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+================ Training Loss (Wed Oct 16 08:37:52 2024) ================
+(epoch: 1, iters: 100, time: 0.297, data: 0.404) G_GAN: 0.464 G_L1: 3.162 D_real: 0.404 D_fake: 1.215
+(epoch: 1, iters: 200, time: 0.294, data: 0.016) G_GAN: 0.472 G_L1: 7.198 D_real: 0.318 D_fake: 1.260
+(epoch: 1, iters: 300, time: 0.293, data: 0.019) G_GAN: 0.679 G_L1: 6.523 D_real: 0.254 D_fake: 1.091
+(epoch: 1, iters: 400, time: 0.517, data: 0.016) G_GAN: 0.695 G_L1: 5.563 D_real: 0.330 D_fake: 1.280
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+(epoch: 1, iters: 600, time: 0.297, data: 0.017) G_GAN: 0.800 G_L1: 3.221 D_real: 0.556 D_fake: 1.236
+(epoch: 1, iters: 700, time: 0.284, data: 0.015) G_GAN: 1.200 G_L1: 5.817 D_real: 0.149 D_fake: 1.736
+(epoch: 1, iters: 800, time: 0.391, data: 0.015) G_GAN: 0.889 G_L1: 4.559 D_real: 0.332 D_fake: 0.726
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+(epoch: 26, iters: 15900, time: 0.295, data: 0.014) G_GAN: 0.963 G_L1: 2.020 D_real: 0.751 D_fake: 0.477
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+(epoch: 26, iters: 17100, time: 0.299, data: 0.014) G_GAN: 0.792 G_L1: 3.383 D_real: 0.613 D_fake: 0.697
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+(epoch: 26, iters: 17300, time: 0.300, data: 0.017) G_GAN: 0.790 G_L1: 3.371 D_real: 0.534 D_fake: 0.755
+(epoch: 26, iters: 17400, time: 0.282, data: 0.018) G_GAN: 0.825 G_L1: 1.997 D_real: 0.653 D_fake: 0.553
+(epoch: 26, iters: 17500, time: 0.284, data: 0.017) G_GAN: 0.850 G_L1: 2.646 D_real: 0.718 D_fake: 0.584
+(epoch: 26, iters: 17600, time: 0.516, data: 0.015) G_GAN: 0.881 G_L1: 1.817 D_real: 0.867 D_fake: 0.479
+(epoch: 26, iters: 17700, time: 0.285, data: 0.017) G_GAN: 0.807 G_L1: 1.788 D_real: 0.757 D_fake: 0.569
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+(epoch: 26, iters: 31200, time: 0.387, data: 0.018) G_GAN: 0.770 G_L1: 2.229 D_real: 0.658 D_fake: 0.622
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+(epoch: 26, iters: 31400, time: 0.303, data: 0.017) G_GAN: 0.783 G_L1: 2.586 D_real: 0.659 D_fake: 0.770
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+(epoch: 26, iters: 31700, time: 0.302, data: 0.018) G_GAN: 0.876 G_L1: 3.362 D_real: 0.813 D_fake: 0.518
+(epoch: 26, iters: 31800, time: 0.294, data: 0.017) G_GAN: 0.820 G_L1: 2.841 D_real: 0.462 D_fake: 0.670
+(epoch: 26, iters: 31900, time: 0.292, data: 0.017) G_GAN: 0.849 G_L1: 2.622 D_real: 0.758 D_fake: 0.597
+(epoch: 26, iters: 32000, time: 0.412, data: 0.018) G_GAN: 0.670 G_L1: 2.442 D_real: 0.685 D_fake: 0.722
+(epoch: 26, iters: 32100, time: 0.299, data: 0.032) G_GAN: 0.887 G_L1: 2.900 D_real: 0.668 D_fake: 0.515
+(epoch: 26, iters: 32200, time: 0.307, data: 0.017) G_GAN: 0.836 G_L1: 2.697 D_real: 0.805 D_fake: 0.531
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+(epoch: 27, iters: 884, time: 0.304, data: 0.020) G_GAN: 0.772 G_L1: 2.679 D_real: 0.873 D_fake: 0.642
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+(epoch: 38, iters: 9908, time: 0.295, data: 0.019) G_GAN: 0.873 G_L1: 2.376 D_real: 0.688 D_fake: 0.539
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+(epoch: 38, iters: 16308, time: 0.300, data: 0.019) G_GAN: 0.897 G_L1: 2.715 D_real: 0.699 D_fake: 0.619
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+(epoch: 38, iters: 17708, time: 0.298, data: 0.017) G_GAN: 0.891 G_L1: 3.668 D_real: 0.497 D_fake: 0.759
