Starting Training Loop... [0/5][0/1583] Loss_D: 1.4639 Loss_G: 6.9363 D(x): 0.7143 D(G(z)): 0.5877 / 0.0017 [0/5][50/1583] Loss_D: 0.0335 Loss_G: 16.0282 D(x): 0.9813 D(G(z)): 0.0000 / 0.0000 [0/5][100/1583] Loss_D: 0.4136 Loss_G: 3.8454 D(x): 0.8426 D(G(z)): 0.1067 / 0.0408 [0/5][150/1583] Loss_D: 0.5206 Loss_G: 4.0907 D(x): 0.7922 D(G(z)): 0.1732 / 0.0333 [0/5][200/1583] Loss_D: 2.3379 Loss_G: 13.0434 D(x): 0.9244 D(G(z)): 0.8178 / 0.0000 [0/5][250/1583] Loss_D: 0.3563 Loss_G: 5.1989 D(x): 0.8698 D(G(z)): 0.1518 / 0.0089 [0/5][300/1583] Loss_D: 1.0709 Loss_G: 1.6531 D(x): 0.4849 D(G(z)): 0.0507 / 0.2972 [0/5][350/1583] Loss_D: 0.4713 Loss_G: 6.0641 D(x): 0.9406 D(G(z)): 0.2967 / 0.0053 [0/5][400/1583] Loss_D: 0.8053 Loss_G: 7.5662 D(x): 0.9341 D(G(z)): 0.4660 / 0.0016 [0/5][450/1583] Loss_D: 0.5695 Loss_G: 4.7134 D(x): 0.8291 D(G(z)): 0.2157 / 0.0217 [0/5][500/1583] Loss_D: 1.0662 Loss_G: 2.7778 D(x): 0.4828 D(G(z)): 0.0906 / 0.1134 [0/5][550/1583] Loss_D: 0.3802 Loss_G: 4.1184 D(x): 0.7979 D(G(z)): 0.0655 / 0.0302 [0/5][600/1583] Loss_D: 0.3569 Loss_G: 5.8982 D(x): 0.8807 D(G(z)): 0.1630 / 0.0052 [0/5][650/1583] Loss_D: 0.6227 Loss_G: 5.1058 D(x): 0.6387 D(G(z)): 0.0158 / 0.0134 [0/5][700/1583] Loss_D: 0.5803 Loss_G: 7.0945 D(x): 0.9065 D(G(z)): 0.3245 / 0.0021 [0/5][750/1583] Loss_D: 0.2599 Loss_G: 8.5842 D(x): 0.8288 D(G(z)): 0.0063 / 0.0011 [0/5][800/1583] Loss_D: 0.8226 Loss_G: 8.1796 D(x): 0.9771 D(G(z)): 0.4773 / 0.0007 [0/5][850/1583] Loss_D: 0.6746 Loss_G: 4.8579 D(x): 0.8342 D(G(z)): 0.2834 / 0.0246 [0/5][900/1583] Loss_D: 0.4721 Loss_G: 3.1009 D(x): 0.7903 D(G(z)): 0.1481 / 0.0659 [0/5][950/1583] Loss_D: 0.8599 Loss_G: 1.6909 D(x): 0.6047 D(G(z)): 0.1094 / 0.2435 [0/5][1000/1583] Loss_D: 0.6415 Loss_G: 4.8156 D(x): 0.8288 D(G(z)): 0.2918 / 0.0197 [0/5][1050/1583] Loss_D: 0.4587 Loss_G: 3.6132 D(x): 0.8037 D(G(z)): 0.1277 / 0.0458 [0/5][1100/1583] Loss_D: 0.8629 Loss_G: 6.4246 D(x): 0.9380 D(G(z)): 0.4683 / 0.0045 [0/5][1150/1583] Loss_D: 0.4934 Loss_G: 6.4047 D(x): 0.9231 D(G(z)): 0.2861 / 0.0032 [0/5][1200/1583] Loss_D: 0.4716 Loss_G: 3.6436 D(x): 0.8290 D(G(z)): 0.1614 / 0.0494 [0/5][1250/1583] Loss_D: 0.4101 Loss_G: 3.6744 D(x): 0.7819 D(G(z)): 0.0860 / 0.0528 [0/5][1300/1583] Loss_D: 1.0250 Loss_G: 