6.231 D_real: 0.025 D_fake: 0.078 
(epoch: 12, iters: 40000, time: 0.090, data: 0.003) G_GAN: 0.886 G_L1: 5.353 D_real: 0.030 D_fake: 0.076 
(epoch: 12, iters: 40100, time: 0.035, data: 0.003) G_GAN: 0.761 G_L1: 5.077 D_real: 0.035 D_fake: 0.040 
(epoch: 12, iters: 40200, time: 0.039, data: 0.021) G_GAN: 0.888 G_L1: 4.887 D_real: 0.034 D_fake: 0.048 
(epoch: 12, iters: 40300, time: 0.042, data: 0.004) G_GAN: 0.820 G_L1: 4.783 D_real: 0.028 D_fake: 0.084 
(epoch: 12, iters: 40400, time: 0.046, data: 0.003) G_GAN: 0.595 G_L1: 5.743 D_real: 0.179 D_fake: 0.027 
(epoch: 12, iters: 40500, time: 0.038, data: 0.003) G_GAN: 0.789 G_L1: 5.415 D_real: 0.027 D_fake: 0.088 
(epoch: 12, iters: 40600, time: 0.035, data: 0.008) G_GAN: 0.840 G_L1: 6.069 D_real: 0.066 D_fake: 0.040 
(epoch: 12, iters: 40700, time: 0.038, data: 0.003) G_GAN: 0.877 G_L1: 4.459 D_real: 0.063 D_fake: 0.036 
(epoch: 12, iters: 40800, time: 0.044, data: 0.003) G_GAN: 0.831 G_L1: 4.888 D_real: 0.025 D_fake: 0.061 
(epoch: 12, iters: 40900, time: 0.041, data: 0.010) G_GAN: 0.752 G_L1: 5.437 D_real: 0.053 D_fake: 0.087 
(epoch: 12, iters: 41000, time: 0.039, data: 0.009) G_GAN: 1.018 G_L1: 5.115 D_real: 0.029 D_fake: 0.056 
(epoch: 12, iters: 41100, time: 0.038, data: 0.006) G_GAN: 0.993 G_L1: 6.031 D_real: 0.053 D_fake: 0.040 
(epoch: 12, iters: 41200, time: 0.041, data: 0.003) G_GAN: 0.889 G_L1: 5.311 D_real: 0.070 D_fake: 0.033 
(epoch: 12, iters: 41300, time: 0.041, data: 0.008) G_GAN: 0.898 G_L1: 4.154 D_real: 0.028 D_fake: 0.140 
(epoch: 12, iters: 41400, time: 0.036, data: 0.003) G_GAN: 0.792 G_L1: 5.435 D_real: 0.118 D_fake: 0.036 
(epoch: 12, iters: 41500, time: 0.041, data: 0.003) G_GAN: 1.104 G_L1: 4.617 D_real: 0.041 D_fake: 0.074 
(epoch: 12, iters: 41600, time: 0.043, data: 0.004) G_GAN: 0.917 G_L1: 4.466 D_real: 0.040 D_fake: 0.030 
(epoch: 12, iters: 41700, time: 0.042, data: 0.003) G_GAN: 1.241 G_L1: 6.315 D_real: 0.041 D_fake: 0.124 
(epoch: 12, iters: 41800, time: 0.038, data: 0.019) G_GAN: 0.971 G_L1: 4.883 D_real: 0.026 D_fake: 0.055 
(epoch: 12, iters: 41900, time: 0.042, data: 0.003) G_GAN: 0.760 G_L1: 5.923 D_real: 0.104 D_fake: 0.078 
(epoch: 12, iters: 42000, time: 0.090, data: 0.003) G_GAN: 0.800 G_L1: 5.482 D_real: 0.060 D_fake: 0.023 
saving the latest model (epoch 12, total_iters 570000)
(epoch: 12, iters: 42100, time: 0.039, data: 0.003) G_GAN: 0.895 G_L1: 5.441 D_real: 0.026 D_fake: 0.102 
(epoch: 12, iters: 42200, time: 0.043, data: 0.004) G_GAN: 0.906 G_L1: 4.512 D_real: 0.032 D_fake: 0.055 
(epoch: 12, iters: 42300, time: 0.037, data: 0.004) G_GAN: 1.008 G_L1: 5.061 D_real: 0.027 D_fake: 0.033 
(epoch: 12, iters: 42400, time: 0.043, data: 0.005) G_GAN: 0.850 G_L1: 5.931 D_real: 0.061 D_fake: 0.020 
(epoch: 12, iters: 42500, time: 0.041, data: 0.007) G_GAN: 0.877 G_L1: 6.316 D_real: 0.034 D_fake: 0.042 
(epoch: 12, iters: 42600, time: 0.042, data: 0.003) G_GAN: 0.840 G_L1: 5.145 D_real: 0.062 D_fake: 0.040 
(epoch: 12, iters: 42700, time: 0.042, data: 0.003) G_GAN: 0.921 G_L1: 6.427 D_real: 0.026 D_fake: 0.034 
(epoch: 12, iters: 42800, time: 0.038, data: 0.004) G_GAN: 0.937 G_L1: 4.520 D_real: 0.072 D_fake: 0.024 
(epoch: 12, iters: 42900, time: 0.038, data: 0.007) G_GAN: 0.952 G_L1: 5.496 D_real: 0.046 D_fake: 0.050 
(epoch: 12, iters: 43000, time: 0.037, data: 0.008) G_GAN: 0.868 G_L1: 5.268 D_real: 0.053 D_fake: 0.031 
(epoch: 12, iters: 43100, time: 0.041, data: 0.003) G_GAN: 0.833 G_L1: 5.063 D_real: 0.048 D_fake: 0.100 
(epoch: 12, iters: 43200, time: 0.037, data: 0.017) G_GAN: 0.943 G_L1: 5.687 D_real: 0.047 D_fake: 0.051 
(epoch: 12, iters: 43300, time: 0.041, data: 0.004) G_GAN: 0.748 G_L1: 4.667 D_real: 0.059 D_fake: 0.046 
(epoch: 12, iters: 43400, time: 0.042, data: 0.012) G_GAN: 1.023 G_L1: 5.739 D_real: 0.034 D_fake: 0.021 
(epoch: 12, iters: 43500, time: 0.042, data: 0.005) G_GAN: 1.225 G_L1: 6.366 D_real: 0.039 D_fake: 0.109 
(epoch: 12, iters: 43600, time: 0.036, data: 0.008) G_GAN: 0.717 G_L1: 4.779 D_real: 0.117 D_fake: 0.022 
(epoch: 12, iters: 43700, time: 0.039, data: 0.003) G_GAN: 0.844 G_L1: 5.556 D_real: 0.032 D_fake: 0.044 
(epoch: 12, iters: 43800, time: 0.038, data: 0.004) G_GAN: 0.741 G_L1: 5.024 D_real: 0.068 D_fake: 0.022 
(epoch: 12, iters: 43900, time: 0.033, data: 0.004) G_GAN: 0.881 G_L1: 6.077 D_real: 0.047 D_fake: 0.030 
(epoch: 12, iters: 44000, time: 0.077, data: 0.004) G_GAN: 0.813 G_L1: 4.750 D_real: 0.031 D_fake: 0.140 
(epoch: 12, iters: 44100, time: 0.039, data: 0.003) G_GAN: 0.621 G_L1: 5.094 D_real: 0.145 D_fake: 0.026 
(epoch: 12, iters: 44200, time: 0.040, data: 0.004) G_GAN: 0.683 G_L1: 5.013 D_real: 0.260 D_fake: 0.021 
(epoch: 12, iters: 44300, time: 0.040, data: 0.006) G_GAN: 0.816 G_L1: 4.918 D_real: 0.089 D_fake: 0.024 
(epoch: 12, iters: 44400, time: 0.038, data: 0.010) G_GAN: 1.120 G_L1: 5.636 D_real: 0.024 D_fake: 0.174 
(epoch: 12, iters: 44500, time: 0.038, data: 0.004) G_GAN: 0.976 G_L1: 5.344 D_real: 0.026 D_fake: 0.105 
(epoch: 12, iters: 44600, time: 0.034, data: 0.009) G_GAN: 0.792 G_L1: 4.965 D_real: 0.069 D_fake: 0.040 
(epoch: 12, iters: 44700, time: 0.038, data: 0.010) G_GAN: 1.172 G_L1: 6.199 D_real: 0.121 D_fake: 0.135 
(epoch: 12, iters: 44800, time: 0.036, data: 0.003) G_GAN: 0.658 G_L1: 5.354 D_real: 0.114 D_fake: 0.023 
(epoch: 12, iters: 44900, time: 0.044, data: 0.011) G_GAN: 0.923 G_L1: 5.571 D_real: 0.030 D_fake: 0.140 
(epoch: 12, iters: 45000, time: 0.043, data: 0.003) G_GAN: 1.078 G_L1: 4.837 D_real: 0.028 D_fake: 0.026 
(epoch: 12, iters: 45100, time: 0.039, data: 0.004) G_GAN: 0.805 G_L1: 5.598 D_real: 0.026 D_fake: 0.090 
(epoch: 12, iters: 45200, time: 0.040, data: 0.003) G_GAN: 0.865 G_L1: 4.808 D_real: 0.082 D_fake: 0.042 
(epoch: 12, iters: 45300, time: 0.041, data: 0.004) G_GAN: 0.875 G_L1: 5.556 D_real: 0.049 D_fake: 0.023 
(epoch: 12, iters: 45400, time: 0.042, data: 0.003) G_GAN: 1.084 G_L1: 6.598 D_real: 0.066 D_fake: 0.035 
(epoch: 12, iters: 45500, time: 0.042, data: 0.004) G_GAN: 0.676 G_L1: 5.082 D_real: 0.055 D_fake: 0.028 
(epoch: 12, iters: 45600, time: 0.043, data: 0.003) G_GAN: 0.697 G_L1: 6.175 D_real: 0.049 D_fake: 0.071 
(epoch: 12, iters: 45700, time: 0.037, data: 0.003) G_GAN: 0.935 G_L1: 5.249 D_real: 0.026 D_fake: 0.086 
(epoch: 12, iters: 45800, time: 0.038, data: 0.004) G_GAN: 0.991 G_L1: 6.259 D_real: 0.025 D_fake: 0.039 
(epoch: 12, iters: 45900, time: 0.036, data: 0.004) G_GAN: 0.927 G_L1: 4.931 D_real: 0.044 D_fake: 0.221 
(epoch: 12, iters: 46000, time: 0.062, data: 0.003) G_GAN: 1.120 G_L1: 4.819 D_real: 0.026 D_fake: 0.025 
(epoch: 12, iters: 46100, time: 0.041, data: 0.002) G_GAN: 1.013 G_L1: 5.384 D_real: 0.059 D_fake: 0.101 
(epoch: 12, iters: 46200, time: 0.041, data: 0.003) G_GAN: 0.636 G_L1: 4.152 D_real: 0.100 D_fake: 0.063 
(epoch: 12, iters: 46300, time: 0.042, data: 0.004) G_GAN: 1.015 G_L1: 4.498 D_real: 0.101 D_fake: 0.076 
(epoch: 12, iters: 46400, time: 0.043, data: 0.004) G_GAN: 0.939 G_L1: 4.535 D_real: 0.114 D_fake: 0.021 
(epoch: 12, iters: 46500, time: 0.035, data: 0.003) G_GAN: 0.647 G_L1: 6.239 D_real: 0.178 D_fake: 0.031 
(epoch: 12, iters: 46600, time: 0.038, data: 0.005) G_GAN: 0.945 G_L1: 4.633 D_real: 0.029 D_fake: 0.022 
(epoch: 12, iters: 46700, time: 0.042, data: 0.010) G_GAN: 0.879 G_L1: 5.559 D_real: 0.028 D_fake: 0.102 
(epoch: 12, iters: 46800, time: 0.044, data: 0.003) G_GAN: 0.934 G_L1: 4.880 D_real: 0.029 D_fake: 0.027 
(epoch: 12, iters: 46900, time: 0.037, data: 0.003) G_GAN: 0.789 G_L1: 5.412 D_real: 0.040 D_fake: 0.073 
(epoch: 12, iters: 47000, time: 0.039, data: 0.014) G_GAN: 1.004 G_L1: 4.685 D_real: 0.025 D_fake: 0.135 
saving the latest model (epoch 12, total_iters 575000)
(epoch: 12, iters: 47100, time: 0.040, data: 0.003) G_GAN: 0.895 G_L1: 5.723 D_real: 0.069 D_fake: 0.027 
(epoch: 12, iters: 47200, time: 0.041, data: 0.004) G_GAN: 0.823 G_L1: 5.176 D_real: 0.025 D_fake: 0.146 
(epoch: 12, iters: 47300, time: 0.037, data: 0.005) G_GAN: 0.760 G_L1: 4.443 D_real: 0.036 D_fake: 0.082 
(epoch: 12, iters: 47400, time: 0.037, data: 0.003) G_GAN: 1.229 G_L1: 5.605 D_real: 0.080 D_fake: 0.074 
(epoch: 12, iters: 47500, time: 0.041, data: 0.004) G_GAN: 1.014 G_L1: 4.887 D_real: 0.035 D_fake: 0.040 
(epoch: 12, iters: 47600, time: 0.040, data: 0.004) G_GAN: 0.850 G_L1: 4.869 D_real: 0.063 D_fake: 0.043 
(epoch: 12, iters: 47700, time: 0.038, data: 0.003) G_GAN: 0.924 G_L1: 5.198 D_real: 0.037 D_fake: 0.023 
(epoch: 12, iters: 47800, time: 0.043, data: 0.003) G_GAN: 0.881 G_L1: 5.691 D_real: 0.036 D_fake: 0.077 
(epoch: 12, iters: 47900, time: 0.040, data: 0.012) G_GAN: 1.039 G_L1: 5.285 D_real: 0.025 D_fake: 0.034 
(epoch: 12, iters: 48000, time: 0.081, data: 0.003) G_GAN: 0.922 G_L1: 6.281 D_real: 0.023 D_fake: 0.070 
saving the model at the end of epoch 12, iters 576000
End of epoch 12 / 20 	 Time Taken: 1223 sec
learning rate 0.0001455 -> 0.0001273
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
(epoch: 13, iters: 100, time: 0.035, data: 0.584) G_GAN: 0.607 G_L1: 4.188 D_real: 0.168 D_fake: 0.041 
(epoch: 13, iters: 200, time: 0.038, data: 0.009) G_GAN: 1.051 G_L1: 5.255 D_real: 0.020 D_fake: 0.020 
(epoch: 13, iters: 300, time: 0.034, data: 0.006) G_GAN: 0.864 G_L1: 4.535 D_real: 0.039 D_fake: 0.026 
(epoch: 13, iters: 400, time: 0.129, data: 0.007) G_GAN: 0.645 G_L1: 6.467 D_real: 0.086 D_fake: 0.034 
(epoch: 13, iters: 500, time: 0.041, data: 0.011) G_GAN: 0.796 G_L1: 4.987 D_real: 0.034 D_fake: 0.036 
(epoch: 13, iters: 600, time: 0.042, data: 0.002) G_GAN: 1.044 G_L1: 5.306 D_real: 0.038 D_fake: 0.026 
(epoch: 13, iters: 700, time: 0.039, data: 0.005) G_GAN: 1.027 G_L1: 5.585 D_real: 0.056 D_fake: 0.213 
(epoch: 13, iters: 800, time: 0.039, data: 0.009) G_GAN: 0.850 G_L1: 5.006 D_real: 0.028 D_fake: 0.065 
(epoch: 13, iters: 900, time: 0.038, data: 0.003) G_GAN: 0.757 G_L1: 4.732 D_real: 0.166 D_fake: 0.022 
(epoch: 13, iters: 1000, time: 0.037, data: 0.007) G_GAN: 0.625 G_L1: 6.227 D_real: 0.329 D_fake: 0.040 
(epoch: 13, iters: 1100, time: 0.040, data: 0.003) G_GAN: 0.814 G_L1: 5.586 D_real: 0.114 D_fake: 0.036 
(epoch: 13, iters: 1200, time: 0.042, data: 0.002) G_GAN: 0.625 G_L1: 5.895 D_real: 0.147 D_fake: 0.031 
(epoch: 13, iters: 1300, time: 0.039, data: 0.005) G_GAN: 0.831 G_L1: 5.271 D_real: 0.088 D_fake: 0.029 
(epoch: 13, iters: 1400, time: 0.025, data: 0.045) G_GAN: 0.728 G_L1: 4.799 D_real: 0.153 D_fake: 0.032 
(epoch: 13, iters: 1500, time: 0.034, data: 0.011) G_GAN: 0.855 G_L1: 6.002 D_real: 0.116 D_fake: 0.027 
(epoch: 13, iters: 1600, time: 0.035, data: 0.002) G_GAN: 0.779 G_L1: 5.068 D_real: 0.084 D_fake: 0.024 
(epoch: 13, iters: 1700, time: 0.040, data: 0.004) G_GAN: 0.904 G_L1: 4.130 D_real: 0.049 D_fake: 0.030 
(epoch: 13, iters: 1800, time: 0.027, data: 0.048) G_GAN: 0.712 G_L1: 4.704 D_real: 0.160 D_fake: 0.030 
(epoch: 13, iters: 1900, time: 0.039, data: 0.002) G_GAN: 0.710 G_L1: 4.808 D_real: 0.089 D_fake: 0.033 
(epoch: 13, iters: 2000, time: 0.133, data: 0.002) G_GAN: 0.805 G_L1: 4.846 D_real: 0.055 D_fake: 0.033 
(epoch: 13, iters: 2100, time: 0.042, data: 0.003) G_GAN: 1.007 G_L1: 4.168 D_real: 0.024 D_fake: 0.049 
(epoch: 13, iters: 2200, time: 0.035, data: 0.004) G_GAN: 0.729 G_L1: 5.051 D_real: 0.093 D_fake: 0.053 
(epoch: 13, iters: 2300, time: 0.037, data: 0.015) G_GAN: 1.705 G_L1: 4.853 D_real: 0.056 D_fake: 0.207 
(epoch: 13, iters: 2400, time: 0.033, data: 0.006) G_GAN: 0.766 G_L1: 5.251 D_real: 0.056 D_fake: 0.064 
(epoch: 13, iters: 2500, time: 0.041, data: 0.002) G_GAN: 0.846 G_L1: 6.588 D_real: 0.057 D_fake: 0.034 
(epoch: 13, iters: 2600, time: 0.035, data: 0.043) G_GAN: 0.767 G_L1: 5.321 D_real: 0.059 D_fake: 0.046 
(epoch: 13, iters: 2700, time: 0.037, data: 0.012) G_GAN: 0.722 G_L1: 6.745 D_real: 0.041 D_fake: 0.104 
(epoch: 13, iters: 2800, time: 0.042, data: 0.002) G_GAN: 0.782 G_L1: 5.346 D_real: 0.110 D_fake: 0.029 
(epoch: 13, iters: 2900, time: 0.043, data: 0.023) G_GAN: 0.760 G_L1: 5.100 D_real: 0.029 D_fake: 0.179 
(epoch: 13, iters: 3000, time: 0.033, data: 0.007) G_GAN: 1.417 G_L1: 6.593 D_real: 0.075 D_fake: 0.069 
(epoch: 13, iters: 3100, time: 0.039, data: 0.009) G_GAN: 1.121 G_L1: 5.491 D_real: 0.027 D_fake: 0.058 
(epoch: 13, iters: 3200, time: 0.038, data: 0.003) G_GAN: 0.908 G_L1: 4.415 D_real: 0.023 D_fake: 0.066 
(epoch: 13, iters: 3300, time: 0.035, data: 0.010) G_GAN: 0.952 G_L1: 6.106 D_real: 0.040 D_fake: 0.069 
(epoch: 13, iters: 3400, time: 0.037, data: 0.030) G_GAN: 0.873 G_L1: 5.506 D_real: 0.049 D_fake: 0.034 
(epoch: 13, iters: 3500, time: 0.040, data: 0.014) G_GAN: 0.909 G_L1: 5.922 D_real: 0.051 D_fake: 0.040 
(epoch: 13, iters: 3600, time: 0.037, data: 0.003) G_GAN: 0.833 G_L1: 5.200 D_real: 0.076 D_fake: 0.053 
(epoch: 13, iters: 3700, time: 0.027, data: 0.027) G_GAN: 0.861 G_L1: 4.704 D_real: 0.046 D_fake: 0.055 
(epoch: 13, iters: 3800, time: 0.034, data: 0.006) G_GAN: 0.960 G_L1: 5.239 D_real: 0.034 D_fake: 0.091 
(epoch: 13, iters: 3900, time: 0.037, data: 0.009) G_GAN: 0.770 G_L1: 4.980 D_real: 0.124 D_fake: 0.083 
(epoch: 13, iters: 4000, time: 0.120, data: 0.003) G_GAN: 1.026 G_L1: 5.736 D_real: 0.025 D_fake: 0.137 
saving the latest model (epoch 13, total_iters 580000)
(epoch: 13, iters: 4100, time: 0.033, data: 0.004) G_GAN: 0.682 G_L1: 6.666 D_real: 0.088 D_fake: 0.133 
(epoch: 13, iters: 4200, time: 0.038, data: 0.021) G_GAN: 0.919 G_L1: 6.537 D_real: 0.056 D_fake: 0.037 
(epoch: 13, iters: 4300, time: 0.034, data: 0.009) G_GAN: 1.046 G_L1: 5.124 D_real: 0.065 D_fake: 0.033 
(epoch: 13, iters: 4400, time: 0.038, data: 0.002) G_GAN: 0.650 G_L1: 4.967 D_real: 0.078 D_fake: 0.073 
(epoch: 13, iters: 4500, time: 0.036, data: 0.014) G_GAN: 0.731 G_L1: 5.141 D_real: 0.066 D_fake: 0.084 
(epoch: 13, iters: 4600, time: 0.038, data: 0.003) G_GAN: 0.682 G_L1: 5.601 D_real: 0.088 D_fake: 0.044 
(epoch: 13, iters: 4700, time: 0.039, data: 0.020) G_GAN: 0.590 G_L1: 6.268 D_real: 0.063 D_fake: 0.049 
(epoch: 13, iters: 4800, time: 0.039, data: 0.003) G_GAN: 0.866 G_L1: 5.288 D_real: 0.153 D_fake: 0.057 
(epoch: 13, iters: 4900, time: 0.031, data: 0.024) G_GAN: 0.749 G_L1: 4.832 D_real: 0.110 D_fake: 0.039 
(epoch: 13, iters: 5000, time: 0.036, data: 0.022) G_GAN: 0.717 G_L1: 4.961 D_real: 0.088 D_fake: 0.034 
(epoch: 13, iters: 5100, time: 0.037, data: 0.004) G_GAN: 0.758 G_L1: 4.420 D_real: 0.069 D_fake: 0.034 
(epoch: 13, iters: 5200, time: 0.041, data: 0.024) G_GAN: 0.788 G_L1: 5.416 D_real: 0.100 D_fake: 0.033 
(epoch: 13, iters: 5300, time: 0.035, data: 0.005) G_GAN: 0.847 G_L1: 4.854 D_real: 0.064 D_fake: 0.048 
(epoch: 13, iters: 5400, time: 0.040, data: 0.064) G_GAN: 0.800 G_L1: 5.095 D_real: 0.065 D_fake: 0.056 
(epoch: 13, iters: 5500, time: 0.026, data: 0.071) G_GAN: 0.798 G_L1: 5.987 D_real: 0.049 D_fake: 0.052 
(epoch: 13, iters: 5600, time: 0.043, data: 0.008) G_GAN: 0.716 G_L1: 4.537 D_real: 0.039 D_fake: 0.056 
(epoch: 13, iters: 5700, time: 0.040, data: 0.001) G_GAN: 1.027 G_L1: 5.309 D_real: 0.048 D_fake: 0.081 
(epoch: 13, iters: 5800, time: 0.039, data: 0.004) G_GAN: 0.922 G_L1: 5.218 D_real: 0.086 D_fake: 0.043 
(epoch: 13, iters: 5900, time: 0.037, data: 0.036) G_GAN: 0.612 G_L1: 7.121 D_real: 0.098 D_fake: 0.108 
(epoch: 13, iters: 6000, time: 0.194, data: 0.005) G_GAN: 0.711 G_L1: 4.934 D_real: 0.083 D_fake: 0.048 
(epoch: 13, iters: 6100, time: 0.030, data: 0.003) G_GAN: 1.114 G_L1: 5.501 D_real: 0.026 D_fake: 0.056 
(epoch: 13, iters: 6200, time: 0.039, data: 0.008) G_GAN: 0.795 G_L1: 5.077 D_real: 0.029 D_fake: 0.114 
(epoch: 13, iters: 6300, time: 0.042, data: 0.010) G_GAN: 0.923 G_L1: 5.769 D_real: 0.023 D_fake: 0.032 
(epoch: 13, iters: 6400, time: 0.024, data: 0.004) G_GAN: 0.557 G_L1: 5.688 D_real: 0.101 D_fake: 0.045 
(epoch: 13, iters: 6500, time: 0.040, data: 0.017) G_GAN: 0.806 G_L1: 6.527 D_real: 0.060 D_fake: 0.054 
(epoch: 13, iters: 6600, time: 0.040, data: 0.005) G_GAN: 0.700 G_L1: 6.077 D_real: 0.072 D_fake: 0.106 
(epoch: 13, iters: 6700, time: 0.035, data: 0.023) G_GAN: 0.752 G_L1: 5.578 D_real: 0.067 D_fake: 0.050 
(epoch: 13, iters: 6800, time: 0.041, data: 0.002) G_GAN: 0.982 G_L1: 5.761 D_real: 0.074 D_fake: 0.071 
(epoch: 13, iters: 6900, time: 0.042, data: 0.002) G_GAN: 0.660 G_L1: 5.353 D_real: 0.108 D_fake: 0.152 
(epoch: 13, iters: 7000, time: 0.043, data: 0.003) G_GAN: 0.737 G_L1: 4.355 D_real: 0.044 D_fake: 0.064 
(epoch: 13, iters: 7100, time: 0.026, data: 0.087) G_GAN: 0.726 G_L1: 5.131 D_real: 0.058 D_fake: 0.060 
(epoch: 13, iters: 7200, time: 0.041, data: 0.002) G_GAN: 0.782 G_L1: 5.672 D_real: 0.077 D_fake: 0.049 
(epoch: 13, iters: 7300, time: 0.039, data: 0.003) G_GAN: 0.699 G_L1: 6.120 D_real: 0.048 D_fake: 0.044 
(epoch: 13, iters: 7400, time: 0.035, data: 0.001) G_GAN: 0.991 G_L1: 5.438 D_real: 0.029 D_fake: 0.038 
(epoch: 13, iters: 7500, time: 0.035, data: 0.027) G_GAN: 0.893 G_L1: 5.171 D_real: 0.035 D_fake: 0.058 
(epoch: 13, iters: 7600, time: 0.026, data: 0.018) G_GAN: 0.935 G_L1: 4.953 D_real: 0.068 D_fake: 0.034 
(epoch: 13, iters: 7700, time: 0.041, data: 0.002) G_GAN: 0.817 G_L1: 4.436 D_real: 0.060 D_fake: 0.054 
(epoch: 13, iters: 7800, time: 0.040, data: 0.002) G_GAN: 0.644 G_L1: 6.320 D_real: 0.072 D_fake: 0.142 
(epoch: 13, iters: 7900, time: 0.026, data: 0.021) G_GAN: 0.836 G_L1: 5.332 D_real: 0.056 D_fake: 0.120 
(epoch: 13, iters: 8000, time: 0.131, data: 0.003) G_GAN: 0.560 G_L1: 6.096 D_real: 0.118 D_fake: 0.031 
(epoch: 13, iters: 8100, time: 0.034, data: 0.003) G_GAN: 0.898 G_L1: 6.371 D_real: 0.048 D_fake: 0.031 
(epoch: 13, iters: 8200, time: 0.039, data: 0.011) G_GAN: 0.820 G_L1: 4.846 D_real: 0.032 D_fake: 0.175 
(epoch: 13, iters: 8300, time: 0.036, data: 0.002) G_GAN: 0.669 G_L1: 4.662 D_real: 0.036 D_fake: 0.244 
(epoch: 13, iters: 8400, time: 0.035, data: 0.011) G_GAN: 0.949 G_L1: 5.020 D_real: 0.042 D_fake: 0.051 
(epoch: 13, iters: 8500, time: 0.030, data: 0.017) G_GAN: 1.367 G_L1: 5.022 D_real: 0.052 D_fake: 0.078 
(epoch: 13, iters: 8600, time: 0.050, data: 0.006) G_GAN: 1.186 G_L1: 4.707 D_real: 0.030 D_fake: 0.062 
(epoch: 13, iters: 8700, time: 0.040, data: 0.003) G_GAN: 1.043 G_L1: 6.296 D_real: 0.024 D_fake: 0.126 
(epoch: 13, iters: 8800, time: 0.037, data: 0.013) G_GAN: 0.688 G_L1: 5.677 D_real: 0.178 D_fake: 0.055 
(epoch: 13, iters: 8900, time: 0.028, data: 0.027) G_GAN: 0.804 G_L1: 5.469 D_real: 0.037 D_fake: 0.196 
(epoch: 13, iters: 9000, time: 0.040, data: 0.002) G_GAN: 0.782 G_L1: 5.758 D_real: 0.041 D_fake: 0.040 
saving the latest model (epoch 13, total_iters 585000)
(epoch: 13, iters: 9100, time: 0.039, data: 0.001) G_GAN: 0.739 G_L1: 4.788 D_real: 0.037 D_fake: 0.090 
(epoch: 13, iters: 9200, time: 0.041, data: 0.004) G_GAN: 0.708 G_L1: 5.545 D_real: 0.047 D_fake: 0.068 
(epoch: 13, iters: 9300, time: 0.036, data: 0.002) G_GAN: 0.841 G_L1: 4.365 D_real: 0.162 D_fake: 0.031 
(epoch: 13, iters: 9400, time: 0.036, data: 0.010) G_GAN: 1.271 G_L1: 6.451 D_real: 0.043 D_fake: 0.104 
(epoch: 13, iters: 9500, time: 0.040, data: 0.003) G_GAN: 0.761 G_L1: 5.344 D_real: 0.034 D_fake: 0.036 
(epoch: 13, iters: 9600, time: 0.036, data: 0.008) G_GAN: 1.497 G_L1: 5.474 D_real: 0.074 D_fake: 0.350 
(epoch: 13, iters: 9700, time: 0.039, data: 0.009) G_GAN: 0.597 G_L1: 4.384 D_real: 0.118 D_fake: 0.030 
(epoch: 13, iters: 9800, time: 0.043, data: 0.009) G_GAN: 0.942 G_L1: 4.856 D_real: 0.024 D_fake: 0.141 
(epoch: 13, iters: 9900, time: 0.040, data: 0.004) G_GAN: 1.224 G_L1: 4.477 D_real: 0.130 D_fake: 0.070 
(epoch: 13, iters: 10000, time: 0.097, data: 0.003) G_GAN: 0.793 G_L1: 4.463 D_real: 0.026 D_fake: 0.064 
(epoch: 13, iters: 10100, time: 0.038, data: 0.003) G_GAN: 0.693 G_L1: 7.301 D_real: 0.072 D_fake: 0.032 
(epoch: 13, iters: 10200, time: 0.045, data: 0.003) G_GAN: 0.970 G_L1: 5.586 D_real: 0.022 D_fake: 0.026 
(epoch: 13, iters: 10300, time: 0.041, data: 0.004) G_GAN: 0.750 G_L1: 4.991 D_real: 0.028 D_fake: 0.099 
(epoch: 13, iters: 10400, time: 0.039, data: 0.010) G_GAN: 0.622 G_L1: 5.677 D_real: 0.146 D_fake: 0.041 
(epoch: 13, iters: 10500, time: 0.038, data: 0.008) G_GAN: 1.079 G_L1: 6.076 D_real: 0.040 D_fake: 0.111 
(epoch: 13, iters: 10600, time: 0.039, data: 0.003) G_GAN: 0.944 G_L1: 4.163 D_real: 0.042 D_fake: 0.030 
(epoch: 13, iters: 10700, time: 0.039, data: 0.003) G_GAN: 0.484 G_L1: 4.682 D_real: 0.201 D_fake: 0.026 
(epoch: 13, iters: 10800, time: 0.041, data: 0.005) G_GAN: 0.915 G_L1: 5.466 D_real: 0.038 D_fake: 0.043 
(epoch: 13, iters: 10900, time: 0.045, data: 0.004) G_GAN: 0.970 G_L1: 6.330 D_real: 0.036 D_fake: 0.041 
(epoch: 13, iters: 11000, time: 0.039, data: 0.003) G_GAN: 0.936 G_L1: 4.480 D_real: 0.034 D_fake: 0.030 
(epoch: 13, iters: 11100, time: 0.038, data: 0.003) G_GAN: 0.720 G_L1: 5.812 D_real: 0.055 D_fake: 0.055 
(epoch: 13, iters: 11200, time: 0.040, data: 0.003) G_GAN: 0.723 G_L1: 4.952 D_real: 0.046 D_fake: 0.069 
(epoch: 13, iters: 11300, time: 0.037, data: 0.003) G_GAN: 0.634 G_L1: 4.938 D_real: 0.057 D_fake: 0.065 
(epoch: 13, iters: 11400, time: 0.038, data: 0.018) G_GAN: 0.900 G_L1: 4.953 D_real: 0.059 D_fake: 0.064 