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+(epoch: 38, iters: 17908, time: 0.301, data: 0.018) G_GAN: 0.808 G_L1: 2.877 D_real: 0.498 D_fake: 0.989
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+(epoch: 38, iters: 18408, time: 0.304, data: 0.017) G_GAN: 0.898 G_L1: 1.993 D_real: 0.753 D_fake: 0.518
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+(epoch: 38, iters: 18608, time: 0.414, data: 0.021) G_GAN: 0.805 G_L1: 1.524 D_real: 0.822 D_fake: 0.549
+(epoch: 38, iters: 18708, time: 0.303, data: 0.019) G_GAN: 0.833 G_L1: 2.478 D_real: 0.788 D_fake: 0.528
+(epoch: 38, iters: 18808, time: 0.301, data: 0.019) G_GAN: 0.822 G_L1: 3.107 D_real: 0.595 D_fake: 0.761
+(epoch: 38, iters: 18908, time: 0.302, data: 0.019) G_GAN: 0.777 G_L1: 2.634 D_real: 0.637 D_fake: 0.664
+(epoch: 38, iters: 19008, time: 0.412, data: 0.020) G_GAN: 0.929 G_L1: 1.860 D_real: 0.812 D_fake: 0.518
+(epoch: 38, iters: 19108, time: 0.302, data: 0.020) G_GAN: 0.895 G_L1: 3.729 D_real: 0.648 D_fake: 0.643
+(epoch: 38, iters: 19208, time: 0.304, data: 0.018) G_GAN: 0.918 G_L1: 2.721 D_real: 0.977 D_fake: 0.464
+(epoch: 38, iters: 19308, time: 0.301, data: 0.019) G_GAN: 0.752 G_L1: 2.234 D_real: 0.644 D_fake: 0.689
+(epoch: 38, iters: 19408, time: 0.558, data: 0.019) G_GAN: 0.759 G_L1: 2.847 D_real: 0.614 D_fake: 0.745
+(epoch: 38, iters: 19508, time: 0.302, data: 0.019) G_GAN: 0.874 G_L1: 2.900 D_real: 0.761 D_fake: 0.543
+(epoch: 38, iters: 19608, time: 0.292, data: 0.020) G_GAN: 0.728 G_L1: 2.859 D_real: 0.547 D_fake: 0.807
+(epoch: 38, iters: 19708, time: 0.293, data: 0.016) G_GAN: 0.805 G_L1: 2.376 D_real: 0.612 D_fake: 0.600
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+(epoch: 38, iters: 32808, time: 0.305, data: 0.018) G_GAN: 0.806 G_L1: 2.872 D_real: 0.775 D_fake: 0.545
+(epoch: 38, iters: 32908, time: 0.304, data: 0.024) G_GAN: 0.877 G_L1: 3.121 D_real: 0.489 D_fake: 0.732
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+(epoch: 38, iters: 33508, time: 0.294, data: 0.018) G_GAN: 0.742 G_L1: 2.462 D_real: 0.683 D_fake: 0.782
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+(epoch: 38, iters: 33908, time: 0.309, data: 0.018) G_GAN: 0.837 G_L1: 2.956 D_real: 0.692 D_fake: 0.589
+(epoch: 38, iters: 34008, time: 0.303, data: 0.019) G_GAN: 0.907 G_L1: 3.009 D_real: 0.718 D_fake: 0.601
+(epoch: 38, iters: 34108, time: 0.290, data: 0.018) G_GAN: 0.887 G_L1: 3.125 D_real: 0.699 D_fake: 0.594
+(epoch: 38, iters: 34208, time: 0.414, data: 0.019) G_GAN: 0.809 G_L1: 2.719 D_real: 0.740 D_fake: 0.602
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+(epoch: 38, iters: 47908, time: 0.302, data: 0.019) G_GAN: 0.944 G_L1: 2.309 D_real: 0.590 D_fake: 0.627
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+(epoch: 38, iters: 48408, time: 0.304, data: 0.018) G_GAN: 1.109 G_L1: 2.573 D_real: 0.558 D_fake: 0.468
+(epoch: 38, iters: 48508, time: 0.302, data: 0.018) G_GAN: 0.804 G_L1: 2.084 D_real: 0.679 D_fake: 0.618
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+(epoch: 41, iters: 55460, time: 0.301, data: 0.024) G_GAN: 0.693 G_L1: 1.660 D_real: 0.646 D_fake: 0.758
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+(epoch: 41, iters: 55960, time: 0.298, data: 0.019) G_GAN: 0.933 G_L1: 3.029 D_real: 0.670 D_fake: 0.577
