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Difference of network structure between training and reference? #259
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Originally created by @fyushan on GitHub (Sep 22, 2022).
Hi, I saw that you said "
(1) we remove the component loss
(2) we use more data and data with higher quality
(3) the training network structure is not the same as the inference network structure
"
Could you please tell me what the difference between the training network structure and the inference network structure is?
I used GFPGANv1.3.pth and GFPGANv1_net_d.pth to refine models with my own face dataset. The loss became NAN after it trained for a short time. I have tried to remove component loss, percep loss, decrease learn rate, style loss, but it didn't work.
022-09-26 16:28:53,686 INFO: [train..][epoch: 0, iter: 25,361, lr:(2.000e-04,)] [eta: 6 days, 20:47:51, time (data): 0.721 (0.005)] l_g_pix: 213.3874 l_p_8: 0.0505 l_p_16: 0.0408 l_p_32: 0.0629 l_p_64: 0.0640 l_p_128: 0.0677 l_p_256: 0.0429 l_p_512: 0.0321 l_g_gan: 0.6835 l_identity: 2319.3281 l_d: 1.1499 real_score: -0.7691 fake_score: -68345.6562
2022-09-26 16:28:54,456 INFO: [train..][epoch: 0, iter: 25,362, lr:(2.000e-04,)] [eta: 6 days, 20:47:51, time (data): 0.722 (0.005)] l_g_pix: 0.0062 l_p_8: 0.0531 l_p_16: 0.0506 l_p_32: 0.0465 l_p_64: 0.0484 l_p_128: 0.0532 l_p_256: 0.0572 l_p_512: 0.0594 l_g_gan: 0.0000 l_identity: 0.7700 l_d: 0.5562 real_score: 3.8964 fake_score: -0.3435
2022-09-26 16:28:55,108 INFO: [train..][epoch: 0, iter: 25,363, lr:(2.000e-04,)] [eta: 6 days, 20:47:46, time (data): 0.720 (0.005)] l_g_pix: 0.0096 l_p_8: 0.0618 l_p_16: 0.0515 l_p_32: 0.0500 l_p_64: 0.0641 l_p_128: 0.0828 l_p_256: 0.0879 l_p_512: 0.0914 l_g_gan: 0.0000 l_identity: 0.6480 l_d: 0.1280 real_score: 4.7639 fake_score: -2.0645
2022-09-26 16:28:55,812 INFO: [train..][epoch: 0, iter: 25,364, lr:(2.000e-04,)] [eta: 6 days, 20:47:44, time (data): 0.719 (0.005)] l_g_pix: 0.0072 l_p_8: 0.0651 l_p_16: 0.0578 l_p_32: 0.0454 l_p_64: 0.0449 l_p_128: 0.0511 l_p_256: 0.0576 l_p_512: 0.0632 l_g_gan: 0.0000 l_identity: 0.6837 l_d: 0.1388 real_score: 2.8205 fake_score: -2.4736
2022-09-26 16:28:56,550 INFO: [train..][epoch: 0, iter: 25,365, lr:(2.000e-04,)] [eta: 6 days, 20:47:42, time (data): 0.720 (0.005)] l_g_pix: 0.0079 l_p_8: 0.0792 l_p_16: 0.0687 l_p_32: 0.0463 l_p_64: 0.0466 l_p_128: 0.0552 l_p_256: 0.0598 l_p_512: 0.0646 l_g_gan: 0.0000 l_identity: 0.7515 l_d: 0.1024 real_score: 2.6006 fake_score: -3.4644
2022-09-26 16:28:57,247 INFO: [train..][epoch: 0, iter: 25,366, lr:(2.000e-04,)] [eta: 6 days, 20:47:39, time (data): 0.719 (0.005)] l_g_pix: 0.0105 l_p_8: 0.1212 l_p_16: 0.0921 l_p_32: 0.0787 l_p_64: 0.0780 l_p_128: 0.0879 l_p_256: 0.0902 l_p_512: 0.0907 l_g_gan: 0.0000 l_identity: 0.5902 l_d: 0.0496 real_score: 4.6275 fake_score: -3.2025
