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pix2pix_cgaxis_normal_lambda

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pix2pix_cgaxis_normal_lambda
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================ Training Loss (Sun Apr  9 01:48:34 2023) ================
(epoch: 1, iters: 100, time: 0.132, data: 0.240) G_GAN: 622.406 G_L1: 23.791 D_real: 28.310 D_fake: 18.202 
(epoch: 1, iters: 200, time: 0.098, data: 0.002) G_GAN: 78.555 G_L1: 22.773 D_real: 6.717 D_fake: 32.334 
(epoch: 1, iters: 300, time: 0.100, data: 0.002) G_GAN: 13.270 G_L1: 20.660 D_real: 2.862 D_fake: 5.424 
(epoch: 1, iters: 400, time: 0.099, data: 0.002) G_GAN: 4.761 G_L1: 17.503 D_real: 2.191 D_fake: 4.338 
(epoch: 1, iters: 500, time: 0.100, data: 0.002) G_GAN: 2.416 G_L1: 14.634 D_real: 1.669 D_fake: 1.511 
(epoch: 1, iters: 600, time: 0.099, data: 0.002) G_GAN: 2.194 G_L1: 11.630 D_real: 1.579 D_fake: 0.665 
(epoch: 1, iters: 700, time: 0.100, data: 0.002) G_GAN: 3.911 G_L1: 10.388 D_real: 0.855 D_fake: 1.654 
(epoch: 1, iters: 800, time: 0.099, data: 0.002) G_GAN: 4.595 G_L1: 7.935 D_real: 0.812 D_fake: 1.347 
(epoch: 2, iters: 16, time: 0.137, data: 0.002) G_GAN: 4.170 G_L1: 8.571 D_real: 1.528 D_fake: 1.583 
(epoch: 2, iters: 116, time: 0.114, data: 0.003) G_GAN: 7.276 G_L1: 8.108 D_real: 0.505 D_fake: 1.658 
================ Training Loss (Sun Apr  9 01:49:50 2023) ================
(epoch: 1, iters: 100, time: 0.134, data: 0.245) G_GAN: 927.832 G_L1: 26.195 D_real: 24.134 D_fake: 67.899 
(epoch: 1, iters: 200, time: 0.098, data: 0.002) G_GAN: 69.550 G_L1: 25.598 D_real: 11.002 D_fake: 23.754 
(epoch: 1, iters: 300, time: 0.101, data: 0.002) G_GAN: 17.760 G_L1: 23.818 D_real: 2.759 D_fake: 8.335 
(epoch: 1, iters: 400, time: 0.099, data: 0.002) G_GAN: 15.726 G_L1: 20.397 D_real: 4.253 D_fake: 7.822 
(epoch: 1, iters: 500, time: 0.100, data: 0.002) G_GAN: 2.113 G_L1: 17.407 D_real: 1.354 D_fake: 2.008 
(epoch: 1, iters: 600, time: 0.099, data: 0.002) G_GAN: 1.782 G_L1: 14.144 D_real: 1.320 D_fake: 1.252 
(epoch: 1, iters: 700, time: 0.101, data: 0.002) G_GAN: 4.970 G_L1: 11.919 D_real: 0.922 D_fake: 2.701 
(epoch: 1, iters: 800, time: 0.099, data: 0.003) G_GAN: 2.969 G_L1: 9.411 D_real: 0.791 D_fake: 0.646 
(epoch: 2, iters: 16, time: 0.139, data: 0.002) G_GAN: 0.352 G_L1: 9.404 D_real: 0.615 D_fake: 0.462 
(epoch: 2, iters: 116, time: 0.116, data: 0.003) G_GAN: 2.010 G_L1: 8.907 D_real: 0.586 D_fake: 0.658 