+(epoch: 41, iters: 56060, time: 0.302, data: 0.017) G_GAN: 0.891 G_L1: 2.755 D_real: 0.629 D_fake: 0.540
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+(epoch: 41, iters: 56260, time: 0.302, data: 0.016) G_GAN: 0.853 G_L1: 3.438 D_real: 0.672 D_fake: 0.653
+(epoch: 41, iters: 56360, time: 0.304, data: 0.033) G_GAN: 0.870 G_L1: 2.832 D_real: 0.701 D_fake: 0.736
+(epoch: 41, iters: 56460, time: 0.300, data: 0.019) G_GAN: 1.009 G_L1: 2.443 D_real: 0.914 D_fake: 0.613
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+(epoch: 45, iters: 18296, time: 0.303, data: 0.016) G_GAN: 0.860 G_L1: 2.440 D_real: 0.659 D_fake: 0.616
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+(epoch: 49, iters: 51732, time: 0.296, data: 0.019) G_GAN: 1.014 G_L1: 2.612 D_real: 0.803 D_fake: 0.595
+(epoch: 49, iters: 51832, time: 0.281, data: 0.018) G_GAN: 1.069 G_L1: 3.143 D_real: 0.372 D_fake: 0.704
+(epoch: 49, iters: 51932, time: 0.290, data: 0.016) G_GAN: 1.012 G_L1: 2.458 D_real: 0.392 D_fake: 0.840
+(epoch: 49, iters: 52032, time: 0.378, data: 0.016) G_GAN: 1.010 G_L1: 2.008 D_real: 0.603 D_fake: 0.790
+(epoch: 49, iters: 52132, time: 0.295, data: 0.018) G_GAN: 1.376 G_L1: 3.007 D_real: 0.554 D_fake: 0.435
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+(epoch: 49, iters: 52332, time: 0.289, data: 0.017) G_GAN: 1.408 G_L1: 3.659 D_real: 0.623 D_fake: 0.380
+(epoch: 49, iters: 52432, time: 0.376, data: 0.016) G_GAN: 1.194 G_L1: 2.724 D_real: 0.611 D_fake: 0.570
+(epoch: 49, iters: 52532, time: 0.277, data: 0.015) G_GAN: 1.246 G_L1: 3.467 D_real: 0.750 D_fake: 0.581
+(epoch: 49, iters: 52632, time: 0.291, data: 0.015) G_GAN: 1.260 G_L1: 2.760 D_real: 0.598 D_fake: 0.471
+(epoch: 49, iters: 52732, time: 0.298, data: 0.020) G_GAN: 1.254 G_L1: 4.071 D_real: 0.458 D_fake: 0.669
+(epoch: 49, iters: 52832, time: 0.380, data: 0.017) G_GAN: 1.355 G_L1: 2.548 D_real: 0.641 D_fake: 0.355
+(epoch: 49, iters: 52932, time: 0.284, data: 0.015) G_GAN: 1.611 G_L1: 3.765 D_real: 0.673 D_fake: 0.306
+(epoch: 49, iters: 53032, time: 0.281, data: 0.017) G_GAN: 1.203 G_L1: 3.343 D_real: 0.617 D_fake: 0.455
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+(epoch: 49, iters: 53332, time: 0.293, data: 0.016) G_GAN: 1.311 G_L1: 2.810 D_real: 0.510 D_fake: 0.432
+(epoch: 49, iters: 53432, time: 0.271, data: 0.018) G_GAN: 1.562 G_L1: 2.813 D_real: 0.667 D_fake: 0.293
+(epoch: 49, iters: 53532, time: 0.250, data: 0.014) G_GAN: 1.176 G_L1: 3.480 D_real: 0.735 D_fake: 0.591
+(epoch: 49, iters: 53632, time: 0.405, data: 0.013) G_GAN: 1.421 G_L1: 4.737 D_real: 0.424 D_fake: 0.614
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+(epoch: 49, iters: 53832, time: 0.279, data: 0.020) G_GAN: 1.298 G_L1: 3.667 D_real: 0.450 D_fake: 0.430
+(epoch: 49, iters: 53932, time: 0.284, data: 0.019) G_GAN: 1.212 G_L1: 3.029 D_real: 0.481 D_fake: 0.491
+(epoch: 49, iters: 54032, time: 0.407, data: 0.016) G_GAN: 1.275 G_L1: 2.447 D_real: 0.308 D_fake: 0.505
+(epoch: 49, iters: 54132, time: 0.281, data: 0.018) G_GAN: 1.469 G_L1: 2.959 D_real: 0.375 D_fake: 0.634
+(epoch: 49, iters: 54232, time: 0.294, data: 0.015) G_GAN: 1.212 G_L1: 3.143 D_real: 0.542 D_fake: 0.468
+(epoch: 49, iters: 54332, time: 0.293, data: 0.018) G_GAN: 1.198 G_L1: 2.548 D_real: 0.636 D_fake: 0.418
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+(epoch: 51, iters: 19800, time: 0.301, data: 0.017) G_GAN: 1.620 G_L1: 2.930 D_real: 0.255 D_fake: 0.376