2022-09-26 16:28:58,213 INFO: [train..][epoch: 0, iter: 25,367, lr:(2.000e-04,)] [eta: 6 days, 20:47:45, time (data): 0.725 (0.005)] l_g_pix: 0.0068 l_p_8: 0.1056 l_p_16: 0.0733 l_p_32: 0.0548 l_p_64: 0.0473 l_p_128: 0.0490 l_p_256: 0.0511 l_p_512: 0.0476 l_g_gan: 0.0000 l_identity: 0.6017 l_d: 0.2361 real_score: 1.5623 fake_score: -3.0603
2022-09-26 16:28:58,920 INFO: [train..][epoch: 0, iter: 25,368, lr:(2.000e-04,)] [eta: 6 days, 20:47:42, time (data): 0.725 (0.005)] l_g_pix: 0.0074 l_p_8: 0.0606 l_p_16: 0.0575 l_p_32: 0.0419 l_p_64: 0.0390 l_p_128: 0.0470 l_p_256: 0.0569 l_p_512: 0.0628 l_g_gan: 0.0000 l_identity: 0.4443 l_d: 0.0925 real_score: 3.6778 fake_score: -2.6605
2022-09-26 16:28:59,589 INFO: [train..][epoch: 0, iter: 25,369, lr:(2.000e-04,)] [eta: 6 days, 20:47:38, time (data): 0.723 (0.005)] l_g_pix: 0.0115 l_p_8: 0.0854 l_p_16: 0.0640 l_p_32: 0.0607 l_p_64: 0.0687 l_p_128: 0.0875 l_p_256: 0.1013 l_p_512: 0.1071 l_g_gan: 0.0000 l_identity: 0.8231 l_d: 0.0687 real_score: 5.0246 fake_score: -2.7476
2022-09-26 16:29:00,234 INFO: [train..][epoch: 0, iter: 25,370, lr:(2.000e-04,)] [eta: 6 days, 20:47:34, time (data): 0.722 (0.005)] l_g_pix: 0.0082 l_p_8: 0.0960 l_p_16: 0.0797 l_p_32: 0.0617 l_p_64: 0.0537 l_p_128: 0.0603 l_p_256: 0.0653 l_p_512: 0.0696 l_g_gan: 0.0000 l_identity: 0.4504 l_d: 0.0858 real_score: 4.5050 fake_score: -2.5549
2022-09-26 16:29:00,932 INFO: [train..][epoch: 0, iter: 25,371, lr:(2.000e-04,)] [eta: 6 days, 20:47:31, time (data): 0.721 (0.005)] l_g_pix: 0.0108 l_p_8: 0.0707 l_p_16: 0.0557 l_p_32: 0.0506 l_p_64: 0.0574 l_p_128: 0.0741 l_p_256: 0.0904 l_p_512: 0.1024 l_g_gan: 0.0000 l_identity: 0.6238 l_d: 0.0220 real_score: 5.2839 fake_score: -4.0704
2022-09-26 16:29:01,657 INFO: [train..][epoch: 0, iter: 25,372, lr:(2.000e-04,)] [eta: 6 days, 20:47:29, time (data): 0.721 (0.005)] l_g_pix: 0.0099 l_p_8: 0.1018 l_p_16: 0.0904 l_p_32: 0.0786 l_p_64: 0.0886 l_p_128: 0.1045 l_p_256: 0.0929 l_p_512: 0.0871 l_g_gan: 0.0000 l_identity: 0.9148 l_d: 0.0766 real_score: 4.2187 fake_score: -2.7497
2022-09-26 16:29:02,331 INFO: [train..][epoch: 0, iter: 25,373, lr:(2.000e-04,)] [eta: 6 days, 20:47:25, time (data): 0.720 (0.005)] l_g_pix: 0.0122 l_p_8: 0.0991 l_p_16: 0.0889 l_p_32: 0.0746 l_p_64: 0.0802 l_p_128: 0.0930 l_p_256: 0.1060 l_p_512: 0.1148 l_g_gan: 0.0000 l_identity: 0.6502 l_d: 0.0263 real_score: 4.3622 fake_score: -4.2905