(epoch: 2, iters: 216, time: 0.098, data: 0.002) G_GAN: 5.595 G_L1: 9.003 D_real: 0.579 D_fake: 1.237 
(epoch: 2, iters: 316, time: 0.099, data: 0.002) G_GAN: 0.926 G_L1: 6.233 D_real: 1.310 D_fake: 0.375 
(epoch: 2, iters: 416, time: 0.102, data: 0.002) G_GAN: 9.430 G_L1: 6.015 D_real: 1.127 D_fake: 1.893 
(epoch: 2, iters: 516, time: 0.099, data: 0.002) G_GAN: 3.206 G_L1: 6.284 D_real: 0.403 D_fake: 0.798 
(epoch: 2, iters: 616, time: 0.098, data: 0.002) G_GAN: 1.042 G_L1: 7.095 D_real: 0.397 D_fake: 0.747 
(epoch: 2, iters: 716, time: 0.099, data: 0.002) G_GAN: 0.785 G_L1: 8.179 D_real: 1.490 D_fake: 0.314 
(epoch: 2, iters: 816, time: 0.100, data: 0.002) G_GAN: 0.891 G_L1: 3.812 D_real: 0.484 D_fake: 0.357 
(epoch: 3, iters: 32, time: 0.142, data: 0.002) G_GAN: 1.482 G_L1: 4.045 D_real: 0.338 D_fake: 0.804 
(epoch: 3, iters: 132, time: 0.102, data: 0.003) G_GAN: 0.424 G_L1: 3.881 D_real: 0.847 D_fake: 0.352 
(epoch: 3, iters: 232, time: 0.115, data: 0.002) G_GAN: 2.755 G_L1: 5.600 D_real: 0.274 D_fake: 1.016 
(epoch: 3, iters: 332, time: 0.103, data: 0.002) G_GAN: 0.435 G_L1: 3.668 D_real: 1.722 D_fake: 0.155 
(epoch: 3, iters: 432, time: 0.102, data: 0.003) G_GAN: 1.876 G_L1: 4.422 D_real: 0.472 D_fake: 0.765 
(epoch: 3, iters: 532, time: 0.100, data: 0.002) G_GAN: 1.694 G_L1: 6.644 D_real: 0.254 D_fake: 0.568 
(epoch: 3, iters: 632, time: 0.103, data: 0.002) G_GAN: 0.461 G_L1: 4.910 D_real: 0.324 D_fake: 0.784 
(epoch: 3, iters: 732, time: 0.099, data: 0.002) G_GAN: 0.078 G_L1: 3.118 D_real: 1.122 D_fake: 0.187 
(epoch: 3, iters: 832, time: 0.101, data: 0.002) G_GAN: 3.610 G_L1: 5.266 D_real: 0.285 D_fake: 1.167 
(epoch: 4, iters: 48, time: 0.136, data: 0.002) G_GAN: 0.597 G_L1: 4.290 D_real: 0.441 D_fake: 0.427 
(epoch: 4, iters: 148, time: 0.099, data: 0.002) G_GAN: 0.396 G_L1: 7.763 D_real: 0.282 D_fake: 0.185 
(epoch: 4, iters: 248, time: 0.100, data: 0.002) G_GAN: 1.474 G_L1: 6.207 D_real: 0.251 D_fake: 0.338 
(epoch: 4, iters: 348, time: 0.121, data: 0.002) G_GAN: 3.116 G_L1: 6.638 D_real: 0.065 D_fake: 0.733 
(epoch: 4, iters: 448, time: 0.099, data: 0.002) G_GAN: 0.552 G_L1: 3.275 D_real: 1.300 D_fake: 0.438 
(epoch: 4, iters: 548, time: 0.099, data: 0.002) G_GAN: 0.699 G_L1: 6.060 D_real: 1.527 D_fake: 0.295 
(epoch: 4, iters: 648, time: 0.100, data: 0.002) G_GAN: 1.158 G_L1: 3.188 D_real: 0.340 D_fake: 0.749 