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+(epoch: 51, iters: 20200, time: 0.292, data: 0.017) G_GAN: 1.494 G_L1: 4.856 D_real: 0.387 D_fake: 0.467
+(epoch: 51, iters: 20300, time: 0.299, data: 0.017) G_GAN: 1.446 G_L1: 3.348 D_real: 0.623 D_fake: 0.488
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+(epoch: 51, iters: 20500, time: 0.303, data: 0.018) G_GAN: 1.473 G_L1: 3.348 D_real: 0.745 D_fake: 0.478
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+(epoch: 51, iters: 20700, time: 0.294, data: 0.018) G_GAN: 1.690 G_L1: 3.413 D_real: 0.538 D_fake: 0.406
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+(epoch: 51, iters: 20900, time: 0.302, data: 0.019) G_GAN: 1.811 G_L1: 2.347 D_real: 0.390 D_fake: 0.336
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+(epoch: 51, iters: 21100, time: 0.292, data: 0.018) G_GAN: 1.407 G_L1: 3.699 D_real: 0.661 D_fake: 0.339
+(epoch: 51, iters: 21200, time: 0.566, data: 0.018) G_GAN: 1.267 G_L1: 1.994 D_real: 0.489 D_fake: 0.640
+(epoch: 51, iters: 21300, time: 0.299, data: 0.021) G_GAN: 1.550 G_L1: 3.388 D_real: 0.559 D_fake: 0.328
+(epoch: 51, iters: 21400, time: 0.291, data: 0.017) G_GAN: 1.427 G_L1: 2.732 D_real: 0.337 D_fake: 0.710
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+(epoch: 51, iters: 21600, time: 0.429, data: 0.018) G_GAN: 1.494 G_L1: 4.122 D_real: 1.027 D_fake: 0.261
+(epoch: 51, iters: 21700, time: 0.291, data: 0.031) G_GAN: 1.532 G_L1: 3.854 D_real: 0.306 D_fake: 0.524
+(epoch: 51, iters: 21800, time: 0.301, data: 0.016) G_GAN: 1.878 G_L1: 3.413 D_real: 0.330 D_fake: 0.347
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+(epoch: 52, iters: 19884, time: 0.291, data: 0.019) G_GAN: 1.119 G_L1: 3.291 D_real: 0.611 D_fake: 0.606
+(epoch: 52, iters: 19984, time: 0.415, data: 0.018) G_GAN: 1.435 G_L1: 3.976 D_real: 0.458 D_fake: 0.632
+(epoch: 52, iters: 20084, time: 0.280, data: 0.022) G_GAN: 1.547 G_L1: 5.078 D_real: 0.602 D_fake: 0.404
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+(epoch: 52, iters: 33384, time: 0.301, data: 0.026) G_GAN: 1.510 G_L1: 2.918 D_real: 0.334 D_fake: 0.630
+(epoch: 52, iters: 33484, time: 0.307, data: 0.024) G_GAN: 1.353 G_L1: 3.293 D_real: 0.800 D_fake: 0.344
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+(epoch: 52, iters: 33684, time: 0.303, data: 0.018) G_GAN: 1.602 G_L1: 4.296 D_real: 0.409 D_fake: 0.357
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+(epoch: 52, iters: 33884, time: 0.305, data: 0.020) G_GAN: 1.443 G_L1: 2.991 D_real: 0.560 D_fake: 0.374
+(epoch: 52, iters: 33984, time: 0.391, data: 0.020) G_GAN: 1.291 G_L1: 2.920 D_real: 0.659 D_fake: 0.494
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+(epoch: 52, iters: 34284, time: 0.295, data: 0.020) G_GAN: 1.446 G_L1: 3.417 D_real: 0.721 D_fake: 0.279
+(epoch: 52, iters: 34384, time: 0.412, data: 0.023) G_GAN: 1.505 G_L1: 4.288 D_real: 0.334 D_fake: 0.674
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+(epoch: 52, iters: 34584, time: 0.290, data: 0.019) G_GAN: 2.559 G_L1: 4.935 D_real: 0.213 D_fake: 0.427
+(epoch: 52, iters: 34684, time: 0.292, data: 0.016) G_GAN: 1.382 G_L1: 3.544 D_real: 0.312 D_fake: 0.602
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+(epoch: 52, iters: 46684, time: 0.304, data: 0.019) G_GAN: 1.918 G_L1: 4.101 D_real: 0.354 D_fake: 0.753