2022-09-26 16:29:03,108 INFO: [train..][epoch: 0, iter: 25,374, lr:(2.000e-04,)] [eta: 6 days, 20:47:25, time (data): 0.721 (0.005)] l_g_pix: 0.0100 l_p_8: 0.0610 l_p_16: 0.0587 l_p_32: 0.0584 l_p_64: 0.0691 l_p_128: 0.0814 l_p_256: 0.0896 l_p_512: 0.0934 l_g_gan: 0.0000 l_identity: 0.8235 l_d: 0.0786 real_score: 2.7914 fake_score: -3.9478
2022-09-26 16:29:03,834 INFO: [train..][epoch: 0, iter: 25,375, lr:(2.000e-04,)] [eta: 6 days, 20:47:23, time (data): 0.721 (0.005)] l_g_pix: 0.0072 l_p_8: 0.0787 l_p_16: 0.0662 l_p_32: 0.0517 l_p_64: 0.0496 l_p_128: 0.0556 l_p_256: 0.0606 l_p_512: 0.0607 l_g_gan: 0.0000 l_identity: 0.6302 l_d: 0.0691 real_score: 3.0037 fake_score: -3.8674
2022-09-26 16:29:04,517 INFO: [train..][epoch: 0, iter: 25,376, lr:(2.000e-04,)] [eta: 6 days, 20:47:20, time (data): 0.720 (0.005)] l_g_pix: 460171.8125 l_p_8: 0.1882 l_p_16: 0.3249 l_p_32: 0.2948 l_p_64: 0.4484 l_p_128: 1.0673 l_p_256: 1.0124 l_p_512: 1.9412 l_g_gan: 2617.7749 l_identity: 7981205.0000 l_d: 0.2372 real_score: 1.3179 fake_score: -261777504.0000 l_d_r1: 2.9212
2022-09-26 16:29:05,193 INFO: [train..][epoch: 0, iter: 25,377, lr:(2.000e-04,)] [eta: 6 days, 20:47:16, time (data): 0.719 (0.005)] l_g_pix: 0.0078 l_p_8: 0.0619 l_p_16: 0.0677 l_p_32: 0.0547 l_p_64: 0.0621 l_p_128: 0.0681 l_p_256: 0.0758 l_p_512: 0.0768 l_g_gan: 0.0000 l_identity: 0.7679 l_d: 0.1073 real_score: 3.7570 fake_score: -2.4317
2022-09-26 16:29:05,762 INFO: [train..][epoch: 0, iter: 25,378, lr:(2.000e-04,)] [eta: 6 days, 20:47:09, time (data): 0.716 (0.005)] l_g_pix: 85927904.0000 l_p_8: 0.4870 l_p_16: 1.7533 l_p_32: 2.7087 l_p_64: 4.4309 l_p_128: 5.7579 l_p_256: 4.5295 l_p_512: 11.2901 l_g_gan: 512647.6562 l_identity: 2693390080.0000 l_d: 0.0133 real_score: 4.3136 fake_score: -51264765952.0000
2022-09-26 16:29:06,244 INFO: [train..][epoch: 0, iter: 25,379, lr:(2.000e-04,)] [eta: 6 days, 20:47:00, time (data): 0.712 (0.005)] l_g_pix: 1374784627652024264225193984.0000 l_p_8: 99.9917 l_p_16: 207.6493 l_p_32: 292.1296 l_p_64: 1970.4246 l_p_128: 2907.3787 l_p_256: 21099.4805 l_p_512: 11599.6904 l_g_gan: 6368870977421252482826240.0000 l_identity: 14328350555124623263966167040.0000 l_d: 0.0184 real_score: 3.9856 fake_score: -636887131425879926876265250816.0000
2022-09-26 16:29:06,748 INFO: [train..][epoch: 0, iter: 25,380, lr:(2.000e-04,)] [eta: 6 days, 20:46:51, time (data): 0.708 (0.005)] l_g_pix: 2931017000929765938429952.0000 l_p_8: 10.6666 l_p_16: 24.6368 l_p_32: 97.6129 l_p_64: 365.4507 l_p_128: 821.7263 l_p_256: 632.7768 l_p_512: 411.1413 l_g_gan: 1809087948277891989504.0000 l_identity: 183179599746333557523480576.0000 l_d: 0.0079 real_score: 4.8371 fake_score: -180908805550859911719550976.0000