(epoch: 13, iters: 11500, time: 0.040, data: 0.011) G_GAN: 0.841 G_L1: 5.071 D_real: 0.030 D_fake: 0.052 
(epoch: 13, iters: 11600, time: 0.041, data: 0.003) G_GAN: 0.670 G_L1: 6.125 D_real: 0.045 D_fake: 0.052 
(epoch: 13, iters: 11700, time: 0.041, data: 0.003) G_GAN: 0.677 G_L1: 6.030 D_real: 0.064 D_fake: 0.043 
(epoch: 13, iters: 11800, time: 0.037, data: 0.004) G_GAN: 0.593 G_L1: 5.798 D_real: 0.325 D_fake: 0.035 
(epoch: 13, iters: 11900, time: 0.044, data: 0.013) G_GAN: 1.033 G_L1: 4.986 D_real: 0.028 D_fake: 0.042 
(epoch: 13, iters: 12000, time: 0.096, data: 0.004) G_GAN: 0.783 G_L1: 5.339 D_real: 0.045 D_fake: 0.047 
(epoch: 13, iters: 12100, time: 0.039, data: 0.003) G_GAN: 0.931 G_L1: 5.016 D_real: 0.075 D_fake: 0.034 
(epoch: 13, iters: 12200, time: 0.043, data: 0.009) G_GAN: 1.167 G_L1: 7.125 D_real: 0.035 D_fake: 0.073 
(epoch: 13, iters: 12300, time: 0.040, data: 0.004) G_GAN: 0.848 G_L1: 5.046 D_real: 0.037 D_fake: 0.038 
(epoch: 13, iters: 12400, time: 0.037, data: 0.008) G_GAN: 0.789 G_L1: 5.147 D_real: 0.083 D_fake: 0.043 
(epoch: 13, iters: 12500, time: 0.037, data: 0.008) G_GAN: 0.767 G_L1: 4.599 D_real: 0.106 D_fake: 0.034 
(epoch: 13, iters: 12600, time: 0.039, data: 0.003) G_GAN: 0.569 G_L1: 5.049 D_real: 0.077 D_fake: 0.070 
(epoch: 13, iters: 12700, time: 0.042, data: 0.005) G_GAN: 0.699 G_L1: 5.732 D_real: 0.140 D_fake: 0.050 
(epoch: 13, iters: 12800, time: 0.040, data: 0.003) G_GAN: 0.966 G_L1: 6.176 D_real: 0.028 D_fake: 0.081 
(epoch: 13, iters: 12900, time: 0.039, data: 0.004) G_GAN: 0.835 G_L1: 4.410 D_real: 0.072 D_fake: 0.040 
(epoch: 13, iters: 13000, time: 0.038, data: 0.003) G_GAN: 0.622 G_L1: 5.395 D_real: 0.136 D_fake: 0.073 
(epoch: 13, iters: 13100, time: 0.039, data: 0.009) G_GAN: 0.839 G_L1: 5.133 D_real: 0.025 D_fake: 0.131 
(epoch: 13, iters: 13200, time: 0.037, data: 0.004) G_GAN: 0.754 G_L1: 5.027 D_real: 0.043 D_fake: 0.028 
(epoch: 13, iters: 13300, time: 0.039, data: 0.016) G_GAN: 0.878 G_L1: 5.278 D_real: 0.070 D_fake: 0.039 
(epoch: 13, iters: 13400, time: 0.038, data: 0.009) G_GAN: 0.691 G_L1: 5.362 D_real: 0.041 D_fake: 0.065 
(epoch: 13, iters: 13500, time: 0.044, data: 0.004) G_GAN: 0.759 G_L1: 5.167 D_real: 0.111 D_fake: 0.041 
(epoch: 13, iters: 13600, time: 0.044, data: 0.003) G_GAN: 0.654 G_L1: 5.920 D_real: 0.151 D_fake: 0.029 
(epoch: 13, iters: 13700, time: 0.042, data: 0.005) G_GAN: 0.791 G_L1: 5.094 D_real: 0.078 D_fake: 0.069 
(epoch: 13, iters: 13800, time: 0.038, data: 0.003) G_GAN: 0.822 G_L1: 5.118 D_real: 0.040 D_fake: 0.056 
(epoch: 13, iters: 13900, time: 0.039, data: 0.007) G_GAN: 0.902 G_L1: 4.656 D_real: 0.034 D_fake: 0.070 
(epoch: 13, iters: 14000, time: 0.092, data: 0.003) G_GAN: 1.473 G_L1: 5.485 D_real: 0.044 D_fake: 0.202 
saving the latest model (epoch 13, total_iters 590000)
(epoch: 13, iters: 14100, time: 0.042, data: 0.003) G_GAN: 0.735 G_L1: 4.444 D_real: 0.094 D_fake: 0.037 
(epoch: 13, iters: 14200, time: 0.036, data: 0.016) G_GAN: 0.854 G_L1: 4.599 D_real: 0.088 D_fake: 0.030 
(epoch: 13, iters: 14300, time: 0.039, data: 0.006) G_GAN: 0.748 G_L1: 5.137 D_real: 0.106 D_fake: 0.042 
(epoch: 13, iters: 14400, time: 0.038, data: 0.003) G_GAN: 0.695 G_L1: 5.090 D_real: 0.277 D_fake: 0.059 
(epoch: 13, iters: 14500, time: 0.040, data: 0.021) G_GAN: 0.760 G_L1: 4.325 D_real: 0.089 D_fake: 0.036 
(epoch: 13, iters: 14600, time: 0.039, data: 0.009) G_GAN: 0.709 G_L1: 5.287 D_real: 0.239 D_fake: 0.039 
(epoch: 13, iters: 14700, time: 0.038, data: 0.011) G_GAN: 0.589 G_L1: 5.688 D_real: 0.081 D_fake: 0.023 
(epoch: 13, iters: 14800, time: 0.039, data: 0.004) G_GAN: 0.981 G_L1: 6.115 D_real: 0.029 D_fake: 0.103 
(epoch: 13, iters: 14900, time: 0.041, data: 0.004) G_GAN: 0.731 G_L1: 5.513 D_real: 0.073 D_fake: 0.059 
(epoch: 13, iters: 15000, time: 0.039, data: 0.005) G_GAN: 0.975 G_L1: 5.056 D_real: 0.025 D_fake: 0.110 
(epoch: 13, iters: 15100, time: 0.037, data: 0.010) G_GAN: 0.849 G_L1: 5.138 D_real: 0.039 D_fake: 0.061 
(epoch: 13, iters: 15200, time: 0.040, data: 0.003) G_GAN: 0.786 G_L1: 6.042 D_real: 0.022 D_fake: 0.081 
(epoch: 13, iters: 15300, time: 0.038, data: 0.003) G_GAN: 0.943 G_L1: 5.181 D_real: 0.028 D_fake: 0.053 
(epoch: 13, iters: 15400, time: 0.037, data: 0.004) G_GAN: 0.892 G_L1: 5.132 D_real: 0.028 D_fake: 0.045 
(epoch: 13, iters: 15500, time: 0.036, data: 0.004) G_GAN: 0.669 G_L1: 5.808 D_real: 0.165 D_fake: 0.032 
(epoch: 13, iters: 15600, time: 0.037, data: 0.008) G_GAN: 0.857 G_L1: 6.079 D_real: 0.049 D_fake: 0.051 
(epoch: 13, iters: 15700, time: 0.038, data: 0.005) G_GAN: 0.850 G_L1: 4.676 D_real: 0.050 D_fake: 0.057 
(epoch: 13, iters: 15800, time: 0.038, data: 0.009) G_GAN: 1.368 G_L1: 5.847 D_real: 0.081 D_fake: 0.213 
(epoch: 13, iters: 15900, time: 0.039, data: 0.003) G_GAN: 0.609 G_L1: 5.403 D_real: 0.077 D_fake: 0.029 
(epoch: 13, iters: 16000, time: 0.066, data: 0.004) G_GAN: 0.950 G_L1: 4.992 D_real: 0.099 D_fake: 0.037 
(epoch: 13, iters: 16100, time: 0.041, data: 0.006) G_GAN: 0.599 G_L1: 5.308 D_real: 0.125 D_fake: 0.039 
(epoch: 13, iters: 16200, time: 0.040, data: 0.003) G_GAN: 0.848 G_L1: 4.810 D_real: 0.026 D_fake: 0.042 
(epoch: 13, iters: 16300, time: 0.039, data: 0.004) G_GAN: 0.803 G_L1: 5.346 D_real: 0.039 D_fake: 0.126 
(epoch: 13, iters: 16400, time: 0.043, data: 0.004) G_GAN: 0.854 G_L1: 4.936 D_real: 0.091 D_fake: 0.031 
(epoch: 13, iters: 16500, time: 0.041, data: 0.005) G_GAN: 0.849 G_L1: 5.096 D_real: 0.054 D_fake: 0.039 
(epoch: 13, iters: 16600, time: 0.033, data: 0.003) G_GAN: 0.793 G_L1: 5.222 D_real: 0.218 D_fake: 0.048 
(epoch: 13, iters: 16700, time: 0.041, data: 0.004) G_GAN: 1.032 G_L1: 4.889 D_real: 0.054 D_fake: 0.046 
(epoch: 13, iters: 16800, time: 0.040, data: 0.004) G_GAN: 0.602 G_L1: 5.399 D_real: 0.097 D_fake: 0.061 
(epoch: 13, iters: 16900, time: 0.041, data: 0.014) G_GAN: 0.883 G_L1: 5.264 D_real: 0.118 D_fake: 0.039 
(epoch: 13, iters: 17000, time: 0.035, data: 0.008) G_GAN: 1.052 G_L1: 5.273 D_real: 0.102 D_fake: 0.033 
(epoch: 13, iters: 17100, time: 0.037, data: 0.003) G_GAN: 1.106 G_L1: 6.536 D_real: 0.046 D_fake: 0.124 
(epoch: 13, iters: 17200, time: 0.039, data: 0.005) G_GAN: 0.798 G_L1: 6.829 D_real: 0.051 D_fake: 0.046 
(epoch: 13, iters: 17300, time: 0.039, data: 0.004) G_GAN: 0.621 G_L1: 4.815 D_real: 0.142 D_fake: 0.063 
(epoch: 13, iters: 17400, time: 0.038, data: 0.010) G_GAN: 0.797 G_L1: 6.140 D_real: 0.098 D_fake: 0.043 
(epoch: 13, iters: 17500, time: 0.037, data: 0.009) G_GAN: 0.587 G_L1: 5.900 D_real: 0.122 D_fake: 0.030 
(epoch: 13, iters: 17600, time: 0.042, data: 0.004) G_GAN: 0.718 G_L1: 4.936 D_real: 0.056 D_fake: 0.085 
(epoch: 13, iters: 17700, time: 0.036, data: 0.004) G_GAN: 0.701 G_L1: 5.067 D_real: 0.036 D_fake: 0.283 
(epoch: 13, iters: 17800, time: 0.038, data: 0.018) G_GAN: 0.901 G_L1: 4.837 D_real: 0.028 D_fake: 0.265 
(epoch: 13, iters: 17900, time: 0.036, data: 0.003) G_GAN: 1.044 G_L1: 5.537 D_real: 0.025 D_fake: 0.061 
(epoch: 13, iters: 18000, time: 0.067, data: 0.004) G_GAN: 0.757 G_L1: 5.605 D_real: 0.070 D_fake: 0.039 
(epoch: 13, iters: 18100, time: 0.040, data: 0.003) G_GAN: 0.779 G_L1: 5.221 D_real: 0.038 D_fake: 0.151 
(epoch: 13, iters: 18200, time: 0.039, data: 0.010) G_GAN: 1.032 G_L1: 5.872 D_real: 0.034 D_fake: 0.066 
(epoch: 13, iters: 18300, time: 0.038, data: 0.004) G_GAN: 1.035 G_L1: 5.852 D_real: 0.029 D_fake: 0.034 
(epoch: 13, iters: 18400, time: 0.041, data: 0.005) G_GAN: 0.790 G_L1: 5.343 D_real: 0.034 D_fake: 0.045 
(epoch: 13, iters: 18500, time: 0.035, data: 0.003) G_GAN: 0.748 G_L1: 6.151 D_real: 0.061 D_fake: 0.032 
(epoch: 13, iters: 18600, time: 0.039, data: 0.007) G_GAN: 1.023 G_L1: 4.534 D_real: 0.027 D_fake: 0.046 
(epoch: 13, iters: 18700, time: 0.040, data: 0.003) G_GAN: 0.735 G_L1: 4.924 D_real: 0.026 D_fake: 0.123 
(epoch: 13, iters: 18800, time: 0.038, data: 0.003) G_GAN: 0.877 G_L1: 4.560 D_real: 0.040 D_fake: 0.049 
(epoch: 13, iters: 18900, time: 0.040, data: 0.011) G_GAN: 0.673 G_L1: 5.024 D_real: 0.152 D_fake: 0.062 
(epoch: 13, iters: 19000, time: 0.041, data: 0.008) G_GAN: 0.673 G_L1: 4.893 D_real: 0.068 D_fake: 0.114 
saving the latest model (epoch 13, total_iters 595000)
(epoch: 13, iters: 19100, time: 0.036, data: 0.003) G_GAN: 0.718 G_L1: 5.375 D_real: 0.093 D_fake: 0.078 
(epoch: 13, iters: 19200, time: 0.045, data: 0.003) G_GAN: 0.774 G_L1: 5.990 D_real: 0.072 D_fake: 0.051 
(epoch: 13, iters: 19300, time: 0.038, data: 0.005) G_GAN: 0.769 G_L1: 4.430 D_real: 0.073 D_fake: 0.042 
(epoch: 13, iters: 19400, time: 0.038, data: 0.004) G_GAN: 0.762 G_L1: 5.656 D_real: 0.091 D_fake: 0.038 
(epoch: 13, iters: 19500, time: 0.036, data: 0.003) G_GAN: 0.924 G_L1: 5.685 D_real: 0.034 D_fake: 0.032 
(epoch: 13, iters: 19600, time: 0.039, data: 0.003) G_GAN: 0.773 G_L1: 4.741 D_real: 0.034 D_fake: 0.084 
(epoch: 13, iters: 19700, time: 0.042, data: 0.007) G_GAN: 0.981 G_L1: 5.346 D_real: 0.044 D_fake: 0.034 
(epoch: 13, iters: 19800, time: 0.036, data: 0.016) G_GAN: 0.940 G_L1: 5.395 D_real: 0.025 D_fake: 0.121 
(epoch: 13, iters: 19900, time: 0.042, data: 0.009) G_GAN: 0.707 G_L1: 4.168 D_real: 0.214 D_fake: 0.074 
(epoch: 13, iters: 20000, time: 0.082, data: 0.004) G_GAN: 0.612 G_L1: 5.701 D_real: 0.070 D_fake: 0.066 
(epoch: 13, iters: 20100, time: 0.035, data: 0.003) G_GAN: 0.751 G_L1: 5.027 D_real: 0.025 D_fake: 0.133 
(epoch: 13, iters: 20200, time: 0.037, data: 0.004) G_GAN: 1.111 G_L1: 4.657 D_real: 0.031 D_fake: 0.035 
(epoch: 13, iters: 20300, time: 0.038, data: 0.003) G_GAN: 1.093 G_L1: 4.708 D_real: 0.026 D_fake: 0.043 
(epoch: 13, iters: 20400, time: 0.040, data: 0.005) G_GAN: 0.656 G_L1: 4.140 D_real: 0.059 D_fake: 0.074 
(epoch: 13, iters: 20500, time: 0.038, data: 0.004) G_GAN: 1.067 G_L1: 5.389 D_real: 0.048 D_fake: 0.107 
(epoch: 13, iters: 20600, time: 0.042, data: 0.003) G_GAN: 0.819 G_L1: 4.481 D_real: 0.066 D_fake: 0.034 
(epoch: 13, iters: 20700, time: 0.039, data: 0.010) G_GAN: 0.868 G_L1: 4.430 D_real: 0.075 D_fake: 0.032 
(epoch: 13, iters: 20800, time: 0.039, data: 0.015) G_GAN: 0.862 G_L1: 5.826 D_real: 0.064 D_fake: 0.081 
(epoch: 13, iters: 20900, time: 0.038, data: 0.008) G_GAN: 0.925 G_L1: 5.867 D_real: 0.033 D_fake: 0.079 
(epoch: 13, iters: 21000, time: 0.037, data: 0.004) G_GAN: 0.895 G_L1: 6.022 D_real: 0.047 D_fake: 0.072 
(epoch: 13, iters: 21100, time: 0.045, data: 0.003) G_GAN: 0.911 G_L1: 6.122 D_real: 0.041 D_fake: 0.069 
(epoch: 13, iters: 21200, time: 0.041, data: 0.004) G_GAN: 0.865 G_L1: 5.028 D_real: 0.049 D_fake: 0.101 
(epoch: 13, iters: 21300, time: 0.034, data: 0.003) G_GAN: 0.811 G_L1: 5.271 D_real: 0.123 D_fake: 0.033 
(epoch: 13, iters: 21400, time: 0.037, data: 0.010) G_GAN: 0.808 G_L1: 6.409 D_real: 0.067 D_fake: 0.028 
(epoch: 13, iters: 21500, time: 0.041, data: 0.013) G_GAN: 0.979 G_L1: 5.561 D_real: 0.029 D_fake: 0.028 
(epoch: 13, iters: 21600, time: 0.035, data: 0.005) G_GAN: 1.156 G_L1: 5.137 D_real: 0.031 D_fake: 0.082 
(epoch: 13, iters: 21700, time: 0.036, data: 0.005) G_GAN: 1.093 G_L1: 5.673 D_real: 0.029 D_fake: 0.107 
(epoch: 13, iters: 21800, time: 0.044, data: 0.004) G_GAN: 0.480 G_L1: 4.688 D_real: 0.157 D_fake: 0.039 
(epoch: 13, iters: 21900, time: 0.037, data: 0.003) G_GAN: 0.903 G_L1: 4.700 D_real: 0.044 D_fake: 0.065 
(epoch: 13, iters: 22000, time: 0.086, data: 0.008) G_GAN: 0.806 G_L1: 5.062 D_real: 0.044 D_fake: 0.035 
(epoch: 13, iters: 22100, time: 0.042, data: 0.003) G_GAN: 0.870 G_L1: 5.164 D_real: 0.045 D_fake: 0.037 
(epoch: 13, iters: 22200, time: 0.042, data: 0.004) G_GAN: 0.894 G_L1: 5.006 D_real: 0.029 D_fake: 0.068 
(epoch: 13, iters: 22300, time: 0.042, data: 0.003) G_GAN: 0.784 G_L1: 5.375 D_real: 0.053 D_fake: 0.033 
(epoch: 13, iters: 22400, time: 0.040, data: 0.004) G_GAN: 0.716 G_L1: 5.364 D_real: 0.042 D_fake: 0.066 
(epoch: 13, iters: 22500, time: 0.039, data: 0.004) G_GAN: 0.508 G_L1: 5.855 D_real: 0.219 D_fake: 0.048 
(epoch: 13, iters: 22600, time: 0.040, data: 0.003) G_GAN: 0.919 G_L1: 5.436 D_real: 0.048 D_fake: 0.061 
(epoch: 13, iters: 22700, time: 0.040, data: 0.003) G_GAN: 0.703 G_L1: 5.164 D_real: 0.085 D_fake: 0.078 
(epoch: 13, iters: 22800, time: 0.039, data: 0.004) G_GAN: 1.063 G_L1: 4.931 D_real: 0.024 D_fake: 0.077 
(epoch: 13, iters: 22900, time: 0.041, data: 0.004) G_GAN: 0.943 G_L1: 4.660 D_real: 0.026 D_fake: 0.080 
(epoch: 13, iters: 23000, time: 0.043, data: 0.010) G_GAN: 0.834 G_L1: 4.997 D_real: 0.061 D_fake: 0.032 
(epoch: 13, iters: 23100, time: 0.042, data: 0.003) G_GAN: 0.610 G_L1: 5.407 D_real: 0.058 D_fake: 0.076 
(epoch: 13, iters: 23200, time: 0.039, data: 0.011) G_GAN: 0.654 G_L1: 4.424 D_real: 0.104 D_fake: 0.051 
(epoch: 13, iters: 23300, time: 0.039, data: 0.013) G_GAN: 0.851 G_L1: 6.474 D_real: 0.040 D_fake: 0.052 
(epoch: 13, iters: 23400, time: 0.040, data: 0.003) G_GAN: 0.954 G_L1: 5.581 D_real: 0.040 D_fake: 0.101 
(epoch: 13, iters: 23500, time: 0.037, data: 0.005) G_GAN: 1.135 G_L1: 5.160 D_real: 0.029 D_fake: 0.030 
(epoch: 13, iters: 23600, time: 0.037, data: 0.024) G_GAN: 0.655 G_L1: 5.329 D_real: 0.054 D_fake: 0.033 
(epoch: 13, iters: 23700, time: 0.041, data: 0.004) G_GAN: 0.703 G_L1: 4.647 D_real: 0.121 D_fake: 0.031 
(epoch: 13, iters: 23800, time: 0.040, data: 0.003) G_GAN: 0.745 G_L1: 4.894 D_real: 0.027 D_fake: 0.135 
(epoch: 13, iters: 23900, time: 0.035, data: 0.003) G_GAN: 0.711 G_L1: 4.581 D_real: 0.050 D_fake: 0.057 
(epoch: 13, iters: 24000, time: 0.085, data: 0.004) G_GAN: 0.675 G_L1: 5.786 D_real: 0.089 D_fake: 0.022 
saving the latest model (epoch 13, total_iters 600000)
(epoch: 13, iters: 24100, time: 0.041, data: 0.003) G_GAN: 0.876 G_L1: 5.055 D_real: 0.065 D_fake: 0.092 
(epoch: 13, iters: 24200, time: 0.037, data: 0.007) G_GAN: 0.670 G_L1: 5.867 D_real: 0.075 D_fake: 0.066 
(epoch: 13, iters: 24300, time: 0.042, data: 0.004) G_GAN: 0.872 G_L1: 4.907 D_real: 0.028 D_fake: 0.086 
(epoch: 13, iters: 24400, time: 0.041, data: 0.010) G_GAN: 0.870 G_L1: 5.181 D_real: 0.023 D_fake: 0.043 
(epoch: 13, iters: 24500, time: 0.042, data: 0.002) G_GAN: 1.192 G_L1: 5.918 D_real: 0.030 D_fake: 0.031 
(epoch: 13, iters: 24600, time: 0.041, data: 0.004) G_GAN: 0.687 G_L1: 6.053 D_real: 0.105 D_fake: 0.036 
(epoch: 13, iters: 24700, time: 0.042, data: 0.004) G_GAN: 0.873 G_L1: 5.431 D_real: 0.097 D_fake: 0.029 
(epoch: 13, iters: 24800, time: 0.037, data: 0.007) G_GAN: 0.486 G_L1: 5.025 D_real: 0.216 D_fake: 0.032 
(epoch: 13, iters: 24900, time: 0.040, data: 0.004) G_GAN: 0.682 G_L1: 5.704 D_real: 0.041 D_fake: 0.037 
(epoch: 13, iters: 25000, time: 0.038, data: 0.004) G_GAN: 0.960 G_L1: 5.244 D_real: 0.032 D_fake: 0.110 
(epoch: 13, iters: 25100, time: 0.039, data: 0.004) G_GAN: 0.829 G_L1: 5.379 D_real: 0.142 D_fake: 0.040 
(epoch: 13, iters: 25200, time: 0.040, data: 0.003) G_GAN: 0.849 G_L1: 6.058 D_real: 0.044 D_fake: 0.146 
(epoch: 13, iters: 25300, time: 0.040, data: 0.003) G_GAN: 0.902 G_L1: 5.318 D_real: 0.046 D_fake: 0.037 
(epoch: 13, iters: 25400, time: 0.040, data: 0.003) G_GAN: 0.916 G_L1: 4.967 D_real: 0.031 D_fake: 0.116 
(epoch: 13, iters: 25500, time: 0.038, data: 0.003) G_GAN: 1.006 G_L1: 5.719 D_real: 0.032 D_fake: 0.028 
(epoch: 13, iters: 25600, time: 0.041, data: 0.003) G_GAN: 0.867 G_L1: 5.366 D_real: 0.073 D_fake: 0.040 
(epoch: 13, iters: 25700, time: 0.036, data: 0.003) G_GAN: 1.027 G_L1: 4.393 D_real: 0.021 D_fake: 0.109 
(epoch: 13, iters: 25800, time: 0.044, data: 0.012) G_GAN: 0.587 G_L1: 4.815 D_real: 0.073 D_fake: 0.069 
(epoch: 13, iters: 25900, time: 0.038, data: 0.003) G_GAN: 1.012 G_L1: 4.615 D_real: 0.035 D_fake: 0.075 
(epoch: 13, iters: 26000, time: 0.088, data: 0.003) G_GAN: 0.707 G_L1: 4.948 D_real: 0.229 D_fake: 0.065 
(epoch: 13, iters: 26100, time: 0.037, data: 0.003) G_GAN: 0.861 G_L1: 4.858 D_real: 0.037 D_fake: 0.044 
(epoch: 13, iters: 26200, time: 0.037, data: 0.003) G_GAN: 1.092 G_L1: 4.778 D_real: 0.027 D_fake: 0.071 
(epoch: 13, iters: 26300, time: 0.042, data: 0.004) G_GAN: 0.930 G_L1: 5.144 D_real: 0.031 D_fake: 0.040 
(epoch: 13, iters: 26400, time: 0.039, data: 0.004) G_GAN: 1.190 G_L1: 5.651 D_real: 0.028 D_fake: 0.109 
(epoch: 13, iters: 26500, time: 0.039, data: 0.009) G_GAN: 1.262 G_L1: 6.255 D_real: 0.043 D_fake: 0.124 
(epoch: 13, iters: 26600, time: 0.038, data: 0.004) G_GAN: 0.978 G_L1: 5.598 D_real: 0.031 D_fake: 0.089 
(epoch: 13, iters: 26700, time: 0.042, data: 0.004) G_GAN: 0.991 G_L1: 4.535 D_real: 0.025 D_fake: 0.062 
(epoch: 13, iters: 26800, time: 0.039, data: 0.004) G_GAN: 0.720 G_L1: 5.262 D_real: 0.128 D_fake: 0.034 
(epoch: 13, iters: 26900, time: 0.037, data: 0.004) G_GAN: 0.721 G_L1: 5.493 D_real: 0.138 D_fake: 0.052 
(epoch: 13, iters: 27000, time: 0.043, data: 0.003) G_GAN: 0.891 G_L1: 4.426 D_real: 0.049 D_fake: 0.097 
(epoch: 13, iters: 27100, time: 0.039, data: 0.009) G_GAN: 0.601 G_L1: 6.428 D_real: 0.167 D_fake: 0.042 
(epoch: 13, iters: 27200, time: 0.038, data: 0.003) G_GAN: 0.872 G_L1: 4.920 D_real: 0.040 D_fake: 0.035 
(epoch: 13, iters: 27300, time: 0.042, data: 0.010) G_GAN: 0.801 G_L1: 4.797 D_real: 0.155 D_fake: 0.025 
(epoch: 13, iters: 27400, time: 0.042, data: 0.003) G_GAN: 0.679 G_L1: 5.617 D_real: 0.049 D_fake: 0.096 
(epoch: 13, iters: 27500, time: 0.041, data: 0.003) G_GAN: 0.912 G_L1: 4.455 D_real: 0.032 D_fake: 0.083 
(epoch: 13, iters: 27600, time: 0.041, data: 0.004) G_GAN: 0.565 G_L1: 5.071 D_real: 0.082 D_fake: 0.045 
(epoch: 13, iters: 27700, time: 0.039, data: 0.004) G_GAN: 0.713 G_L1: 5.074 D_real: 0.079 D_fake: 0.044 
(epoch: 13, iters: 27800, time: 0.042, data: 0.003) G_GAN: 0.951 G_L1: 4.791 D_real: 0.061 D_fake: 0.045 
(epoch: 13, iters: 27900, time: 0.039, data: 0.003) G_GAN: 0.993 G_L1: 5.287 D_real: 0.028 D_fake: 0.050 
(epoch: 13, iters: 28000, time: 0.083, data: 0.011) G_GAN: 0.813 G_L1: 4.750 D_real: 0.040 D_fake: 0.036 
(epoch: 13, iters: 28100, time: 0.039, data: 0.003) G_GAN: 0.691 G_L1: 6.133 D_real: 0.134 D_fake: 0.049 
(epoch: 13, iters: 28200, time: 0.041, data: 0.015) G_GAN: 0.949 G_L1: 5.368 D_real: 0.037 D_fake: 0.033 
(epoch: 13, iters: 28300, time: 0.036, data: 0.004) G_GAN: 0.626 G_L1: 5.335 D_real: 0.176 D_fake: 0.035 
(epoch: 13, iters: 28400, time: 0.034, data: 0.016) G_GAN: 0.715 G_L1: 6.198 D_real: 0.063 D_fake: 0.031 
(epoch: 13, iters: 28500, time: 0.033, data: 0.006) G_GAN: 0.897 G_L1: 5.282 D_real: 0.124 D_fake: 0.073 
(epoch: 13, iters: 28600, time: 0.039, data: 0.003) G_GAN: 0.679 G_L1: 5.284 D_real: 0.084 D_fake: 0.068 
(epoch: 13, iters: 28700, time: 0.041, data: 0.011) G_GAN: 0.722 G_L1: 4.879 D_real: 0.106 D_fake: 0.028 
(epoch: 13, iters: 28800, time: 0.036, data: 0.005) G_GAN: 0.953 G_L1: 5.572 D_real: 0.025 D_fake: 0.114 
(epoch: 13, iters: 28900, time: 0.034, data: 0.004) G_GAN: 0.963 G_L1: 5.251 D_real: 0.027 D_fake: 0.031 
(epoch: 13, iters: 29000, time: 0.037, data: 0.004) G_GAN: 0.863 G_L1: 5.050 D_real: 0.116 D_fake: 0.036 
saving the latest model (epoch 13, total_iters 605000)
(epoch: 13, iters: 29100, time: 0.040, data: 0.004) G_GAN: 0.774 G_L1: 5.271 D_real: 0.062 D_fake: 0.069 
(epoch: 13, iters: 29200, time: 0.040, data: 0.004) G_GAN: 0.902 G_L1: 5.138 D_real: 0.088 D_fake: 0.026 
(epoch: 13, iters: 29300, time: 0.037, data: 0.004) G_GAN: 0.843 G_L1: 4.636 D_real: 0.139 D_fake: 0.032 
(epoch: 13, iters: 29400, time: 0.039, data: 0.004) G_GAN: 0.686 G_L1: 5.668 D_real: 0.124 D_fake: 0.037 
(epoch: 13, iters: 29500, time: 0.040, data: 0.003) G_GAN: 0.671 G_L1: 5.686 D_real: 0.114 D_fake: 0.039 
(epoch: 13, iters: 29600, time: 0.037, data: 0.003) G_GAN: 0.773 G_L1: 5.675 D_real: 0.053 D_fake: 0.050 
(epoch: 13, iters: 29700, time: 0.041, data: 0.010) G_GAN: 0.633 G_L1: 5.833 D_real: 0.115 D_fake: 0.037 
(epoch: 13, iters: 29800, time: 0.037, data: 0.003) G_GAN: 25.669 G_L1: 5.327 D_real: 12.513 D_fake: 14.906 
(epoch: 13, iters: 29900, time: 0.037, data: 0.006) G_GAN: 0.609 G_L1: 5.444 D_real: 0.116 D_fake: 0.307 
(epoch: 13, iters: 30000, time: 0.084, data: 0.006) G_GAN: 0.236 G_L1: 5.432 D_real: 0.194 D_fake: 0.440 
(epoch: 13, iters: 30100, time: 0.041, data: 0.003) G_GAN: 0.257 G_L1: 4.604 D_real: 0.368 D_fake: 0.309 
(epoch: 13, iters: 30200, time: 0.037, data: 0.011) G_GAN: 0.299 G_L1: 4.081 D_real: 0.277 D_fake: 0.246 
(epoch: 13, iters: 30300, time: 0.037, data: 0.003) G_GAN: 0.382 G_L1: 4.661 D_real: 0.342 D_fake: 0.167 
(epoch: 13, iters: 30400, time: 0.043, data: 0.003) G_GAN: 0.381 G_L1: 5.971 D_real: 0.326 D_fake: 0.200 
(epoch: 13, iters: 30500, time: 0.041, data: 0.003) G_GAN: 0.279 G_L1: 4.195 D_real: 0.297 D_fake: 0.325 
(epoch: 13, iters: 30600, time: 0.039, data: 0.004) G_GAN: 0.361 G_L1: 5.319 D_real: 0.222 D_fake: 0.188 
(epoch: 13, iters: 30700, time: 0.037, data: 0.003) G_GAN: 0.361 G_L1: 4.714 D_real: 0.226 D_fake: 0.258 
(epoch: 13, iters: 30800, time: 0.043, data: 0.003) G_GAN: 0.345 G_L1: 4.323 D_real: 0.222 D_fake: 0.215 
(epoch: 13, iters: 30900, time: 0.037, data: 0.004) G_GAN: 0.365 G_L1: 3.802 D_real: 0.250 D_fake: 0.206 
(epoch: 13, iters: 31000, time: 0.036, data: 0.014) G_GAN: 0.437 G_L1: 6.061 D_real: 0.140 D_fake: 0.181 
(epoch: 13, iters: 31100, time: 0.042, data: 0.003) G_GAN: 0.345 G_L1: 4.164 D_real: 0.279 D_fake: 0.187 