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+(epoch: 52, iters: 46884, time: 0.301, data: 0.020) G_GAN: 1.378 G_L1: 3.180 D_real: 0.559 D_fake: 0.553
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+(epoch: 52, iters: 47684, time: 0.305, data: 0.019) G_GAN: 1.385 G_L1: 2.900 D_real: 0.587 D_fake: 0.440
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+(epoch: 52, iters: 47884, time: 0.293, data: 0.019) G_GAN: 1.932 G_L1: 3.059 D_real: 0.444 D_fake: 0.875
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+(epoch: 52, iters: 48184, time: 0.298, data: 0.014) G_GAN: 1.449 G_L1: 3.376 D_real: 0.627 D_fake: 0.342
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+(epoch: 52, iters: 48584, time: 0.298, data: 0.018) G_GAN: 1.663 G_L1: 3.850 D_real: 0.844 D_fake: 0.306
+(epoch: 52, iters: 48684, time: 0.297, data: 0.019) G_GAN: 2.840 G_L1: 4.291 D_real: 0.337 D_fake: 0.096
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+(epoch: 52, iters: 48884, time: 0.294, data: 0.018) G_GAN: 1.652 G_L1: 3.402 D_real: 0.527 D_fake: 0.289
+(epoch: 52, iters: 48984, time: 0.289, data: 0.021) G_GAN: 1.576 G_L1: 4.279 D_real: 0.272 D_fake: 0.442
+(epoch: 52, iters: 49084, time: 0.298, data: 0.019) G_GAN: 1.751 G_L1: 3.096 D_real: 0.627 D_fake: 0.182
+(epoch: 52, iters: 49184, time: 0.597, data: 0.018) G_GAN: 1.283 G_L1: 3.579 D_real: 0.565 D_fake: 0.544
+(epoch: 52, iters: 49284, time: 0.302, data: 0.019) G_GAN: 1.262 G_L1: 2.498 D_real: 0.394 D_fake: 0.730
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+(epoch: 53, iters: 1368, time: 0.301, data: 0.023) G_GAN: 1.323 G_L1: 4.155 D_real: 0.508 D_fake: 0.509
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+(epoch: 53, iters: 2168, time: 0.298, data: 0.020) G_GAN: 1.702 G_L1: 4.315 D_real: 0.604 D_fake: 0.438
+(epoch: 53, iters: 2268, time: 0.296, data: 0.018) G_GAN: 2.137 G_L1: 4.037 D_real: 0.307 D_fake: 0.382
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+(epoch: 53, iters: 2468, time: 0.303, data: 0.019) G_GAN: 1.597 G_L1: 2.872 D_real: 0.643 D_fake: 0.367
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+(epoch: 53, iters: 2668, time: 0.303, data: 0.019) G_GAN: 1.341 G_L1: 3.790 D_real: 0.596 D_fake: 0.410
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+(epoch: 53, iters: 2868, time: 0.303, data: 0.019) G_GAN: 1.988 G_L1: 4.973 D_real: 0.366 D_fake: 0.355
+(epoch: 53, iters: 2968, time: 0.300, data: 0.020) G_GAN: 2.141 G_L1: 3.444 D_real: 0.134 D_fake: 0.234
+(epoch: 53, iters: 3068, time: 0.295, data: 0.020) G_GAN: 1.545 G_L1: 2.616 D_real: 0.304 D_fake: 0.918
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+(epoch: 53, iters: 3368, time: 0.294, data: 0.021) G_GAN: 1.660 G_L1: 2.803 D_real: 0.588 D_fake: 0.333
+(epoch: 53, iters: 3468, time: 0.304, data: 0.019) G_GAN: 1.603 G_L1: 4.656 D_real: 0.537 D_fake: 0.410
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+(epoch: 53, iters: 3668, time: 0.302, data: 0.019) G_GAN: 1.989 G_L1: 3.826 D_real: 0.223 D_fake: 0.329
+(epoch: 53, iters: 3768, time: 0.306, data: 0.020) G_GAN: 1.799 G_L1: 3.731 D_real: 0.290 D_fake: 0.372
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+(epoch: 54, iters: 30852, time: 0.306, data: 0.017) G_GAN: 1.391 G_L1: 4.025 D_real: 0.604 D_fake: 0.426
+(epoch: 54, iters: 30952, time: 0.300, data: 0.018) G_GAN: 1.580 G_L1: 3.269 D_real: 0.293 D_fake: 0.665