2.1397 D(x): 0.5451 D(G(z)): 0.1394 / 0.1862 [0/5][1350/1583] Loss_D: 0.7924 Loss_G: 2.7885 D(x): 0.7071 D(G(z)): 0.2612 / 0.0861 [0/5][1400/1583] Loss_D: 0.3543 Loss_G: 2.2940 D(x): 0.8108 D(G(z)): 0.0950 / 0.1510 [0/5][1450/1583] Loss_D: 1.6106 Loss_G: 1.8363 D(x): 0.2962 D(G(z)): 0.0046 / 0.2410 [0/5][1500/1583] Loss_D: 0.6485 Loss_G: 5.9762 D(x): 0.8651 D(G(z)): 0.3407 / 0.0047 [0/5][1550/1583] Loss_D: 0.4995 Loss_G: 4.7542 D(x): 0.8385 D(G(z)): 0.2170 / 0.0170 [1/5][0/1583] Loss_D: 0.3602 Loss_G: 3.8552 D(x): 0.7658 D(G(z)): 0.0422 / 0.0393 [1/5][50/1583] Loss_D: 1.0677 Loss_G: 2.4240 D(x): 0.4761 D(G(z)): 0.0200 / 0.1430 [1/5][100/1583] Loss_D: 1.6919 Loss_G: 1.2506 D(x): 0.2777 D(G(z)): 0.0131 / 0.3854 [1/5][150/1583] Loss_D: 0.8513 Loss_G: 6.0725 D(x): 0.9375 D(G(z)): 0.4965 / 0.0036 [1/5][200/1583] Loss_D: 0.4481 Loss_G: 3.6840 D(x): 0.8617 D(G(z)): 0.2120 / 0.0417 [1/5][250/1583] Loss_D: 0.4869 Loss_G: 2.3636 D(x): 0.7251 D(G(z)): 0.0814 / 0.1519 [1/5][300/1583] Loss_D: 0.8142 Loss_G: 6.4943 D(x): 0.9433 D(G(z)): 0.4643 / 0.0037 [1/5][350/1583] Loss_D: 0.3275 Loss_G: 4.3855 D(x): 0.9001 D(G(z)): 0.1706 / 0.0222 [1/5][400/1583] Loss_D: 1.0553 Loss_G: 5.4383 D(x): 0.9198 D(G(z)): 0.5340 / 0.0113 [1/5][450/1583] Loss_D: 0.5342 Loss_G: 3.4719 D(x): 0.6642 D(G(z)): 0.0172 / 0.0567 [1/5][500/1583] Loss_D: 0.3529 Loss_G: 4.2050 D(x): 0.7726 D(G(z)): 0.0433 / 0.0253 [1/5][550/1583] Loss_D: 0.3481 Loss_G: 4.0055 D(x): 0.8610 D(G(z)): 0.1469 / 0.0340 [1/5][600/1583] Loss_D: 0.5269 Loss_G: 2.7998 D(x): 0.7031 D(G(z)): 0.0880 / 0.0907 [1/5][650/1583] Loss_D: 0.4778 Loss_G: 3.2417 D(x): 0.8108 D(G(z)): 0.1782 / 0.0572 [1/5][700/1583] Loss_D: 0.8457 Loss_G: 5.6924 D(x): 0.9377 D(G(z)): 0.4784 / 0.0070 [1/5][750/1583] Loss_D: 1.6658 Loss_G: 5.8465 D(x): 0.9556 D(G(z)): 0.7095 / 0.0075 [1/5][800/1583] Loss_D: 0.4271 Loss_G: 4.4940 D(x): 0.9294 D(G(z)): 0.2713 / 0.0171 [1/5][850/1583] Loss_D: 0.5112 Loss_G: 2.2343 D(x): 0.7473 D(G(z)): 0.1261 / 0.1398 [1/5][900/1583] Loss_D: 0.5887 Loss_G: 4.0595 D(x): 0.8503 D(G(z)): 0.3015 / 0.0312 [1/5][950/1583] Loss_D: 0.8232 Loss_G: 1.7852 D(x): 0.5429 D(G(z)): 0.0224 / 0.2250 [1/5][1000/1583] Loss_D: 0.5225 Loss_G: 2.9947 D(x): 0.7243 D(G(z)): 0.1102 / 0.0916 [1/5][1050/1583] Loss_D: 