(epoch: 4, iters: 748, time: 0.104, data: 0.002) G_GAN: 0.368 G_L1: 2.436 D_real: 0.782 D_fake: 0.174 
(epoch: 4, iters: 848, time: 0.100, data: 0.002) G_GAN: 1.201 G_L1: 7.253 D_real: 0.231 D_fake: 0.332 
(epoch: 5, iters: 64, time: 0.146, data: 0.002) G_GAN: 0.311 G_L1: 5.527 D_real: 0.885 D_fake: 0.144 
(epoch: 5, iters: 164, time: 0.100, data: 0.002) G_GAN: 0.277 G_L1: 3.644 D_real: 1.201 D_fake: 0.268 
(epoch: 5, iters: 264, time: 0.102, data: 0.002) G_GAN: 0.355 G_L1: 2.901 D_real: 1.214 D_fake: 0.156 
(epoch: 5, iters: 364, time: 0.101, data: 0.002) G_GAN: 0.275 G_L1: 3.851 D_real: 0.583 D_fake: 0.084 
(epoch: 5, iters: 464, time: 0.125, data: 0.002) G_GAN: 0.066 G_L1: 2.770 D_real: 0.666 D_fake: 0.131 
(epoch: 5, iters: 564, time: 0.099, data: 0.002) G_GAN: 0.238 G_L1: 3.907 D_real: 0.161 D_fake: 0.428 
(epoch: 5, iters: 664, time: 0.101, data: 0.002) G_GAN: 0.561 G_L1: 2.915 D_real: 0.533 D_fake: 0.230 
(epoch: 5, iters: 764, time: 0.100, data: 0.002) G_GAN: 0.255 G_L1: 2.163 D_real: 1.487 D_fake: 0.061 
(epoch: 5, iters: 864, time: 0.100, data: 0.003) G_GAN: 0.130 G_L1: 2.951 D_real: 0.608 D_fake: 0.145 
(epoch: 6, iters: 80, time: 0.141, data: 0.002) G_GAN: 0.164 G_L1: 7.209 D_real: 0.726 D_fake: 0.126 
(epoch: 6, iters: 180, time: 0.100, data: 0.002) G_GAN: 0.614 G_L1: 4.471 D_real: 0.214 D_fake: 0.244 
(epoch: 6, iters: 280, time: 0.103, data: 0.002) G_GAN: 0.600 G_L1: 3.313 D_real: 0.381 D_fake: 0.434 
(epoch: 6, iters: 380, time: 0.100, data: 0.004) G_GAN: 0.983 G_L1: 7.470 D_real: 0.133 D_fake: 0.297 
(epoch: 6, iters: 480, time: 0.101, data: 0.002) G_GAN: 0.495 G_L1: 2.234 D_real: 0.107 D_fake: 0.601 
(epoch: 6, iters: 580, time: 0.120, data: 0.002) G_GAN: 0.694 G_L1: 3.240 D_real: 0.393 D_fake: 0.245 
(epoch: 6, iters: 680, time: 0.103, data: 0.002) G_GAN: 0.218 G_L1: 3.046 D_real: 1.193 D_fake: 0.154 
(epoch: 6, iters: 780, time: 0.100, data: 0.002) G_GAN: 1.418 G_L1: 4.505 D_real: 0.168 D_fake: 0.366 
(epoch: 6, iters: 880, time: 0.101, data: 0.002) G_GAN: 0.199 G_L1: 4.766 D_real: 1.095 D_fake: 0.413 
(epoch: 7, iters: 96, time: 0.139, data: 0.002) G_GAN: 0.726 G_L1: 5.711 D_real: 0.092 D_fake: 0.802 
(epoch: 7, iters: 196, time: 0.098, data: 0.002) G_GAN: 0.640 G_L1: 5.080 D_real: 0.587 D_fake: 0.115 
(epoch: 7, iters: 296, time: 0.102, data: 0.002) G_GAN: 1.112 G_L1: 3.605 D_real: 0.255 D_fake: 0.297 
(epoch: 7, iters: 396, time: 0.099, data: 0.002) G_GAN: 0.732 G_L1: 5.783 D_real: 0.121 D_fake: 0.204 