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+(epoch: 54, iters: 45652, time: 0.300, data: 0.018) G_GAN: 1.497 G_L1: 3.417 D_real: 0.783 D_fake: 0.218
+(epoch: 54, iters: 45752, time: 0.305, data: 0.019) G_GAN: 2.164 G_L1: 3.845 D_real: 0.828 D_fake: 0.154
+(epoch: 54, iters: 45852, time: 0.307, data: 0.019) G_GAN: 1.862 G_L1: 3.908 D_real: 0.316 D_fake: 0.354
+(epoch: 54, iters: 45952, time: 0.438, data: 0.019) G_GAN: 1.926 G_L1: 3.706 D_real: 0.600 D_fake: 0.247
+(epoch: 54, iters: 46052, time: 0.294, data: 0.021) G_GAN: 1.542 G_L1: 2.713 D_real: 0.641 D_fake: 0.365
+(epoch: 54, iters: 46152, time: 0.303, data: 0.024) G_GAN: 1.990 G_L1: 3.130 D_real: 0.462 D_fake: 0.353
+(epoch: 54, iters: 46252, time: 0.300, data: 0.021) G_GAN: 1.658 G_L1: 2.389 D_real: 1.066 D_fake: 0.142
+(epoch: 54, iters: 46352, time: 0.407, data: 0.022) G_GAN: 1.704 G_L1: 3.204 D_real: 1.090 D_fake: 0.162
+(epoch: 54, iters: 46452, time: 0.305, data: 0.020) G_GAN: 2.101 G_L1: 3.318 D_real: 0.452 D_fake: 0.311
+(epoch: 54, iters: 46552, time: 0.299, data: 0.020) G_GAN: 1.654 G_L1: 3.197 D_real: 0.296 D_fake: 0.332
+(epoch: 54, iters: 46652, time: 0.301, data: 0.019) G_GAN: 1.975 G_L1: 3.864 D_real: 0.325 D_fake: 0.360
+(epoch: 54, iters: 46752, time: 0.410, data: 0.018) G_GAN: 1.287 G_L1: 2.745 D_real: 0.557 D_fake: 0.374
+(epoch: 54, iters: 46852, time: 0.296, data: 0.018) G_GAN: 1.832 G_L1: 2.998 D_real: 0.302 D_fake: 0.482
+(epoch: 54, iters: 46952, time: 0.294, data: 0.018) G_GAN: 1.664 G_L1: 3.224 D_real: 0.535 D_fake: 0.427
+(epoch: 54, iters: 47052, time: 0.303, data: 0.019) G_GAN: 1.616 G_L1: 4.027 D_real: 0.561 D_fake: 0.299
+(epoch: 54, iters: 47152, time: 0.617, data: 0.018) G_GAN: 1.595 G_L1: 2.586 D_real: 0.547 D_fake: 0.363
+(epoch: 54, iters: 47252, time: 0.286, data: 0.019) G_GAN: 1.348 G_L1: 3.315 D_real: 0.161 D_fake: 0.859
+(epoch: 54, iters: 47352, time: 0.287, data: 0.018) G_GAN: 1.640 G_L1: 3.249 D_real: 0.691 D_fake: 0.261
+(epoch: 54, iters: 47452, time: 0.299, data: 0.017) G_GAN: 2.693 G_L1: 3.884 D_real: 0.796 D_fake: 0.056
+(epoch: 54, iters: 47552, time: 0.428, data: 0.019) G_GAN: 1.602 G_L1: 3.581 D_real: 0.352 D_fake: 0.714
+(epoch: 54, iters: 47652, time: 0.296, data: 0.019) G_GAN: 1.572 G_L1: 2.587 D_real: 0.192 D_fake: 0.510
+(epoch: 54, iters: 47752, time: 0.296, data: 0.020) G_GAN: 2.103 G_L1: 3.875 D_real: 0.294 D_fake: 0.217
+(epoch: 54, iters: 47852, time: 0.296, data: 0.018) G_GAN: 2.696 G_L1: 2.759 D_real: 0.253 D_fake: 0.233
+(epoch: 54, iters: 47952, time: 0.426, data: 0.018) G_GAN: 2.685 G_L1: 4.988 D_real: 0.281 D_fake: 0.458
+(epoch: 54, iters: 48052, time: 0.308, data: 0.020) G_GAN: 1.827 G_L1: 4.269 D_real: 0.524 D_fake: 0.270
+(epoch: 54, iters: 48152, time: 0.295, data: 0.019) G_GAN: 1.657 G_L1: 3.924 D_real: 0.266 D_fake: 0.459
+(epoch: 54, iters: 48252, time: 0.305, data: 0.019) G_GAN: 2.274 G_L1: 3.428 D_real: 0.328 D_fake: 0.262
+(epoch: 54, iters: 48352, time: 0.397, data: 0.022) G_GAN: 1.717 G_L1: 2.813 D_real: 0.367 D_fake: 0.359
+(epoch: 54, iters: 48452, time: 0.294, data: 0.018) G_GAN: 1.887 G_L1: 3.039 D_real: 0.515 D_fake: 0.177
+(epoch: 54, iters: 48552, time: 0.304, data: 0.018) G_GAN: 1.940 G_L1: 2.692 D_real: 0.203 D_fake: 0.324
+(epoch: 54, iters: 48652, time: 0.307, data: 0.020) G_GAN: 1.713 G_L1: 3.591 D_real: 0.417 D_fake: 0.618