(epoch: 13, iters: 31200, time: 0.042, data: 0.009) G_GAN: 0.399 G_L1: 5.267 D_real: 0.128 D_fake: 0.155 
(epoch: 13, iters: 31300, time: 0.041, data: 0.003) G_GAN: 0.383 G_L1: 5.113 D_real: 0.100 D_fake: 0.211 
(epoch: 13, iters: 31400, time: 0.038, data: 0.004) G_GAN: 0.374 G_L1: 5.545 D_real: 0.111 D_fake: 0.216 
(epoch: 13, iters: 31500, time: 0.039, data: 0.003) G_GAN: 0.441 G_L1: 5.456 D_real: 0.125 D_fake: 0.172 
(epoch: 13, iters: 31600, time: 0.040, data: 0.017) G_GAN: 0.445 G_L1: 4.979 D_real: 0.162 D_fake: 0.114 
(epoch: 13, iters: 31700, time: 0.037, data: 0.004) G_GAN: 0.401 G_L1: 4.969 D_real: 0.197 D_fake: 0.163 
(epoch: 13, iters: 31800, time: 0.037, data: 0.004) G_GAN: 0.572 G_L1: 4.146 D_real: 0.097 D_fake: 0.095 
(epoch: 13, iters: 31900, time: 0.039, data: 0.005) G_GAN: 0.459 G_L1: 4.987 D_real: 0.135 D_fake: 0.154 
(epoch: 13, iters: 32000, time: 0.064, data: 0.004) G_GAN: 0.547 G_L1: 5.411 D_real: 0.171 D_fake: 0.097 
(epoch: 13, iters: 32100, time: 0.040, data: 0.003) G_GAN: 0.506 G_L1: 6.126 D_real: 0.204 D_fake: 0.093 
(epoch: 13, iters: 32200, time: 0.040, data: 0.005) G_GAN: 0.635 G_L1: 5.968 D_real: 0.134 D_fake: 0.039 
(epoch: 13, iters: 32300, time: 0.041, data: 0.003) G_GAN: 0.533 G_L1: 5.000 D_real: 0.155 D_fake: 0.095 
(epoch: 13, iters: 32400, time: 0.040, data: 0.003) G_GAN: 0.732 G_L1: 5.752 D_real: 0.161 D_fake: 0.036 
(epoch: 13, iters: 32500, time: 0.037, data: 0.009) G_GAN: 0.501 G_L1: 5.688 D_real: 0.062 D_fake: 0.162 
(epoch: 13, iters: 32600, time: 0.040, data: 0.003) G_GAN: 0.693 G_L1: 4.180 D_real: 0.149 D_fake: 0.040 
(epoch: 13, iters: 32700, time: 0.041, data: 0.004) G_GAN: 0.682 G_L1: 4.910 D_real: 0.035 D_fake: 0.104 
(epoch: 13, iters: 32800, time: 0.037, data: 0.003) G_GAN: 0.637 G_L1: 4.623 D_real: 0.102 D_fake: 0.068 
(epoch: 13, iters: 32900, time: 0.039, data: 0.005) G_GAN: 0.863 G_L1: 5.467 D_real: 0.029 D_fake: 0.068 
(epoch: 13, iters: 33000, time: 0.041, data: 0.011) G_GAN: 0.630 G_L1: 4.704 D_real: 0.023 D_fake: 0.111 
(epoch: 13, iters: 33100, time: 0.034, data: 0.003) G_GAN: 0.718 G_L1: 4.774 D_real: 0.053 D_fake: 0.067 
(epoch: 13, iters: 33200, time: 0.036, data: 0.003) G_GAN: 0.774 G_L1: 4.856 D_real: 0.028 D_fake: 0.059 
(epoch: 13, iters: 33300, time: 0.036, data: 0.003) G_GAN: 0.633 G_L1: 4.126 D_real: 0.137 D_fake: 0.044 
(epoch: 13, iters: 33400, time: 0.040, data: 0.007) G_GAN: 0.675 G_L1: 6.102 D_real: 0.055 D_fake: 0.068 
(epoch: 13, iters: 33500, time: 0.040, data: 0.005) G_GAN: 0.692 G_L1: 4.803 D_real: 0.038 D_fake: 0.059 
(epoch: 13, iters: 33600, time: 0.037, data: 0.003) G_GAN: 0.674 G_L1: 4.747 D_real: 0.043 D_fake: 0.067 
(epoch: 13, iters: 33700, time: 0.041, data: 0.004) G_GAN: 0.701 G_L1: 4.228 D_real: 0.051 D_fake: 0.060 
(epoch: 13, iters: 33800, time: 0.040, data: 0.006) G_GAN: 0.716 G_L1: 5.376 D_real: 0.031 D_fake: 0.063 
(epoch: 13, iters: 33900, time: 0.038, data: 0.003) G_GAN: 0.718 G_L1: 4.967 D_real: 0.082 D_fake: 0.040 
(epoch: 13, iters: 34000, time: 0.063, data: 0.010) G_GAN: 0.661 G_L1: 4.816 D_real: 0.111 D_fake: 0.072 
saving the latest model (epoch 13, total_iters 610000)
(epoch: 13, iters: 34100, time: 0.038, data: 0.004) G_GAN: 0.736 G_L1: 5.055 D_real: 0.034 D_fake: 0.066 
(epoch: 13, iters: 34200, time: 0.034, data: 0.015) G_GAN: 0.684 G_L1: 4.898 D_real: 0.118 D_fake: 0.040 
(epoch: 13, iters: 34300, time: 0.041, data: 0.003) G_GAN: 0.675 G_L1: 5.007 D_real: 0.081 D_fake: 0.058 
(epoch: 13, iters: 34400, time: 0.041, data: 0.003) G_GAN: 0.706 G_L1: 5.460 D_real: 0.046 D_fake: 0.041 
(epoch: 13, iters: 34500, time: 0.039, data: 0.003) G_GAN: 0.514 G_L1: 4.545 D_real: 0.177 D_fake: 0.131 
(epoch: 13, iters: 34600, time: 0.033, data: 0.003) G_GAN: 0.824 G_L1: 5.891 D_real: 0.039 D_fake: 0.154 
(epoch: 13, iters: 34700, time: 0.038, data: 0.003) G_GAN: 0.617 G_L1: 5.782 D_real: 0.146 D_fake: 0.027 
(epoch: 13, iters: 34800, time: 0.038, data: 0.003) G_GAN: 0.626 G_L1: 5.656 D_real: 0.127 D_fake: 0.042 
(epoch: 13, iters: 34900, time: 0.039, data: 0.014) G_GAN: 0.725 G_L1: 5.734 D_real: 0.023 D_fake: 0.094 
(epoch: 13, iters: 35000, time: 0.043, data: 0.005) G_GAN: 0.747 G_L1: 5.682 D_real: 0.062 D_fake: 0.046 
(epoch: 13, iters: 35100, time: 0.034, data: 0.003) G_GAN: 0.691 G_L1: 5.614 D_real: 0.026 D_fake: 0.141 
(epoch: 13, iters: 35200, time: 0.036, data: 0.005) G_GAN: 0.555 G_L1: 4.776 D_real: 0.091 D_fake: 0.083 
(epoch: 13, iters: 35300, time: 0.036, data: 0.021) G_GAN: 0.617 G_L1: 5.087 D_real: 0.033 D_fake: 0.090 
(epoch: 13, iters: 35400, time: 0.037, data: 0.003) G_GAN: 0.991 G_L1: 5.093 D_real: 0.145 D_fake: 0.205 
(epoch: 13, iters: 35500, time: 0.038, data: 0.010) G_GAN: 0.744 G_L1: 4.503 D_real: 0.026 D_fake: 0.105 
(epoch: 13, iters: 35600, time: 0.038, data: 0.003) G_GAN: 0.735 G_L1: 5.702 D_real: 0.073 D_fake: 0.041 
(epoch: 13, iters: 35700, time: 0.037, data: 0.005) G_GAN: 0.919 G_L1: 4.748 D_real: 0.022 D_fake: 0.043 
(epoch: 13, iters: 35800, time: 0.041, data: 0.007) G_GAN: 0.639 G_L1: 4.258 D_real: 0.074 D_fake: 0.050 
(epoch: 13, iters: 35900, time: 0.036, data: 0.004) G_GAN: 0.625 G_L1: 4.881 D_real: 0.058 D_fake: 0.085 
(epoch: 13, iters: 36000, time: 0.084, data: 0.003) G_GAN: 0.782 G_L1: 6.197 D_real: 0.023 D_fake: 0.076 
(epoch: 13, iters: 36100, time: 0.042, data: 0.003) G_GAN: 0.691 G_L1: 6.563 D_real: 0.095 D_fake: 0.042 
(epoch: 13, iters: 36200, time: 0.040, data: 0.007) G_GAN: 0.793 G_L1: 6.923 D_real: 0.035 D_fake: 0.036 
(epoch: 13, iters: 36300, time: 0.037, data: 0.003) G_GAN: 0.638 G_L1: 5.390 D_real: 0.058 D_fake: 0.112 
(epoch: 13, iters: 36400, time: 0.042, data: 0.003) G_GAN: 0.562 G_L1: 5.286 D_real: 0.021 D_fake: 0.180 
(epoch: 13, iters: 36500, time: 0.040, data: 0.005) G_GAN: 0.642 G_L1: 4.365 D_real: 0.030 D_fake: 0.076 
(epoch: 13, iters: 36600, time: 0.039, data: 0.004) G_GAN: 0.962 G_L1: 5.844 D_real: 0.023 D_fake: 0.073 
(epoch: 13, iters: 36700, time: 0.041, data: 0.005) G_GAN: 0.648 G_L1: 6.213 D_real: 0.113 D_fake: 0.048 
(epoch: 13, iters: 36800, time: 0.042, data: 0.003) G_GAN: 0.632 G_L1: 4.865 D_real: 0.129 D_fake: 0.083 
(epoch: 13, iters: 36900, time: 0.041, data: 0.003) G_GAN: 0.538 G_L1: 6.055 D_real: 0.147 D_fake: 0.120 
(epoch: 13, iters: 37000, time: 0.039, data: 0.003) G_GAN: 0.518 G_L1: 5.465 D_real: 0.287 D_fake: 0.038 
(epoch: 13, iters: 37100, time: 0.040, data: 0.003) G_GAN: 0.588 G_L1: 5.556 D_real: 0.071 D_fake: 0.102 
(epoch: 13, iters: 37200, time: 0.040, data: 0.003) G_GAN: 0.657 G_L1: 6.005 D_real: 0.077 D_fake: 0.038 
(epoch: 13, iters: 37300, time: 0.035, data: 0.004) G_GAN: 0.894 G_L1: 5.531 D_real: 0.064 D_fake: 0.022 
(epoch: 13, iters: 37400, time: 0.040, data: 0.003) G_GAN: 0.849 G_L1: 6.252 D_real: 0.067 D_fake: 0.031 
(epoch: 13, iters: 37500, time: 0.042, data: 0.004) G_GAN: 0.565 G_L1: 5.084 D_real: 0.094 D_fake: 0.080 
(epoch: 13, iters: 37600, time: 0.041, data: 0.009) G_GAN: 0.520 G_L1: 4.943 D_real: 0.082 D_fake: 0.112 
(epoch: 13, iters: 37700, time: 0.037, data: 0.004) G_GAN: 0.526 G_L1: 5.761 D_real: 0.065 D_fake: 0.223 
(epoch: 13, iters: 37800, time: 0.041, data: 0.003) G_GAN: 0.738 G_L1: 4.336 D_real: 0.075 D_fake: 0.030 
(epoch: 13, iters: 37900, time: 0.038, data: 0.004) G_GAN: 0.755 G_L1: 4.533 D_real: 0.025 D_fake: 0.089 
(epoch: 13, iters: 38000, time: 0.086, data: 0.003) G_GAN: 0.739 G_L1: 6.018 D_real: 0.046 D_fake: 0.115 
(epoch: 13, iters: 38100, time: 0.036, data: 0.003) G_GAN: 0.733 G_L1: 6.772 D_real: 0.043 D_fake: 0.180 
(epoch: 13, iters: 38200, time: 0.042, data: 0.010) G_GAN: 0.876 G_L1: 5.802 D_real: 0.025 D_fake: 0.054 
(epoch: 13, iters: 38300, time: 0.039, data: 0.009) G_GAN: 1.054 G_L1: 6.577 D_real: 0.029 D_fake: 0.039 
(epoch: 13, iters: 38400, time: 0.036, data: 0.003) G_GAN: 0.717 G_L1: 5.578 D_real: 0.026 D_fake: 0.124 
(epoch: 13, iters: 38500, time: 0.037, data: 0.004) G_GAN: 0.697 G_L1: 6.609 D_real: 0.111 D_fake: 0.028 
(epoch: 13, iters: 38600, time: 0.041, data: 0.008) G_GAN: 0.713 G_L1: 4.937 D_real: 0.114 D_fake: 0.036 
(epoch: 13, iters: 38700, time: 0.037, data: 0.003) G_GAN: 0.832 G_L1: 6.240 D_real: 0.030 D_fake: 0.121 
(epoch: 13, iters: 38800, time: 0.041, data: 0.004) G_GAN: 0.625 G_L1: 4.601 D_real: 0.110 D_fake: 0.083 
(epoch: 13, iters: 38900, time: 0.041, data: 0.003) G_GAN: 0.644 G_L1: 6.122 D_real: 0.026 D_fake: 0.139 
(epoch: 13, iters: 39000, time: 0.042, data: 0.004) G_GAN: 0.735 G_L1: 5.153 D_real: 0.036 D_fake: 0.049 
saving the latest model (epoch 13, total_iters 615000)
(epoch: 13, iters: 39100, time: 0.039, data: 0.002) G_GAN: 0.619 G_L1: 4.629 D_real: 0.165 D_fake: 0.048 
(epoch: 13, iters: 39200, time: 0.038, data: 0.005) G_GAN: 0.581 G_L1: 5.050 D_real: 0.187 D_fake: 0.052 
(epoch: 13, iters: 39300, time: 0.043, data: 0.004) G_GAN: 0.468 G_L1: 5.498 D_real: 0.199 D_fake: 0.043 
(epoch: 13, iters: 39400, time: 0.041, data: 0.015) G_GAN: 0.338 G_L1: 6.241 D_real: 0.288 D_fake: 0.027 
(epoch: 13, iters: 39500, time: 0.042, data: 0.003) G_GAN: 0.654 G_L1: 5.684 D_real: 0.043 D_fake: 0.104 
(epoch: 13, iters: 39600, time: 0.040, data: 0.004) G_GAN: 0.514 G_L1: 5.676 D_real: 0.185 D_fake: 0.058 
(epoch: 13, iters: 39700, time: 0.035, data: 0.004) G_GAN: 0.631 G_L1: 6.031 D_real: 0.069 D_fake: 0.066 
(epoch: 13, iters: 39800, time: 0.041, data: 0.004) G_GAN: 0.877 G_L1: 5.907 D_real: 0.035 D_fake: 0.082 
(epoch: 13, iters: 39900, time: 0.041, data: 0.008) G_GAN: 0.741 G_L1: 5.960 D_real: 0.178 D_fake: 0.041 
(epoch: 13, iters: 40000, time: 0.080, data: 0.004) G_GAN: 0.691 G_L1: 5.107 D_real: 0.159 D_fake: 0.033 
(epoch: 13, iters: 40100, time: 0.036, data: 0.003) G_GAN: 0.525 G_L1: 5.049 D_real: 0.107 D_fake: 0.084 
(epoch: 13, iters: 40200, time: 0.037, data: 0.018) G_GAN: 0.694 G_L1: 5.569 D_real: 0.043 D_fake: 0.113 
(epoch: 13, iters: 40300, time: 0.038, data: 0.017) G_GAN: 0.732 G_L1: 4.899 D_real: 0.116 D_fake: 0.072 
(epoch: 13, iters: 40400, time: 0.037, data: 0.004) G_GAN: 0.983 G_L1: 4.860 D_real: 0.028 D_fake: 0.114 
(epoch: 13, iters: 40500, time: 0.045, data: 0.003) G_GAN: 0.626 G_L1: 4.977 D_real: 0.201 D_fake: 0.025 
(epoch: 13, iters: 40600, time: 0.048, data: 0.005) G_GAN: 0.586 G_L1: 5.665 D_real: 0.177 D_fake: 0.077 
(epoch: 13, iters: 40700, time: 0.037, data: 0.003) G_GAN: 0.901 G_L1: 4.715 D_real: 0.154 D_fake: 0.037 
(epoch: 13, iters: 40800, time: 0.042, data: 0.004) G_GAN: 0.897 G_L1: 5.005 D_real: 0.069 D_fake: 0.029 
(epoch: 13, iters: 40900, time: 0.037, data: 0.003) G_GAN: 0.639 G_L1: 4.809 D_real: 0.253 D_fake: 0.029 
(epoch: 13, iters: 41000, time: 0.042, data: 0.003) G_GAN: 0.742 G_L1: 5.221 D_real: 0.028 D_fake: 0.098 
(epoch: 13, iters: 41100, time: 0.040, data: 0.003) G_GAN: 0.692 G_L1: 5.527 D_real: 0.136 D_fake: 0.049 
(epoch: 13, iters: 41200, time: 0.036, data: 0.004) G_GAN: 0.775 G_L1: 4.982 D_real: 0.047 D_fake: 0.061 
(epoch: 13, iters: 41300, time: 0.041, data: 0.004) G_GAN: 0.552 G_L1: 6.086 D_real: 0.070 D_fake: 0.063 
(epoch: 13, iters: 41400, time: 0.042, data: 0.014) G_GAN: 0.622 G_L1: 4.292 D_real: 0.072 D_fake: 0.038 
(epoch: 13, iters: 41500, time: 0.043, data: 0.012) G_GAN: 0.746 G_L1: 6.087 D_real: 0.063 D_fake: 0.133 
(epoch: 13, iters: 41600, time: 0.037, data: 0.007) G_GAN: 0.905 G_L1: 5.822 D_real: 0.033 D_fake: 0.096 
(epoch: 13, iters: 41700, time: 0.041, data: 0.005) G_GAN: 0.839 G_L1: 6.581 D_real: 0.092 D_fake: 0.077 
(epoch: 13, iters: 41800, time: 0.038, data: 0.009) G_GAN: 0.550 G_L1: 6.679 D_real: 0.102 D_fake: 0.055 
(epoch: 13, iters: 41900, time: 0.042, data: 0.003) G_GAN: 0.830 G_L1: 5.591 D_real: 0.079 D_fake: 0.102 
(epoch: 13, iters: 42000, time: 0.092, data: 0.003) G_GAN: 0.791 G_L1: 5.316 D_real: 0.027 D_fake: 0.105 
(epoch: 13, iters: 42100, time: 0.037, data: 0.003) G_GAN: 0.982 G_L1: 5.151 D_real: 0.134 D_fake: 0.025 
(epoch: 13, iters: 42200, time: 0.037, data: 0.003) G_GAN: 0.976 G_L1: 4.569 D_real: 0.061 D_fake: 0.031 
(epoch: 13, iters: 42300, time: 0.036, data: 0.004) G_GAN: 0.500 G_L1: 5.032 D_real: 0.107 D_fake: 0.072 
(epoch: 13, iters: 42400, time: 0.042, data: 0.004) G_GAN: 0.769 G_L1: 5.047 D_real: 0.059 D_fake: 0.031 
(epoch: 13, iters: 42500, time: 0.040, data: 0.003) G_GAN: 0.704 G_L1: 4.551 D_real: 0.160 D_fake: 0.031 
(epoch: 13, iters: 42600, time: 0.042, data: 0.005) G_GAN: 0.820 G_L1: 5.848 D_real: 0.060 D_fake: 0.043 
(epoch: 13, iters: 42700, time: 0.040, data: 0.019) G_GAN: 0.863 G_L1: 5.605 D_real: 0.032 D_fake: 0.145 
(epoch: 13, iters: 42800, time: 0.044, data: 0.009) G_GAN: 0.810 G_L1: 4.748 D_real: 0.135 D_fake: 0.051 
(epoch: 13, iters: 42900, time: 0.037, data: 0.005) G_GAN: 0.584 G_L1: 5.564 D_real: 0.053 D_fake: 0.136 
(epoch: 13, iters: 43000, time: 0.037, data: 0.004) G_GAN: 0.811 G_L1: 6.292 D_real: 0.028 D_fake: 0.083 
(epoch: 13, iters: 43100, time: 0.042, data: 0.003) G_GAN: 0.642 G_L1: 5.012 D_real: 0.069 D_fake: 0.058 
(epoch: 13, iters: 43200, time: 0.037, data: 0.003) G_GAN: 0.948 G_L1: 6.395 D_real: 0.050 D_fake: 0.071 
(epoch: 13, iters: 43300, time: 0.038, data: 0.014) G_GAN: 0.730 G_L1: 6.402 D_real: 0.089 D_fake: 0.055 
(epoch: 13, iters: 43400, time: 0.040, data: 0.007) G_GAN: 0.879 G_L1: 5.574 D_real: 0.051 D_fake: 0.104 
(epoch: 13, iters: 43500, time: 0.038, data: 0.003) G_GAN: 0.975 G_L1: 6.049 D_real: 0.028 D_fake: 0.056 
(epoch: 13, iters: 43600, time: 0.040, data: 0.003) G_GAN: 0.836 G_L1: 5.497 D_real: 0.056 D_fake: 0.125 
(epoch: 13, iters: 43700, time: 0.038, data: 0.003) G_GAN: 1.196 G_L1: 6.032 D_real: 0.033 D_fake: 0.047 
(epoch: 13, iters: 43800, time: 0.040, data: 0.004) G_GAN: 0.640 G_L1: 5.197 D_real: 0.247 D_fake: 0.028 
(epoch: 13, iters: 43900, time: 0.038, data: 0.003) G_GAN: 0.435 G_L1: 5.452 D_real: 0.161 D_fake: 0.052 
(epoch: 13, iters: 44000, time: 0.091, data: 0.003) G_GAN: 0.676 G_L1: 6.107 D_real: 0.033 D_fake: 0.170 
saving the latest model (epoch 13, total_iters 620000)
(epoch: 13, iters: 44100, time: 0.043, data: 0.003) G_GAN: 0.652 G_L1: 5.145 D_real: 0.249 D_fake: 0.041 
(epoch: 13, iters: 44200, time: 0.036, data: 0.003) G_GAN: 0.774 G_L1: 4.407 D_real: 0.061 D_fake: 0.039 
(epoch: 13, iters: 44300, time: 0.041, data: 0.005) G_GAN: 0.596 G_L1: 4.950 D_real: 0.162 D_fake: 0.039 
(epoch: 13, iters: 44400, time: 0.038, data: 0.006) G_GAN: 1.062 G_L1: 5.520 D_real: 0.034 D_fake: 0.049 
(epoch: 13, iters: 44500, time: 0.038, data: 0.003) G_GAN: 0.318 G_L1: 5.234 D_real: 0.237 D_fake: 0.057 
(epoch: 13, iters: 44600, time: 0.037, data: 0.015) G_GAN: 0.763 G_L1: 5.019 D_real: 0.056 D_fake: 0.066 
(epoch: 13, iters: 44700, time: 0.042, data: 0.003) G_GAN: 0.776 G_L1: 5.139 D_real: 0.157 D_fake: 0.031 
(epoch: 13, iters: 44800, time: 0.038, data: 0.014) G_GAN: 0.437 G_L1: 5.748 D_real: 0.290 D_fake: 0.041 
(epoch: 13, iters: 44900, time: 0.036, data: 0.016) G_GAN: 0.714 G_L1: 4.953 D_real: 0.059 D_fake: 0.231 
(epoch: 13, iters: 45000, time: 0.037, data: 0.016) G_GAN: 1.128 G_L1: 5.327 D_real: 0.073 D_fake: 0.085 
(epoch: 13, iters: 45100, time: 0.038, data: 0.005) G_GAN: 0.693 G_L1: 5.731 D_real: 0.199 D_fake: 0.088 
(epoch: 13, iters: 45200, time: 0.037, data: 0.004) G_GAN: 0.856 G_L1: 4.604 D_real: 0.041 D_fake: 0.185 
(epoch: 13, iters: 45300, time: 0.039, data: 0.003) G_GAN: 0.433 G_L1: 5.173 D_real: 0.140 D_fake: 0.096 
(epoch: 13, iters: 45400, time: 0.038, data: 0.004) G_GAN: 0.761 G_L1: 6.337 D_real: 0.079 D_fake: 0.032 
(epoch: 13, iters: 45500, time: 0.038, data: 0.003) G_GAN: 0.471 G_L1: 6.112 D_real: 0.350 D_fake: 0.026 
(epoch: 13, iters: 45600, time: 0.039, data: 0.004) G_GAN: 0.530 G_L1: 6.301 D_real: 0.097 D_fake: 0.040 
(epoch: 13, iters: 45700, time: 0.039, data: 0.003) G_GAN: 0.737 G_L1: 5.824 D_real: 0.033 D_fake: 0.126 
(epoch: 13, iters: 45800, time: 0.037, data: 0.003) G_GAN: 0.641 G_L1: 5.034 D_real: 0.087 D_fake: 0.063 
(epoch: 13, iters: 45900, time: 0.043, data: 0.003) G_GAN: 0.747 G_L1: 4.480 D_real: 0.037 D_fake: 0.083 
(epoch: 13, iters: 46000, time: 0.077, data: 0.003) G_GAN: 0.962 G_L1: 5.025 D_real: 0.215 D_fake: 0.479 
(epoch: 13, iters: 46100, time: 0.041, data: 0.003) G_GAN: 0.600 G_L1: 4.750 D_real: 0.219 D_fake: 0.030 
(epoch: 13, iters: 46200, time: 0.039, data: 0.003) G_GAN: 1.375 G_L1: 5.904 D_real: 0.044 D_fake: 0.196 
(epoch: 13, iters: 46300, time: 0.042, data: 0.004) G_GAN: 0.757 G_L1: 4.508 D_real: 0.188 D_fake: 0.040 
(epoch: 13, iters: 46400, time: 0.037, data: 0.010) G_GAN: 0.647 G_L1: 6.352 D_real: 0.057 D_fake: 0.053 
(epoch: 13, iters: 46500, time: 0.038, data: 0.004) G_GAN: 0.886 G_L1: 5.278 D_real: 0.045 D_fake: 0.088 
(epoch: 13, iters: 46600, time: 0.038, data: 0.003) G_GAN: 0.915 G_L1: 4.882 D_real: 0.035 D_fake: 0.078 
(epoch: 13, iters: 46700, time: 0.037, data: 0.023) G_GAN: 0.763 G_L1: 6.532 D_real: 0.117 D_fake: 0.051 
(epoch: 13, iters: 46800, time: 0.037, data: 0.005) G_GAN: 0.978 G_L1: 4.548 D_real: 0.028 D_fake: 0.185 
(epoch: 13, iters: 46900, time: 0.041, data: 0.003) G_GAN: 0.844 G_L1: 5.571 D_real: 0.027 D_fake: 0.196 
(epoch: 13, iters: 47000, time: 0.038, data: 0.003) G_GAN: 0.619 G_L1: 4.588 D_real: 0.134 D_fake: 0.055 
(epoch: 13, iters: 47100, time: 0.041, data: 0.003) G_GAN: 0.589 G_L1: 4.859 D_real: 0.131 D_fake: 0.057 
(epoch: 13, iters: 47200, time: 0.041, data: 0.014) G_GAN: 0.787 G_L1: 4.754 D_real: 0.034 D_fake: 0.107 
(epoch: 13, iters: 47300, time: 0.039, data: 0.009) G_GAN: 0.601 G_L1: 5.058 D_real: 0.207 D_fake: 0.041 
(epoch: 13, iters: 47400, time: 0.043, data: 0.006) G_GAN: 0.810 G_L1: 4.762 D_real: 0.032 D_fake: 0.043 
(epoch: 13, iters: 47500, time: 0.042, data: 0.016) G_GAN: 0.821 G_L1: 5.191 D_real: 0.091 D_fake: 0.033 
(epoch: 13, iters: 47600, time: 0.047, data: 0.008) G_GAN: 1.152 G_L1: 5.982 D_real: 0.058 D_fake: 0.053 
(epoch: 13, iters: 47700, time: 0.038, data: 0.004) G_GAN: 0.786 G_L1: 5.250 D_real: 0.030 D_fake: 0.142 
(epoch: 13, iters: 47800, time: 0.042, data: 0.003) G_GAN: 0.682 G_L1: 5.439 D_real: 0.112 D_fake: 0.122 
(epoch: 13, iters: 47900, time: 0.042, data: 0.011) G_GAN: 0.790 G_L1: 4.652 D_real: 0.311 D_fake: 0.039 
(epoch: 13, iters: 48000, time: 0.069, data: 0.003) G_GAN: 0.738 G_L1: 5.598 D_real: 0.052 D_fake: 0.160 
End of epoch 13 / 20 	 Time Taken: 1249 sec
learning rate 0.0001273 -> 0.0001091
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
(epoch: 14, iters: 100, time: 0.040, data: 0.490) G_GAN: 0.646 G_L1: 6.125 D_real: 0.036 D_fake: 0.060 
(epoch: 14, iters: 200, time: 0.041, data: 0.003) G_GAN: 0.584 G_L1: 5.201 D_real: 0.032 D_fake: 0.197 
(epoch: 14, iters: 300, time: 0.040, data: 0.010) G_GAN: 0.707 G_L1: 5.327 D_real: 0.037 D_fake: 0.102 
(epoch: 14, iters: 400, time: 0.067, data: 0.003) G_GAN: 0.660 G_L1: 6.149 D_real: 0.090 D_fake: 0.094 
(epoch: 14, iters: 500, time: 0.039, data: 0.003) G_GAN: 0.643 G_L1: 5.203 D_real: 0.056 D_fake: 0.055 
(epoch: 14, iters: 600, time: 0.039, data: 0.003) G_GAN: 0.884 G_L1: 5.551 D_real: 0.029 D_fake: 0.213 
(epoch: 14, iters: 700, time: 0.039, data: 0.005) G_GAN: 0.875 G_L1: 5.660 D_real: 0.086 D_fake: 0.035 
(epoch: 14, iters: 800, time: 0.039, data: 0.004) G_GAN: 0.722 G_L1: 5.944 D_real: 0.125 D_fake: 0.032 
(epoch: 14, iters: 900, time: 0.041, data: 0.004) G_GAN: 0.771 G_L1: 6.128 D_real: 0.091 D_fake: 0.052 
(epoch: 14, iters: 1000, time: 0.042, data: 0.010) G_GAN: 0.421 G_L1: 5.640 D_real: 0.115 D_fake: 0.091 
saving the latest model (epoch 14, total_iters 625000)
(epoch: 14, iters: 1100, time: 0.041, data: 0.003) G_GAN: 0.771 G_L1: 6.054 D_real: 0.084 D_fake: 0.039 
(epoch: 14, iters: 1200, time: 0.036, data: 0.010) G_GAN: 0.604 G_L1: 6.461 D_real: 0.134 D_fake: 0.050 
(epoch: 14, iters: 1300, time: 0.043, data: 0.010) G_GAN: 0.729 G_L1: 5.035 D_real: 0.056 D_fake: 0.068 
(epoch: 14, iters: 1400, time: 0.038, data: 0.005) G_GAN: 0.810 G_L1: 4.717 D_real: 0.052 D_fake: 0.069 
(epoch: 14, iters: 1500, time: 0.041, data: 0.011) G_GAN: 0.704 G_L1: 5.148 D_real: 0.041 D_fake: 0.120 
(epoch: 14, iters: 1600, time: 0.037, data: 0.004) G_GAN: 0.776 G_L1: 5.887 D_real: 0.077 D_fake: 0.074 
(epoch: 14, iters: 1700, time: 0.038, data: 0.004) G_GAN: 0.741 G_L1: 5.464 D_real: 0.071 D_fake: 0.111 
(epoch: 14, iters: 1800, time: 0.033, data: 0.003) G_GAN: 0.931 G_L1: 4.193 D_real: 0.039 D_fake: 0.076 
(epoch: 14, iters: 1900, time: 0.041, data: 0.010) G_GAN: 0.849 G_L1: 5.333 D_real: 0.053 D_fake: 0.053 
(epoch: 14, iters: 2000, time: 0.095, data: 0.004) G_GAN: 0.880 G_L1: 5.344 D_real: 0.053 D_fake: 0.059 
(epoch: 14, iters: 2100, time: 0.040, data: 0.002) G_GAN: 0.769 G_L1: 5.718 D_real: 0.209 D_fake: 0.027 
(epoch: 14, iters: 2200, time: 0.039, data: 0.013) G_GAN: 0.684 G_L1: 5.336 D_real: 0.112 D_fake: 0.079 
(epoch: 14, iters: 2300, time: 0.039, data: 0.004) G_GAN: 0.514 G_L1: 6.624 D_real: 0.102 D_fake: 0.035 
(epoch: 14, iters: 2400, time: 0.036, data: 0.004) G_GAN: 0.793 G_L1: 6.478 D_real: 0.040 D_fake: 0.130 
(epoch: 14, iters: 2500, time: 0.037, data: 0.003) G_GAN: 1.082 G_L1: 5.351 D_real: 0.032 D_fake: 0.110 
(epoch: 14, iters: 2600, time: 0.043, data: 0.003) G_GAN: 1.770 G_L1: 6.551 D_real: 0.120 D_fake: 0.080 