0.4546 Loss_G: 2.7369 D(x): 0.7663 D(G(z)): 0.1208 / 0.0863 [1/5][1100/1583] Loss_D: 0.5109 Loss_G: 2.0627 D(x): 0.7003 D(G(z)): 0.0734 / 0.1667 [1/5][1150/1583] Loss_D: 0.5148 Loss_G: 1.9273 D(x): 0.7022 D(G(z)): 0.0851 / 0.1940 [1/5][1200/1583] Loss_D: 0.4869 Loss_G: 3.4446 D(x): 0.9155 D(G(z)): 0.2814 / 0.0543 [1/5][1250/1583] Loss_D: 2.1255 Loss_G: 8.5872 D(x): 0.9635 D(G(z)): 0.8007 / 0.0004 [1/5][1300/1583] Loss_D: 0.5144 Loss_G: 3.7323 D(x): 0.9250 D(G(z)): 0.3080 / 0.0413 [1/5][1350/1583] Loss_D: 0.4774 Loss_G: 2.0437 D(x): 0.7005 D(G(z)): 0.0573 / 0.1662 [1/5][1400/1583] Loss_D: 0.6017 Loss_G: 3.7591 D(x): 0.8787 D(G(z)): 0.3448 / 0.0338 [1/5][1450/1583] Loss_D: 0.3361 Loss_G: 2.5965 D(x): 0.8415 D(G(z)): 0.1248 / 0.1041 [1/5][1500/1583] Loss_D: 0.6442 Loss_G: 3.5299 D(x): 0.8733 D(G(z)): 0.3358 / 0.0457 [1/5][1550/1583] Loss_D: 0.5264 Loss_G: 3.3173 D(x): 0.8866 D(G(z)): 0.2955 / 0.0530 [2/5][0/1583] Loss_D: 0.4355 Loss_G: 2.9453 D(x): 0.8170 D(G(z)): 0.1740 / 0.0790 [2/5][50/1583] Loss_D: 0.5613 Loss_G: 2.2878 D(x): 0.7624 D(G(z)): 0.1989 / 0.1445 [2/5][100/1583] Loss_D: 0.4071 Loss_G: 2.8658 D(x): 0.8440 D(G(z)): 0.1788 / 0.0787 [2/5][150/1583] Loss_D: 0.7194 Loss_G: 2.3804 D(x): 0.6915 D(G(z)): 0.2386 / 0.1237 [2/5][200/1583] Loss_D: 0.7337 Loss_G: 3.2976 D(x): 0.8361 D(G(z)): 0.3657 / 0.0505 [2/5][250/1583] Loss_D: 0.6978 Loss_G: 1.1942 D(x): 0.5845 D(G(z)): 0.0600 / 0.3464 [2/5][300/1583] Loss_D: 1.8758 Loss_G: 0.1049 D(x): 0.2247 D(G(z)): 0.0231 / 0.9067 [2/5][350/1583] Loss_D: 0.7192 Loss_G: 1.6271 D(x): 0.7092 D(G(z)): 0.2432 / 0.2475 [2/5][400/1583] Loss_D: 0.9044 Loss_G: 4.5618 D(x): 0.9135 D(G(z)): 0.5016 / 0.0175 [2/5][450/1583] Loss_D: 0.4705 Loss_G: 2.6927 D(x): 0.8290 D(G(z)): 0.2166 / 0.0926 [2/5][500/1583] Loss_D: 0.9481 Loss_G: 1.7050 D(x): 0.4741 D(G(z)): 0.0644 / 0.2479 [2/5][550/1583] Loss_D: 0.8897 Loss_G: 1.5763 D(x): 0.5010 D(G(z)): 0.0646 / 0.2718 [2/5][600/1583] Loss_D: 0.6414 Loss_G: 4.1424 D(x): 0.8967 D(G(z)): 0.3749 / 0.0225 [2/5][650/1583] Loss_D: 1.1566 Loss_G: 0.6323 D(x): 0.4067 D(G(z)): 0.0403 / 0.5921 [2/5][700/1583] Loss_D: 0.7189 Loss_G: 4.4080 D(x): 0.8873 D(G(z)): 0.4014 / 0.0205 [2/5][750/1583] Loss_D: 0.6507 Loss_G: 3.0001 D(x): 0.8545 D(G(z)): 0.3497 / 