+(epoch: 54, iters: 48752, time: 0.418, data: 0.018) G_GAN: 1.375 G_L1: 3.364 D_real: 0.886 D_fake: 0.285
+(epoch: 54, iters: 48852, time: 0.302, data: 0.018) G_GAN: 2.313 G_L1: 2.413 D_real: 0.240 D_fake: 0.229
+(epoch: 54, iters: 48952, time: 0.288, data: 0.020) G_GAN: 2.060 G_L1: 3.317 D_real: 0.654 D_fake: 0.219
+(epoch: 54, iters: 49052, time: 0.287, data: 0.019) G_GAN: 1.554 G_L1: 3.735 D_real: 0.508 D_fake: 0.453
+(epoch: 54, iters: 49152, time: 0.594, data: 0.018) G_GAN: 1.518 G_L1: 2.825 D_real: 0.457 D_fake: 0.373
+(epoch: 54, iters: 49252, time: 0.285, data: 0.020) G_GAN: 1.678 G_L1: 3.557 D_real: 0.381 D_fake: 0.633
+(epoch: 54, iters: 49352, time: 0.303, data: 0.019) G_GAN: 1.217 G_L1: 4.587 D_real: 1.203 D_fake: 0.349
+(epoch: 54, iters: 49452, time: 0.300, data: 0.019) G_GAN: 1.618 G_L1: 3.459 D_real: 0.405 D_fake: 0.396
+(epoch: 54, iters: 49552, time: 0.406, data: 0.018) G_GAN: 1.910 G_L1: 3.693 D_real: 0.625 D_fake: 0.373
+(epoch: 54, iters: 49652, time: 0.293, data: 0.017) G_GAN: 1.982 G_L1: 2.818 D_real: 0.467 D_fake: 0.282
+(epoch: 54, iters: 49752, time: 0.289, data: 0.020) G_GAN: 2.152 G_L1: 3.665 D_real: 0.290 D_fake: 0.339
+(epoch: 54, iters: 49852, time: 0.295, data: 0.017) G_GAN: 1.861 G_L1: 4.240 D_real: 0.417 D_fake: 0.664
+(epoch: 54, iters: 49952, time: 0.426, data: 0.018) G_GAN: 2.020 G_L1: 3.721 D_real: 0.437 D_fake: 0.192
+(epoch: 54, iters: 50052, time: 0.295, data: 0.017) G_GAN: 2.001 G_L1: 3.481 D_real: 0.248 D_fake: 0.384
+(epoch: 54, iters: 50152, time: 0.295, data: 0.019) G_GAN: 1.684 G_L1: 3.876 D_real: 0.321 D_fake: 0.474
+(epoch: 54, iters: 50252, time: 0.287, data: 0.017) G_GAN: 1.463 G_L1: 3.697 D_real: 0.496 D_fake: 0.455
+(epoch: 54, iters: 50352, time: 0.383, data: 0.017) G_GAN: 1.336 G_L1: 2.834 D_real: 0.586 D_fake: 0.388
+(epoch: 54, iters: 50452, time: 0.299, data: 0.017) G_GAN: 1.768 G_L1: 3.724 D_real: 0.189 D_fake: 0.305
+(epoch: 54, iters: 50552, time: 0.299, data: 0.021) G_GAN: 2.164 G_L1: 5.248 D_real: 0.413 D_fake: 0.237
+(epoch: 54, iters: 50652, time: 0.295, data: 0.020) G_GAN: 2.282 G_L1: 5.109 D_real: 0.206 D_fake: 1.127
+(epoch: 54, iters: 50752, time: 0.402, data: 0.017) G_GAN: 1.600 G_L1: 3.037 D_real: 0.318 D_fake: 0.443
+(epoch: 54, iters: 50852, time: 0.294, data: 0.018) G_GAN: 1.657 G_L1: 3.324 D_real: 0.347 D_fake: 0.394
+(epoch: 54, iters: 50952, time: 0.303, data: 0.020) G_GAN: 1.896 G_L1: 4.464 D_real: 0.211 D_fake: 0.408
+(epoch: 54, iters: 51052, time: 0.295, data: 0.019) G_GAN: 1.565 G_L1: 2.408 D_real: 0.750 D_fake: 0.229
+(epoch: 54, iters: 51152, time: 0.610, data: 0.020) G_GAN: 2.084 G_L1: 4.793 D_real: 0.194 D_fake: 0.518
+(epoch: 54, iters: 51252, time: 0.300, data: 0.018) G_GAN: 1.633 G_L1: 4.374 D_real: 0.562 D_fake: 0.302
+(epoch: 54, iters: 51352, time: 0.299, data: 0.017) G_GAN: 1.416 G_L1: 3.121 D_real: 0.588 D_fake: 0.310
+(epoch: 54, iters: 51452, time: 0.297, data: 0.019) G_GAN: 1.886 G_L1: 2.351 D_real: 0.471 D_fake: 0.253
+(epoch: 54, iters: 51552, time: 0.419, data: 0.018) G_GAN: 1.357 G_L1: 4.203 D_real: 0.669 D_fake: 0.253
+(epoch: 54, iters: 51652, time: 0.297, data: 0.019) G_GAN: 1.573 G_L1: 2.327 D_real: 0.530 D_fake: 0.311
+(epoch: 54, iters: 51752, time: 0.294, data: 0.019) G_GAN: 1.628 G_L1: 3.157 D_real: 0.518 D_fake: 0.799
+(epoch: 54, iters: 51852, time: 0.286, data: 0.020) G_GAN: 1.945 G_L1: 3.029 D_real: 0.479 D_fake: 0.251