(epoch: 14, iters: 2700, time: 0.035, data: 0.010) G_GAN: 1.198 G_L1: 6.000 D_real: 0.044 D_fake: 0.061 
(epoch: 14, iters: 2800, time: 0.040, data: 0.003) G_GAN: 0.770 G_L1: 5.647 D_real: 0.077 D_fake: 0.077 
(epoch: 14, iters: 2900, time: 0.041, data: 0.017) G_GAN: 0.874 G_L1: 4.598 D_real: 0.062 D_fake: 0.036 
(epoch: 14, iters: 3000, time: 0.039, data: 0.004) G_GAN: 0.786 G_L1: 4.480 D_real: 0.063 D_fake: 0.064 
(epoch: 14, iters: 3100, time: 0.041, data: 0.008) G_GAN: 0.673 G_L1: 5.321 D_real: 0.047 D_fake: 0.127 
(epoch: 14, iters: 3200, time: 0.037, data: 0.004) G_GAN: 0.628 G_L1: 4.873 D_real: 0.100 D_fake: 0.098 
(epoch: 14, iters: 3300, time: 0.040, data: 0.005) G_GAN: 0.949 G_L1: 5.773 D_real: 0.093 D_fake: 0.035 
(epoch: 14, iters: 3400, time: 0.041, data: 0.005) G_GAN: 0.817 G_L1: 6.593 D_real: 0.029 D_fake: 0.222 
(epoch: 14, iters: 3500, time: 0.044, data: 0.011) G_GAN: 0.582 G_L1: 4.836 D_real: 0.093 D_fake: 0.066 
(epoch: 14, iters: 3600, time: 0.036, data: 0.003) G_GAN: 0.685 G_L1: 4.727 D_real: 0.044 D_fake: 0.086 
(epoch: 14, iters: 3700, time: 0.039, data: 0.003) G_GAN: 0.548 G_L1: 4.476 D_real: 0.217 D_fake: 0.050 
(epoch: 14, iters: 3800, time: 0.036, data: 0.003) G_GAN: 0.748 G_L1: 4.941 D_real: 0.061 D_fake: 0.094 
(epoch: 14, iters: 3900, time: 0.041, data: 0.005) G_GAN: 0.652 G_L1: 6.047 D_real: 0.066 D_fake: 0.219 
(epoch: 14, iters: 4000, time: 0.084, data: 0.009) G_GAN: 0.721 G_L1: 5.052 D_real: 0.098 D_fake: 0.041 
(epoch: 14, iters: 4100, time: 0.040, data: 0.003) G_GAN: 0.696 G_L1: 4.757 D_real: 0.124 D_fake: 0.035 
(epoch: 14, iters: 4200, time: 0.035, data: 0.008) G_GAN: 0.766 G_L1: 6.146 D_real: 0.073 D_fake: 0.045 
(epoch: 14, iters: 4300, time: 0.037, data: 0.003) G_GAN: 0.902 G_L1: 4.986 D_real: 0.033 D_fake: 0.046 
(epoch: 14, iters: 4400, time: 0.040, data: 0.004) G_GAN: 0.768 G_L1: 5.262 D_real: 0.113 D_fake: 0.035 
(epoch: 14, iters: 4500, time: 0.038, data: 0.003) G_GAN: 0.638 G_L1: 5.685 D_real: 0.096 D_fake: 0.039 
(epoch: 14, iters: 4600, time: 0.040, data: 0.004) G_GAN: 0.671 G_L1: 5.103 D_real: 0.096 D_fake: 0.051 
(epoch: 14, iters: 4700, time: 0.038, data: 0.004) G_GAN: 0.864 G_L1: 5.926 D_real: 0.031 D_fake: 0.224 
(epoch: 14, iters: 4800, time: 0.040, data: 0.007) G_GAN: 0.692 G_L1: 5.594 D_real: 0.121 D_fake: 0.036 
(epoch: 14, iters: 4900, time: 0.038, data: 0.013) G_GAN: 0.665 G_L1: 6.278 D_real: 0.118 D_fake: 0.075 
(epoch: 14, iters: 5000, time: 0.038, data: 0.003) G_GAN: 0.519 G_L1: 6.369 D_real: 0.146 D_fake: 0.119 
(epoch: 14, iters: 5100, time: 0.039, data: 0.004) G_GAN: 0.826 G_L1: 5.566 D_real: 0.060 D_fake: 0.163 
(epoch: 14, iters: 5200, time: 0.037, data: 0.004) G_GAN: 0.628 G_L1: 4.309 D_real: 0.205 D_fake: 0.061 
(epoch: 14, iters: 5300, time: 0.042, data: 0.004) G_GAN: 0.678 G_L1: 5.146 D_real: 0.151 D_fake: 0.033 
(epoch: 14, iters: 5400, time: 0.038, data: 0.004) G_GAN: 0.542 G_L1: 5.568 D_real: 0.082 D_fake: 0.182 
(epoch: 14, iters: 5500, time: 0.043, data: 0.003) G_GAN: 0.651 G_L1: 4.409 D_real: 0.144 D_fake: 0.040 
(epoch: 14, iters: 5600, time: 0.042, data: 0.003) G_GAN: 0.632 G_L1: 4.292 D_real: 0.160 D_fake: 0.024 
(epoch: 14, iters: 5700, time: 0.043, data: 0.003) G_GAN: 0.746 G_L1: 5.303 D_real: 0.045 D_fake: 0.050 
(epoch: 14, iters: 5800, time: 0.039, data: 0.003) G_GAN: 1.041 G_L1: 5.316 D_real: 0.056 D_fake: 0.293 
(epoch: 14, iters: 5900, time: 0.039, data: 0.003) G_GAN: 0.606 G_L1: 4.573 D_real: 0.257 D_fake: 0.033 
(epoch: 14, iters: 6000, time: 0.087, data: 0.003) G_GAN: 0.696 G_L1: 6.386 D_real: 0.105 D_fake: 0.051 
saving the latest model (epoch 14, total_iters 630000)
(epoch: 14, iters: 6100, time: 0.037, data: 0.003) G_GAN: 0.551 G_L1: 5.287 D_real: 0.148 D_fake: 0.066 
(epoch: 14, iters: 6200, time: 0.041, data: 0.004) G_GAN: 0.777 G_L1: 6.092 D_real: 0.133 D_fake: 0.083 
(epoch: 14, iters: 6300, time: 0.036, data: 0.003) G_GAN: 0.773 G_L1: 4.702 D_real: 0.051 D_fake: 0.063 
(epoch: 14, iters: 6400, time: 0.038, data: 0.003) G_GAN: 0.577 G_L1: 5.621 D_real: 0.123 D_fake: 0.064 
(epoch: 14, iters: 6500, time: 0.038, data: 0.015) G_GAN: 0.767 G_L1: 5.497 D_real: 0.082 D_fake: 0.034 
(epoch: 14, iters: 6600, time: 0.045, data: 0.002) G_GAN: 0.827 G_L1: 6.275 D_real: 0.112 D_fake: 0.054 
(epoch: 14, iters: 6700, time: 0.042, data: 0.003) G_GAN: 0.744 G_L1: 4.336 D_real: 0.059 D_fake: 0.051 
(epoch: 14, iters: 6800, time: 0.040, data: 0.004) G_GAN: 0.737 G_L1: 4.981 D_real: 0.158 D_fake: 0.046 
(epoch: 14, iters: 6900, time: 0.036, data: 0.009) G_GAN: 0.895 G_L1: 5.198 D_real: 0.207 D_fake: 0.029 
(epoch: 14, iters: 7000, time: 0.037, data: 0.005) G_GAN: 0.611 G_L1: 5.329 D_real: 0.084 D_fake: 0.069 
(epoch: 14, iters: 7100, time: 0.038, data: 0.003) G_GAN: 1.110 G_L1: 4.677 D_real: 0.076 D_fake: 0.354 
(epoch: 14, iters: 7200, time: 0.035, data: 0.005) G_GAN: 0.864 G_L1: 6.303 D_real: 0.033 D_fake: 0.150 
(epoch: 14, iters: 7300, time: 0.040, data: 0.006) G_GAN: 0.689 G_L1: 5.989 D_real: 0.134 D_fake: 0.097 
(epoch: 14, iters: 7400, time: 0.036, data: 0.010) G_GAN: 0.652 G_L1: 5.150 D_real: 0.082 D_fake: 0.033 
(epoch: 14, iters: 7500, time: 0.037, data: 0.005) G_GAN: 0.670 G_L1: 5.168 D_real: 0.108 D_fake: 0.076 
(epoch: 14, iters: 7600, time: 0.043, data: 0.003) G_GAN: 0.709 G_L1: 4.519 D_real: 0.123 D_fake: 0.041 
(epoch: 14, iters: 7700, time: 0.038, data: 0.002) G_GAN: 0.568 G_L1: 5.616 D_real: 0.047 D_fake: 0.085 
(epoch: 14, iters: 7800, time: 0.040, data: 0.003) G_GAN: 1.049 G_L1: 6.030 D_real: 0.032 D_fake: 0.046 
(epoch: 14, iters: 7900, time: 0.036, data: 0.003) G_GAN: 0.556 G_L1: 4.939 D_real: 0.098 D_fake: 0.092 
(epoch: 14, iters: 8000, time: 0.082, data: 0.005) G_GAN: 0.918 G_L1: 4.641 D_real: 0.071 D_fake: 0.041 
(epoch: 14, iters: 8100, time: 0.038, data: 0.003) G_GAN: 0.754 G_L1: 5.478 D_real: 0.082 D_fake: 0.079 
(epoch: 14, iters: 8200, time: 0.038, data: 0.012) G_GAN: 0.799 G_L1: 5.404 D_real: 0.044 D_fake: 0.070 
(epoch: 14, iters: 8300, time: 0.041, data: 0.013) G_GAN: 0.789 G_L1: 5.322 D_real: 0.084 D_fake: 0.034 
(epoch: 14, iters: 8400, time: 0.038, data: 0.003) G_GAN: 0.828 G_L1: 5.831 D_real: 0.030 D_fake: 0.137 
(epoch: 14, iters: 8500, time: 0.038, data: 0.013) G_GAN: 0.812 G_L1: 5.433 D_real: 0.055 D_fake: 0.086 
(epoch: 14, iters: 8600, time: 0.039, data: 0.003) G_GAN: 0.950 G_L1: 5.244 D_real: 0.045 D_fake: 0.058 
(epoch: 14, iters: 8700, time: 0.041, data: 0.004) G_GAN: 1.101 G_L1: 4.737 D_real: 0.042 D_fake: 0.056 
(epoch: 14, iters: 8800, time: 0.038, data: 0.008) G_GAN: 0.616 G_L1: 4.653 D_real: 0.116 D_fake: 0.039 
(epoch: 14, iters: 8900, time: 0.041, data: 0.003) G_GAN: 0.683 G_L1: 4.994 D_real: 0.113 D_fake: 0.068 
(epoch: 14, iters: 9000, time: 0.040, data: 0.004) G_GAN: 0.849 G_L1: 5.284 D_real: 0.071 D_fake: 0.032 
(epoch: 14, iters: 9100, time: 0.038, data: 0.003) G_GAN: 0.900 G_L1: 5.169 D_real: 0.029 D_fake: 0.105 
(epoch: 14, iters: 9200, time: 0.037, data: 0.003) G_GAN: 0.769 G_L1: 4.991 D_real: 0.155 D_fake: 0.044 
(epoch: 14, iters: 9300, time: 0.037, data: 0.004) G_GAN: 0.780 G_L1: 4.906 D_real: 0.089 D_fake: 0.072 
(epoch: 14, iters: 9400, time: 0.036, data: 0.003) G_GAN: 0.730 G_L1: 4.587 D_real: 0.046 D_fake: 0.092 
(epoch: 14, iters: 9500, time: 0.038, data: 0.003) G_GAN: 0.805 G_L1: 6.807 D_real: 0.085 D_fake: 0.082 
(epoch: 14, iters: 9600, time: 0.036, data: 0.008) G_GAN: 0.605 G_L1: 5.356 D_real: 0.050 D_fake: 0.054 
(epoch: 14, iters: 9700, time: 0.037, data: 0.016) G_GAN: 0.956 G_L1: 4.884 D_real: 0.086 D_fake: 0.034 
(epoch: 14, iters: 9800, time: 0.042, data: 0.004) G_GAN: 0.505 G_L1: 4.774 D_real: 0.187 D_fake: 0.034 
(epoch: 14, iters: 9900, time: 0.042, data: 0.003) G_GAN: 0.949 G_L1: 5.699 D_real: 0.042 D_fake: 0.069 
(epoch: 14, iters: 10000, time: 0.089, data: 0.003) G_GAN: 0.670 G_L1: 5.945 D_real: 0.086 D_fake: 0.090 
(epoch: 14, iters: 10100, time: 0.042, data: 0.007) G_GAN: 0.664 G_L1: 6.246 D_real: 0.214 D_fake: 0.037 
(epoch: 14, iters: 10200, time: 0.041, data: 0.003) G_GAN: 0.894 G_L1: 4.496 D_real: 0.076 D_fake: 0.032 
(epoch: 14, iters: 10300, time: 0.038, data: 0.003) G_GAN: 0.998 G_L1: 5.411 D_real: 0.029 D_fake: 0.047 
(epoch: 14, iters: 10400, time: 0.040, data: 0.005) G_GAN: 0.838 G_L1: 5.441 D_real: 0.035 D_fake: 0.324 
(epoch: 14, iters: 10500, time: 0.038, data: 0.004) G_GAN: 0.570 G_L1: 5.211 D_real: 0.081 D_fake: 0.052 
(epoch: 14, iters: 10600, time: 0.037, data: 0.003) G_GAN: 0.725 G_L1: 5.482 D_real: 0.114 D_fake: 0.037 
(epoch: 14, iters: 10700, time: 0.042, data: 0.004) G_GAN: 0.796 G_L1: 4.065 D_real: 0.102 D_fake: 0.034 
(epoch: 14, iters: 10800, time: 0.040, data: 0.007) G_GAN: 0.866 G_L1: 5.067 D_real: 0.035 D_fake: 0.089 
(epoch: 14, iters: 10900, time: 0.034, data: 0.003) G_GAN: 0.883 G_L1: 6.027 D_real: 0.035 D_fake: 0.029 
(epoch: 14, iters: 11000, time: 0.040, data: 0.010) G_GAN: 1.007 G_L1: 5.439 D_real: 0.033 D_fake: 0.037 
saving the latest model (epoch 14, total_iters 635000)
(epoch: 14, iters: 11100, time: 0.032, data: 0.003) G_GAN: 0.998 G_L1: 5.323 D_real: 0.043 D_fake: 0.094 
(epoch: 14, iters: 11200, time: 0.036, data: 0.002) G_GAN: 0.828 G_L1: 8.070 D_real: 0.049 D_fake: 0.056 
(epoch: 14, iters: 11300, time: 0.043, data: 0.007) G_GAN: 0.603 G_L1: 6.072 D_real: 0.133 D_fake: 0.047 
(epoch: 14, iters: 11400, time: 0.041, data: 0.003) G_GAN: 0.804 G_L1: 4.385 D_real: 0.065 D_fake: 0.041 
(epoch: 14, iters: 11500, time: 0.037, data: 0.003) G_GAN: 1.043 G_L1: 4.737 D_real: 0.066 D_fake: 0.058 
(epoch: 14, iters: 11600, time: 0.042, data: 0.003) G_GAN: 0.940 G_L1: 5.244 D_real: 0.082 D_fake: 0.066 
(epoch: 14, iters: 11700, time: 0.041, data: 0.003) G_GAN: 0.696 G_L1: 4.977 D_real: 0.089 D_fake: 0.040 
(epoch: 14, iters: 11800, time: 0.040, data: 0.003) G_GAN: 0.684 G_L1: 6.949 D_real: 0.084 D_fake: 0.044 
(epoch: 14, iters: 11900, time: 0.040, data: 0.006) G_GAN: 0.822 G_L1: 5.362 D_real: 0.103 D_fake: 0.050 
(epoch: 14, iters: 12000, time: 0.082, data: 0.003) G_GAN: 0.782 G_L1: 4.804 D_real: 0.031 D_fake: 0.084 
(epoch: 14, iters: 12100, time: 0.039, data: 0.003) G_GAN: 0.680 G_L1: 5.088 D_real: 0.125 D_fake: 0.040 
(epoch: 14, iters: 12200, time: 0.042, data: 0.003) G_GAN: 0.919 G_L1: 5.483 D_real: 0.044 D_fake: 0.120 
(epoch: 14, iters: 12300, time: 0.039, data: 0.004) G_GAN: 0.634 G_L1: 6.311 D_real: 0.206 D_fake: 0.035 
(epoch: 14, iters: 12400, time: 0.037, data: 0.003) G_GAN: 0.785 G_L1: 5.171 D_real: 0.071 D_fake: 0.062 
(epoch: 14, iters: 12500, time: 0.039, data: 0.003) G_GAN: 0.807 G_L1: 4.985 D_real: 0.069 D_fake: 0.054 
(epoch: 14, iters: 12600, time: 0.041, data: 0.004) G_GAN: 0.913 G_L1: 4.832 D_real: 0.045 D_fake: 0.065 
(epoch: 14, iters: 12700, time: 0.040, data: 0.003) G_GAN: 0.864 G_L1: 4.374 D_real: 0.066 D_fake: 0.066 
(epoch: 14, iters: 12800, time: 0.042, data: 0.003) G_GAN: 1.064 G_L1: 5.847 D_real: 0.032 D_fake: 0.060 
(epoch: 14, iters: 12900, time: 0.037, data: 0.003) G_GAN: 0.898 G_L1: 5.068 D_real: 0.094 D_fake: 0.038 
(epoch: 14, iters: 13000, time: 0.038, data: 0.004) G_GAN: 0.795 G_L1: 6.080 D_real: 0.176 D_fake: 0.045 
(epoch: 14, iters: 13100, time: 0.043, data: 0.012) G_GAN: 0.771 G_L1: 4.823 D_real: 0.056 D_fake: 0.042 
(epoch: 14, iters: 13200, time: 0.040, data: 0.003) G_GAN: 0.994 G_L1: 4.398 D_real: 0.059 D_fake: 0.037 
(epoch: 14, iters: 13300, time: 0.045, data: 0.004) G_GAN: 0.993 G_L1: 6.141 D_real: 0.043 D_fake: 0.041 
(epoch: 14, iters: 13400, time: 0.035, data: 0.004) G_GAN: 1.259 G_L1: 6.318 D_real: 0.038 D_fake: 0.035 
(epoch: 14, iters: 13500, time: 0.039, data: 0.007) G_GAN: 0.769 G_L1: 5.613 D_real: 0.055 D_fake: 0.085 
(epoch: 14, iters: 13600, time: 0.038, data: 0.004) G_GAN: 0.948 G_L1: 6.352 D_real: 0.031 D_fake: 0.145 
(epoch: 14, iters: 13700, time: 0.041, data: 0.009) G_GAN: 0.706 G_L1: 6.762 D_real: 0.081 D_fake: 0.051 
(epoch: 14, iters: 13800, time: 0.035, data: 0.017) G_GAN: 0.797 G_L1: 4.996 D_real: 0.036 D_fake: 0.159 
(epoch: 14, iters: 13900, time: 0.038, data: 0.003) G_GAN: 0.888 G_L1: 4.870 D_real: 0.059 D_fake: 0.086 
(epoch: 14, iters: 14000, time: 0.068, data: 0.005) G_GAN: 0.971 G_L1: 5.194 D_real: 0.038 D_fake: 0.203 
(epoch: 14, iters: 14100, time: 0.038, data: 0.003) G_GAN: 0.918 G_L1: 5.233 D_real: 0.032 D_fake: 0.056 
(epoch: 14, iters: 14200, time: 0.039, data: 0.004) G_GAN: 0.617 G_L1: 5.818 D_real: 0.109 D_fake: 0.046 
(epoch: 14, iters: 14300, time: 0.045, data: 0.003) G_GAN: 0.791 G_L1: 5.455 D_real: 0.059 D_fake: 0.073 
(epoch: 14, iters: 14400, time: 0.041, data: 0.002) G_GAN: 0.635 G_L1: 6.192 D_real: 0.084 D_fake: 0.088 
(epoch: 14, iters: 14500, time: 0.041, data: 0.004) G_GAN: 0.855 G_L1: 5.328 D_real: 0.037 D_fake: 0.039 
(epoch: 14, iters: 14600, time: 0.044, data: 0.003) G_GAN: 0.443 G_L1: 6.367 D_real: 0.266 D_fake: 0.049 
(epoch: 14, iters: 14700, time: 0.040, data: 0.003) G_GAN: 1.053 G_L1: 4.695 D_real: 0.064 D_fake: 0.027 
(epoch: 14, iters: 14800, time: 0.039, data: 0.003) G_GAN: 0.895 G_L1: 6.090 D_real: 0.032 D_fake: 0.042 
(epoch: 14, iters: 14900, time: 0.040, data: 0.002) G_GAN: 0.890 G_L1: 4.834 D_real: 0.055 D_fake: 0.029 
(epoch: 14, iters: 15000, time: 0.036, data: 0.003) G_GAN: 1.019 G_L1: 4.911 D_real: 0.031 D_fake: 0.068 
(epoch: 14, iters: 15100, time: 0.039, data: 0.003) G_GAN: 0.856 G_L1: 6.185 D_real: 0.073 D_fake: 0.033 
(epoch: 14, iters: 15200, time: 0.040, data: 0.003) G_GAN: 0.536 G_L1: 4.689 D_real: 0.120 D_fake: 0.068 
(epoch: 14, iters: 15300, time: 0.043, data: 0.010) G_GAN: 0.754 G_L1: 5.030 D_real: 0.035 D_fake: 0.130 
(epoch: 14, iters: 15400, time: 0.040, data: 0.014) G_GAN: 0.819 G_L1: 4.701 D_real: 0.064 D_fake: 0.039 
(epoch: 14, iters: 15500, time: 0.040, data: 0.004) G_GAN: 0.682 G_L1: 5.049 D_real: 0.153 D_fake: 0.027 
(epoch: 14, iters: 15600, time: 0.037, data: 0.003) G_GAN: 1.155 G_L1: 6.397 D_real: 0.040 D_fake: 0.081 
(epoch: 14, iters: 15700, time: 0.039, data: 0.009) G_GAN: 0.728 G_L1: 6.638 D_real: 0.067 D_fake: 0.141 
(epoch: 14, iters: 15800, time: 0.040, data: 0.012) G_GAN: 0.759 G_L1: 4.844 D_real: 0.059 D_fake: 0.078 
(epoch: 14, iters: 15900, time: 0.036, data: 0.003) G_GAN: 0.474 G_L1: 4.641 D_real: 0.197 D_fake: 0.032 
(epoch: 14, iters: 16000, time: 0.073, data: 0.003) G_GAN: 1.052 G_L1: 5.830 D_real: 0.041 D_fake: 0.086 
saving the latest model (epoch 14, total_iters 640000)
(epoch: 14, iters: 16100, time: 0.042, data: 0.003) G_GAN: 0.684 G_L1: 4.441 D_real: 0.115 D_fake: 0.063 
(epoch: 14, iters: 16200, time: 0.042, data: 0.008) G_GAN: 0.758 G_L1: 4.594 D_real: 0.051 D_fake: 0.091 
(epoch: 14, iters: 16300, time: 0.037, data: 0.006) G_GAN: 0.762 G_L1: 4.875 D_real: 0.036 D_fake: 0.128 
(epoch: 14, iters: 16400, time: 0.039, data: 0.003) G_GAN: 1.021 G_L1: 5.664 D_real: 0.048 D_fake: 0.038 
(epoch: 14, iters: 16500, time: 0.040, data: 0.004) G_GAN: 0.826 G_L1: 5.120 D_real: 0.038 D_fake: 0.042 
(epoch: 14, iters: 16600, time: 0.041, data: 0.007) G_GAN: 0.700 G_L1: 5.467 D_real: 0.101 D_fake: 0.115 
(epoch: 14, iters: 16700, time: 0.040, data: 0.003) G_GAN: 0.825 G_L1: 5.925 D_real: 0.446 D_fake: 0.171 
(epoch: 14, iters: 16800, time: 0.037, data: 0.016) G_GAN: 0.524 G_L1: 5.053 D_real: 0.436 D_fake: 0.030 
(epoch: 14, iters: 16900, time: 0.040, data: 0.003) G_GAN: 0.703 G_L1: 5.752 D_real: 0.117 D_fake: 0.050 
(epoch: 14, iters: 17000, time: 0.039, data: 0.003) G_GAN: 0.854 G_L1: 5.584 D_real: 0.056 D_fake: 0.040 
(epoch: 14, iters: 17100, time: 0.040, data: 0.004) G_GAN: 0.790 G_L1: 5.899 D_real: 0.107 D_fake: 0.080 
(epoch: 14, iters: 17200, time: 0.041, data: 0.004) G_GAN: 0.738 G_L1: 5.839 D_real: 0.094 D_fake: 0.096 
(epoch: 14, iters: 17300, time: 0.044, data: 0.003) G_GAN: 0.692 G_L1: 5.042 D_real: 0.112 D_fake: 0.060 
(epoch: 14, iters: 17400, time: 0.037, data: 0.008) G_GAN: 0.608 G_L1: 5.389 D_real: 0.187 D_fake: 0.047 
(epoch: 14, iters: 17500, time: 0.043, data: 0.003) G_GAN: 0.852 G_L1: 5.712 D_real: 0.103 D_fake: 0.058 
(epoch: 14, iters: 17600, time: 0.040, data: 0.003) G_GAN: 0.700 G_L1: 5.483 D_real: 0.063 D_fake: 0.138 
(epoch: 14, iters: 17700, time: 0.043, data: 0.003) G_GAN: 0.676 G_L1: 6.532 D_real: 0.055 D_fake: 0.071 
(epoch: 14, iters: 17800, time: 0.037, data: 0.004) G_GAN: 0.955 G_L1: 4.662 D_real: 0.033 D_fake: 0.080 
(epoch: 14, iters: 17900, time: 0.038, data: 0.003) G_GAN: 0.535 G_L1: 5.724 D_real: 0.232 D_fake: 0.048 
(epoch: 14, iters: 18000, time: 0.079, data: 0.002) G_GAN: 0.586 G_L1: 5.593 D_real: 0.149 D_fake: 0.045 
(epoch: 14, iters: 18100, time: 0.037, data: 0.003) G_GAN: 0.933 G_L1: 6.498 D_real: 0.048 D_fake: 0.139 
(epoch: 14, iters: 18200, time: 0.039, data: 0.004) G_GAN: 0.776 G_L1: 4.922 D_real: 0.077 D_fake: 0.044 
(epoch: 14, iters: 18300, time: 0.040, data: 0.003) G_GAN: 0.700 G_L1: 6.066 D_real: 0.109 D_fake: 0.040 
(epoch: 14, iters: 18400, time: 0.035, data: 0.003) G_GAN: 1.063 G_L1: 5.488 D_real: 0.046 D_fake: 0.032 
(epoch: 14, iters: 18500, time: 0.040, data: 0.011) G_GAN: 1.219 G_L1: 4.521 D_real: 0.038 D_fake: 0.041 
(epoch: 14, iters: 18600, time: 0.039, data: 0.003) G_GAN: 0.729 G_L1: 6.537 D_real: 0.145 D_fake: 0.037 
(epoch: 14, iters: 18700, time: 0.037, data: 0.004) G_GAN: 0.885 G_L1: 5.147 D_real: 0.046 D_fake: 0.029 
(epoch: 14, iters: 18800, time: 0.042, data: 0.003) G_GAN: 0.841 G_L1: 5.253 D_real: 0.056 D_fake: 0.050 
(epoch: 14, iters: 18900, time: 0.038, data: 0.003) G_GAN: 0.795 G_L1: 4.979 D_real: 0.069 D_fake: 0.033 
(epoch: 14, iters: 19000, time: 0.043, data: 0.005) G_GAN: 0.858 G_L1: 5.225 D_real: 0.123 D_fake: 0.032 
(epoch: 14, iters: 19100, time: 0.036, data: 0.004) G_GAN: 0.942 G_L1: 5.660 D_real: 0.071 D_fake: 0.039 
(epoch: 14, iters: 19200, time: 0.042, data: 0.003) G_GAN: 0.596 G_L1: 5.626 D_real: 0.050 D_fake: 0.182 
(epoch: 14, iters: 19300, time: 0.041, data: 0.004) G_GAN: 0.839 G_L1: 5.549 D_real: 0.052 D_fake: 0.052 
(epoch: 14, iters: 19400, time: 0.036, data: 0.003) G_GAN: 0.642 G_L1: 4.524 D_real: 0.219 D_fake: 0.037 
(epoch: 14, iters: 19500, time: 0.037, data: 0.004) G_GAN: 0.800 G_L1: 6.315 D_real: 0.078 D_fake: 0.050 
(epoch: 14, iters: 19600, time: 0.038, data: 0.004) G_GAN: 0.972 G_L1: 5.322 D_real: 0.038 D_fake: 0.045 
(epoch: 14, iters: 19700, time: 0.042, data: 0.004) G_GAN: 0.971 G_L1: 4.300 D_real: 0.029 D_fake: 0.109 
(epoch: 14, iters: 19800, time: 0.043, data: 0.003) G_GAN: 0.458 G_L1: 6.035 D_real: 0.187 D_fake: 0.034 
(epoch: 14, iters: 19900, time: 0.040, data: 0.005) G_GAN: 0.714 G_L1: 5.331 D_real: 0.130 D_fake: 0.064 
(epoch: 14, iters: 20000, time: 0.091, data: 0.003) G_GAN: 0.627 G_L1: 6.285 D_real: 0.098 D_fake: 0.059 
(epoch: 14, iters: 20100, time: 0.037, data: 0.003) G_GAN: 0.728 G_L1: 5.128 D_real: 0.085 D_fake: 0.034 
(epoch: 14, iters: 20200, time: 0.037, data: 0.013) G_GAN: 0.893 G_L1: 4.798 D_real: 0.046 D_fake: 0.052 
(epoch: 14, iters: 20300, time: 0.041, data: 0.003) G_GAN: 0.835 G_L1: 5.855 D_real: 0.033 D_fake: 0.080 
(epoch: 14, iters: 20400, time: 0.044, data: 0.003) G_GAN: 1.433 G_L1: 5.815 D_real: 0.061 D_fake: 0.227 
(epoch: 14, iters: 20500, time: 0.041, data: 0.003) G_GAN: 0.600 G_L1: 5.158 D_real: 0.138 D_fake: 0.096 
(epoch: 14, iters: 20600, time: 0.040, data: 0.004) G_GAN: 0.876 G_L1: 6.311 D_real: 0.040 D_fake: 0.063 
(epoch: 14, iters: 20700, time: 0.039, data: 0.003) G_GAN: 0.834 G_L1: 5.398 D_real: 0.068 D_fake: 0.068 
(epoch: 14, iters: 20800, time: 0.038, data: 0.005) G_GAN: 0.522 G_L1: 5.465 D_real: 0.383 D_fake: 0.050 
(epoch: 14, iters: 20900, time: 0.034, data: 0.003) G_GAN: 0.722 G_L1: 5.727 D_real: 0.102 D_fake: 0.064 
(epoch: 14, iters: 21000, time: 0.042, data: 0.003) G_GAN: 0.558 G_L1: 5.266 D_real: 0.104 D_fake: 0.049 
saving the latest model (epoch 14, total_iters 645000)
(epoch: 14, iters: 21100, time: 0.036, data: 0.003) G_GAN: 0.629 G_L1: 5.401 D_real: 0.181 D_fake: 0.041 
(epoch: 14, iters: 21200, time: 0.039, data: 0.004) G_GAN: 1.002 G_L1: 5.370 D_real: 0.059 D_fake: 0.037 
(epoch: 14, iters: 21300, time: 0.038, data: 0.008) G_GAN: 0.651 G_L1: 5.305 D_real: 0.087 D_fake: 0.100 
(epoch: 14, iters: 21400, time: 0.037, data: 0.003) G_GAN: 0.476 G_L1: 4.615 D_real: 0.243 D_fake: 0.054 
(epoch: 14, iters: 21500, time: 0.039, data: 0.003) G_GAN: 0.960 G_L1: 4.819 D_real: 0.048 D_fake: 0.034 
(epoch: 14, iters: 21600, time: 0.042, data: 0.003) G_GAN: 0.899 G_L1: 5.445 D_real: 0.105 D_fake: 0.037 
(epoch: 14, iters: 21700, time: 0.040, data: 0.004) G_GAN: 0.967 G_L1: 5.583 D_real: 0.033 D_fake: 0.134 
(epoch: 14, iters: 21800, time: 0.043, data: 0.003) G_GAN: 0.898 G_L1: 4.751 D_real: 0.029 D_fake: 0.050 
(epoch: 14, iters: 21900, time: 0.044, data: 0.004) G_GAN: 0.576 G_L1: 4.531 D_real: 0.071 D_fake: 0.140 
(epoch: 14, iters: 22000, time: 0.081, data: 0.004) G_GAN: 1.008 G_L1: 5.211 D_real: 0.026 D_fake: 0.072 
(epoch: 14, iters: 22100, time: 0.040, data: 0.003) G_GAN: 0.841 G_L1: 5.040 D_real: 0.033 D_fake: 0.099 
(epoch: 14, iters: 22200, time: 0.037, data: 0.003) G_GAN: 0.777 G_L1: 5.703 D_real: 0.044 D_fake: 0.128 
(epoch: 14, iters: 22300, time: 0.039, data: 0.002) G_GAN: 0.766 G_L1: 5.425 D_real: 0.032 D_fake: 0.045 