0.0659 [2/5][800/1583] Loss_D: 0.5050 Loss_G: 2.2567 D(x): 0.7411 D(G(z)): 0.1453 / 0.1463 [2/5][850/1583] Loss_D: 0.6416 Loss_G: 1.8507 D(x): 0.6685 D(G(z)): 0.1546 / 0.1972 [2/5][900/1583] Loss_D: 0.5452 Loss_G: 2.5952 D(x): 0.8675 D(G(z)): 0.2913 / 0.0956 [2/5][950/1583] Loss_D: 0.7234 Loss_G: 2.6786 D(x): 0.7113 D(G(z)): 0.2608 / 0.0905 [2/5][1000/1583] Loss_D: 0.5062 Loss_G: 2.4790 D(x): 0.7909 D(G(z)): 0.2073 / 0.1052 [2/5][1050/1583] Loss_D: 0.7153 Loss_G: 2.3895 D(x): 0.8569 D(G(z)): 0.3822 / 0.1211 [2/5][1100/1583] Loss_D: 0.8595 Loss_G: 3.8420 D(x): 0.9298 D(G(z)): 0.5028 / 0.0325 [2/5][1150/1583] Loss_D: 0.6264 Loss_G: 2.0854 D(x): 0.7232 D(G(z)): 0.2128 / 0.1611 [2/5][1200/1583] Loss_D: 0.7019 Loss_G: 3.6000 D(x): 0.8918 D(G(z)): 0.3990 / 0.0429 [2/5][1250/1583] Loss_D: 0.5670 Loss_G: 2.2590 D(x): 0.7721 D(G(z)): 0.2216 / 0.1288 [2/5][1300/1583] Loss_D: 0.5370 Loss_G: 2.5245 D(x): 0.7748 D(G(z)): 0.2041 / 0.1076 [2/5][1350/1583] Loss_D: 1.2343 Loss_G: 5.6195 D(x): 0.9171 D(G(z)): 0.6329 / 0.0070 [2/5][1400/1583] Loss_D: 0.7298 Loss_G: 3.7086 D(x): 0.8529 D(G(z)): 0.3842 / 0.0335 [2/5][1450/1583] Loss_D: 0.5449 Loss_G: 3.5281 D(x): 0.8691 D(G(z)): 0.3028 / 0.0389 [2/5][1500/1583] Loss_D: 0.6057 Loss_G: 1.9677 D(x): 0.6187 D(G(z)): 0.0668 / 0.1777 [2/5][1550/1583] Loss_D: 0.4917 Loss_G: 3.4132 D(x): 0.8972 D(G(z)): 0.2894 / 0.0423 [3/5][0/1583] Loss_D: 0.5575 Loss_G: 1.8105 D(x): 0.7082 D(G(z)): 0.1537 / 0.2037 [3/5][50/1583] Loss_D: 1.7413 Loss_G: 5.1448 D(x): 0.9646 D(G(z)): 0.7700 / 0.0103 [3/5][100/1583] Loss_D: 1.1206 Loss_G: 1.3007 D(x): 0.4276 D(G(z)): 0.0554 / 0.3365 [3/5][150/1583] Loss_D: 0.5955 Loss_G: 1.7999 D(x): 0.7076 D(G(z)): 0.1747 / 0.2029 [3/5][200/1583] Loss_D: 0.6961 Loss_G: 3.7222 D(x): 0.8321 D(G(z)): 0.3667 / 0.0321 [3/5][250/1583] Loss_D: 0.4007 Loss_G: 2.8452 D(x): 0.7988 D(G(z)): 0.1379 / 0.0781 [3/5][300/1583] Loss_D: 0.6564 Loss_G: 2.0469 D(x): 0.7051 D(G(z)): 0.2095 / 0.1643 [3/5][350/1583] Loss_D: 0.6704 Loss_G: 1.3749 D(x): 0.6466 D(G(z)): 0.1634 / 0.2931 [3/5][400/1583] Loss_D: 0.6857 Loss_G: 2.0913 D(x): 0.5764 D(G(z)): 0.0540 / 0.1542 [3/5][450/1583] Loss_D: 0.6722 Loss_G: 3.6257 D(x): 0.8451 D(G(z)): 0.3591 / 0.0353 [3/5][500/1583] Loss_D: 1.2377 Loss_G: 0.6136 D(x): 