(epoch: 7, iters: 496, time: 0.104, data: 0.002) G_GAN: 0.068 G_L1: 2.871 D_real: 1.078 D_fake: 0.081 
(epoch: 7, iters: 596, time: 0.098, data: 0.002) G_GAN: 0.321 G_L1: 4.093 D_real: 0.562 D_fake: 0.072 
(epoch: 7, iters: 696, time: 0.117, data: 0.002) G_GAN: 0.482 G_L1: 4.253 D_real: 0.713 D_fake: 0.087 
(epoch: 7, iters: 796, time: 0.100, data: 0.002) G_GAN: 0.340 G_L1: 3.532 D_real: 0.424 D_fake: 0.038 
(epoch: 8, iters: 12, time: 0.135, data: 0.002) G_GAN: 0.974 G_L1: 4.945 D_real: 0.090 D_fake: 0.115 
(epoch: 8, iters: 112, time: 0.100, data: 0.002) G_GAN: 1.031 G_L1: 5.161 D_real: 0.117 D_fake: 0.081 
(epoch: 8, iters: 212, time: 0.100, data: 0.002) G_GAN: 2.704 G_L1: 7.913 D_real: 0.384 D_fake: 0.271 
(epoch: 8, iters: 312, time: 0.099, data: 0.002) G_GAN: 1.138 G_L1: 5.313 D_real: 0.272 D_fake: 0.068 
(epoch: 8, iters: 412, time: 0.104, data: 0.002) G_GAN: 1.220 G_L1: 4.859 D_real: 0.039 D_fake: 0.158 
(epoch: 8, iters: 512, time: 0.103, data: 0.002) G_GAN: 0.139 G_L1: 3.914 D_real: 1.481 D_fake: 0.129 
(epoch: 8, iters: 612, time: 0.100, data: 0.002) G_GAN: 0.235 G_L1: 4.727 D_real: 0.315 D_fake: 0.057 
(epoch: 8, iters: 712, time: 0.102, data: 0.002) G_GAN: 0.299 G_L1: 2.921 D_real: 0.738 D_fake: 0.092 
(epoch: 8, iters: 812, time: 0.118, data: 0.002) G_GAN: 0.088 G_L1: 3.319 D_real: 0.557 D_fake: 0.050 
(epoch: 9, iters: 28, time: 0.141, data: 0.002) G_GAN: 0.571 G_L1: 3.508 D_real: 0.096 D_fake: 0.077 
(epoch: 9, iters: 128, time: 0.100, data: 0.001) G_GAN: 1.107 G_L1: 8.709 D_real: 0.054 D_fake: 0.065 
(epoch: 9, iters: 228, time: 0.103, data: 0.002) G_GAN: 1.682 G_L1: 5.384 D_real: 0.160 D_fake: 0.066 
(epoch: 9, iters: 328, time: 0.106, data: 0.002) G_GAN: 0.708 G_L1: 2.382 D_real: 0.174 D_fake: 0.286 
(epoch: 9, iters: 428, time: 0.101, data: 0.002) G_GAN: 0.038 G_L1: 2.871 D_real: 0.605 D_fake: 0.048 
(epoch: 9, iters: 528, time: 0.104, data: 0.002) G_GAN: 0.015 G_L1: 3.067 D_real: 0.174 D_fake: 0.349 
(epoch: 9, iters: 628, time: 0.128, data: 0.002) G_GAN: 2.165 G_L1: 3.939 D_real: 0.159 D_fake: 0.860 
(epoch: 9, iters: 728, time: 0.101, data: 0.002) G_GAN: 1.121 G_L1: 1.632 D_real: 0.124 D_fake: 1.285 
(epoch: 9, iters: 828, time: 0.106, data: 0.002) G_GAN: 0.203 G_L1: 2.204 D_real: 0.230 D_fake: 0.197 
(epoch: 10, iters: 44, time: 0.145, data: 0.002) G_GAN: 0.520 G_L1: 4.015 D_real: 0.648 D_fake: 0.200 