(epoch: 14, iters: 22400, time: 0.035, data: 0.003) G_GAN: 0.860 G_L1: 5.340 D_real: 0.033 D_fake: 0.067 
(epoch: 14, iters: 22500, time: 0.039, data: 0.003) G_GAN: 0.518 G_L1: 6.693 D_real: 0.233 D_fake: 0.046 
(epoch: 14, iters: 22600, time: 0.041, data: 0.003) G_GAN: 0.772 G_L1: 6.640 D_real: 0.186 D_fake: 0.063 
(epoch: 14, iters: 22700, time: 0.042, data: 0.004) G_GAN: 0.704 G_L1: 5.293 D_real: 0.083 D_fake: 0.046 
(epoch: 14, iters: 22800, time: 0.040, data: 0.004) G_GAN: 0.613 G_L1: 6.296 D_real: 0.049 D_fake: 0.210 
(epoch: 14, iters: 22900, time: 0.037, data: 0.003) G_GAN: 0.772 G_L1: 4.321 D_real: 0.169 D_fake: 0.036 
(epoch: 14, iters: 23000, time: 0.041, data: 0.003) G_GAN: 1.042 G_L1: 6.178 D_real: 0.034 D_fake: 0.108 
(epoch: 14, iters: 23100, time: 0.036, data: 0.003) G_GAN: 0.719 G_L1: 5.706 D_real: 0.060 D_fake: 0.116 
(epoch: 14, iters: 23200, time: 0.039, data: 0.003) G_GAN: 1.006 G_L1: 5.213 D_real: 0.036 D_fake: 0.100 
(epoch: 14, iters: 23300, time: 0.040, data: 0.005) G_GAN: 0.692 G_L1: 5.398 D_real: 0.112 D_fake: 0.046 
(epoch: 14, iters: 23400, time: 0.042, data: 0.003) G_GAN: 0.500 G_L1: 5.529 D_real: 0.367 D_fake: 0.039 
(epoch: 14, iters: 23500, time: 0.039, data: 0.003) G_GAN: 0.948 G_L1: 4.846 D_real: 0.054 D_fake: 0.097 
(epoch: 14, iters: 23600, time: 0.039, data: 0.005) G_GAN: 1.109 G_L1: 4.214 D_real: 0.035 D_fake: 0.093 
(epoch: 14, iters: 23700, time: 0.037, data: 0.003) G_GAN: 0.609 G_L1: 5.655 D_real: 0.148 D_fake: 0.042 
(epoch: 14, iters: 23800, time: 0.041, data: 0.003) G_GAN: 0.894 G_L1: 4.812 D_real: 0.176 D_fake: 0.083 
(epoch: 14, iters: 23900, time: 0.042, data: 0.003) G_GAN: 0.768 G_L1: 5.525 D_real: 0.044 D_fake: 0.171 
(epoch: 14, iters: 24000, time: 0.087, data: 0.003) G_GAN: 0.736 G_L1: 4.782 D_real: 0.067 D_fake: 0.069 
(epoch: 14, iters: 24100, time: 0.043, data: 0.003) G_GAN: 0.708 G_L1: 4.431 D_real: 0.122 D_fake: 0.035 
(epoch: 14, iters: 24200, time: 0.040, data: 0.004) G_GAN: 0.880 G_L1: 6.303 D_real: 0.038 D_fake: 0.096 
(epoch: 14, iters: 24300, time: 0.036, data: 0.016) G_GAN: 1.200 G_L1: 4.507 D_real: 0.057 D_fake: 0.098 
(epoch: 14, iters: 24400, time: 0.040, data: 0.003) G_GAN: 0.976 G_L1: 4.220 D_real: 0.041 D_fake: 0.066 
(epoch: 14, iters: 24500, time: 0.041, data: 0.003) G_GAN: 0.901 G_L1: 5.133 D_real: 0.034 D_fake: 0.118 
(epoch: 14, iters: 24600, time: 0.038, data: 0.013) G_GAN: 1.233 G_L1: 4.659 D_real: 0.037 D_fake: 0.068 
(epoch: 14, iters: 24700, time: 0.039, data: 0.003) G_GAN: 0.572 G_L1: 4.830 D_real: 0.083 D_fake: 0.088 
(epoch: 14, iters: 24800, time: 0.037, data: 0.009) G_GAN: 0.781 G_L1: 5.779 D_real: 0.042 D_fake: 0.066 
(epoch: 14, iters: 24900, time: 0.032, data: 0.004) G_GAN: 0.580 G_L1: 4.900 D_real: 0.113 D_fake: 0.035 
(epoch: 14, iters: 25000, time: 0.039, data: 0.003) G_GAN: 0.841 G_L1: 6.295 D_real: 0.059 D_fake: 0.066 
(epoch: 14, iters: 25100, time: 0.040, data: 0.007) G_GAN: 0.949 G_L1: 4.526 D_real: 0.025 D_fake: 0.159 
(epoch: 14, iters: 25200, time: 0.040, data: 0.005) G_GAN: 0.636 G_L1: 4.143 D_real: 0.093 D_fake: 0.064 
(epoch: 14, iters: 25300, time: 0.040, data: 0.009) G_GAN: 1.177 G_L1: 5.974 D_real: 0.039 D_fake: 0.080 
(epoch: 14, iters: 25400, time: 0.039, data: 0.010) G_GAN: 0.792 G_L1: 5.029 D_real: 0.032 D_fake: 0.043 
(epoch: 14, iters: 25500, time: 0.036, data: 0.003) G_GAN: 1.048 G_L1: 5.001 D_real: 0.030 D_fake: 0.191 
(epoch: 14, iters: 25600, time: 0.041, data: 0.003) G_GAN: 0.817 G_L1: 6.072 D_real: 0.041 D_fake: 0.066 
(epoch: 14, iters: 25700, time: 0.042, data: 0.004) G_GAN: 0.568 G_L1: 4.831 D_real: 0.133 D_fake: 0.067 
(epoch: 14, iters: 25800, time: 0.042, data: 0.004) G_GAN: 1.210 G_L1: 6.723 D_real: 0.038 D_fake: 0.075 
(epoch: 14, iters: 25900, time: 0.043, data: 0.003) G_GAN: 0.677 G_L1: 5.260 D_real: 0.139 D_fake: 0.041 
(epoch: 14, iters: 26000, time: 0.085, data: 0.004) G_GAN: 0.856 G_L1: 6.891 D_real: 0.033 D_fake: 0.201 
saving the latest model (epoch 14, total_iters 650000)
(epoch: 14, iters: 26100, time: 0.036, data: 0.003) G_GAN: 0.800 G_L1: 5.348 D_real: 0.060 D_fake: 0.057 
(epoch: 14, iters: 26200, time: 0.039, data: 0.006) G_GAN: 1.362 G_L1: 5.210 D_real: 0.086 D_fake: 0.088 
(epoch: 14, iters: 26300, time: 0.040, data: 0.003) G_GAN: 0.550 G_L1: 5.892 D_real: 0.145 D_fake: 0.029 
(epoch: 14, iters: 26400, time: 0.043, data: 0.009) G_GAN: 0.569 G_L1: 4.918 D_real: 0.130 D_fake: 0.061 
(epoch: 14, iters: 26500, time: 0.038, data: 0.003) G_GAN: 0.956 G_L1: 4.628 D_real: 0.060 D_fake: 0.036 
(epoch: 14, iters: 26600, time: 0.035, data: 0.004) G_GAN: 1.105 G_L1: 5.615 D_real: 0.033 D_fake: 0.051 
(epoch: 14, iters: 26700, time: 0.041, data: 0.003) G_GAN: 0.742 G_L1: 6.209 D_real: 0.030 D_fake: 0.150 
(epoch: 14, iters: 26800, time: 0.038, data: 0.003) G_GAN: 0.820 G_L1: 5.208 D_real: 0.077 D_fake: 0.072 
(epoch: 14, iters: 26900, time: 0.043, data: 0.015) G_GAN: 0.750 G_L1: 4.477 D_real: 0.059 D_fake: 0.077 
(epoch: 14, iters: 27000, time: 0.039, data: 0.003) G_GAN: 0.956 G_L1: 5.179 D_real: 0.059 D_fake: 0.054 
(epoch: 14, iters: 27100, time: 0.039, data: 0.004) G_GAN: 1.268 G_L1: 4.717 D_real: 0.087 D_fake: 0.083 
(epoch: 14, iters: 27200, time: 0.042, data: 0.003) G_GAN: 0.882 G_L1: 4.905 D_real: 0.099 D_fake: 0.033 
(epoch: 14, iters: 27300, time: 0.038, data: 0.003) G_GAN: 1.063 G_L1: 5.028 D_real: 0.044 D_fake: 0.027 
(epoch: 14, iters: 27400, time: 0.033, data: 0.004) G_GAN: 0.585 G_L1: 5.221 D_real: 0.076 D_fake: 0.085 
(epoch: 14, iters: 27500, time: 0.044, data: 0.004) G_GAN: 0.742 G_L1: 5.157 D_real: 0.109 D_fake: 0.072 
(epoch: 14, iters: 27600, time: 0.038, data: 0.005) G_GAN: 0.786 G_L1: 5.328 D_real: 0.054 D_fake: 0.064 
(epoch: 14, iters: 27700, time: 0.039, data: 0.016) G_GAN: 1.098 G_L1: 6.073 D_real: 0.046 D_fake: 0.057 
(epoch: 14, iters: 27800, time: 0.038, data: 0.003) G_GAN: 1.221 G_L1: 5.109 D_real: 0.065 D_fake: 0.163 
(epoch: 14, iters: 27900, time: 0.039, data: 0.003) G_GAN: 0.362 G_L1: 4.823 D_real: 0.113 D_fake: 0.074 
(epoch: 14, iters: 28000, time: 0.072, data: 0.003) G_GAN: 0.626 G_L1: 6.001 D_real: 0.132 D_fake: 0.060 
(epoch: 14, iters: 28100, time: 0.038, data: 0.003) G_GAN: 1.217 G_L1: 5.941 D_real: 0.063 D_fake: 0.113 
(epoch: 14, iters: 28200, time: 0.037, data: 0.003) G_GAN: 0.711 G_L1: 5.355 D_real: 0.066 D_fake: 0.091 
(epoch: 14, iters: 28300, time: 0.038, data: 0.004) G_GAN: 0.676 G_L1: 4.890 D_real: 0.050 D_fake: 0.111 
(epoch: 14, iters: 28400, time: 0.042, data: 0.003) G_GAN: 0.808 G_L1: 4.538 D_real: 0.048 D_fake: 0.053 
(epoch: 14, iters: 28500, time: 0.041, data: 0.004) G_GAN: 0.705 G_L1: 5.409 D_real: 0.132 D_fake: 0.033 
(epoch: 14, iters: 28600, time: 0.037, data: 0.003) G_GAN: 0.986 G_L1: 5.500 D_real: 0.052 D_fake: 0.204 
(epoch: 14, iters: 28700, time: 0.037, data: 0.003) G_GAN: 0.737 G_L1: 6.997 D_real: 0.037 D_fake: 0.098 
(epoch: 14, iters: 28800, time: 0.039, data: 0.003) G_GAN: 0.859 G_L1: 5.685 D_real: 0.094 D_fake: 0.068 
(epoch: 14, iters: 28900, time: 0.040, data: 0.003) G_GAN: 0.885 G_L1: 5.229 D_real: 0.040 D_fake: 0.038 
(epoch: 14, iters: 29000, time: 0.039, data: 0.005) G_GAN: 0.913 G_L1: 4.824 D_real: 0.202 D_fake: 0.053 
(epoch: 14, iters: 29100, time: 0.044, data: 0.003) G_GAN: 1.019 G_L1: 5.137 D_real: 0.038 D_fake: 0.102 
(epoch: 14, iters: 29200, time: 0.038, data: 0.003) G_GAN: 0.923 G_L1: 4.706 D_real: 0.033 D_fake: 0.080 
(epoch: 14, iters: 29300, time: 0.043, data: 0.004) G_GAN: 0.822 G_L1: 6.130 D_real: 0.032 D_fake: 0.135 
(epoch: 14, iters: 29400, time: 0.040, data: 0.010) G_GAN: 0.845 G_L1: 5.840 D_real: 0.058 D_fake: 0.117 
(epoch: 14, iters: 29500, time: 0.043, data: 0.004) G_GAN: 1.015 G_L1: 5.924 D_real: 0.045 D_fake: 0.214 
(epoch: 14, iters: 29600, time: 0.040, data: 0.003) G_GAN: 0.883 G_L1: 4.566 D_real: 0.046 D_fake: 0.032 
(epoch: 14, iters: 29700, time: 0.041, data: 0.004) G_GAN: 0.810 G_L1: 6.119 D_real: 0.243 D_fake: 0.055 
(epoch: 14, iters: 29800, time: 0.042, data: 0.002) G_GAN: 0.734 G_L1: 4.271 D_real: 0.098 D_fake: 0.032 
(epoch: 14, iters: 29900, time: 0.043, data: 0.003) G_GAN: 1.009 G_L1: 4.276 D_real: 0.044 D_fake: 0.040 
(epoch: 14, iters: 30000, time: 0.070, data: 0.003) G_GAN: 0.663 G_L1: 5.419 D_real: 0.091 D_fake: 0.090 
(epoch: 14, iters: 30100, time: 0.037, data: 0.003) G_GAN: 0.728 G_L1: 5.069 D_real: 0.070 D_fake: 0.021 
(epoch: 14, iters: 30200, time: 0.043, data: 0.004) G_GAN: 1.079 G_L1: 5.806 D_real: 0.036 D_fake: 0.067 
(epoch: 14, iters: 30300, time: 0.039, data: 0.005) G_GAN: 0.375 G_L1: 4.989 D_real: 0.227 D_fake: 0.043 
(epoch: 14, iters: 30400, time: 0.039, data: 0.017) G_GAN: 0.939 G_L1: 5.153 D_real: 0.038 D_fake: 0.028 
(epoch: 14, iters: 30500, time: 0.038, data: 0.003) G_GAN: 0.701 G_L1: 5.776 D_real: 0.072 D_fake: 0.054 
(epoch: 14, iters: 30600, time: 0.044, data: 0.003) G_GAN: 0.720 G_L1: 5.094 D_real: 0.213 D_fake: 0.038 
(epoch: 14, iters: 30700, time: 0.042, data: 0.003) G_GAN: 1.035 G_L1: 4.655 D_real: 0.041 D_fake: 0.082 
(epoch: 14, iters: 30800, time: 0.041, data: 0.015) G_GAN: 0.784 G_L1: 5.084 D_real: 0.043 D_fake: 0.074 
(epoch: 14, iters: 30900, time: 0.038, data: 0.005) G_GAN: 0.753 G_L1: 5.091 D_real: 0.049 D_fake: 0.150 
(epoch: 14, iters: 31000, time: 0.041, data: 0.005) G_GAN: 0.588 G_L1: 5.319 D_real: 0.146 D_fake: 0.047 
saving the latest model (epoch 14, total_iters 655000)
(epoch: 14, iters: 31100, time: 0.039, data: 0.003) G_GAN: 0.578 G_L1: 5.046 D_real: 0.098 D_fake: 0.103 
(epoch: 14, iters: 31200, time: 0.043, data: 0.003) G_GAN: 0.697 G_L1: 5.879 D_real: 0.089 D_fake: 0.054 
(epoch: 14, iters: 31300, time: 0.039, data: 0.003) G_GAN: 0.742 G_L1: 6.288 D_real: 0.038 D_fake: 0.060 
(epoch: 14, iters: 31400, time: 0.037, data: 0.004) G_GAN: 0.660 G_L1: 5.098 D_real: 0.088 D_fake: 0.068 
(epoch: 14, iters: 31500, time: 0.041, data: 0.003) G_GAN: 0.740 G_L1: 5.715 D_real: 0.062 D_fake: 0.059 
(epoch: 14, iters: 31600, time: 0.041, data: 0.004) G_GAN: 0.650 G_L1: 5.073 D_real: 0.160 D_fake: 0.054 
(epoch: 14, iters: 31700, time: 0.039, data: 0.003) G_GAN: 0.612 G_L1: 6.444 D_real: 0.174 D_fake: 0.044 
(epoch: 14, iters: 31800, time: 0.040, data: 0.003) G_GAN: 0.762 G_L1: 5.752 D_real: 0.045 D_fake: 0.042 
(epoch: 14, iters: 31900, time: 0.038, data: 0.003) G_GAN: 0.686 G_L1: 5.323 D_real: 0.084 D_fake: 0.049 
(epoch: 14, iters: 32000, time: 0.083, data: 0.003) G_GAN: 0.987 G_L1: 5.610 D_real: 0.034 D_fake: 0.061 
(epoch: 14, iters: 32100, time: 0.042, data: 0.002) G_GAN: 1.071 G_L1: 4.660 D_real: 0.040 D_fake: 0.042 
(epoch: 14, iters: 32200, time: 0.039, data: 0.003) G_GAN: 0.728 G_L1: 5.230 D_real: 0.111 D_fake: 0.047 
(epoch: 14, iters: 32300, time: 0.042, data: 0.011) G_GAN: 0.674 G_L1: 4.121 D_real: 0.066 D_fake: 0.061 
(epoch: 14, iters: 32400, time: 0.040, data: 0.003) G_GAN: 0.915 G_L1: 5.390 D_real: 0.036 D_fake: 0.074 
(epoch: 14, iters: 32500, time: 0.037, data: 0.003) G_GAN: 0.829 G_L1: 5.529 D_real: 0.072 D_fake: 0.039 
(epoch: 14, iters: 32600, time: 0.039, data: 0.008) G_GAN: 0.970 G_L1: 6.110 D_real: 0.032 D_fake: 0.076 
(epoch: 14, iters: 32700, time: 0.038, data: 0.004) G_GAN: 1.015 G_L1: 5.644 D_real: 0.058 D_fake: 0.149 
(epoch: 14, iters: 32800, time: 0.040, data: 0.004) G_GAN: 0.917 G_L1: 4.917 D_real: 0.059 D_fake: 0.111 
(epoch: 14, iters: 32900, time: 0.039, data: 0.003) G_GAN: 0.790 G_L1: 5.290 D_real: 0.050 D_fake: 0.060 
(epoch: 14, iters: 33000, time: 0.035, data: 0.003) G_GAN: 0.791 G_L1: 6.356 D_real: 0.043 D_fake: 0.072 
(epoch: 14, iters: 33100, time: 0.038, data: 0.010) G_GAN: 0.940 G_L1: 6.163 D_real: 0.045 D_fake: 0.100 
(epoch: 14, iters: 33200, time: 0.038, data: 0.004) G_GAN: 1.067 G_L1: 4.829 D_real: 0.034 D_fake: 0.122 
(epoch: 14, iters: 33300, time: 0.041, data: 0.010) G_GAN: 0.648 G_L1: 5.182 D_real: 0.101 D_fake: 0.039 
(epoch: 14, iters: 33400, time: 0.041, data: 0.005) G_GAN: 1.042 G_L1: 4.561 D_real: 0.040 D_fake: 0.057 
(epoch: 14, iters: 33500, time: 0.042, data: 0.002) G_GAN: 0.591 G_L1: 6.209 D_real: 0.104 D_fake: 0.037 
(epoch: 14, iters: 33600, time: 0.042, data: 0.003) G_GAN: 0.556 G_L1: 5.313 D_real: 0.241 D_fake: 0.069 
(epoch: 14, iters: 33700, time: 0.040, data: 0.003) G_GAN: 1.027 G_L1: 6.490 D_real: 0.031 D_fake: 0.058 
(epoch: 14, iters: 33800, time: 0.045, data: 0.003) G_GAN: 1.276 G_L1: 4.720 D_real: 0.092 D_fake: 0.069 
(epoch: 14, iters: 33900, time: 0.038, data: 0.004) G_GAN: 0.686 G_L1: 4.418 D_real: 0.234 D_fake: 0.029 
(epoch: 14, iters: 34000, time: 0.086, data: 0.008) G_GAN: 0.696 G_L1: 4.489 D_real: 0.069 D_fake: 0.051 
(epoch: 14, iters: 34100, time: 0.043, data: 0.003) G_GAN: 1.052 G_L1: 5.911 D_real: 0.042 D_fake: 0.070 
(epoch: 14, iters: 34200, time: 0.037, data: 0.003) G_GAN: 0.800 G_L1: 5.466 D_real: 0.033 D_fake: 0.119 
(epoch: 14, iters: 34300, time: 0.042, data: 0.006) G_GAN: 0.957 G_L1: 4.550 D_real: 0.099 D_fake: 0.033 
(epoch: 14, iters: 34400, time: 0.041, data: 0.003) G_GAN: 0.829 G_L1: 6.194 D_real: 0.032 D_fake: 0.053 
(epoch: 14, iters: 34500, time: 0.039, data: 0.011) G_GAN: 0.938 G_L1: 4.703 D_real: 0.060 D_fake: 0.035 
(epoch: 14, iters: 34600, time: 0.037, data: 0.003) G_GAN: 0.787 G_L1: 5.036 D_real: 0.058 D_fake: 0.069 
(epoch: 14, iters: 34700, time: 0.034, data: 0.002) G_GAN: 0.645 G_L1: 5.036 D_real: 0.040 D_fake: 0.145 
(epoch: 14, iters: 34800, time: 0.042, data: 0.015) G_GAN: 0.860 G_L1: 5.441 D_real: 0.047 D_fake: 0.115 
(epoch: 14, iters: 34900, time: 0.039, data: 0.003) G_GAN: 0.908 G_L1: 6.402 D_real: 0.042 D_fake: 0.107 
(epoch: 14, iters: 35000, time: 0.040, data: 0.006) G_GAN: 0.658 G_L1: 5.093 D_real: 0.225 D_fake: 0.052 
(epoch: 14, iters: 35100, time: 0.038, data: 0.003) G_GAN: 0.757 G_L1: 6.865 D_real: 0.038 D_fake: 0.049 
(epoch: 14, iters: 35200, time: 0.038, data: 0.003) G_GAN: 1.151 G_L1: 6.190 D_real: 0.046 D_fake: 0.036 
(epoch: 14, iters: 35300, time: 0.042, data: 0.012) G_GAN: 1.023 G_L1: 6.020 D_real: 0.033 D_fake: 0.066 
(epoch: 14, iters: 35400, time: 0.040, data: 0.004) G_GAN: 0.757 G_L1: 4.454 D_real: 0.059 D_fake: 0.081 
(epoch: 14, iters: 35500, time: 0.042, data: 0.015) G_GAN: 0.820 G_L1: 4.644 D_real: 0.034 D_fake: 0.113 
(epoch: 14, iters: 35600, time: 0.041, data: 0.003) G_GAN: 0.792 G_L1: 6.177 D_real: 0.085 D_fake: 0.030 
(epoch: 14, iters: 35700, time: 0.048, data: 0.004) G_GAN: 0.723 G_L1: 5.453 D_real: 0.047 D_fake: 0.062 
(epoch: 14, iters: 35800, time: 0.039, data: 0.003) G_GAN: 0.545 G_L1: 4.598 D_real: 0.199 D_fake: 0.033 
(epoch: 14, iters: 35900, time: 0.040, data: 0.004) G_GAN: 0.717 G_L1: 5.046 D_real: 0.030 D_fake: 0.155 
(epoch: 14, iters: 36000, time: 0.078, data: 0.003) G_GAN: 0.902 G_L1: 4.522 D_real: 0.136 D_fake: 0.041 
saving the latest model (epoch 14, total_iters 660000)
(epoch: 14, iters: 36100, time: 0.041, data: 0.003) G_GAN: 0.808 G_L1: 5.444 D_real: 0.049 D_fake: 0.077 
(epoch: 14, iters: 36200, time: 0.039, data: 0.005) G_GAN: 0.733 G_L1: 4.440 D_real: 0.078 D_fake: 0.091 
(epoch: 14, iters: 36300, time: 0.039, data: 0.001) G_GAN: 0.677 G_L1: 5.722 D_real: 0.159 D_fake: 0.037 
(epoch: 14, iters: 36400, time: 0.039, data: 0.016) G_GAN: 0.718 G_L1: 4.896 D_real: 0.118 D_fake: 0.029 
(epoch: 14, iters: 36500, time: 0.040, data: 0.003) G_GAN: 0.635 G_L1: 5.190 D_real: 0.144 D_fake: 0.028 
(epoch: 14, iters: 36600, time: 0.038, data: 0.006) G_GAN: 0.825 G_L1: 7.261 D_real: 0.045 D_fake: 0.111 
(epoch: 14, iters: 36700, time: 0.037, data: 0.004) G_GAN: 1.058 G_L1: 5.528 D_real: 0.031 D_fake: 0.052 
(epoch: 14, iters: 36800, time: 0.040, data: 0.004) G_GAN: 1.012 G_L1: 4.876 D_real: 0.035 D_fake: 0.094 
(epoch: 14, iters: 36900, time: 0.036, data: 0.017) G_GAN: 0.745 G_L1: 5.221 D_real: 0.102 D_fake: 0.035 
(epoch: 14, iters: 37000, time: 0.039, data: 0.004) G_GAN: 0.911 G_L1: 5.159 D_real: 0.040 D_fake: 0.308 
(epoch: 14, iters: 37100, time: 0.039, data: 0.003) G_GAN: 0.722 G_L1: 4.722 D_real: 0.120 D_fake: 0.116 
(epoch: 14, iters: 37200, time: 0.038, data: 0.013) G_GAN: 1.048 G_L1: 4.903 D_real: 0.032 D_fake: 0.027 
(epoch: 14, iters: 37300, time: 0.040, data: 0.005) G_GAN: 0.915 G_L1: 6.274 D_real: 0.042 D_fake: 0.040 
(epoch: 14, iters: 37400, time: 0.038, data: 0.004) G_GAN: 0.610 G_L1: 6.057 D_real: 0.179 D_fake: 0.026 
(epoch: 14, iters: 37500, time: 0.041, data: 0.004) G_GAN: 0.731 G_L1: 5.329 D_real: 0.063 D_fake: 0.045 
(epoch: 14, iters: 37600, time: 0.041, data: 0.003) G_GAN: 0.880 G_L1: 5.514 D_real: 0.037 D_fake: 0.070 
(epoch: 14, iters: 37700, time: 0.037, data: 0.003) G_GAN: 0.565 G_L1: 4.438 D_real: 0.153 D_fake: 0.042 
(epoch: 14, iters: 37800, time: 0.038, data: 0.003) G_GAN: 0.513 G_L1: 5.947 D_real: 0.091 D_fake: 0.134 
(epoch: 14, iters: 37900, time: 0.042, data: 0.004) G_GAN: 1.189 G_L1: 5.013 D_real: 0.048 D_fake: 0.107 
(epoch: 14, iters: 38000, time: 0.085, data: 0.012) G_GAN: 0.864 G_L1: 5.327 D_real: 0.064 D_fake: 0.069 
(epoch: 14, iters: 38100, time: 0.037, data: 0.003) G_GAN: 1.215 G_L1: 5.891 D_real: 0.024 D_fake: 0.036 
(epoch: 14, iters: 38200, time: 0.040, data: 0.003) G_GAN: 0.501 G_L1: 5.565 D_real: 0.335 D_fake: 0.030 
(epoch: 14, iters: 38300, time: 0.043, data: 0.004) G_GAN: 0.816 G_L1: 4.684 D_real: 0.088 D_fake: 0.033 
(epoch: 14, iters: 38400, time: 0.042, data: 0.005) G_GAN: 1.049 G_L1: 5.187 D_real: 0.034 D_fake: 0.043 
(epoch: 14, iters: 38500, time: 0.039, data: 0.003) G_GAN: 0.849 G_L1: 5.979 D_real: 0.113 D_fake: 0.109 
(epoch: 14, iters: 38600, time: 0.044, data: 0.003) G_GAN: 0.915 G_L1: 5.378 D_real: 0.039 D_fake: 0.137 
(epoch: 14, iters: 38700, time: 0.040, data: 0.003) G_GAN: 0.808 G_L1: 4.674 D_real: 0.154 D_fake: 0.039 
(epoch: 14, iters: 38800, time: 0.041, data: 0.005) G_GAN: 0.612 G_L1: 4.818 D_real: 0.149 D_fake: 0.047 
(epoch: 14, iters: 38900, time: 0.036, data: 0.003) G_GAN: 0.805 G_L1: 7.200 D_real: 0.047 D_fake: 0.080 
(epoch: 14, iters: 39000, time: 0.041, data: 0.003) G_GAN: 0.918 G_L1: 4.394 D_real: 0.039 D_fake: 0.081 
(epoch: 14, iters: 39100, time: 0.038, data: 0.003) G_GAN: 0.662 G_L1: 5.210 D_real: 0.084 D_fake: 0.057 
(epoch: 14, iters: 39200, time: 0.041, data: 0.005) G_GAN: 0.762 G_L1: 5.391 D_real: 0.207 D_fake: 0.031 
(epoch: 14, iters: 39300, time: 0.039, data: 0.005) G_GAN: 0.533 G_L1: 6.428 D_real: 0.245 D_fake: 0.045 
(epoch: 14, iters: 39400, time: 0.042, data: 0.004) G_GAN: 1.131 G_L1: 5.253 D_real: 0.040 D_fake: 0.028 
(epoch: 14, iters: 39500, time: 0.042, data: 0.011) G_GAN: 0.808 G_L1: 5.313 D_real: 0.037 D_fake: 0.086 
(epoch: 14, iters: 39600, time: 0.039, data: 0.004) G_GAN: 0.842 G_L1: 6.496 D_real: 0.056 D_fake: 0.200 
(epoch: 14, iters: 39700, time: 0.039, data: 0.003) G_GAN: 0.936 G_L1: 6.297 D_real: 0.032 D_fake: 0.056 
(epoch: 14, iters: 39800, time: 0.035, data: 0.006) G_GAN: 0.984 G_L1: 5.866 D_real: 0.069 D_fake: 0.057 
(epoch: 14, iters: 39900, time: 0.037, data: 0.003) G_GAN: 0.648 G_L1: 6.481 D_real: 0.083 D_fake: 0.034 
(epoch: 14, iters: 40000, time: 0.089, data: 0.003) G_GAN: 0.896 G_L1: 5.039 D_real: 0.030 D_fake: 0.058 
(epoch: 14, iters: 40100, time: 0.041, data: 0.003) G_GAN: 0.909 G_L1: 5.933 D_real: 0.031 D_fake: 0.068 
(epoch: 14, iters: 40200, time: 0.039, data: 0.003) G_GAN: 1.057 G_L1: 5.458 D_real: 0.072 D_fake: 0.210 
(epoch: 14, iters: 40300, time: 0.040, data: 0.003) G_GAN: 0.790 G_L1: 4.638 D_real: 0.101 D_fake: 0.051 
(epoch: 14, iters: 40400, time: 0.039, data: 0.006) G_GAN: 1.058 G_L1: 5.236 D_real: 0.047 D_fake: 0.077 
(epoch: 14, iters: 40500, time: 0.039, data: 0.003) G_GAN: 1.045 G_L1: 6.809 D_real: 0.029 D_fake: 0.039 
(epoch: 14, iters: 40600, time: 0.043, data: 0.004) G_GAN: 0.783 G_L1: 5.281 D_real: 0.161 D_fake: 0.028 
(epoch: 14, iters: 40700, time: 0.042, data: 0.012) G_GAN: 0.825 G_L1: 4.862 D_real: 0.066 D_fake: 0.043 
(epoch: 14, iters: 40800, time: 0.039, data: 0.003) G_GAN: 0.950 G_L1: 5.178 D_real: 0.046 D_fake: 0.026 
(epoch: 14, iters: 40900, time: 0.037, data: 0.010) G_GAN: 1.088 G_L1: 5.090 D_real: 0.045 D_fake: 0.162 
(epoch: 14, iters: 41000, time: 0.037, data: 0.011) G_GAN: 0.458 G_L1: 4.553 D_real: 0.209 D_fake: 0.030 
saving the latest model (epoch 14, total_iters 665000)
(epoch: 14, iters: 41100, time: 0.039, data: 0.003) G_GAN: 0.711 G_L1: 5.809 D_real: 0.039 D_fake: 0.044 
(epoch: 14, iters: 41200, time: 0.037, data: 0.003) G_GAN: 0.916 G_L1: 4.924 D_real: 0.098 D_fake: 0.087 
(epoch: 14, iters: 41300, time: 0.043, data: 0.003) G_GAN: 0.671 G_L1: 5.301 D_real: 0.097 D_fake: 0.036 
(epoch: 14, iters: 41400, time: 0.037, data: 0.004) G_GAN: 0.884 G_L1: 5.583 D_real: 0.094 D_fake: 0.038 
(epoch: 14, iters: 41500, time: 0.038, data: 0.003) G_GAN: 0.630 G_L1: 5.512 D_real: 0.183 D_fake: 0.056 
(epoch: 14, iters: 41600, time: 0.037, data: 0.012) G_GAN: 0.801 G_L1: 4.586 D_real: 0.055 D_fake: 0.043 
(epoch: 14, iters: 41700, time: 0.035, data: 0.008) G_GAN: 1.030 G_L1: 4.936 D_real: 0.046 D_fake: 0.035 
(epoch: 14, iters: 41800, time: 0.042, data: 0.016) G_GAN: 0.859 G_L1: 4.962 D_real: 0.048 D_fake: 0.043 
(epoch: 14, iters: 41900, time: 0.041, data: 0.017) G_GAN: 1.033 G_L1: 4.494 D_real: 0.029 D_fake: 0.054 
(epoch: 14, iters: 42000, time: 0.087, data: 0.005) G_GAN: 0.881 G_L1: 6.109 D_real: 0.032 D_fake: 0.127 