0.3546 D(G(z)): 0.0484 / 0.5801 [3/5][550/1583] Loss_D: 0.4995 Loss_G: 2.5051 D(x): 0.8135 D(G(z)): 0.2210 / 0.1020 [3/5][600/1583] Loss_D: 0.7371 Loss_G: 1.3311 D(x): 0.5612 D(G(z)): 0.0663 / 0.3027 [3/5][650/1583] Loss_D: 0.5689 Loss_G: 1.7670 D(x): 0.6286 D(G(z)): 0.0547 / 0.2199 [3/5][700/1583] Loss_D: 0.5304 Loss_G: 2.7843 D(x): 0.8501 D(G(z)): 0.2718 / 0.0785 [3/5][750/1583] Loss_D: 0.4839 Loss_G: 2.3616 D(x): 0.8008 D(G(z)): 0.2041 / 0.1190 [3/5][800/1583] Loss_D: 0.5746 Loss_G: 2.0189 D(x): 0.6863 D(G(z)): 0.1333 / 0.1655 [3/5][850/1583] Loss_D: 0.8328 Loss_G: 3.7750 D(x): 0.8823 D(G(z)): 0.4617 / 0.0326 [3/5][900/1583] Loss_D: 0.5305 Loss_G: 2.9058 D(x): 0.8745 D(G(z)): 0.2987 / 0.0696 [3/5][950/1583] Loss_D: 0.5446 Loss_G: 2.5951 D(x): 0.8808 D(G(z)): 0.2981 / 0.1071 [3/5][1000/1583] Loss_D: 0.5476 Loss_G: 2.1378 D(x): 0.6528 D(G(z)): 0.0669 / 0.1621 [3/5][1050/1583] Loss_D: 0.9009 Loss_G: 1.1014 D(x): 0.5071 D(G(z)): 0.0916 / 0.3846 [3/5][1100/1583] Loss_D: 0.5750 Loss_G: 2.9691 D(x): 0.8845 D(G(z)): 0.3302 / 0.0663 [3/5][1150/1583] Loss_D: 0.8456 Loss_G: 1.7220 D(x): 0.6015 D(G(z)): 0.2135 / 0.2143 [3/5][1200/1583] Loss_D: 0.5376 Loss_G: 1.9356 D(x): 0.7530 D(G(z)): 0.1877 / 0.1840 [3/5][1250/1583] Loss_D: 0.9893 Loss_G: 3.8034 D(x): 0.9370 D(G(z)): 0.5492 / 0.0315 [3/5][1300/1583] Loss_D: 0.8103 Loss_G: 1.5027 D(x): 0.5088 D(G(z)): 0.0404 / 0.2727 [3/5][1350/1583] Loss_D: 0.5382 Loss_G: 1.4694 D(x): 0.7231 D(G(z)): 0.1599 / 0.2731 [3/5][1400/1583] Loss_D: 1.0334 Loss_G: 1.0126 D(x): 0.4632 D(G(z)): 0.1031 / 0.4122 [3/5][1450/1583] Loss_D: 0.4757 Loss_G: 1.9061 D(x): 0.7601 D(G(z)): 0.1547 / 0.1823 [3/5][1500/1583] Loss_D: 0.6546 Loss_G: 3.2963 D(x): 0.8076 D(G(z)): 0.3076 / 0.0504 [3/5][1550/1583] Loss_D: 0.7705 Loss_G: 3.2457 D(x): 0.8294 D(G(z)): 0.3949 / 0.0516 [4/5][0/1583] Loss_D: 0.6028 Loss_G: 2.3475 D(x): 0.7754 D(G(z)): 0.2488 / 0.1262 [4/5][50/1583] Loss_D: 0.7614 Loss_G: 3.9099 D(x): 0.9312 D(G(z)): 0.4557 / 0.0279 [4/5][100/1583] Loss_D: 1.3392 Loss_G: 0.6799 D(x): 0.3213 D(G(z)): 0.0230 / 0.5560 [4/5][150/1583] Loss_D: 0.5082 Loss_G: 3.0762 D(x): 0.8566 D(G(z)): 0.2760 / 0.0600 [4/5][200/1583] Loss_D: 0.8252 Loss_G: 4.0072 D(x): 0.9221 D(G(z)): 0.4694 / 0.0296 [4/5][250/1583] Loss_D: 