(epoch: 10, iters: 144, time: 0.100, data: 0.002) G_GAN: 1.251 G_L1: 5.073 D_real: 0.210 D_fake: 0.045 
(epoch: 10, iters: 244, time: 0.106, data: 0.002) G_GAN: 1.154 G_L1: 4.016 D_real: 0.118 D_fake: 0.042 
(epoch: 10, iters: 344, time: 0.102, data: 0.002) G_GAN: 0.375 G_L1: 1.947 D_real: 0.343 D_fake: 0.201 
(epoch: 10, iters: 444, time: 0.100, data: 0.002) G_GAN: 0.755 G_L1: 4.107 D_real: 0.119 D_fake: 0.160 
(epoch: 10, iters: 544, time: 0.101, data: 0.002) G_GAN: 0.823 G_L1: 2.828 D_real: 0.085 D_fake: 0.539 
(epoch: 10, iters: 644, time: 0.101, data: 0.002) G_GAN: 0.481 G_L1: 4.132 D_real: 0.357 D_fake: 0.025 
(epoch: 10, iters: 744, time: 0.102, data: 0.003) G_GAN: 2.526 G_L1: 3.917 D_real: 0.116 D_fake: 0.220 
(epoch: 10, iters: 844, time: 0.100, data: 0.002) G_GAN: 0.159 G_L1: 4.525 D_real: 0.396 D_fake: 0.055 
(epoch: 11, iters: 60, time: 0.147, data: 0.002) G_GAN: 0.227 G_L1: 3.851 D_real: 0.660 D_fake: 0.065 
(epoch: 11, iters: 160, time: 0.120, data: 0.002) G_GAN: 0.965 G_L1: 4.227 D_real: 0.132 D_fake: 0.025 
(epoch: 11, iters: 260, time: 0.102, data: 0.002) G_GAN: 0.641 G_L1: 1.904 D_real: 0.369 D_fake: 0.341 
(epoch: 11, iters: 360, time: 0.103, data: 0.002) G_GAN: 0.452 G_L1: 4.005 D_real: 0.165 D_fake: 0.141 
(epoch: 11, iters: 460, time: 0.102, data: 0.002) G_GAN: 0.296 G_L1: 2.178 D_real: 0.237 D_fake: 0.303 
(epoch: 11, iters: 560, time: 0.104, data: 0.002) G_GAN: 1.550 G_L1: 4.463 D_real: 0.065 D_fake: 0.048 
(epoch: 11, iters: 660, time: 0.106, data: 0.002) G_GAN: 0.250 G_L1: 2.475 D_real: 0.425 D_fake: 0.136 
(epoch: 11, iters: 760, time: 0.099, data: 0.002) G_GAN: 0.636 G_L1: 3.963 D_real: 0.856 D_fake: 0.087 
(epoch: 11, iters: 860, time: 0.103, data: 0.002) G_GAN: 0.329 G_L1: 2.779 D_real: 0.117 D_fake: 0.340 
(epoch: 12, iters: 76, time: 0.145, data: 0.002) G_GAN: 0.402 G_L1: 6.188 D_real: 0.251 D_fake: 0.061 
(epoch: 12, iters: 176, time: 0.101, data: 0.002) G_GAN: 0.757 G_L1: 4.378 D_real: 0.183 D_fake: 0.056 
(epoch: 12, iters: 276, time: 0.121, data: 0.002) G_GAN: 0.447 G_L1: 3.939 D_real: 0.084 D_fake: 0.037 
(epoch: 12, iters: 376, time: 0.099, data: 0.002) G_GAN: 0.632 G_L1: 3.266 D_real: 0.041 D_fake: 0.457 
(epoch: 12, iters: 476, time: 0.101, data: 0.002) G_GAN: 0.319 G_L1: 1.774 D_real: 0.219 D_fake: 0.290 
(epoch: 12, iters: 576, time: 0.102, data: 0.002) G_GAN: 0.199 G_L1: 2.554 D_real: 0.696 D_fake: 0.032 