(epoch: 14, iters: 42100, time: 0.034, data: 0.007) G_GAN: 0.624 G_L1: 5.212 D_real: 0.109 D_fake: 0.033 
(epoch: 14, iters: 42200, time: 0.042, data: 0.003) G_GAN: 0.775 G_L1: 5.564 D_real: 0.131 D_fake: 0.027 
(epoch: 14, iters: 42300, time: 0.040, data: 0.013) G_GAN: 1.095 G_L1: 4.970 D_real: 0.033 D_fake: 0.078 
(epoch: 14, iters: 42400, time: 0.041, data: 0.002) G_GAN: 1.005 G_L1: 4.766 D_real: 0.032 D_fake: 0.125 
(epoch: 14, iters: 42500, time: 0.041, data: 0.004) G_GAN: 0.743 G_L1: 5.944 D_real: 0.051 D_fake: 0.122 
(epoch: 14, iters: 42600, time: 0.042, data: 0.009) G_GAN: 0.983 G_L1: 5.212 D_real: 0.060 D_fake: 0.107 
(epoch: 14, iters: 42700, time: 0.038, data: 0.003) G_GAN: 0.988 G_L1: 5.871 D_real: 0.025 D_fake: 0.026 
(epoch: 14, iters: 42800, time: 0.040, data: 0.003) G_GAN: 0.580 G_L1: 5.269 D_real: 0.161 D_fake: 0.039 
(epoch: 14, iters: 42900, time: 0.042, data: 0.015) G_GAN: 0.975 G_L1: 5.171 D_real: 0.028 D_fake: 0.086 
(epoch: 14, iters: 43000, time: 0.040, data: 0.003) G_GAN: 0.520 G_L1: 5.421 D_real: 0.084 D_fake: 0.070 
(epoch: 14, iters: 43100, time: 0.036, data: 0.003) G_GAN: 1.028 G_L1: 5.145 D_real: 0.040 D_fake: 0.085 
(epoch: 14, iters: 43200, time: 0.042, data: 0.012) G_GAN: 0.654 G_L1: 5.049 D_real: 0.040 D_fake: 0.066 
(epoch: 14, iters: 43300, time: 0.041, data: 0.011) G_GAN: 0.872 G_L1: 5.765 D_real: 0.053 D_fake: 0.094 
(epoch: 14, iters: 43400, time: 0.041, data: 0.015) G_GAN: 0.689 G_L1: 4.689 D_real: 0.130 D_fake: 0.029 
(epoch: 14, iters: 43500, time: 0.041, data: 0.008) G_GAN: 0.872 G_L1: 5.162 D_real: 0.036 D_fake: 0.047 
(epoch: 14, iters: 43600, time: 0.042, data: 0.003) G_GAN: 0.834 G_L1: 5.265 D_real: 0.110 D_fake: 0.039 
(epoch: 14, iters: 43700, time: 0.037, data: 0.003) G_GAN: 0.506 G_L1: 4.030 D_real: 0.247 D_fake: 0.032 
(epoch: 14, iters: 43800, time: 0.040, data: 0.004) G_GAN: 0.716 G_L1: 4.989 D_real: 0.051 D_fake: 0.080 
(epoch: 14, iters: 43900, time: 0.040, data: 0.003) G_GAN: 0.638 G_L1: 5.936 D_real: 0.152 D_fake: 0.035 
(epoch: 14, iters: 44000, time: 0.070, data: 0.003) G_GAN: 0.753 G_L1: 5.479 D_real: 0.124 D_fake: 0.064 
(epoch: 14, iters: 44100, time: 0.038, data: 0.003) G_GAN: 0.811 G_L1: 4.651 D_real: 0.055 D_fake: 0.045 
(epoch: 14, iters: 44200, time: 0.041, data: 0.003) G_GAN: 1.029 G_L1: 5.976 D_real: 0.031 D_fake: 0.138 
(epoch: 14, iters: 44300, time: 0.039, data: 0.003) G_GAN: 0.901 G_L1: 4.530 D_real: 0.110 D_fake: 0.039 
(epoch: 14, iters: 44400, time: 0.036, data: 0.004) G_GAN: 1.042 G_L1: 5.081 D_real: 0.034 D_fake: 0.058 
(epoch: 14, iters: 44500, time: 0.039, data: 0.011) G_GAN: 1.110 G_L1: 4.647 D_real: 0.028 D_fake: 0.115 
(epoch: 14, iters: 44600, time: 0.038, data: 0.006) G_GAN: 0.744 G_L1: 5.528 D_real: 0.130 D_fake: 0.028 
(epoch: 14, iters: 44700, time: 0.045, data: 0.004) G_GAN: 0.786 G_L1: 4.764 D_real: 0.085 D_fake: 0.061 
(epoch: 14, iters: 44800, time: 0.041, data: 0.003) G_GAN: 0.691 G_L1: 5.032 D_real: 0.141 D_fake: 0.045 
(epoch: 14, iters: 44900, time: 0.043, data: 0.003) G_GAN: 0.762 G_L1: 5.793 D_real: 0.061 D_fake: 0.096 
(epoch: 14, iters: 45000, time: 0.033, data: 0.003) G_GAN: 0.759 G_L1: 5.487 D_real: 0.102 D_fake: 0.037 
(epoch: 14, iters: 45100, time: 0.040, data: 0.015) G_GAN: 0.770 G_L1: 6.030 D_real: 0.036 D_fake: 0.145 
(epoch: 14, iters: 45200, time: 0.034, data: 0.003) G_GAN: 0.976 G_L1: 5.362 D_real: 0.027 D_fake: 0.068 
(epoch: 14, iters: 45300, time: 0.041, data: 0.012) G_GAN: 1.067 G_L1: 5.896 D_real: 0.042 D_fake: 0.034 
(epoch: 14, iters: 45400, time: 0.040, data: 0.004) G_GAN: 0.632 G_L1: 6.307 D_real: 0.145 D_fake: 0.043 
(epoch: 14, iters: 45500, time: 0.040, data: 0.004) G_GAN: 1.370 G_L1: 5.875 D_real: 0.061 D_fake: 0.032 
(epoch: 14, iters: 45600, time: 0.037, data: 0.003) G_GAN: 0.597 G_L1: 6.021 D_real: 0.081 D_fake: 0.070 
(epoch: 14, iters: 45700, time: 0.042, data: 0.010) G_GAN: 0.816 G_L1: 5.637 D_real: 0.084 D_fake: 0.024 
(epoch: 14, iters: 45800, time: 0.037, data: 0.003) G_GAN: 0.848 G_L1: 5.488 D_real: 0.037 D_fake: 0.028 
(epoch: 14, iters: 45900, time: 0.037, data: 0.003) G_GAN: 0.914 G_L1: 4.987 D_real: 0.027 D_fake: 0.196 
(epoch: 14, iters: 46000, time: 0.073, data: 0.003) G_GAN: 0.728 G_L1: 5.394 D_real: 0.072 D_fake: 0.084 
saving the latest model (epoch 14, total_iters 670000)
(epoch: 14, iters: 46100, time: 0.043, data: 0.003) G_GAN: 0.682 G_L1: 5.623 D_real: 0.046 D_fake: 0.032 
(epoch: 14, iters: 46200, time: 0.042, data: 0.008) G_GAN: 0.894 G_L1: 4.420 D_real: 0.113 D_fake: 0.041 
(epoch: 14, iters: 46300, time: 0.040, data: 0.007) G_GAN: 1.083 G_L1: 5.204 D_real: 0.057 D_fake: 0.039 
(epoch: 14, iters: 46400, time: 0.037, data: 0.003) G_GAN: 0.746 G_L1: 6.262 D_real: 0.052 D_fake: 0.075 
(epoch: 14, iters: 46500, time: 0.037, data: 0.010) G_GAN: 1.140 G_L1: 5.639 D_real: 0.043 D_fake: 0.080 
(epoch: 14, iters: 46600, time: 0.042, data: 0.004) G_GAN: 0.724 G_L1: 5.688 D_real: 0.037 D_fake: 0.053 
(epoch: 14, iters: 46700, time: 0.044, data: 0.003) G_GAN: 1.082 G_L1: 6.347 D_real: 0.032 D_fake: 0.030 
(epoch: 14, iters: 46800, time: 0.040, data: 0.003) G_GAN: 0.668 G_L1: 4.927 D_real: 0.079 D_fake: 0.088 
(epoch: 14, iters: 46900, time: 0.042, data: 0.003) G_GAN: 0.577 G_L1: 4.291 D_real: 0.157 D_fake: 0.026 
(epoch: 14, iters: 47000, time: 0.040, data: 0.004) G_GAN: 1.310 G_L1: 5.915 D_real: 0.085 D_fake: 0.043 
(epoch: 14, iters: 47100, time: 0.040, data: 0.003) G_GAN: 0.702 G_L1: 4.303 D_real: 0.055 D_fake: 0.156 
(epoch: 14, iters: 47200, time: 0.038, data: 0.004) G_GAN: 0.851 G_L1: 5.216 D_real: 0.060 D_fake: 0.045 
(epoch: 14, iters: 47300, time: 0.039, data: 0.004) G_GAN: 0.986 G_L1: 6.125 D_real: 0.036 D_fake: 0.086 
(epoch: 14, iters: 47400, time: 0.043, data: 0.003) G_GAN: 1.096 G_L1: 4.373 D_real: 0.040 D_fake: 0.050 
(epoch: 14, iters: 47500, time: 0.042, data: 0.009) G_GAN: 1.176 G_L1: 5.781 D_real: 0.030 D_fake: 0.031 
(epoch: 14, iters: 47600, time: 0.040, data: 0.003) G_GAN: 0.870 G_L1: 6.201 D_real: 0.066 D_fake: 0.031 
(epoch: 14, iters: 47700, time: 0.044, data: 0.004) G_GAN: 0.721 G_L1: 6.407 D_real: 0.120 D_fake: 0.034 
(epoch: 14, iters: 47800, time: 0.042, data: 0.003) G_GAN: 0.527 G_L1: 5.080 D_real: 0.099 D_fake: 0.040 
(epoch: 14, iters: 47900, time: 0.042, data: 0.004) G_GAN: 0.733 G_L1: 4.949 D_real: 0.114 D_fake: 0.038 
(epoch: 14, iters: 48000, time: 0.087, data: 0.004) G_GAN: 1.035 G_L1: 4.652 D_real: 0.024 D_fake: 0.085 
saving the model at the end of epoch 14, iters 672000
End of epoch 14 / 20 	 Time Taken: 1217 sec
learning rate 0.0001091 -> 0.0000909
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
(epoch: 15, iters: 100, time: 0.042, data: 0.650) G_GAN: 0.766 G_L1: 4.523 D_real: 0.045 D_fake: 0.068 
(epoch: 15, iters: 200, time: 0.029, data: 0.004) G_GAN: 0.786 G_L1: 5.347 D_real: 0.028 D_fake: 0.111 
(epoch: 15, iters: 300, time: 0.041, data: 0.008) G_GAN: 0.791 G_L1: 5.810 D_real: 0.076 D_fake: 0.028 
(epoch: 15, iters: 400, time: 0.137, data: 0.001) G_GAN: 0.796 G_L1: 5.242 D_real: 0.039 D_fake: 0.037 
(epoch: 15, iters: 500, time: 0.040, data: 0.003) G_GAN: 0.670 G_L1: 5.315 D_real: 0.105 D_fake: 0.063 
(epoch: 15, iters: 600, time: 0.039, data: 0.010) G_GAN: 0.853 G_L1: 4.321 D_real: 0.094 D_fake: 0.034 
(epoch: 15, iters: 700, time: 0.036, data: 0.009) G_GAN: 0.876 G_L1: 4.756 D_real: 0.028 D_fake: 0.033 
(epoch: 15, iters: 800, time: 0.037, data: 0.003) G_GAN: 0.710 G_L1: 5.653 D_real: 0.098 D_fake: 0.080 
(epoch: 15, iters: 900, time: 0.039, data: 0.009) G_GAN: 0.960 G_L1: 5.832 D_real: 0.041 D_fake: 0.119 
(epoch: 15, iters: 1000, time: 0.036, data: 0.009) G_GAN: 0.872 G_L1: 5.622 D_real: 0.040 D_fake: 0.062 
(epoch: 15, iters: 1100, time: 0.038, data: 0.005) G_GAN: 1.149 G_L1: 5.461 D_real: 0.037 D_fake: 0.055 
(epoch: 15, iters: 1200, time: 0.040, data: 0.003) G_GAN: 0.836 G_L1: 5.075 D_real: 0.036 D_fake: 0.089 
(epoch: 15, iters: 1300, time: 0.039, data: 0.008) G_GAN: 0.762 G_L1: 4.655 D_real: 0.043 D_fake: 0.074 
(epoch: 15, iters: 1400, time: 0.034, data: 0.004) G_GAN: 0.836 G_L1: 5.262 D_real: 0.071 D_fake: 0.029 
(epoch: 15, iters: 1500, time: 0.038, data: 0.009) G_GAN: 0.793 G_L1: 5.209 D_real: 0.044 D_fake: 0.068 
(epoch: 15, iters: 1600, time: 0.040, data: 0.010) G_GAN: 0.501 G_L1: 6.627 D_real: 0.100 D_fake: 0.111 
(epoch: 15, iters: 1700, time: 0.040, data: 0.014) G_GAN: 1.096 G_L1: 4.842 D_real: 0.070 D_fake: 0.037 
(epoch: 15, iters: 1800, time: 0.039, data: 0.008) G_GAN: 0.773 G_L1: 6.112 D_real: 0.042 D_fake: 0.103 
(epoch: 15, iters: 1900, time: 0.042, data: 0.004) G_GAN: 1.044 G_L1: 5.709 D_real: 0.059 D_fake: 0.063 
(epoch: 15, iters: 2000, time: 0.085, data: 0.007) G_GAN: 0.909 G_L1: 4.516 D_real: 0.067 D_fake: 0.037 
(epoch: 15, iters: 2100, time: 0.039, data: 0.007) G_GAN: 0.913 G_L1: 4.556 D_real: 0.034 D_fake: 0.067 
(epoch: 15, iters: 2200, time: 0.038, data: 0.003) G_GAN: 0.548 G_L1: 5.370 D_real: 0.111 D_fake: 0.041 
(epoch: 15, iters: 2300, time: 0.037, data: 0.015) G_GAN: 0.626 G_L1: 5.601 D_real: 0.109 D_fake: 0.051 
(epoch: 15, iters: 2400, time: 0.042, data: 0.013) G_GAN: 0.826 G_L1: 5.719 D_real: 0.030 D_fake: 0.050 
(epoch: 15, iters: 2500, time: 0.039, data: 0.007) G_GAN: 0.535 G_L1: 5.291 D_real: 0.130 D_fake: 0.089 
(epoch: 15, iters: 2600, time: 0.035, data: 0.003) G_GAN: 1.051 G_L1: 7.247 D_real: 0.043 D_fake: 0.213 
(epoch: 15, iters: 2700, time: 0.035, data: 0.004) G_GAN: 0.907 G_L1: 5.480 D_real: 0.124 D_fake: 0.026 
(epoch: 15, iters: 2800, time: 0.040, data: 0.019) G_GAN: 0.889 G_L1: 5.059 D_real: 0.038 D_fake: 0.146 
(epoch: 15, iters: 2900, time: 0.041, data: 0.010) G_GAN: 0.784 G_L1: 4.684 D_real: 0.037 D_fake: 0.057 
(epoch: 15, iters: 3000, time: 0.040, data: 0.006) G_GAN: 0.809 G_L1: 5.260 D_real: 0.066 D_fake: 0.029 
saving the latest model (epoch 15, total_iters 675000)
(epoch: 15, iters: 3100, time: 0.034, data: 0.003) G_GAN: 0.864 G_L1: 5.595 D_real: 0.079 D_fake: 0.035 
(epoch: 15, iters: 3200, time: 0.036, data: 0.010) G_GAN: 0.733 G_L1: 5.718 D_real: 0.050 D_fake: 0.054 
(epoch: 15, iters: 3300, time: 0.038, data: 0.010) G_GAN: 0.546 G_L1: 4.809 D_real: 0.196 D_fake: 0.066 
(epoch: 15, iters: 3400, time: 0.036, data: 0.003) G_GAN: 1.014 G_L1: 5.694 D_real: 0.041 D_fake: 0.138 
(epoch: 15, iters: 3500, time: 0.038, data: 0.004) G_GAN: 0.814 G_L1: 5.926 D_real: 0.031 D_fake: 0.098 
(epoch: 15, iters: 3600, time: 0.037, data: 0.010) G_GAN: 0.664 G_L1: 4.619 D_real: 0.034 D_fake: 0.124 
(epoch: 15, iters: 3700, time: 0.037, data: 0.002) G_GAN: 0.823 G_L1: 4.792 D_real: 0.108 D_fake: 0.023 
(epoch: 15, iters: 3800, time: 0.040, data: 0.008) G_GAN: 1.224 G_L1: 4.315 D_real: 0.096 D_fake: 0.043 
(epoch: 15, iters: 3900, time: 0.037, data: 0.003) G_GAN: 0.730 G_L1: 6.112 D_real: 0.029 D_fake: 0.070 
(epoch: 15, iters: 4000, time: 0.097, data: 0.003) G_GAN: 0.924 G_L1: 5.176 D_real: 0.063 D_fake: 0.025 
(epoch: 15, iters: 4100, time: 0.034, data: 0.001) G_GAN: 0.695 G_L1: 4.516 D_real: 0.067 D_fake: 0.100 
(epoch: 15, iters: 4200, time: 0.034, data: 0.003) G_GAN: 1.031 G_L1: 6.014 D_real: 0.029 D_fake: 0.040 
(epoch: 15, iters: 4300, time: 0.033, data: 0.004) G_GAN: 0.766 G_L1: 4.808 D_real: 0.096 D_fake: 0.044 
(epoch: 15, iters: 4400, time: 0.034, data: 0.007) G_GAN: 0.882 G_L1: 4.601 D_real: 0.036 D_fake: 0.047 
(epoch: 15, iters: 4500, time: 0.039, data: 0.003) G_GAN: 0.821 G_L1: 5.698 D_real: 0.062 D_fake: 0.060 
(epoch: 15, iters: 4600, time: 0.040, data: 0.003) G_GAN: 1.165 G_L1: 5.480 D_real: 0.032 D_fake: 0.057 
(epoch: 15, iters: 4700, time: 0.041, data: 0.004) G_GAN: 0.948 G_L1: 5.202 D_real: 0.030 D_fake: 0.066 
(epoch: 15, iters: 4800, time: 0.038, data: 0.020) G_GAN: 1.012 G_L1: 5.645 D_real: 0.034 D_fake: 0.028 
(epoch: 15, iters: 4900, time: 0.039, data: 0.009) G_GAN: 0.661 G_L1: 4.601 D_real: 0.039 D_fake: 0.189 
(epoch: 15, iters: 5000, time: 0.037, data: 0.005) G_GAN: 1.001 G_L1: 5.327 D_real: 0.041 D_fake: 0.058 
(epoch: 15, iters: 5100, time: 0.039, data: 0.006) G_GAN: 0.634 G_L1: 5.251 D_real: 0.134 D_fake: 0.035 
(epoch: 15, iters: 5200, time: 0.036, data: 0.006) G_GAN: 0.732 G_L1: 5.413 D_real: 0.091 D_fake: 0.032 
(epoch: 15, iters: 5300, time: 0.035, data: 0.026) G_GAN: 1.051 G_L1: 5.818 D_real: 0.044 D_fake: 0.309 
(epoch: 15, iters: 5400, time: 0.035, data: 0.007) G_GAN: 0.986 G_L1: 4.633 D_real: 0.034 D_fake: 0.087 
(epoch: 15, iters: 5500, time: 0.039, data: 0.009) G_GAN: 1.065 G_L1: 5.033 D_real: 0.038 D_fake: 0.064 
(epoch: 15, iters: 5600, time: 0.041, data: 0.009) G_GAN: 0.745 G_L1: 5.875 D_real: 0.083 D_fake: 0.048 
(epoch: 15, iters: 5700, time: 0.037, data: 0.008) G_GAN: 0.831 G_L1: 5.361 D_real: 0.047 D_fake: 0.059 
(epoch: 15, iters: 5800, time: 0.038, data: 0.016) G_GAN: 0.632 G_L1: 5.621 D_real: 0.173 D_fake: 0.036 
(epoch: 15, iters: 5900, time: 0.044, data: 0.016) G_GAN: 0.895 G_L1: 5.208 D_real: 0.059 D_fake: 0.044 
(epoch: 15, iters: 6000, time: 0.107, data: 0.011) G_GAN: 0.856 G_L1: 5.572 D_real: 0.041 D_fake: 0.075 
(epoch: 15, iters: 6100, time: 0.042, data: 0.002) G_GAN: 1.019 G_L1: 6.275 D_real: 0.026 D_fake: 0.079 
(epoch: 15, iters: 6200, time: 0.038, data: 0.003) G_GAN: 0.678 G_L1: 5.710 D_real: 0.081 D_fake: 0.059 
(epoch: 15, iters: 6300, time: 0.039, data: 0.010) G_GAN: 0.935 G_L1: 4.846 D_real: 0.036 D_fake: 0.105 
(epoch: 15, iters: 6400, time: 0.033, data: 0.005) G_GAN: 0.954 G_L1: 4.883 D_real: 0.028 D_fake: 0.042 
(epoch: 15, iters: 6500, time: 0.038, data: 0.004) G_GAN: 0.805 G_L1: 4.925 D_real: 0.063 D_fake: 0.035 
(epoch: 15, iters: 6600, time: 0.037, data: 0.006) G_GAN: 0.871 G_L1: 5.365 D_real: 0.033 D_fake: 0.034 
(epoch: 15, iters: 6700, time: 0.035, data: 0.003) G_GAN: 0.805 G_L1: 5.688 D_real: 0.150 D_fake: 0.025 
(epoch: 15, iters: 6800, time: 0.042, data: 0.006) G_GAN: 0.767 G_L1: 4.934 D_real: 0.060 D_fake: 0.042 
(epoch: 15, iters: 6900, time: 0.036, data: 0.003) G_GAN: 0.557 G_L1: 5.427 D_real: 0.096 D_fake: 0.055 
(epoch: 15, iters: 7000, time: 0.040, data: 0.004) G_GAN: 0.790 G_L1: 5.268 D_real: 0.035 D_fake: 0.028 
(epoch: 15, iters: 7100, time: 0.040, data: 0.028) G_GAN: 0.798 G_L1: 4.384 D_real: 0.081 D_fake: 0.034 
(epoch: 15, iters: 7200, time: 0.038, data: 0.003) G_GAN: 0.984 G_L1: 5.984 D_real: 0.028 D_fake: 0.058 
(epoch: 15, iters: 7300, time: 0.043, data: 0.006) G_GAN: 0.722 G_L1: 4.768 D_real: 0.119 D_fake: 0.033 
(epoch: 15, iters: 7400, time: 0.041, data: 0.003) G_GAN: 1.101 G_L1: 5.724 D_real: 0.029 D_fake: 0.093 
(epoch: 15, iters: 7500, time: 0.037, data: 0.003) G_GAN: 0.762 G_L1: 5.416 D_real: 0.140 D_fake: 0.029 
(epoch: 15, iters: 7600, time: 0.039, data: 0.010) G_GAN: 0.669 G_L1: 5.609 D_real: 0.089 D_fake: 0.054 
(epoch: 15, iters: 7700, time: 0.036, data: 0.002) G_GAN: 0.577 G_L1: 6.009 D_real: 0.142 D_fake: 0.039 
(epoch: 15, iters: 7800, time: 0.034, data: 0.003) G_GAN: 0.870 G_L1: 4.525 D_real: 0.029 D_fake: 0.113 
(epoch: 15, iters: 7900, time: 0.039, data: 0.019) G_GAN: 0.508 G_L1: 4.018 D_real: 0.219 D_fake: 0.042 
(epoch: 15, iters: 8000, time: 0.117, data: 0.018) G_GAN: 0.824 G_L1: 4.293 D_real: 0.038 D_fake: 0.048 
saving the latest model (epoch 15, total_iters 680000)
(epoch: 15, iters: 8100, time: 0.039, data: 0.003) G_GAN: 1.219 G_L1: 6.365 D_real: 0.042 D_fake: 0.028 
(epoch: 15, iters: 8200, time: 0.039, data: 0.006) G_GAN: 0.714 G_L1: 4.804 D_real: 0.063 D_fake: 0.065 
(epoch: 15, iters: 8300, time: 0.039, data: 0.005) G_GAN: 0.668 G_L1: 4.076 D_real: 0.074 D_fake: 0.031 
(epoch: 15, iters: 8400, time: 0.040, data: 0.003) G_GAN: 0.573 G_L1: 5.231 D_real: 0.066 D_fake: 0.061 
(epoch: 15, iters: 8500, time: 0.037, data: 0.005) G_GAN: 0.550 G_L1: 5.545 D_real: 0.145 D_fake: 0.032 
(epoch: 15, iters: 8600, time: 0.040, data: 0.007) G_GAN: 0.711 G_L1: 5.166 D_real: 0.058 D_fake: 0.105 
(epoch: 15, iters: 8700, time: 0.037, data: 0.016) G_GAN: 0.754 G_L1: 6.034 D_real: 0.074 D_fake: 0.028 
(epoch: 15, iters: 8800, time: 0.044, data: 0.003) G_GAN: 0.766 G_L1: 5.508 D_real: 0.070 D_fake: 0.029 
(epoch: 15, iters: 8900, time: 0.042, data: 0.014) G_GAN: 0.793 G_L1: 5.046 D_real: 0.028 D_fake: 0.165 
(epoch: 15, iters: 9000, time: 0.039, data: 0.003) G_GAN: 0.792 G_L1: 5.339 D_real: 0.211 D_fake: 0.041 
(epoch: 15, iters: 9100, time: 0.037, data: 0.003) G_GAN: 1.035 G_L1: 5.748 D_real: 0.032 D_fake: 0.123 
(epoch: 15, iters: 9200, time: 0.036, data: 0.003) G_GAN: 0.749 G_L1: 4.153 D_real: 0.135 D_fake: 0.039 
(epoch: 15, iters: 9300, time: 0.039, data: 0.003) G_GAN: 1.110 G_L1: 5.198 D_real: 0.029 D_fake: 0.054 
(epoch: 15, iters: 9400, time: 0.039, data: 0.003) G_GAN: 0.567 G_L1: 4.841 D_real: 0.099 D_fake: 0.059 
(epoch: 15, iters: 9500, time: 0.043, data: 0.003) G_GAN: 0.564 G_L1: 5.977 D_real: 0.117 D_fake: 0.054 
(epoch: 15, iters: 9600, time: 0.039, data: 0.006) G_GAN: 0.972 G_L1: 5.573 D_real: 0.040 D_fake: 0.096 
(epoch: 15, iters: 9700, time: 0.037, data: 0.006) G_GAN: 0.993 G_L1: 5.387 D_real: 0.031 D_fake: 0.042 
(epoch: 15, iters: 9800, time: 0.042, data: 0.003) G_GAN: 0.982 G_L1: 5.335 D_real: 0.033 D_fake: 0.054 
(epoch: 15, iters: 9900, time: 0.036, data: 0.003) G_GAN: 0.689 G_L1: 5.262 D_real: 0.052 D_fake: 0.159 
(epoch: 15, iters: 10000, time: 0.085, data: 0.004) G_GAN: 0.752 G_L1: 4.802 D_real: 0.113 D_fake: 0.038 
(epoch: 15, iters: 10100, time: 0.040, data: 0.003) G_GAN: 0.447 G_L1: 6.098 D_real: 0.326 D_fake: 0.027 
(epoch: 15, iters: 10200, time: 0.039, data: 0.004) G_GAN: 0.770 G_L1: 5.297 D_real: 0.116 D_fake: 0.043 
(epoch: 15, iters: 10300, time: 0.039, data: 0.004) G_GAN: 0.544 G_L1: 4.972 D_real: 0.203 D_fake: 0.032 
(epoch: 15, iters: 10400, time: 0.034, data: 0.014) G_GAN: 0.884 G_L1: 4.978 D_real: 0.030 D_fake: 0.099 
(epoch: 15, iters: 10500, time: 0.037, data: 0.003) G_GAN: 1.045 G_L1: 5.008 D_real: 0.043 D_fake: 0.125 
(epoch: 15, iters: 10600, time: 0.041, data: 0.003) G_GAN: 1.017 G_L1: 4.534 D_real: 0.062 D_fake: 0.043 
(epoch: 15, iters: 10700, time: 0.040, data: 0.003) G_GAN: 0.927 G_L1: 4.529 D_real: 0.031 D_fake: 0.042 
(epoch: 15, iters: 10800, time: 0.038, data: 0.002) G_GAN: 1.475 G_L1: 4.935 D_real: 0.092 D_fake: 0.128 
(epoch: 15, iters: 10900, time: 0.040, data: 0.004) G_GAN: 1.097 G_L1: 6.469 D_real: 0.051 D_fake: 0.106 
(epoch: 15, iters: 11000, time: 0.040, data: 0.003) G_GAN: 1.032 G_L1: 4.452 D_real: 0.038 D_fake: 0.027 
(epoch: 15, iters: 11100, time: 0.042, data: 0.003) G_GAN: 0.829 G_L1: 4.834 D_real: 0.042 D_fake: 0.055 
(epoch: 15, iters: 11200, time: 0.040, data: 0.003) G_GAN: 0.902 G_L1: 4.555 D_real: 0.068 D_fake: 0.030 
(epoch: 15, iters: 11300, time: 0.039, data: 0.014) G_GAN: 0.652 G_L1: 4.786 D_real: 0.102 D_fake: 0.028 
(epoch: 15, iters: 11400, time: 0.039, data: 0.005) G_GAN: 0.880 G_L1: 5.776 D_real: 0.059 D_fake: 0.031 
(epoch: 15, iters: 11500, time: 0.041, data: 0.015) G_GAN: 0.832 G_L1: 5.522 D_real: 0.031 D_fake: 0.106 
(epoch: 15, iters: 11600, time: 0.032, data: 0.003) G_GAN: 0.770 G_L1: 5.464 D_real: 0.044 D_fake: 0.130 
(epoch: 15, iters: 11700, time: 0.040, data: 0.018) G_GAN: 1.177 G_L1: 4.636 D_real: 0.106 D_fake: 0.083 
(epoch: 15, iters: 11800, time: 0.041, data: 0.010) G_GAN: 0.746 G_L1: 5.463 D_real: 0.077 D_fake: 0.046 
(epoch: 15, iters: 11900, time: 0.036, data: 0.003) G_GAN: 0.833 G_L1: 5.289 D_real: 0.048 D_fake: 0.080 
(epoch: 15, iters: 12000, time: 0.091, data: 0.011) G_GAN: 0.915 G_L1: 6.111 D_real: 0.058 D_fake: 0.358 
(epoch: 15, iters: 12100, time: 0.042, data: 0.003) G_GAN: 1.106 G_L1: 6.254 D_real: 0.035 D_fake: 0.043 
(epoch: 15, iters: 12200, time: 0.038, data: 0.005) G_GAN: 0.805 G_L1: 4.869 D_real: 0.036 D_fake: 0.095 
(epoch: 15, iters: 12300, time: 0.040, data: 0.003) G_GAN: 0.766 G_L1: 4.210 D_real: 0.070 D_fake: 0.029 
(epoch: 15, iters: 12400, time: 0.040, data: 0.003) G_GAN: 0.735 G_L1: 5.329 D_real: 0.075 D_fake: 0.045 
(epoch: 15, iters: 12500, time: 0.037, data: 0.003) G_GAN: 0.688 G_L1: 5.585 D_real: 0.056 D_fake: 0.160 
(epoch: 15, iters: 12600, time: 0.042, data: 0.004) G_GAN: 0.753 G_L1: 5.486 D_real: 0.066 D_fake: 0.095 
(epoch: 15, iters: 12700, time: 0.037, data: 0.011) G_GAN: 0.849 G_L1: 4.259 D_real: 0.028 D_fake: 0.048 
(epoch: 15, iters: 12800, time: 0.039, data: 0.003) G_GAN: 0.848 G_L1: 6.283 D_real: 0.053 D_fake: 0.027 
(epoch: 15, iters: 12900, time: 0.041, data: 0.003) G_GAN: 0.812 G_L1: 5.123 D_real: 0.035 D_fake: 0.043 
(epoch: 15, iters: 13000, time: 0.040, data: 0.003) G_GAN: 0.859 G_L1: 5.342 D_real: 0.052 D_fake: 0.106 
saving the latest model (epoch 15, total_iters 685000)
(epoch: 15, iters: 13100, time: 0.041, data: 0.003) G_GAN: 0.899 G_L1: 5.055 D_real: 0.031 D_fake: 0.040 
(epoch: 15, iters: 13200, time: 0.042, data: 0.006) G_GAN: 0.616 G_L1: 4.860 D_real: 0.236 D_fake: 0.035 
(epoch: 15, iters: 13300, time: 0.039, data: 0.004) G_GAN: 0.681 G_L1: 4.974 D_real: 0.238 D_fake: 0.037 
(epoch: 15, iters: 13400, time: 0.040, data: 0.003) G_GAN: 0.545 G_L1: 5.008 D_real: 0.179 D_fake: 0.051 
(epoch: 15, iters: 13500, time: 0.040, data: 0.003) G_GAN: 0.590 G_L1: 4.921 D_real: 0.061 D_fake: 0.061 
(epoch: 15, iters: 13600, time: 0.043, data: 0.003) G_GAN: 0.920 G_L1: 4.996 D_real: 0.039 D_fake: 0.042 