2022-09-26 16:29:07,297 INFO: [train..][epoch: 0, iter: 25,381, lr:(2.000e-04,)] [eta: 6 days, 20:46:44, time (data): 0.705 (0.005)] l_g_pix: 660002666128634544128.0000 l_p_8: 11.2655 l_p_16: 19.9711 l_p_32: 20.5043 l_p_64: 113.6539 l_p_128: 114.7397 l_p_256: 2333.8230 l_p_512: 1296.6293 l_g_gan: 2766640910711128064.0000 l_identity: 2738781641217190920192.0000 l_d: 0.0137 real_score: 4.2808 fake_score: -276664105487909269798912.0000
2022-09-26 16:29:07,815 INFO: [train..][epoch: 0, iter: 25,382, lr:(2.000e-04,)] [eta: 6 days, 20:46:35, time (data): 0.702 (0.005)] l_g_pix: 7695623317994737199864610816.0000 l_p_8: 86.4628 l_p_16: 151.9921 l_p_32: 132.0175 l_p_64: 670.0501 l_p_128: 721.6255 l_p_256: 17720.5371 l_p_512: 9919.5654 l_g_gan: 47292960022809342067605504.0000 l_identity: 39295477357632402443139547136.0000 l_d: 0.0163 real_score: 4.1068 fake_score: -4729296045667676268125415800832.0000
2022-09-26 16:29:08,360 INFO: [train..][epoch: 0, iter: 25,383, lr:(2.000e-04,)] [eta: 6 days, 20:46:28, time (data): 0.699 (0.005)] l_g_pix: 669728048786452774912.0000 l_p_8: 2.8474 l_p_16: 2.7717 l_p_32: 4.3822 l_p_64: 12.3373 l_p_128: 31.0031 l_p_256: 149.8842 l_p_512: 86.8208 l_g_gan: 1326380871321649152.0000 l_identity: 24167452759375992586240.0000 l_d: 0.0998 real_score: 2.2546 fake_score: -132638088684675333619712.0000
2022-09-26 16:29:08,919 INFO: [train..][epoch: 0, iter: 25,384, lr:(2.000e-04,)] [eta: 6 days, 20:46:21, time (data): 0.696 (0.005)] l_g_pix: 25670539866244382720.0000 l_p_8: 6.4451 l_p_16: 15.5605 l_p_32: 16.1027 l_p_64: 63.0877 l_p_128: 87.2136 l_p_256: 1384.0796 l_p_512: 786.9933 l_g_gan: 139776515192651776.0000 l_identity: 123455997908642430976.0000 l_d: 0.0035 real_score: 5.6565 fake_score: -13977652152583875198976.0000
2022-09-26 16:29:09,431 INFO: [train..][epoch: 0, iter: 25,385, lr:(2.000e-04,)] [eta: 6 days, 20:46:12, time (data): 0.693 (0.005)] l_g_pix: 64444027851211626915037184.0000 l_p_8: 38.3758 l_p_16: 77.5175 l_p_32: 77.4333 l_p_64: 342.4327 l_p_128: 419.4457 l_p_256: 8508.3320 l_p_512: 4760.9570 l_g_gan: 257944479305578085089280.0000 l_identity: 243067397103489385874063360.0000 l_d: 0.0039 real_score: 5.5370 fake_score: -25794448811966298780862513152.0000
2022-09-26 16:29:09,960 INFO: [train..][epoch: 0, iter: 25,386, lr:(2.000e-04,)] [eta: 6 days, 20:46:04, time (data): 0.690 (0.005)] l_g_pix: 9471699449243907177679159296.0000 l_p_8: 17.3231 l_p_16: 55.3956 l_p_32: 193.0737 l_p_64: 1005.3171 l_p_128: 1192.3223 l_p_256: 1577.2527 l_p_512: 1307.0979 l_g_gan: 22982215063153399293804544.0000 l_identity: 493648991288251381483348951040.0000 l_d: 0.0031 real_score: 5.7615 fake_score: -2298221478054928008457421324288.0000