(epoch: 12, iters: 676, time: 0.107, data: 0.002) G_GAN: 0.835 G_L1: 3.591 D_real: 0.139 D_fake: 0.243 
(epoch: 12, iters: 776, time: 0.101, data: 0.002) G_GAN: 0.791 G_L1: 6.997 D_real: 0.176 D_fake: 0.053 
(epoch: 12, iters: 876, time: 0.101, data: 0.002) G_GAN: 1.516 G_L1: 4.558 D_real: 0.090 D_fake: 0.135 
(epoch: 13, iters: 92, time: 0.157, data: 0.002) G_GAN: 0.773 G_L1: 4.114 D_real: 0.067 D_fake: 0.014 
(epoch: 13, iters: 192, time: 0.100, data: 0.002) G_GAN: 0.502 G_L1: 4.140 D_real: 0.508 D_fake: 0.009 
(epoch: 13, iters: 292, time: 0.103, data: 0.002) G_GAN: 0.398 G_L1: 2.701 D_real: 0.159 D_fake: 0.246 
(epoch: 13, iters: 392, time: 0.121, data: 0.002) G_GAN: 1.030 G_L1: 3.790 D_real: 0.037 D_fake: 0.177 
(epoch: 13, iters: 492, time: 0.100, data: 0.002) G_GAN: 0.283 G_L1: 1.373 D_real: 0.113 D_fake: 0.519 
(epoch: 13, iters: 592, time: 0.102, data: 0.002) G_GAN: 0.519 G_L1: 5.430 D_real: 0.182 D_fake: 0.053 
(epoch: 13, iters: 692, time: 0.101, data: 0.003) G_GAN: 1.054 G_L1: 6.358 D_real: 0.136 D_fake: 0.591 
(epoch: 13, iters: 792, time: 0.103, data: 0.002) G_GAN: 0.398 G_L1: 2.958 D_real: 0.255 D_fake: 0.136 
(epoch: 14, iters: 8, time: 0.150, data: 0.002) G_GAN: 0.395 G_L1: 4.356 D_real: 0.133 D_fake: 0.434 
(epoch: 14, iters: 108, time: 0.100, data: 0.002) G_GAN: 1.255 G_L1: 5.898 D_real: 0.027 D_fake: 0.050 
(epoch: 14, iters: 208, time: 0.100, data: 0.002) G_GAN: 0.132 G_L1: 3.452 D_real: 0.970 D_fake: 0.038 
(epoch: 14, iters: 308, time: 0.101, data: 0.002) G_GAN: 0.431 G_L1: 5.806 D_real: 0.268 D_fake: 0.089 
(epoch: 14, iters: 408, time: 0.100, data: 0.002) G_GAN: 0.528 G_L1: 3.536 D_real: 0.192 D_fake: 0.115 
(epoch: 14, iters: 508, time: 0.120, data: 0.002) G_GAN: 0.666 G_L1: 5.296 D_real: 0.095 D_fake: 0.245 
(epoch: 14, iters: 608, time: 0.102, data: 0.002) G_GAN: 0.834 G_L1: 3.410 D_real: 0.123 D_fake: 0.141 
(epoch: 14, iters: 708, time: 0.100, data: 0.002) G_GAN: 0.276 G_L1: 2.873 D_real: 0.033 D_fake: 1.298 
(epoch: 14, iters: 808, time: 0.100, data: 0.002) G_GAN: 0.734 G_L1: 5.100 D_real: 0.094 D_fake: 0.048 
(epoch: 15, iters: 24, time: 0.140, data: 0.002) G_GAN: 0.272 G_L1: 3.939 D_real: 0.049 D_fake: 0.193 
(epoch: 15, iters: 124, time: 0.098, data: 0.001) G_GAN: 0.515 G_L1: 3.076 D_real: 0.166 D_fake: 0.092 
(epoch: 15, iters: 224, time: 0.098, data: 0.002) G_GAN: 0.050 G_L1: 2.695 D_real: 0.641 D_fake: 0.138 
(epoch: 15, iters: 324, time: 0.103, data: 0.002) G_GAN: 0.180 G_L1: 3.345 D_real: 0.274 D_fake: 0.300 