0.4909 Loss_G: 2.6500 D(x): 0.7729 D(G(z)): 0.1818 / 0.0935 [4/5][300/1583] Loss_D: 0.6793 Loss_G: 3.8483 D(x): 0.8954 D(G(z)): 0.3954 / 0.0293 [4/5][350/1583] Loss_D: 0.5959 Loss_G: 3.2546 D(x): 0.8589 D(G(z)): 0.3267 / 0.0502 [4/5][400/1583] Loss_D: 0.7204 Loss_G: 1.8128 D(x): 0.5761 D(G(z)): 0.0747 / 0.2132 [4/5][450/1583] Loss_D: 0.6253 Loss_G: 3.8699 D(x): 0.9221 D(G(z)): 0.3843 / 0.0295 [4/5][500/1583] Loss_D: 0.5200 Loss_G: 2.4470 D(x): 0.7570 D(G(z)): 0.1796 / 0.1181 [4/5][550/1583] Loss_D: 0.9892 Loss_G: 4.7044 D(x): 0.8942 D(G(z)): 0.5066 / 0.0135 [4/5][600/1583] Loss_D: 0.4343 Loss_G: 2.9781 D(x): 0.8453 D(G(z)): 0.2101 / 0.0642 [4/5][650/1583] Loss_D: 1.5967 Loss_G: 4.2490 D(x): 0.9419 D(G(z)): 0.7255 / 0.0231 [4/5][700/1583] Loss_D: 0.5672 Loss_G: 3.5243 D(x): 0.8898 D(G(z)): 0.3383 / 0.0360 [4/5][750/1583] Loss_D: 0.5089 Loss_G: 3.1110 D(x): 0.8679 D(G(z)): 0.2821 / 0.0553 [4/5][800/1583] Loss_D: 0.6581 Loss_G: 3.1131 D(x): 0.7878 D(G(z)): 0.2940 / 0.0682 [4/5][850/1583] Loss_D: 1.3859 Loss_G: 0.6585 D(x): 0.3220 D(G(z)): 0.0369 / 0.6021 [4/5][900/1583] Loss_D: 0.5722 Loss_G: 3.0522 D(x): 0.8335 D(G(z)): 0.2775 / 0.0693 [4/5][950/1583] Loss_D: 0.4414 Loss_G: 2.5937 D(x): 0.8578 D(G(z)): 0.2228 / 0.1017 [4/5][1000/1583] Loss_D: 0.5011 Loss_G: 2.4809 D(x): 0.8281 D(G(z)): 0.2443 / 0.0999 [4/5][1050/1583] Loss_D: 0.7283 Loss_G: 1.9399 D(x): 0.6368 D(G(z)): 0.1740 / 0.1767 [4/5][1100/1583] Loss_D: 0.4500 Loss_G: 3.4137 D(x): 0.9333 D(G(z)): 0.2733 / 0.0502 [4/5][1150/1583] Loss_D: 0.7120 Loss_G: 3.4910 D(x): 0.8907 D(G(z)): 0.3977 / 0.0437 [4/5][1200/1583] Loss_D: 0.5525 Loss_G: 2.6768 D(x): 0.8155 D(G(z)): 0.2422 / 0.0931 [4/5][1250/1583] Loss_D: 0.6997 Loss_G: 1.5459 D(x): 0.5832 D(G(z)): 0.0603 / 0.2608 [4/5][1300/1583] Loss_D: 0.4300 Loss_G: 2.2103 D(x): 0.7592 D(G(z)): 0.1148 / 0.1421 [4/5][1350/1583] Loss_D: 2.4836 Loss_G: 5.5115 D(x): 0.9568 D(G(z)): 0.8612 / 0.0065 [4/5][1400/1583] Loss_D: 0.9552 Loss_G: 3.1371 D(x): 0.8761 D(G(z)): 0.5150 / 0.0606 [4/5][1450/1583] Loss_D: 0.5326 Loss_G: 1.7700 D(x): 0.7328 D(G(z)): 0.1584 / 0.2052 [4/5][1500/1583] Loss_D: 0.7565 Loss_G: 3.8208 D(x): 0.8543 D(G(z)): 0.4054 / 0.0292 [4/5][1550/1583] Loss_D: 0.5943 Loss_G: 2.3004 D(x): 0.7305 D(G(z)): 0.2107 / 0.1229