(epoch: 15, iters: 13700, time: 0.038, data: 0.004) G_GAN: 1.117 G_L1: 7.124 D_real: 0.030 D_fake: 0.038 
(epoch: 15, iters: 13800, time: 0.037, data: 0.004) G_GAN: 0.741 G_L1: 5.722 D_real: 0.105 D_fake: 0.025 
(epoch: 15, iters: 13900, time: 0.042, data: 0.003) G_GAN: 1.067 G_L1: 4.654 D_real: 0.052 D_fake: 0.119 
(epoch: 15, iters: 14000, time: 0.095, data: 0.004) G_GAN: 0.661 G_L1: 5.617 D_real: 0.048 D_fake: 0.111 
(epoch: 15, iters: 14100, time: 0.043, data: 0.003) G_GAN: 0.765 G_L1: 4.616 D_real: 0.098 D_fake: 0.045 
(epoch: 15, iters: 14200, time: 0.035, data: 0.003) G_GAN: 0.618 G_L1: 5.224 D_real: 0.143 D_fake: 0.065 
(epoch: 15, iters: 14300, time: 0.042, data: 0.010) G_GAN: 1.117 G_L1: 4.349 D_real: 0.031 D_fake: 0.062 
(epoch: 15, iters: 14400, time: 0.036, data: 0.003) G_GAN: 0.735 G_L1: 4.872 D_real: 0.178 D_fake: 0.061 
(epoch: 15, iters: 14500, time: 0.035, data: 0.004) G_GAN: 1.168 G_L1: 6.584 D_real: 0.055 D_fake: 0.085 
(epoch: 15, iters: 14600, time: 0.038, data: 0.011) G_GAN: 0.750 G_L1: 6.583 D_real: 0.096 D_fake: 0.034 
(epoch: 15, iters: 14700, time: 0.037, data: 0.003) G_GAN: 0.801 G_L1: 5.514 D_real: 0.027 D_fake: 0.096 
(epoch: 15, iters: 14800, time: 0.036, data: 0.004) G_GAN: 0.661 G_L1: 6.311 D_real: 0.217 D_fake: 0.027 
(epoch: 15, iters: 14900, time: 0.037, data: 0.003) G_GAN: 0.731 G_L1: 5.522 D_real: 0.076 D_fake: 0.041 
(epoch: 15, iters: 15000, time: 0.043, data: 0.004) G_GAN: 1.199 G_L1: 4.731 D_real: 0.082 D_fake: 0.132 
(epoch: 15, iters: 15100, time: 0.041, data: 0.005) G_GAN: 0.610 G_L1: 5.105 D_real: 0.149 D_fake: 0.043 
(epoch: 15, iters: 15200, time: 0.039, data: 0.003) G_GAN: 1.134 G_L1: 6.012 D_real: 0.050 D_fake: 0.149 
(epoch: 15, iters: 15300, time: 0.038, data: 0.006) G_GAN: 0.743 G_L1: 4.985 D_real: 0.125 D_fake: 0.035 
(epoch: 15, iters: 15400, time: 0.042, data: 0.004) G_GAN: 0.847 G_L1: 5.584 D_real: 0.045 D_fake: 0.065 
(epoch: 15, iters: 15500, time: 0.041, data: 0.016) G_GAN: 0.868 G_L1: 6.209 D_real: 0.056 D_fake: 0.030 
(epoch: 15, iters: 15600, time: 0.041, data: 0.004) G_GAN: 0.737 G_L1: 5.442 D_real: 0.056 D_fake: 0.100 
(epoch: 15, iters: 15700, time: 0.039, data: 0.003) G_GAN: 0.934 G_L1: 4.585 D_real: 0.041 D_fake: 0.132 
(epoch: 15, iters: 15800, time: 0.043, data: 0.003) G_GAN: 0.734 G_L1: 5.514 D_real: 0.078 D_fake: 0.056 
(epoch: 15, iters: 15900, time: 0.041, data: 0.004) G_GAN: 1.041 G_L1: 4.484 D_real: 0.074 D_fake: 0.136 
(epoch: 15, iters: 16000, time: 0.063, data: 0.003) G_GAN: 0.970 G_L1: 5.265 D_real: 0.049 D_fake: 0.033 
(epoch: 15, iters: 16100, time: 0.042, data: 0.002) G_GAN: 0.703 G_L1: 4.567 D_real: 0.109 D_fake: 0.031 
(epoch: 15, iters: 16200, time: 0.040, data: 0.003) G_GAN: 0.703 G_L1: 6.338 D_real: 0.118 D_fake: 0.035 
(epoch: 15, iters: 16300, time: 0.042, data: 0.003) G_GAN: 1.041 G_L1: 5.444 D_real: 0.038 D_fake: 0.045 
(epoch: 15, iters: 16400, time: 0.041, data: 0.003) G_GAN: 1.357 G_L1: 5.894 D_real: 0.119 D_fake: 0.333 
(epoch: 15, iters: 16500, time: 0.044, data: 0.009) G_GAN: 0.814 G_L1: 4.675 D_real: 0.048 D_fake: 0.050 
(epoch: 15, iters: 16600, time: 0.036, data: 0.003) G_GAN: 1.045 G_L1: 5.228 D_real: 0.035 D_fake: 0.063 
(epoch: 15, iters: 16700, time: 0.039, data: 0.016) G_GAN: 0.829 G_L1: 5.087 D_real: 0.069 D_fake: 0.045 
(epoch: 15, iters: 16800, time: 0.035, data: 0.017) G_GAN: 1.086 G_L1: 5.931 D_real: 0.037 D_fake: 0.076 
(epoch: 15, iters: 16900, time: 0.039, data: 0.018) G_GAN: 0.970 G_L1: 5.692 D_real: 0.034 D_fake: 0.052 
(epoch: 15, iters: 17000, time: 0.039, data: 0.009) G_GAN: 0.853 G_L1: 5.374 D_real: 0.038 D_fake: 0.081 
(epoch: 15, iters: 17100, time: 0.042, data: 0.003) G_GAN: 0.788 G_L1: 4.197 D_real: 0.193 D_fake: 0.027 
(epoch: 15, iters: 17200, time: 0.040, data: 0.010) G_GAN: 0.775 G_L1: 4.621 D_real: 0.056 D_fake: 0.093 
(epoch: 15, iters: 17300, time: 0.041, data: 0.002) G_GAN: 1.024 G_L1: 4.709 D_real: 0.044 D_fake: 0.079 
(epoch: 15, iters: 17400, time: 0.038, data: 0.009) G_GAN: 0.701 G_L1: 4.650 D_real: 0.078 D_fake: 0.063 
(epoch: 15, iters: 17500, time: 0.037, data: 0.003) G_GAN: 0.809 G_L1: 4.962 D_real: 0.058 D_fake: 0.033 
(epoch: 15, iters: 17600, time: 0.044, data: 0.013) G_GAN: 0.937 G_L1: 4.700 D_real: 0.027 D_fake: 0.036 
(epoch: 15, iters: 17700, time: 0.037, data: 0.006) G_GAN: 0.681 G_L1: 6.138 D_real: 0.067 D_fake: 0.077 
(epoch: 15, iters: 17800, time: 0.040, data: 0.006) G_GAN: 0.694 G_L1: 5.729 D_real: 0.067 D_fake: 0.116 
(epoch: 15, iters: 17900, time: 0.041, data: 0.004) G_GAN: 0.905 G_L1: 4.747 D_real: 0.039 D_fake: 0.095 
(epoch: 15, iters: 18000, time: 0.065, data: 0.003) G_GAN: 1.069 G_L1: 5.085 D_real: 0.033 D_fake: 0.028 
saving the latest model (epoch 15, total_iters 690000)
(epoch: 15, iters: 18100, time: 0.040, data: 0.003) G_GAN: 0.759 G_L1: 5.222 D_real: 0.084 D_fake: 0.034 
(epoch: 15, iters: 18200, time: 0.040, data: 0.004) G_GAN: 0.644 G_L1: 5.832 D_real: 0.061 D_fake: 0.130 
(epoch: 15, iters: 18300, time: 0.042, data: 0.003) G_GAN: 0.785 G_L1: 5.625 D_real: 0.033 D_fake: 0.106 
(epoch: 15, iters: 18400, time: 0.043, data: 0.004) G_GAN: 0.868 G_L1: 5.370 D_real: 0.045 D_fake: 0.025 
(epoch: 15, iters: 18500, time: 0.040, data: 0.004) G_GAN: 0.721 G_L1: 4.328 D_real: 0.052 D_fake: 0.092 
(epoch: 15, iters: 18600, time: 0.041, data: 0.003) G_GAN: 0.751 G_L1: 5.036 D_real: 0.046 D_fake: 0.127 
(epoch: 15, iters: 18700, time: 0.042, data: 0.003) G_GAN: 0.761 G_L1: 5.970 D_real: 0.062 D_fake: 0.045 
(epoch: 15, iters: 18800, time: 0.039, data: 0.011) G_GAN: 0.840 G_L1: 6.095 D_real: 0.094 D_fake: 0.041 
(epoch: 15, iters: 18900, time: 0.043, data: 0.003) G_GAN: 1.129 G_L1: 4.902 D_real: 0.047 D_fake: 0.030 
(epoch: 15, iters: 19000, time: 0.041, data: 0.003) G_GAN: 0.683 G_L1: 4.974 D_real: 0.083 D_fake: 0.042 
(epoch: 15, iters: 19100, time: 0.038, data: 0.003) G_GAN: 0.928 G_L1: 4.884 D_real: 0.034 D_fake: 0.096 
(epoch: 15, iters: 19200, time: 0.034, data: 0.004) G_GAN: 0.955 G_L1: 5.640 D_real: 0.025 D_fake: 0.050 
(epoch: 15, iters: 19300, time: 0.038, data: 0.010) G_GAN: 0.955 G_L1: 5.183 D_real: 0.037 D_fake: 0.044 
(epoch: 15, iters: 19400, time: 0.043, data: 0.003) G_GAN: 0.635 G_L1: 5.585 D_real: 0.170 D_fake: 0.025 
(epoch: 15, iters: 19500, time: 0.036, data: 0.003) G_GAN: 0.698 G_L1: 4.894 D_real: 0.058 D_fake: 0.040 
(epoch: 15, iters: 19600, time: 0.039, data: 0.003) G_GAN: 0.645 G_L1: 4.673 D_real: 0.135 D_fake: 0.038 
(epoch: 15, iters: 19700, time: 0.039, data: 0.005) G_GAN: 0.721 G_L1: 5.333 D_real: 0.068 D_fake: 0.058 
(epoch: 15, iters: 19800, time: 0.037, data: 0.003) G_GAN: 0.630 G_L1: 5.466 D_real: 0.159 D_fake: 0.036 
(epoch: 15, iters: 19900, time: 0.039, data: 0.004) G_GAN: 1.102 G_L1: 5.158 D_real: 0.032 D_fake: 0.063 
(epoch: 15, iters: 20000, time: 0.085, data: 0.011) G_GAN: 0.844 G_L1: 5.655 D_real: 0.075 D_fake: 0.032 
(epoch: 15, iters: 20100, time: 0.040, data: 0.003) G_GAN: 0.824 G_L1: 5.152 D_real: 0.051 D_fake: 0.071 
(epoch: 15, iters: 20200, time: 0.037, data: 0.003) G_GAN: 0.733 G_L1: 4.759 D_real: 0.055 D_fake: 0.046 
(epoch: 15, iters: 20300, time: 0.044, data: 0.003) G_GAN: 0.729 G_L1: 5.504 D_real: 0.067 D_fake: 0.066 
(epoch: 15, iters: 20400, time: 0.043, data: 0.003) G_GAN: 0.746 G_L1: 5.299 D_real: 0.127 D_fake: 0.028 
(epoch: 15, iters: 20500, time: 0.042, data: 0.003) G_GAN: 0.963 G_L1: 5.152 D_real: 0.048 D_fake: 0.038 
(epoch: 15, iters: 20600, time: 0.039, data: 0.003) G_GAN: 0.771 G_L1: 6.137 D_real: 0.047 D_fake: 0.088 
(epoch: 15, iters: 20700, time: 0.039, data: 0.003) G_GAN: 1.025 G_L1: 6.695 D_real: 0.041 D_fake: 0.078 
(epoch: 15, iters: 20800, time: 0.040, data: 0.004) G_GAN: 0.935 G_L1: 6.908 D_real: 0.027 D_fake: 0.160 
(epoch: 15, iters: 20900, time: 0.043, data: 0.004) G_GAN: 0.970 G_L1: 4.580 D_real: 0.034 D_fake: 0.045 
(epoch: 15, iters: 21000, time: 0.042, data: 0.003) G_GAN: 0.695 G_L1: 4.758 D_real: 0.207 D_fake: 0.034 
(epoch: 15, iters: 21100, time: 0.041, data: 0.003) G_GAN: 0.808 G_L1: 5.338 D_real: 0.069 D_fake: 0.052 
(epoch: 15, iters: 21200, time: 0.042, data: 0.003) G_GAN: 1.242 G_L1: 4.996 D_real: 0.036 D_fake: 0.032 
(epoch: 15, iters: 21300, time: 0.037, data: 0.004) G_GAN: 0.676 G_L1: 4.370 D_real: 0.064 D_fake: 0.027 
(epoch: 15, iters: 21400, time: 0.039, data: 0.006) G_GAN: 0.798 G_L1: 4.095 D_real: 0.039 D_fake: 0.078 
(epoch: 15, iters: 21500, time: 0.041, data: 0.003) G_GAN: 0.754 G_L1: 5.228 D_real: 0.031 D_fake: 0.100 
(epoch: 15, iters: 21600, time: 0.040, data: 0.004) G_GAN: 0.862 G_L1: 4.400 D_real: 0.061 D_fake: 0.052 
(epoch: 15, iters: 21700, time: 0.043, data: 0.003) G_GAN: 0.687 G_L1: 5.543 D_real: 0.047 D_fake: 0.117 
(epoch: 15, iters: 21800, time: 0.040, data: 0.003) G_GAN: 1.002 G_L1: 5.070 D_real: 0.037 D_fake: 0.044 
(epoch: 15, iters: 21900, time: 0.035, data: 0.016) G_GAN: 0.784 G_L1: 4.970 D_real: 0.047 D_fake: 0.032 
(epoch: 15, iters: 22000, time: 0.089, data: 0.010) G_GAN: 0.534 G_L1: 5.329 D_real: 0.095 D_fake: 0.085 
(epoch: 15, iters: 22100, time: 0.037, data: 0.003) G_GAN: 0.884 G_L1: 4.955 D_real: 0.040 D_fake: 0.200 
(epoch: 15, iters: 22200, time: 0.040, data: 0.003) G_GAN: 0.792 G_L1: 5.769 D_real: 0.088 D_fake: 0.035 
(epoch: 15, iters: 22300, time: 0.039, data: 0.004) G_GAN: 0.832 G_L1: 4.907 D_real: 0.054 D_fake: 0.026 
(epoch: 15, iters: 22400, time: 0.034, data: 0.005) G_GAN: 0.597 G_L1: 5.655 D_real: 0.156 D_fake: 0.043 
(epoch: 15, iters: 22500, time: 0.042, data: 0.004) G_GAN: 0.736 G_L1: 5.038 D_real: 0.053 D_fake: 0.100 
(epoch: 15, iters: 22600, time: 0.042, data: 0.004) G_GAN: 0.598 G_L1: 4.843 D_real: 0.105 D_fake: 0.029 
(epoch: 15, iters: 22700, time: 0.043, data: 0.004) G_GAN: 0.942 G_L1: 4.461 D_real: 0.038 D_fake: 0.102 
(epoch: 15, iters: 22800, time: 0.042, data: 0.004) G_GAN: 0.895 G_L1: 5.627 D_real: 0.040 D_fake: 0.129 
(epoch: 15, iters: 22900, time: 0.042, data: 0.004) G_GAN: 1.103 G_L1: 5.143 D_real: 0.045 D_fake: 0.093 
(epoch: 15, iters: 23000, time: 0.038, data: 0.003) G_GAN: 0.936 G_L1: 5.073 D_real: 0.031 D_fake: 0.091 
saving the latest model (epoch 15, total_iters 695000)
(epoch: 15, iters: 23100, time: 0.044, data: 0.003) G_GAN: 0.834 G_L1: 5.536 D_real: 0.053 D_fake: 0.056 
(epoch: 15, iters: 23200, time: 0.040, data: 0.011) G_GAN: 1.023 G_L1: 5.820 D_real: 0.034 D_fake: 0.027 
(epoch: 15, iters: 23300, time: 0.041, data: 0.003) G_GAN: 0.331 G_L1: 5.063 D_real: 0.271 D_fake: 0.030 
(epoch: 15, iters: 23400, time: 0.041, data: 0.012) G_GAN: 0.907 G_L1: 5.328 D_real: 0.037 D_fake: 0.210 
(epoch: 15, iters: 23500, time: 0.037, data: 0.003) G_GAN: 1.063 G_L1: 4.836 D_real: 0.032 D_fake: 0.044 
(epoch: 15, iters: 23600, time: 0.044, data: 0.003) G_GAN: 0.899 G_L1: 4.889 D_real: 0.033 D_fake: 0.048 
(epoch: 15, iters: 23700, time: 0.039, data: 0.003) G_GAN: 0.823 G_L1: 6.541 D_real: 0.138 D_fake: 0.039 
(epoch: 15, iters: 23800, time: 0.037, data: 0.004) G_GAN: 0.672 G_L1: 5.173 D_real: 0.391 D_fake: 0.050 
(epoch: 15, iters: 23900, time: 0.036, data: 0.003) G_GAN: 0.733 G_L1: 5.474 D_real: 0.186 D_fake: 0.028 
(epoch: 15, iters: 24000, time: 0.094, data: 0.003) G_GAN: 0.764 G_L1: 4.694 D_real: 0.105 D_fake: 0.079 
(epoch: 15, iters: 24100, time: 0.042, data: 0.002) G_GAN: 0.788 G_L1: 4.150 D_real: 0.082 D_fake: 0.050 
(epoch: 15, iters: 24200, time: 0.041, data: 0.003) G_GAN: 1.097 G_L1: 6.238 D_real: 0.058 D_fake: 0.114 
(epoch: 15, iters: 24300, time: 0.041, data: 0.003) G_GAN: 0.727 G_L1: 6.251 D_real: 0.055 D_fake: 0.054 
(epoch: 15, iters: 24400, time: 0.038, data: 0.003) G_GAN: 0.842 G_L1: 4.307 D_real: 0.025 D_fake: 0.050 
(epoch: 15, iters: 24500, time: 0.042, data: 0.004) G_GAN: 0.759 G_L1: 5.200 D_real: 0.126 D_fake: 0.054 
(epoch: 15, iters: 24600, time: 0.042, data: 0.003) G_GAN: 0.948 G_L1: 5.600 D_real: 0.033 D_fake: 0.045 
(epoch: 15, iters: 24700, time: 0.041, data: 0.003) G_GAN: 0.840 G_L1: 4.890 D_real: 0.049 D_fake: 0.028 
(epoch: 15, iters: 24800, time: 0.040, data: 0.003) G_GAN: 1.003 G_L1: 6.751 D_real: 0.045 D_fake: 0.043 
(epoch: 15, iters: 24900, time: 0.035, data: 0.003) G_GAN: 0.668 G_L1: 5.292 D_real: 0.093 D_fake: 0.070 
(epoch: 15, iters: 25000, time: 0.042, data: 0.003) G_GAN: 0.769 G_L1: 4.771 D_real: 0.107 D_fake: 0.023 
(epoch: 15, iters: 25100, time: 0.037, data: 0.003) G_GAN: 0.748 G_L1: 4.781 D_real: 0.119 D_fake: 0.026 
(epoch: 15, iters: 25200, time: 0.040, data: 0.003) G_GAN: 0.575 G_L1: 6.124 D_real: 0.118 D_fake: 0.026 
(epoch: 15, iters: 25300, time: 0.037, data: 0.004) G_GAN: 0.989 G_L1: 4.460 D_real: 0.050 D_fake: 0.035 
(epoch: 15, iters: 25400, time: 0.041, data: 0.003) G_GAN: 0.952 G_L1: 5.589 D_real: 0.034 D_fake: 0.100 
(epoch: 15, iters: 25500, time: 0.039, data: 0.002) G_GAN: 0.540 G_L1: 5.399 D_real: 0.146 D_fake: 0.082 
(epoch: 15, iters: 25600, time: 0.039, data: 0.003) G_GAN: 1.041 G_L1: 6.425 D_real: 0.057 D_fake: 0.122 
(epoch: 15, iters: 25700, time: 0.040, data: 0.003) G_GAN: 0.534 G_L1: 4.882 D_real: 0.079 D_fake: 0.034 
(epoch: 15, iters: 25800, time: 0.041, data: 0.003) G_GAN: 0.691 G_L1: 5.272 D_real: 0.149 D_fake: 0.052 
(epoch: 15, iters: 25900, time: 0.045, data: 0.005) G_GAN: 0.574 G_L1: 5.013 D_real: 0.284 D_fake: 0.037 
(epoch: 15, iters: 26000, time: 0.087, data: 0.010) G_GAN: 0.722 G_L1: 4.579 D_real: 0.253 D_fake: 0.028 
(epoch: 15, iters: 26100, time: 0.039, data: 0.003) G_GAN: 1.082 G_L1: 4.604 D_real: 0.024 D_fake: 0.051 
(epoch: 15, iters: 26200, time: 0.037, data: 0.005) G_GAN: 0.704 G_L1: 4.432 D_real: 0.115 D_fake: 0.055 
(epoch: 15, iters: 26300, time: 0.035, data: 0.003) G_GAN: 0.958 G_L1: 6.211 D_real: 0.056 D_fake: 0.040 
(epoch: 15, iters: 26400, time: 0.038, data: 0.004) G_GAN: 0.762 G_L1: 6.165 D_real: 0.119 D_fake: 0.034 
(epoch: 15, iters: 26500, time: 0.036, data: 0.003) G_GAN: 0.683 G_L1: 5.305 D_real: 0.171 D_fake: 0.029 
(epoch: 15, iters: 26600, time: 0.042, data: 0.003) G_GAN: 1.004 G_L1: 4.837 D_real: 0.049 D_fake: 0.054 
(epoch: 15, iters: 26700, time: 0.045, data: 0.003) G_GAN: 0.800 G_L1: 5.607 D_real: 0.080 D_fake: 0.034 
(epoch: 15, iters: 26800, time: 0.037, data: 0.008) G_GAN: 0.995 G_L1: 5.780 D_real: 0.038 D_fake: 0.080 
(epoch: 15, iters: 26900, time: 0.038, data: 0.004) G_GAN: 0.928 G_L1: 4.722 D_real: 0.042 D_fake: 0.040 
(epoch: 15, iters: 27000, time: 0.043, data: 0.004) G_GAN: 0.992 G_L1: 5.068 D_real: 0.039 D_fake: 0.043 
(epoch: 15, iters: 27100, time: 0.038, data: 0.003) G_GAN: 0.731 G_L1: 4.551 D_real: 0.060 D_fake: 0.045 
(epoch: 15, iters: 27200, time: 0.036, data: 0.003) G_GAN: 1.032 G_L1: 5.353 D_real: 0.060 D_fake: 0.101 
(epoch: 15, iters: 27300, time: 0.038, data: 0.003) G_GAN: 0.766 G_L1: 6.117 D_real: 0.081 D_fake: 0.051 
(epoch: 15, iters: 27400, time: 0.043, data: 0.004) G_GAN: 0.624 G_L1: 5.434 D_real: 0.084 D_fake: 0.061 
(epoch: 15, iters: 27500, time: 0.040, data: 0.003) G_GAN: 0.834 G_L1: 4.863 D_real: 0.068 D_fake: 0.032 
(epoch: 15, iters: 27600, time: 0.039, data: 0.003) G_GAN: 0.764 G_L1: 5.860 D_real: 0.048 D_fake: 0.045 
(epoch: 15, iters: 27700, time: 0.039, data: 0.004) G_GAN: 0.684 G_L1: 6.056 D_real: 0.035 D_fake: 0.056 
(epoch: 15, iters: 27800, time: 0.042, data: 0.003) G_GAN: 0.923 G_L1: 5.402 D_real: 0.033 D_fake: 0.028 
(epoch: 15, iters: 27900, time: 0.040, data: 0.005) G_GAN: 0.753 G_L1: 6.260 D_real: 0.062 D_fake: 0.029 
(epoch: 15, iters: 28000, time: 0.082, data: 0.003) G_GAN: 1.070 G_L1: 5.245 D_real: 0.038 D_fake: 0.042 
saving the latest model (epoch 15, total_iters 700000)
(epoch: 15, iters: 28100, time: 0.043, data: 0.003) G_GAN: 0.902 G_L1: 5.069 D_real: 0.036 D_fake: 0.080 
(epoch: 15, iters: 28200, time: 0.042, data: 0.003) G_GAN: 0.830 G_L1: 5.908 D_real: 0.059 D_fake: 0.052 
(epoch: 15, iters: 28300, time: 0.039, data: 0.013) G_GAN: 0.858 G_L1: 4.762 D_real: 0.072 D_fake: 0.033 
(epoch: 15, iters: 28400, time: 0.036, data: 0.003) G_GAN: 0.849 G_L1: 5.874 D_real: 0.036 D_fake: 0.063 
(epoch: 15, iters: 28500, time: 0.039, data: 0.003) G_GAN: 0.921 G_L1: 4.393 D_real: 0.040 D_fake: 0.082 
(epoch: 15, iters: 28600, time: 0.041, data: 0.008) G_GAN: 0.955 G_L1: 5.135 D_real: 0.038 D_fake: 0.047 
(epoch: 15, iters: 28700, time: 0.039, data: 0.009) G_GAN: 0.780 G_L1: 4.891 D_real: 0.055 D_fake: 0.065 
(epoch: 15, iters: 28800, time: 0.041, data: 0.014) G_GAN: 0.835 G_L1: 4.594 D_real: 0.210 D_fake: 0.080 
(epoch: 15, iters: 28900, time: 0.038, data: 0.003) G_GAN: 0.633 G_L1: 4.117 D_real: 0.140 D_fake: 0.031 
(epoch: 15, iters: 29000, time: 0.041, data: 0.003) G_GAN: 0.761 G_L1: 5.993 D_real: 0.033 D_fake: 0.023 
(epoch: 15, iters: 29100, time: 0.039, data: 0.020) G_GAN: 0.740 G_L1: 4.764 D_real: 0.122 D_fake: 0.046 
(epoch: 15, iters: 29200, time: 0.042, data: 0.004) G_GAN: 0.826 G_L1: 6.321 D_real: 0.039 D_fake: 0.162 
(epoch: 15, iters: 29300, time: 0.040, data: 0.004) G_GAN: 0.812 G_L1: 4.952 D_real: 0.068 D_fake: 0.029 
(epoch: 15, iters: 29400, time: 0.044, data: 0.005) G_GAN: 0.361 G_L1: 4.851 D_real: 0.281 D_fake: 0.035 
(epoch: 15, iters: 29500, time: 0.037, data: 0.003) G_GAN: 0.922 G_L1: 4.826 D_real: 0.036 D_fake: 0.082 
(epoch: 15, iters: 29600, time: 0.038, data: 0.003) G_GAN: 0.693 G_L1: 6.166 D_real: 0.092 D_fake: 0.030 
(epoch: 15, iters: 29700, time: 0.039, data: 0.003) G_GAN: 0.927 G_L1: 5.522 D_real: 0.028 D_fake: 0.089 
(epoch: 15, iters: 29800, time: 0.041, data: 0.004) G_GAN: 1.193 G_L1: 6.852 D_real: 0.086 D_fake: 0.072 
(epoch: 15, iters: 29900, time: 0.038, data: 0.006) G_GAN: 0.872 G_L1: 4.843 D_real: 0.042 D_fake: 0.074 
(epoch: 15, iters: 30000, time: 0.068, data: 0.003) G_GAN: 0.904 G_L1: 5.338 D_real: 0.049 D_fake: 0.026 
(epoch: 15, iters: 30100, time: 0.041, data: 0.005) G_GAN: 0.568 G_L1: 5.964 D_real: 0.145 D_fake: 0.080 
(epoch: 15, iters: 30200, time: 0.038, data: 0.003) G_GAN: 0.908 G_L1: 6.419 D_real: 0.042 D_fake: 0.047 
(epoch: 15, iters: 30300, time: 0.044, data: 0.003) G_GAN: 0.943 G_L1: 5.059 D_real: 0.089 D_fake: 0.026 
(epoch: 15, iters: 30400, time: 0.036, data: 0.004) G_GAN: 0.840 G_L1: 4.599 D_real: 0.108 D_fake: 0.034 
(epoch: 15, iters: 30500, time: 0.042, data: 0.003) G_GAN: 0.691 G_L1: 5.299 D_real: 0.147 D_fake: 0.035 
(epoch: 15, iters: 30600, time: 0.041, data: 0.003) G_GAN: 1.068 G_L1: 5.542 D_real: 0.029 D_fake: 0.088 
(epoch: 15, iters: 30700, time: 0.042, data: 0.003) G_GAN: 0.808 G_L1: 4.421 D_real: 0.094 D_fake: 0.037 
(epoch: 15, iters: 30800, time: 0.040, data: 0.003) G_GAN: 0.926 G_L1: 4.170 D_real: 0.053 D_fake: 0.052 
(epoch: 15, iters: 30900, time: 0.040, data: 0.004) G_GAN: 0.995 G_L1: 6.152 D_real: 0.052 D_fake: 0.185 
(epoch: 15, iters: 31000, time: 0.040, data: 0.003) G_GAN: 0.769 G_L1: 5.518 D_real: 0.042 D_fake: 0.069 
(epoch: 15, iters: 31100, time: 0.042, data: 0.010) G_GAN: 0.696 G_L1: 5.547 D_real: 0.074 D_fake: 0.062 
(epoch: 15, iters: 31200, time: 0.040, data: 0.004) G_GAN: 0.864 G_L1: 5.797 D_real: 0.031 D_fake: 0.102 
(epoch: 15, iters: 31300, time: 0.046, data: 0.005) G_GAN: 0.971 G_L1: 5.994 D_real: 0.032 D_fake: 0.030 
(epoch: 15, iters: 31400, time: 0.043, data: 0.003) G_GAN: 1.038 G_L1: 5.825 D_real: 0.035 D_fake: 0.027 
(epoch: 15, iters: 31500, time: 0.041, data: 0.010) G_GAN: 0.864 G_L1: 4.635 D_real: 0.056 D_fake: 0.033 
(epoch: 15, iters: 31600, time: 0.038, data: 0.005) G_GAN: 1.050 G_L1: 4.594 D_real: 0.031 D_fake: 0.032 
(epoch: 15, iters: 31700, time: 0.042, data: 0.004) G_GAN: 1.031 G_L1: 4.945 D_real: 0.062 D_fake: 0.023 
(epoch: 15, iters: 31800, time: 0.041, data: 0.012) G_GAN: 0.581 G_L1: 5.179 D_real: 0.078 D_fake: 0.033 
(epoch: 15, iters: 31900, time: 0.038, data: 0.003) G_GAN: 0.991 G_L1: 5.028 D_real: 0.030 D_fake: 0.046 
(epoch: 15, iters: 32000, time: 0.066, data: 0.014) G_GAN: 0.830 G_L1: 5.791 D_real: 0.049 D_fake: 0.032 
(epoch: 15, iters: 32100, time: 0.040, data: 0.003) G_GAN: 0.822 G_L1: 4.194 D_real: 0.038 D_fake: 0.069 
(epoch: 15, iters: 32200, time: 0.042, data: 0.003) G_GAN: 0.553 G_L1: 5.831 D_real: 0.142 D_fake: 0.060 
(epoch: 15, iters: 32300, time: 0.035, data: 0.003) G_GAN: 0.683 G_L1: 4.606 D_real: 0.173 D_fake: 0.027 
(epoch: 15, iters: 32400, time: 0.042, data: 0.003) G_GAN: 0.735 G_L1: 5.914 D_real: 0.042 D_fake: 0.125 
(epoch: 15, iters: 32500, time: 0.043, data: 0.003) G_GAN: 0.511 G_L1: 5.049 D_real: 0.166 D_fake: 0.034 
(epoch: 15, iters: 32600, time: 0.037, data: 0.003) G_GAN: 1.203 G_L1: 5.072 D_real: 0.075 D_fake: 0.050 
(epoch: 15, iters: 32700, time: 0.037, data: 0.004) G_GAN: 0.891 G_L1: 5.169 D_real: 0.029 D_fake: 0.113 
(epoch: 15, iters: 32800, time: 0.042, data: 0.004) G_GAN: 0.489 G_L1: 6.053 D_real: 0.154 D_fake: 0.029 
(epoch: 15, iters: 32900, time: 0.037, data: 0.015) G_GAN: 1.017 G_L1: 6.911 D_real: 0.032 D_fake: 0.097 
(epoch: 15, iters: 33000, time: 0.040, data: 0.004) G_GAN: 0.781 G_L1: 4.301 D_real: 0.050 D_fake: 0.059 
saving the latest model (epoch 15, total_iters 705000)
(epoch: 15, iters: 33100, time: 0.038, data: 0.003) G_GAN: 0.671 G_L1: 5.317 D_real: 0.126 D_fake: 0.039 
(epoch: 15, iters: 33200, time: 0.038, data: 0.003) G_GAN: 0.802 G_L1: 4.947 D_real: 0.077 D_fake: 0.032 