(epoch: 15, iters: 424, time: 0.099, data: 0.002) G_GAN: 0.672 G_L1: 4.484 D_real: 0.043 D_fake: 0.097 
(epoch: 15, iters: 524, time: 0.106, data: 0.002) G_GAN: 0.425 G_L1: 3.123 D_real: 0.717 D_fake: 0.023 
(epoch: 15, iters: 624, time: 0.124, data: 0.002) G_GAN: 0.108 G_L1: 1.706 D_real: 0.448 D_fake: 0.164 
(epoch: 15, iters: 724, time: 0.102, data: 0.002) G_GAN: 0.006 G_L1: 1.534 D_real: 0.725 D_fake: 0.043 
(epoch: 15, iters: 824, time: 0.100, data: 0.002) G_GAN: 0.737 G_L1: 2.393 D_real: 0.152 D_fake: 0.301 
(epoch: 16, iters: 40, time: 0.142, data: 0.002) G_GAN: 1.025 G_L1: 5.150 D_real: 0.138 D_fake: 0.159 
(epoch: 16, iters: 140, time: 0.100, data: 0.002) G_GAN: 0.640 G_L1: 3.658 D_real: 0.085 D_fake: 0.491 
(epoch: 16, iters: 240, time: 0.105, data: 0.002) G_GAN: 0.309 G_L1: 3.267 D_real: 0.357 D_fake: 0.034 
(epoch: 16, iters: 340, time: 0.102, data: 0.002) G_GAN: 0.276 G_L1: 1.882 D_real: 0.209 D_fake: 0.400 
(epoch: 16, iters: 440, time: 0.101, data: 0.002) G_GAN: 0.547 G_L1: 4.127 D_real: 0.082 D_fake: 0.192 
(epoch: 16, iters: 540, time: 0.102, data: 0.002) G_GAN: 0.302 G_L1: 3.042 D_real: 0.322 D_fake: 0.176 
(epoch: 16, iters: 640, time: 0.103, data: 0.002) G_GAN: 0.463 G_L1: 3.344 D_real: 0.163 D_fake: 0.026 
(epoch: 16, iters: 740, time: 0.129, data: 0.002) G_GAN: 0.291 G_L1: 2.585 D_real: 0.195 D_fake: 0.105 
(epoch: 16, iters: 840, time: 0.101, data: 0.002) G_GAN: 0.744 G_L1: 4.543 D_real: 0.009 D_fake: 0.072 
(epoch: 17, iters: 56, time: 0.141, data: 0.002) G_GAN: 0.727 G_L1: 3.311 D_real: 0.094 D_fake: 0.209 
(epoch: 17, iters: 156, time: 0.100, data: 0.002) G_GAN: 0.438 G_L1: 5.029 D_real: 0.027 D_fake: 0.031 
(epoch: 17, iters: 256, time: 0.101, data: 0.002) G_GAN: 0.155 G_L1: 1.942 D_real: 0.397 D_fake: 0.232 
(epoch: 17, iters: 356, time: 0.097, data: 0.002) G_GAN: 0.265 G_L1: 1.533 D_real: 0.290 D_fake: 0.171 
(epoch: 17, iters: 456, time: 0.106, data: 0.002) G_GAN: 0.659 G_L1: 2.446 D_real: 0.265 D_fake: 0.093 
(epoch: 17, iters: 556, time: 0.100, data: 0.002) G_GAN: 0.581 G_L1: 5.448 D_real: 0.031 D_fake: 0.139 
(epoch: 17, iters: 656, time: 0.102, data: 0.002) G_GAN: 0.569 G_L1: 3.582 D_real: 0.492 D_fake: 0.030 
(epoch: 17, iters: 756, time: 0.104, data: 0.002) G_GAN: 0.426 G_L1: 3.303 D_real: 0.138 D_fake: 0.266 
(epoch: 17, iters: 856, time: 0.125, data: 0.002) G_GAN: 0.522 G_L1: 3.065 D_real: 0.230 D_fake: 0.059