2022-09-26 16:29:10,402 INFO: [train..][epoch: 0, iter: 25,387, lr:(2.000e-04,)] [eta: 6 days, 20:45:54, time (data): 0.686 (0.005)] l_g_pix: 8870282507719534444544.0000 l_p_8: 2.0806 l_p_16: 6.1492 l_p_32: 22.0377 l_p_64: 54.3892 l_p_128: 139.1584 l_p_256: 236.4850 l_p_512: 209.2866 l_g_gan: 34757904513766522880.0000 l_identity: 421929819153370227671040.0000 l_d: 0.0069 real_score: 4.9720 fake_score: -3475790570370198692429824.0000
2022-09-26 16:29:10,884 INFO: [train..][epoch: 0, iter: 25,388, lr:(2.000e-04,)] [eta: 6 days, 20:45:44, time (data): 0.683 (0.005)] l_g_pix: 280552045031819709513728.0000 l_p_8: 14.7042 l_p_16: 36.5785 l_p_32: 47.9633 l_p_64: 105.4888 l_p_128: 229.7229 l_p_256: 3555.5010 l_p_512: 2030.5609 l_g_gan: 716063333552654123008.0000 l_identity: 2013160050211190564978688.0000 l_d: 0.0173 real_score: 4.0480 fake_score: -71606335949338797666205696.0000
2022-09-26 16:29:11,379 INFO: [train..][epoch: 0, iter: 25,389, lr:(2.000e-04,)] [eta: 6 days, 20:45:35, time (data): 0.680 (0.005)] l_g_pix: 23485848069853817472024576.0000 l_p_8: 32.6980 l_p_16: 66.0482 l_p_32: 60.4492 l_p_64: 86.6103 l_p_128: 304.1219 l_p_256: 6556.2183 l_p_512: 3758.3984 l_g_gan: 83380111875498609475584.0000 l_identity: 83069138105055894613000192.0000 l_d: 0.0496 real_score: 2.9779 fake_score: -8338010962730167549223239680.0000
2022-09-26 16:29:11,822 INFO: [train..][epoch: 0, iter: 25,390, lr:(2.000e-04,)] [eta: 6 days, 20:45:25, time (data): 0.676 (0.005)] l_g_pix: 2629759188236749127024640.0000 l_p_8: 22.9456 l_p_16: 35.1229 l_p_32: 41.9130 l_p_64: 134.2369 l_p_128: 292.6683 l_p_256: 3470.1577 l_p_512: 2045.6224 l_g_gan: 12872791937300419313664.0000 l_identity: 16947671722402554117619712.0000 l_d: 0.0041 real_score: 5.5069 fake_score: -1287279176724449738415407104.0000
2022-09-26 16:29:12,342 INFO: [train..][epoch: 0, iter: 25,391, lr:(2.000e-04,)] [eta: 6 days, 20:45:16, time (data): 0.674 (0.005)] l_g_pix: 11709304853075945115046903808.0000 l_p_8: 50.4781 l_p_16: 83.7614 l_p_32: 103.7509 l_p_64: 87.0458 l_p_128: 540.6024 l_p_256: 8489.1084 l_p_512: 4809.9429 l_g_gan: 48924786673685799567884288.0000 l_identity: 39912723713508845160086110208.0000 l_d: 0.0025 real_score: 5.9783 fake_score: -4892478968419443239728311173120.0000
2022-09-26 16:29:13,007 INFO: [train..][epoch: 0, iter: 25,392, lr:(2.000e-04,)] [eta: 6 days, 20:45:13, time (data): 0.673 (0.005)] l_g_pix: 367913792503799026153313796096.0000 l_p_8: 23.5352 l_p_16: 48.2356 l_p_32: 199.1010 l_p_64: 367.4999 l_p_128: 1123.6423 l_p_256: 2106.8259 l_p_512: 1848.5054 l_g_gan: 1142855190152799968521355264.0000 l_identity: 16689199179115202693493614968832.0000 l_d: 0.0172 real_score: 4.0559 fake_score: -114285521886478818436879816327168.0000 l_d_r1: 1.5784