(epoch: 15, iters: 33300, time: 0.039, data: 0.004) G_GAN: 0.819 G_L1: 4.140 D_real: 0.320 D_fake: 0.048 
(epoch: 15, iters: 33400, time: 0.042, data: 0.018) G_GAN: 0.803 G_L1: 5.128 D_real: 0.043 D_fake: 0.090 
(epoch: 15, iters: 33500, time: 0.040, data: 0.004) G_GAN: 1.035 G_L1: 6.185 D_real: 0.044 D_fake: 0.101 
(epoch: 15, iters: 33600, time: 0.041, data: 0.012) G_GAN: 0.728 G_L1: 5.014 D_real: 0.063 D_fake: 0.036 
(epoch: 15, iters: 33700, time: 0.038, data: 0.003) G_GAN: 0.809 G_L1: 4.771 D_real: 0.049 D_fake: 0.051 
(epoch: 15, iters: 33800, time: 0.041, data: 0.008) G_GAN: 0.705 G_L1: 4.675 D_real: 0.062 D_fake: 0.068 
(epoch: 15, iters: 33900, time: 0.043, data: 0.003) G_GAN: 0.816 G_L1: 4.487 D_real: 0.136 D_fake: 0.039 
(epoch: 15, iters: 34000, time: 0.090, data: 0.003) G_GAN: 0.975 G_L1: 5.150 D_real: 0.043 D_fake: 0.105 
(epoch: 15, iters: 34100, time: 0.038, data: 0.003) G_GAN: 0.779 G_L1: 5.232 D_real: 0.080 D_fake: 0.025 
(epoch: 15, iters: 34200, time: 0.044, data: 0.006) G_GAN: 0.506 G_L1: 5.945 D_real: 0.196 D_fake: 0.029 
(epoch: 15, iters: 34300, time: 0.042, data: 0.004) G_GAN: 0.759 G_L1: 4.955 D_real: 0.034 D_fake: 0.101 
(epoch: 15, iters: 34400, time: 0.034, data: 0.004) G_GAN: 0.723 G_L1: 4.797 D_real: 0.044 D_fake: 0.153 
(epoch: 15, iters: 34500, time: 0.039, data: 0.003) G_GAN: 0.800 G_L1: 5.466 D_real: 0.072 D_fake: 0.052 
(epoch: 15, iters: 34600, time: 0.041, data: 0.004) G_GAN: 0.976 G_L1: 6.171 D_real: 0.035 D_fake: 0.149 
(epoch: 15, iters: 34700, time: 0.042, data: 0.003) G_GAN: 0.504 G_L1: 5.882 D_real: 0.108 D_fake: 0.028 
(epoch: 15, iters: 34800, time: 0.039, data: 0.005) G_GAN: 0.825 G_L1: 5.142 D_real: 0.037 D_fake: 0.053 
(epoch: 15, iters: 34900, time: 0.039, data: 0.003) G_GAN: 0.791 G_L1: 4.043 D_real: 0.036 D_fake: 0.085 
(epoch: 15, iters: 35000, time: 0.042, data: 0.010) G_GAN: 0.847 G_L1: 5.611 D_real: 0.037 D_fake: 0.079 
(epoch: 15, iters: 35100, time: 0.040, data: 0.003) G_GAN: 0.730 G_L1: 4.686 D_real: 0.093 D_fake: 0.031 
(epoch: 15, iters: 35200, time: 0.042, data: 0.002) G_GAN: 0.695 G_L1: 4.930 D_real: 0.117 D_fake: 0.039 
(epoch: 15, iters: 35300, time: 0.037, data: 0.003) G_GAN: 0.703 G_L1: 4.991 D_real: 0.152 D_fake: 0.030 
(epoch: 15, iters: 35400, time: 0.038, data: 0.003) G_GAN: 0.866 G_L1: 4.768 D_real: 0.062 D_fake: 0.034 
(epoch: 15, iters: 35500, time: 0.042, data: 0.003) G_GAN: 1.135 G_L1: 5.744 D_real: 0.031 D_fake: 0.036 
(epoch: 15, iters: 35600, time: 0.042, data: 0.003) G_GAN: 0.804 G_L1: 5.605 D_real: 0.081 D_fake: 0.029 
(epoch: 15, iters: 35700, time: 0.042, data: 0.003) G_GAN: 0.938 G_L1: 5.834 D_real: 0.036 D_fake: 0.047 
(epoch: 15, iters: 35800, time: 0.040, data: 0.010) G_GAN: 0.545 G_L1: 4.928 D_real: 0.260 D_fake: 0.038 
(epoch: 15, iters: 35900, time: 0.037, data: 0.003) G_GAN: 0.790 G_L1: 4.574 D_real: 0.073 D_fake: 0.024 
(epoch: 15, iters: 36000, time: 0.090, data: 0.003) G_GAN: 0.681 G_L1: 5.227 D_real: 0.160 D_fake: 0.038 
(epoch: 15, iters: 36100, time: 0.043, data: 0.003) G_GAN: 0.575 G_L1: 5.796 D_real: 0.153 D_fake: 0.075 
(epoch: 15, iters: 36200, time: 0.039, data: 0.003) G_GAN: 0.863 G_L1: 5.045 D_real: 0.061 D_fake: 0.073 
(epoch: 15, iters: 36300, time: 0.043, data: 0.003) G_GAN: 0.857 G_L1: 4.192 D_real: 0.050 D_fake: 0.043 
(epoch: 15, iters: 36400, time: 0.040, data: 0.004) G_GAN: 0.679 G_L1: 5.927 D_real: 0.062 D_fake: 0.065 
(epoch: 15, iters: 36500, time: 0.038, data: 0.005) G_GAN: 0.765 G_L1: 4.821 D_real: 0.154 D_fake: 0.027 
(epoch: 15, iters: 36600, time: 0.040, data: 0.003) G_GAN: 0.935 G_L1: 4.521 D_real: 0.065 D_fake: 0.033 
(epoch: 15, iters: 36700, time: 0.041, data: 0.004) G_GAN: 0.736 G_L1: 5.227 D_real: 0.152 D_fake: 0.030 
(epoch: 15, iters: 36800, time: 0.042, data: 0.008) G_GAN: 0.909 G_L1: 4.761 D_real: 0.044 D_fake: 0.062 
(epoch: 15, iters: 36900, time: 0.036, data: 0.004) G_GAN: 0.727 G_L1: 5.061 D_real: 0.041 D_fake: 0.096 
(epoch: 15, iters: 37000, time: 0.035, data: 0.003) G_GAN: 0.644 G_L1: 4.888 D_real: 0.048 D_fake: 0.058 
(epoch: 15, iters: 37100, time: 0.043, data: 0.005) G_GAN: 0.882 G_L1: 5.927 D_real: 0.051 D_fake: 0.053 
(epoch: 15, iters: 37200, time: 0.043, data: 0.003) G_GAN: 0.680 G_L1: 5.969 D_real: 0.110 D_fake: 0.059 
(epoch: 15, iters: 37300, time: 0.036, data: 0.005) G_GAN: 0.866 G_L1: 5.515 D_real: 0.099 D_fake: 0.025 
(epoch: 15, iters: 37400, time: 0.041, data: 0.017) G_GAN: 0.767 G_L1: 5.116 D_real: 0.054 D_fake: 0.110 
(epoch: 15, iters: 37500, time: 0.042, data: 0.006) G_GAN: 0.874 G_L1: 5.853 D_real: 0.091 D_fake: 0.026 
(epoch: 15, iters: 37600, time: 0.037, data: 0.003) G_GAN: 0.832 G_L1: 5.130 D_real: 0.043 D_fake: 0.056 
(epoch: 15, iters: 37700, time: 0.039, data: 0.006) G_GAN: 0.712 G_L1: 4.900 D_real: 0.093 D_fake: 0.027 
(epoch: 15, iters: 37800, time: 0.043, data: 0.010) G_GAN: 0.803 G_L1: 4.716 D_real: 0.049 D_fake: 0.030 
(epoch: 15, iters: 37900, time: 0.038, data: 0.003) G_GAN: 0.806 G_L1: 5.029 D_real: 0.084 D_fake: 0.073 
(epoch: 15, iters: 38000, time: 0.091, data: 0.003) G_GAN: 0.829 G_L1: 4.492 D_real: 0.071 D_fake: 0.027 
saving the latest model (epoch 15, total_iters 710000)
(epoch: 15, iters: 38100, time: 0.038, data: 0.003) G_GAN: 0.611 G_L1: 6.062 D_real: 0.074 D_fake: 0.044 
(epoch: 15, iters: 38200, time: 0.038, data: 0.003) G_GAN: 0.604 G_L1: 6.456 D_real: 0.073 D_fake: 0.062 
(epoch: 15, iters: 38300, time: 0.041, data: 0.003) G_GAN: 0.837 G_L1: 4.575 D_real: 0.069 D_fake: 0.033 
(epoch: 15, iters: 38400, time: 0.038, data: 0.003) G_GAN: 0.558 G_L1: 4.799 D_real: 0.158 D_fake: 0.027 
(epoch: 15, iters: 38500, time: 0.039, data: 0.005) G_GAN: 0.723 G_L1: 6.199 D_real: 0.115 D_fake: 0.060 
(epoch: 15, iters: 38600, time: 0.041, data: 0.003) G_GAN: 0.732 G_L1: 4.450 D_real: 0.131 D_fake: 0.049 
(epoch: 15, iters: 38700, time: 0.037, data: 0.003) G_GAN: 0.727 G_L1: 4.833 D_real: 0.072 D_fake: 0.063 
(epoch: 15, iters: 38800, time: 0.042, data: 0.003) G_GAN: 0.892 G_L1: 5.229 D_real: 0.036 D_fake: 0.084 
(epoch: 15, iters: 38900, time: 0.040, data: 0.003) G_GAN: 0.645 G_L1: 4.985 D_real: 0.030 D_fake: 0.210 
(epoch: 15, iters: 39000, time: 0.042, data: 0.004) G_GAN: 0.799 G_L1: 5.278 D_real: 0.058 D_fake: 0.065 
(epoch: 15, iters: 39100, time: 0.040, data: 0.003) G_GAN: 0.816 G_L1: 5.154 D_real: 0.062 D_fake: 0.068 
(epoch: 15, iters: 39200, time: 0.041, data: 0.003) G_GAN: 1.069 G_L1: 6.059 D_real: 0.110 D_fake: 0.238 
(epoch: 15, iters: 39300, time: 0.037, data: 0.003) G_GAN: 1.005 G_L1: 4.544 D_real: 0.029 D_fake: 0.037 
(epoch: 15, iters: 39400, time: 0.037, data: 0.004) G_GAN: 1.093 G_L1: 4.439 D_real: 0.038 D_fake: 0.034 
(epoch: 15, iters: 39500, time: 0.039, data: 0.012) G_GAN: 0.777 G_L1: 4.859 D_real: 0.066 D_fake: 0.039 
(epoch: 15, iters: 39600, time: 0.037, data: 0.004) G_GAN: 0.882 G_L1: 5.704 D_real: 0.078 D_fake: 0.037 
(epoch: 15, iters: 39700, time: 0.042, data: 0.003) G_GAN: 0.593 G_L1: 6.113 D_real: 0.122 D_fake: 0.036 
(epoch: 15, iters: 39800, time: 0.040, data: 0.003) G_GAN: 0.865 G_L1: 5.665 D_real: 0.030 D_fake: 0.033 
(epoch: 15, iters: 39900, time: 0.042, data: 0.011) G_GAN: 0.755 G_L1: 5.585 D_real: 0.035 D_fake: 0.102 
(epoch: 15, iters: 40000, time: 0.084, data: 0.010) G_GAN: 0.907 G_L1: 6.422 D_real: 0.055 D_fake: 0.036 
(epoch: 15, iters: 40100, time: 0.039, data: 0.002) G_GAN: 0.791 G_L1: 4.395 D_real: 0.078 D_fake: 0.029 
(epoch: 15, iters: 40200, time: 0.041, data: 0.011) G_GAN: 0.954 G_L1: 4.902 D_real: 0.048 D_fake: 0.279 
(epoch: 15, iters: 40300, time: 0.037, data: 0.003) G_GAN: 1.102 G_L1: 5.066 D_real: 0.045 D_fake: 0.038 
(epoch: 15, iters: 40400, time: 0.041, data: 0.004) G_GAN: 0.733 G_L1: 5.007 D_real: 0.112 D_fake: 0.038 
(epoch: 15, iters: 40500, time: 0.039, data: 0.016) G_GAN: 0.909 G_L1: 6.057 D_real: 0.031 D_fake: 0.034 
(epoch: 15, iters: 40600, time: 0.041, data: 0.005) G_GAN: 0.649 G_L1: 6.366 D_real: 0.126 D_fake: 0.045 
(epoch: 15, iters: 40700, time: 0.038, data: 0.008) G_GAN: 1.024 G_L1: 5.724 D_real: 0.070 D_fake: 0.030 
(epoch: 15, iters: 40800, time: 0.040, data: 0.005) G_GAN: 0.762 G_L1: 5.491 D_real: 0.049 D_fake: 0.050 
(epoch: 15, iters: 40900, time: 0.036, data: 0.011) G_GAN: 0.701 G_L1: 5.980 D_real: 0.126 D_fake: 0.027 
(epoch: 15, iters: 41000, time: 0.038, data: 0.004) G_GAN: 0.665 G_L1: 6.311 D_real: 0.099 D_fake: 0.025 
(epoch: 15, iters: 41100, time: 0.038, data: 0.003) G_GAN: 1.031 G_L1: 5.064 D_real: 0.046 D_fake: 0.044 
(epoch: 15, iters: 41200, time: 0.040, data: 0.004) G_GAN: 0.732 G_L1: 5.770 D_real: 0.123 D_fake: 0.029 
(epoch: 15, iters: 41300, time: 0.042, data: 0.004) G_GAN: 1.147 G_L1: 4.983 D_real: 0.052 D_fake: 0.135 
(epoch: 15, iters: 41400, time: 0.040, data: 0.003) G_GAN: 1.010 G_L1: 4.907 D_real: 0.032 D_fake: 0.044 
(epoch: 15, iters: 41500, time: 0.038, data: 0.003) G_GAN: 0.619 G_L1: 4.990 D_real: 0.147 D_fake: 0.032 
(epoch: 15, iters: 41600, time: 0.040, data: 0.003) G_GAN: 0.751 G_L1: 5.433 D_real: 0.034 D_fake: 0.068 
(epoch: 15, iters: 41700, time: 0.037, data: 0.003) G_GAN: 0.725 G_L1: 6.019 D_real: 0.047 D_fake: 0.062 
(epoch: 15, iters: 41800, time: 0.043, data: 0.003) G_GAN: 1.249 G_L1: 6.421 D_real: 0.129 D_fake: 0.162 
(epoch: 15, iters: 41900, time: 0.038, data: 0.003) G_GAN: 0.766 G_L1: 4.877 D_real: 0.044 D_fake: 0.048 
(epoch: 15, iters: 42000, time: 0.087, data: 0.004) G_GAN: 0.815 G_L1: 4.806 D_real: 0.060 D_fake: 0.028 
(epoch: 15, iters: 42100, time: 0.035, data: 0.002) G_GAN: 0.912 G_L1: 5.759 D_real: 0.047 D_fake: 0.050 
(epoch: 15, iters: 42200, time: 0.042, data: 0.003) G_GAN: 0.876 G_L1: 5.404 D_real: 0.052 D_fake: 0.036 
(epoch: 15, iters: 42300, time: 0.036, data: 0.003) G_GAN: 0.944 G_L1: 5.594 D_real: 0.042 D_fake: 0.052 
(epoch: 15, iters: 42400, time: 0.037, data: 0.004) G_GAN: 0.635 G_L1: 4.325 D_real: 0.075 D_fake: 0.047 
(epoch: 15, iters: 42500, time: 0.043, data: 0.003) G_GAN: 1.083 G_L1: 5.652 D_real: 0.030 D_fake: 0.028 
(epoch: 15, iters: 42600, time: 0.039, data: 0.003) G_GAN: 1.258 G_L1: 5.108 D_real: 0.065 D_fake: 0.042 
(epoch: 15, iters: 42700, time: 0.042, data: 0.010) G_GAN: 1.163 G_L1: 6.947 D_real: 0.030 D_fake: 0.027 
(epoch: 15, iters: 42800, time: 0.043, data: 0.004) G_GAN: 0.975 G_L1: 4.568 D_real: 0.048 D_fake: 0.093 
(epoch: 15, iters: 42900, time: 0.041, data: 0.003) G_GAN: 0.916 G_L1: 5.186 D_real: 0.034 D_fake: 0.105 
(epoch: 15, iters: 43000, time: 0.038, data: 0.005) G_GAN: 0.770 G_L1: 5.904 D_real: 0.062 D_fake: 0.029 
saving the latest model (epoch 15, total_iters 715000)
(epoch: 15, iters: 43100, time: 0.037, data: 0.004) G_GAN: 0.911 G_L1: 4.719 D_real: 0.027 D_fake: 0.078 
(epoch: 15, iters: 43200, time: 0.034, data: 0.003) G_GAN: 0.831 G_L1: 5.359 D_real: 0.097 D_fake: 0.030 
(epoch: 15, iters: 43300, time: 0.036, data: 0.015) G_GAN: 0.669 G_L1: 6.371 D_real: 0.083 D_fake: 0.048 
(epoch: 15, iters: 43400, time: 0.039, data: 0.004) G_GAN: 0.866 G_L1: 5.011 D_real: 0.057 D_fake: 0.028 
(epoch: 15, iters: 43500, time: 0.040, data: 0.012) G_GAN: 0.877 G_L1: 5.714 D_real: 0.033 D_fake: 0.046 
(epoch: 15, iters: 43600, time: 0.039, data: 0.004) G_GAN: 0.859 G_L1: 4.936 D_real: 0.061 D_fake: 0.121 
(epoch: 15, iters: 43700, time: 0.038, data: 0.003) G_GAN: 0.841 G_L1: 5.500 D_real: 0.039 D_fake: 0.034 
(epoch: 15, iters: 43800, time: 0.041, data: 0.003) G_GAN: 0.943 G_L1: 4.486 D_real: 0.041 D_fake: 0.033 
(epoch: 15, iters: 43900, time: 0.041, data: 0.003) G_GAN: 1.171 G_L1: 5.160 D_real: 0.050 D_fake: 0.092 
(epoch: 15, iters: 44000, time: 0.085, data: 0.003) G_GAN: 0.782 G_L1: 5.876 D_real: 0.028 D_fake: 0.070 
(epoch: 15, iters: 44100, time: 0.038, data: 0.003) G_GAN: 0.885 G_L1: 5.812 D_real: 0.042 D_fake: 0.050 
(epoch: 15, iters: 44200, time: 0.038, data: 0.003) G_GAN: 0.884 G_L1: 5.086 D_real: 0.112 D_fake: 0.040 
(epoch: 15, iters: 44300, time: 0.042, data: 0.004) G_GAN: 0.866 G_L1: 6.548 D_real: 0.035 D_fake: 0.055 
(epoch: 15, iters: 44400, time: 0.041, data: 0.003) G_GAN: 0.679 G_L1: 5.097 D_real: 0.089 D_fake: 0.052 
(epoch: 15, iters: 44500, time: 0.038, data: 0.004) G_GAN: 0.880 G_L1: 5.458 D_real: 0.048 D_fake: 0.082 
(epoch: 15, iters: 44600, time: 0.042, data: 0.004) G_GAN: 0.972 G_L1: 4.578 D_real: 0.028 D_fake: 0.069 
(epoch: 15, iters: 44700, time: 0.040, data: 0.003) G_GAN: 1.085 G_L1: 5.228 D_real: 0.047 D_fake: 0.027 
(epoch: 15, iters: 44800, time: 0.038, data: 0.003) G_GAN: 1.226 G_L1: 4.827 D_real: 0.080 D_fake: 0.175 
(epoch: 15, iters: 44900, time: 0.038, data: 0.003) G_GAN: 1.131 G_L1: 6.414 D_real: 0.061 D_fake: 0.197 
(epoch: 15, iters: 45000, time: 0.040, data: 0.004) G_GAN: 0.690 G_L1: 4.603 D_real: 0.074 D_fake: 0.079 
(epoch: 15, iters: 45100, time: 0.038, data: 0.003) G_GAN: 0.774 G_L1: 6.102 D_real: 0.071 D_fake: 0.050 
(epoch: 15, iters: 45200, time: 0.040, data: 0.003) G_GAN: 0.643 G_L1: 5.828 D_real: 0.073 D_fake: 0.094 
(epoch: 15, iters: 45300, time: 0.037, data: 0.012) G_GAN: 1.013 G_L1: 5.925 D_real: 0.055 D_fake: 0.101 
(epoch: 15, iters: 45400, time: 0.041, data: 0.003) G_GAN: 1.229 G_L1: 5.725 D_real: 0.037 D_fake: 0.079 
(epoch: 15, iters: 45500, time: 0.035, data: 0.003) G_GAN: 0.779 G_L1: 5.850 D_real: 0.065 D_fake: 0.071 
(epoch: 15, iters: 45600, time: 0.039, data: 0.003) G_GAN: 0.662 G_L1: 5.246 D_real: 0.089 D_fake: 0.081 
(epoch: 15, iters: 45700, time: 0.038, data: 0.003) G_GAN: 1.104 G_L1: 5.597 D_real: 0.030 D_fake: 0.027 
(epoch: 15, iters: 45800, time: 0.039, data: 0.003) G_GAN: 0.745 G_L1: 5.807 D_real: 0.052 D_fake: 0.081 
(epoch: 15, iters: 45900, time: 0.038, data: 0.003) G_GAN: 0.694 G_L1: 5.887 D_real: 0.058 D_fake: 0.034 
(epoch: 15, iters: 46000, time: 0.074, data: 0.014) G_GAN: 0.723 G_L1: 6.111 D_real: 0.049 D_fake: 0.067 
(epoch: 15, iters: 46100, time: 0.035, data: 0.003) G_GAN: 1.084 G_L1: 4.852 D_real: 0.070 D_fake: 0.069 
(epoch: 15, iters: 46200, time: 0.037, data: 0.003) G_GAN: 1.176 G_L1: 4.374 D_real: 0.024 D_fake: 0.086 
(epoch: 15, iters: 46300, time: 0.039, data: 0.004) G_GAN: 0.909 G_L1: 4.486 D_real: 0.041 D_fake: 0.041 
(epoch: 15, iters: 46400, time: 0.040, data: 0.003) G_GAN: 0.867 G_L1: 6.470 D_real: 0.066 D_fake: 0.033 
(epoch: 15, iters: 46500, time: 0.036, data: 0.011) G_GAN: 0.761 G_L1: 5.157 D_real: 0.033 D_fake: 0.044 
(epoch: 15, iters: 46600, time: 0.040, data: 0.004) G_GAN: 0.890 G_L1: 5.407 D_real: 0.098 D_fake: 0.024 
(epoch: 15, iters: 46700, time: 0.040, data: 0.011) G_GAN: 1.555 G_L1: 5.135 D_real: 0.098 D_fake: 0.224 
(epoch: 15, iters: 46800, time: 0.037, data: 0.003) G_GAN: 0.603 G_L1: 5.566 D_real: 0.102 D_fake: 0.039 
(epoch: 15, iters: 46900, time: 0.042, data: 0.003) G_GAN: 0.625 G_L1: 6.171 D_real: 0.093 D_fake: 0.032 
(epoch: 15, iters: 47000, time: 0.036, data: 0.003) G_GAN: 0.702 G_L1: 5.209 D_real: 0.061 D_fake: 0.046 
(epoch: 15, iters: 47100, time: 0.042, data: 0.004) G_GAN: 0.810 G_L1: 4.919 D_real: 0.047 D_fake: 0.148 
(epoch: 15, iters: 47200, time: 0.039, data: 0.004) G_GAN: 0.830 G_L1: 4.735 D_real: 0.187 D_fake: 0.032 
(epoch: 15, iters: 47300, time: 0.040, data: 0.003) G_GAN: 0.702 G_L1: 5.998 D_real: 0.051 D_fake: 0.058 
(epoch: 15, iters: 47400, time: 0.040, data: 0.003) G_GAN: 0.695 G_L1: 6.027 D_real: 0.075 D_fake: 0.057 
(epoch: 15, iters: 47500, time: 0.040, data: 0.002) G_GAN: 0.920 G_L1: 6.091 D_real: 0.103 D_fake: 0.035 
(epoch: 15, iters: 47600, time: 0.036, data: 0.003) G_GAN: 0.777 G_L1: 5.506 D_real: 0.050 D_fake: 0.094 
(epoch: 15, iters: 47700, time: 0.040, data: 0.004) G_GAN: 1.032 G_L1: 5.456 D_real: 0.075 D_fake: 0.105 
(epoch: 15, iters: 47800, time: 0.040, data: 0.002) G_GAN: 1.015 G_L1: 5.031 D_real: 0.030 D_fake: 0.026 
(epoch: 15, iters: 47900, time: 0.041, data: 0.004) G_GAN: 0.837 G_L1: 5.651 D_real: 0.049 D_fake: 0.033 
(epoch: 15, iters: 48000, time: 0.069, data: 0.004) G_GAN: 0.929 G_L1: 5.090 D_real: 0.063 D_fake: 0.037 
saving the latest model (epoch 15, total_iters 720000)
End of epoch 15 / 20 	 Time Taken: 1224 sec
learning rate 0.0000909 -> 0.0000727
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:281: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
(epoch: 16, iters: 100, time: 0.025, data: 0.583) G_GAN: 0.944 G_L1: 5.374 D_real: 0.037 D_fake: 0.125 
(epoch: 16, iters: 200, time: 0.035, data: 0.006) G_GAN: 0.908 G_L1: 5.403 D_real: 0.037 D_fake: 0.029 
(epoch: 16, iters: 300, time: 0.036, data: 0.013) G_GAN: 0.738 G_L1: 5.774 D_real: 0.114 D_fake: 0.054 
(epoch: 16, iters: 400, time: 0.120, data: 0.014) G_GAN: 0.876 G_L1: 6.936 D_real: 0.035 D_fake: 0.034 
(epoch: 16, iters: 500, time: 0.035, data: 0.005) G_GAN: 0.692 G_L1: 6.443 D_real: 0.099 D_fake: 0.046 
(epoch: 16, iters: 600, time: 0.037, data: 0.016) G_GAN: 0.941 G_L1: 4.485 D_real: 0.030 D_fake: 0.103 
(epoch: 16, iters: 700, time: 0.037, data: 0.003) G_GAN: 0.740 G_L1: 6.091 D_real: 0.048 D_fake: 0.050 
(epoch: 16, iters: 800, time: 0.046, data: 0.011) G_GAN: 0.710 G_L1: 6.033 D_real: 0.106 D_fake: 0.041 
(epoch: 16, iters: 900, time: 0.034, data: 0.024) G_GAN: 0.879 G_L1: 4.774 D_real: 0.085 D_fake: 0.046 
(epoch: 16, iters: 1000, time: 0.039, data: 0.003) G_GAN: 0.657 G_L1: 5.702 D_real: 0.107 D_fake: 0.037 
(epoch: 16, iters: 1100, time: 0.039, data: 0.013) G_GAN: 0.625 G_L1: 5.094 D_real: 0.050 D_fake: 0.091 
(epoch: 16, iters: 1200, time: 0.038, data: 0.003) G_GAN: 0.973 G_L1: 4.371 D_real: 0.094 D_fake: 0.089 
(epoch: 16, iters: 1300, time: 0.038, data: 0.008) G_GAN: 0.912 G_L1: 4.785 D_real: 0.075 D_fake: 0.030 
(epoch: 16, iters: 1400, time: 0.042, data: 0.008) G_GAN: 0.989 G_L1: 6.951 D_real: 0.027 D_fake: 0.031 
(epoch: 16, iters: 1500, time: 0.035, data: 0.004) G_GAN: 0.605 G_L1: 5.855 D_real: 0.142 D_fake: 0.044 
(epoch: 16, iters: 1600, time: 0.037, data: 0.003) G_GAN: 0.775 G_L1: 4.694 D_real: 0.080 D_fake: 0.027 
(epoch: 16, iters: 1700, time: 0.029, data: 0.019) G_GAN: 0.959 G_L1: 5.780 D_real: 0.024 D_fake: 0.045 
(epoch: 16, iters: 1800, time: 0.042, data: 0.002) G_GAN: 0.908 G_L1: 5.676 D_real: 0.031 D_fake: 0.058 
(epoch: 16, iters: 1900, time: 0.038, data: 0.003) G_GAN: 0.752 G_L1: 5.658 D_real: 0.059 D_fake: 0.050 
(epoch: 16, iters: 2000, time: 0.137, data: 0.003) G_GAN: 1.071 G_L1: 5.249 D_real: 0.029 D_fake: 0.037 
(epoch: 16, iters: 2100, time: 0.035, data: 0.006) G_GAN: 0.852 G_L1: 4.455 D_real: 0.047 D_fake: 0.071 
(epoch: 16, iters: 2200, time: 0.034, data: 0.004) G_GAN: 1.032 G_L1: 4.520 D_real: 0.027 D_fake: 0.028 
(epoch: 16, iters: 2300, time: 0.034, data: 0.003) G_GAN: 1.052 G_L1: 5.720 D_real: 0.043 D_fake: 0.051 
(epoch: 16, iters: 2400, time: 0.034, data: 0.003) G_GAN: 1.013 G_L1: 4.871 D_real: 0.028 D_fake: 0.040 
(epoch: 16, iters: 2500, time: 0.038, data: 0.002) G_GAN: 0.853 G_L1: 5.118 D_real: 0.039 D_fake: 0.082 
(epoch: 16, iters: 2600, time: 0.036, data: 0.007) G_GAN: 0.677 G_L1: 5.159 D_real: 0.059 D_fake: 0.047 
(epoch: 16, iters: 2700, time: 0.043, data: 0.010) G_GAN: 0.684 G_L1: 5.294 D_real: 0.060 D_fake: 0.071 
(epoch: 16, iters: 2800, time: 0.037, data: 0.004) G_GAN: 0.966 G_L1: 4.490 D_real: 0.068 D_fake: 0.028 
(epoch: 16, iters: 2900, time: 0.040, data: 0.009) G_GAN: 0.626 G_L1: 5.121 D_real: 0.075 D_fake: 0.035 
(epoch: 16, iters: 3000, time: 0.036, data: 0.002) G_GAN: 0.911 G_L1: 5.996 D_real: 0.093 D_fake: 0.043 
(epoch: 16, iters: 3100, time: 0.035, data: 0.004) G_GAN: 0.660 G_L1: 5.089 D_real: 0.171 D_fake: 0.029 
(epoch: 16, iters: 3200, time: 0.041, data: 0.003) G_GAN: 0.936 G_L1: 5.010 D_real: 0.032 D_fake: 0.038 
(epoch: 16, iters: 3300, time: 0.036, data: 0.008) G_GAN: 0.715 G_L1: 5.852 D_real: 0.104 D_fake: 0.074 
(epoch: 16, iters: 3400, time: 0.041, data: 0.003) G_GAN: 0.816 G_L1: 5.497 D_real: 0.118 D_fake: 0.031 
(epoch: 16, iters: 3500, time: 0.038, data: 0.004) G_GAN: 0.585 G_L1: 5.002 D_real: 0.089 D_fake: 0.025 
(epoch: 16, iters: 3600, time: 0.039, data: 0.004) G_GAN: 0.780 G_L1: 5.712 D_real: 0.139 D_fake: 0.043 
(epoch: 16, iters: 3700, time: 0.036, data: 0.007) G_GAN: 0.866 G_L1: 5.387 D_real: 0.158 D_fake: 0.032 
(epoch: 16, iters: 3800, time: 0.036, data: 0.005) G_GAN: 0.693 G_L1: 6.364 D_real: 0.107 D_fake: 0.064 
(epoch: 16, iters: 3900, time: 0.037, data: 0.025) G_GAN: 0.656 G_L1: 5.228 D_real: 0.240 D_fake: 0.029 
(epoch: 16, iters: 4000, time: 0.113, data: 0.003) G_GAN: 0.857 G_L1: 5.085 D_real: 0.099 D_fake: 0.035 
(epoch: 16, iters: 4100, time: 0.041, data: 0.005) G_GAN: 1.129 G_L1: 5.638 D_real: 0.041 D_fake: 0.047 
(epoch: 16, iters: 4200, time: 0.036, data: 0.003) G_GAN: 0.815 G_L1: 5.857 D_real: 0.082 D_fake: 0.031 
(epoch: 16, iters: 4300, time: 0.041, data: 0.013) G_GAN: 0.767 G_L1: 4.897 D_real: 0.090 D_fake: 0.022 
(epoch: 16, iters: 4400, time: 0.036, data: 0.003) G_GAN: 0.824 G_L1: 4.954 D_real: 0.041 D_fake: 0.072 
(epoch: 16, iters: 4500, time: 0.039, data: 0.007) G_GAN: 1.089 G_L1: 5.377 D_real: 0.040 D_fake: 0.032 
(epoch: 16, iters: 4600, time: 0.040, data: 0.002) G_GAN: 0.734 G_L1: 4.601 D_real: 0.179 D_fake: 0.023 
(epoch: 16, iters: 4700, time: 0.038, data: 0.003) G_GAN: 0.859 G_L1: 5.381 D_real: 0.073 D_fake: 0.031 
(epoch: 16, iters: 4800, time: 0.040, data: 0.003) G_GAN: 0.703 G_L1: 5.263 D_real