2022-09-26 16:29:13,524 INFO: [train..][epoch: 0, iter: 25,393, lr:(2.000e-04,)] [eta: 6 days, 20:45:04, time (data): 0.671 (0.005)] l_g_pix: 2380807734264626882241005355008.0000 l_p_8: 87.8108 l_p_16: 140.3464 l_p_32: 363.3686 l_p_64: 1023.3015 l_p_128: 1122.7920 l_p_256: 13619.8594 l_p_512: 7604.5889 l_g_gan: 10943366524345006596667998208.0000 l_identity: 9607678636798958028019359285248.0000 l_d: 0.0046 real_score: 5.3807 fake_score: -1094336673590702502922810378158080.0000
2022-09-26 16:29:14,044 INFO: [train..][epoch: 0, iter: 25,394, lr:(2.000e-04,)] [eta: 6 days, 20:44:56, time (data): 0.669 (0.005)] l_g_pix: 89062641830567825579712708608.0000 l_p_8: 42.5889 l_p_16: 84.2349 l_p_32: 215.7977 l_p_64: 542.1631 l_p_128: 2003.3583 l_p_256: 8233.0625 l_p_512: 3601.4683 l_g_gan: 367061799080946564448911360.0000 l_identity: 308879961338093878301421469696.0000 l_d: 0.0033 real_score: 5.7079 fake_score: -36706179447663924365100727664640.0000
2022-09-26 16:29:14,602 INFO: [train..][epoch: 0, iter: 25,395, lr:(2.000e-04,)] [eta: 6 days, 20:44:49, time (data): 0.667 (0.005)] l_g_pix: 124865097521108306265899008.0000 l_p_8: 19.2289 l_p_16: 34.5769 l_p_32: 57.7756 l_p_64: 194.8719 l_p_128: 304.8488 l_p_256: 2695.5586 l_p_512: 1115.3883 l_g_gan: 529913528138758084362240.0000 l_identity: 692407393243843400491335680.0000 l_d: 0.0074 real_score: 4.9007 fake_score: -52991355466748190536578891776.0000
2022-09-26 16:29:15,232 INFO: [train..][epoch: 0, iter: 25,396, lr:(2.000e-04,)] [eta: 6 days, 20:44:44, time (data): 0.666 (0.005)] l_g_pix: 201479360163263791432204288.0000 l_p_8: 24.8919 l_p_16: 28.8519 l_p_32: 53.3912 l_p_64: 150.4925 l_p_128: 250.6766 l_p_256: 2414.5151 l_p_512: 910.5970 l_g_gan: 1068344984468739630039040.0000 l_identity: 449312141556802713194332160.0000 l_d: 0.0140 real_score: 4.2632 fake_score: -106834503065477510458932985856.0000
2022-09-26 16:29:15,817 INFO: [train..][epoch: 0, iter: 25,397, lr:(2.000e-04,)] [eta: 6 days, 20:44:38, time (data): 0.665 (0.005)] l_g_pix: 315442854482541191102464.0000 l_p_8: 11.3647 l_p_16: 25.8573 l_p_32: 32.0721 l_p_64: 43.1945 l_p_128: 152.0919 l_p_256: 1230.8771 l_p_512: 400.0710 l_g_gan: 1090619692524222021632.0000 l_identity: 2922837311084956510846976.0000 l_d: 0.0033 real_score: 5.7230 fake_score: -109061974787346144201539584.0000
2022-09-26 16:29:16,367 INFO: [train..][epoch: 0, iter: 25,398, lr:(2.000e-04,)] [eta: 6 days, 20:44:30, time (data): 0.664 (0.005)] l_g_pix: 208749066502424791875584.0000 l_p_8: 5.2356 l_p_16: 5.0493 l_p_32: 6.6267 l_p_64: 14.4037 l_p_128: 58.6295 l_p_256: 108.9823 l_p_512: 48.3000 l_g_gan: 616688593024957022208.0000 l_identity: 8509477276594693126225920.0000 l_d: 0.0037 real_score: 5.6092 fake_score: -61668858167588596123435008.0000
2022-09-26 16:29:16,915 INFO: [train..][epoch: 0, iter: 25,399, lr:(2.000e-04,)] [eta: 6 days, 20:44:23, time (data): 0.662 (0.005)] l_g_pix: 9798357670623495029229065601024.0000 l_p_8: 62.0921 l_p_16: 128.1049 l_p_32: 213.9745 l_p_64: 196.9399 l_p_128: 1028.9114 l_p_256: 8898.0176 l_p_512: 2603.9932 l_g_gan: 46165717787905648389380898816.0000 l_identity: 45638695379335774869686419718144.0000 l_d: 0.0149 real_score: 4.1993 fake_score: -4616571798284493680223985323737088.0000
2022-09-26 16:29:17,585 INFO: [train..][epoch: 0, iter: 25,400, lr:(2.000e-04,)] [eta: 6 days, 20:44:19, time (data): 0.662 (0.005)] l_g_pix: 3846946580487287916799721472.0000 l_p_8: 21.8706 l_p_16: 47.3401 l_p_32: 81.7814 l_p_64: 398.3118 l_p_128: 686.3022 l_p_256: 2699.2319 l_p_512: 581.3333 l_g_gan: 16233225865663269362991104.0000 l_identity: 10175677378240544157326114816.0000 l_d: 0.0163 real_score: 4.1113 fake_score: -1623322620987951377841133715456.0000
2022-09-26 16:29:18,238 INFO: [train..][epoch: 0, iter: 25,401, lr:(2.000e-04,)] [eta: 6 days, 20:44:15, time (data): 0.662 (0.005)] l_g_pix: 9790416095243452044091064320.0000 l_p_8: 33.2361 l_p_16: 58.6780 l_p_32: 96.8964 l_p_64: 197.7916 l_p_128: 497.8065 l_p_256: 2564.5173 l_p_512: 655.6222 l_g_gan: 35429985730372236176523264.0000 l_identity: 139526907876605017133796032512.0000 l_d: 0.0052 real_score: 5.2565 fake_score: -3542998597313138818654096326656.0000
2022-09-26 16:29:18,819 INFO: [train..][epoch: 0, iter: 25,402, lr:(2.000e-04,)] [eta: 6 days, 20:44:09, time (data): 0.661 (0.005)] l_g_pix: 256505352099096804068425728.0000 l_p_8: 11.5341 l_p_16: 12.2952 l_p_32: 38.7527 l_p_64: 267.2215 l_p_128: 967.5249 l_p_256: 553.5095 l_p_512: 603.1510 l_g_gan: 778085970872078100856832.0000 l_identity: 12989551393089733824004227072.0000 l_d: 0.0083 real_score: 4.7863 fake_score: -77808595537681307894080864256.0000
2022-09-26 16:29:19,446 INFO: [train..][epoch: 0, iter: 25,403, lr:(2.000e-04,)] [eta: 6 days, 20:44:04, time (data): 0.660 (0.005)] l_g_pix: 217397166737277770006528.0000 l_p_8: 7.0779 l_p_16: 5.2101 l_p_32: 15.1025 l_p_64: 53.6728 l_p_128: 117.2748 l_p_256: 110.6142 l_p_512: 162.1773 l_g_gan: 31054052261044944896.0000 l_identity: 11703573671053172441874432.0000 l_d: 0.0171 real_score: 4.0605 fake_score: -3105405313643212246614016.0000
@xinntao commented on GitHub (Oct 11, 2022):
GFPGANv1.2 and v1.3 are converted from another network structure.
More details are at https://github.com/TencentARC/GFPGAN/blob/master/FAQ.md
@fyushan commented on GitHub (Oct 19, 2022):
Hi. XinTao
Thanks for your reply.
But I could't find the original bilinear model or the original trainning model for GFPGANv1.3 ;
I have tried to convert GFPGANv1.3 back to the trainning model, but it didn't work.
Have you shared them?