+(epoch: 54, iters: 51952, time: 0.416, data: 0.018) G_GAN: 1.716 G_L1: 3.204 D_real: 0.370 D_fake: 0.207
+(epoch: 54, iters: 52052, time: 0.306, data: 0.019) G_GAN: 1.909 G_L1: 2.733 D_real: 0.304 D_fake: 0.721
+(epoch: 54, iters: 52152, time: 0.305, data: 0.020) G_GAN: 1.297 G_L1: 2.585 D_real: 0.754 D_fake: 0.463
+(epoch: 54, iters: 52252, time: 0.302, data: 0.019) G_GAN: 1.838 G_L1: 3.052 D_real: 0.572 D_fake: 0.231
+(epoch: 54, iters: 52352, time: 0.389, data: 0.019) G_GAN: 2.217 G_L1: 3.450 D_real: 0.080 D_fake: 0.443
+(epoch: 54, iters: 52452, time: 0.306, data: 0.020) G_GAN: 2.006 G_L1: 2.936 D_real: 0.375 D_fake: 0.235
+(epoch: 54, iters: 52552, time: 0.296, data: 0.019) G_GAN: 1.391 G_L1: 4.547 D_real: 0.759 D_fake: 0.339
+(epoch: 54, iters: 52652, time: 0.304, data: 0.017) G_GAN: 1.968 G_L1: 3.569 D_real: 0.562 D_fake: 0.241
+(epoch: 54, iters: 52752, time: 0.414, data: 0.020) G_GAN: 1.532 G_L1: 3.192 D_real: 0.542 D_fake: 0.577
+(epoch: 54, iters: 52852, time: 0.305, data: 0.017) G_GAN: 1.788 G_L1: 4.426 D_real: 0.703 D_fake: 0.337
+(epoch: 54, iters: 52952, time: 0.288, data: 0.018) G_GAN: 2.162 G_L1: 5.069 D_real: 0.356 D_fake: 0.504
+(epoch: 54, iters: 53052, time: 0.303, data: 0.019) G_GAN: 1.872 G_L1: 3.344 D_real: 0.412 D_fake: 0.239
+(epoch: 54, iters: 53152, time: 0.534, data: 0.019) G_GAN: 1.376 G_L1: 2.964 D_real: 0.196 D_fake: 0.689
+(epoch: 54, iters: 53252, time: 0.267, data: 0.020) G_GAN: 1.937 G_L1: 3.034 D_real: 0.128 D_fake: 0.528
+(epoch: 54, iters: 53352, time: 0.291, data: 0.016) G_GAN: 2.090 G_L1: 2.879 D_real: 0.313 D_fake: 0.290
+(epoch: 54, iters: 53452, time: 0.298, data: 0.018) G_GAN: 1.622 G_L1: 3.523 D_real: 0.183 D_fake: 0.892
+(epoch: 54, iters: 53552, time: 0.414, data: 0.018) G_GAN: 2.005 G_L1: 3.962 D_real: 0.249 D_fake: 0.412
+(epoch: 54, iters: 53652, time: 0.283, data: 0.017) G_GAN: 1.474 G_L1: 3.169 D_real: 0.255 D_fake: 0.702
+(epoch: 54, iters: 53752, time: 0.296, data: 0.018) G_GAN: 1.625 G_L1: 3.266 D_real: 0.818 D_fake: 0.380
+(epoch: 54, iters: 53852, time: 0.293, data: 0.020) G_GAN: 1.374 G_L1: 3.552 D_real: 0.423 D_fake: 0.412
+(epoch: 54, iters: 53952, time: 0.404, data: 0.017) G_GAN: 1.671 G_L1: 2.888 D_real: 0.362 D_fake: 0.704
+(epoch: 54, iters: 54052, time: 0.293, data: 0.017) G_GAN: 1.754 G_L1: 3.751 D_real: 0.493 D_fake: 0.292
+(epoch: 54, iters: 54152, time: 0.300, data: 0.018) G_GAN: 1.674 G_L1: 3.440 D_real: 0.756 D_fake: 0.243
+(epoch: 54, iters: 54252, time: 0.287, data: 0.018) G_GAN: 2.179 G_L1: 4.169 D_real: 0.221 D_fake: 0.292
+(epoch: 54, iters: 54352, time: 0.420, data: 0.017) G_GAN: 2.056 G_L1: 4.354 D_real: 0.229 D_fake: 0.384
+(epoch: 54, iters: 54452, time: 0.288, data: 0.018) G_GAN: 1.414 G_L1: 4.009 D_real: 1.056 D_fake: 0.376
+(epoch: 54, iters: 54552, time: 0.303, data: 0.020) G_GAN: 1.650 G_L1: 2.723 D_real: 0.986 D_fake: 0.234
+(epoch: 54, iters: 54652, time: 0.300, data: 0.017) G_GAN: 1.741 G_L1: 3.469 D_real: 0.327 D_fake: 0.399
+(epoch: 54, iters: 54752, time: 0.416, data: 0.034) G_GAN: 1.924 G_L1: 3.103 D_real: 0.183 D_fake: 0.407
+(epoch: 54, iters: 54852, time: 0.304, data: 0.018) G_GAN: 1.440 G_L1: 3.608 D_real: 0.684 D_fake: 0.368
+(epoch: 54, iters: 54952, time: 0.296, data: 0.020) G_GAN: 1.753 G_L1: 3.788 D_real: 0.497 D_fake: 0.483
+(epoch: 54, iters: 55052, time: 0.289, data: 0.018) G_GAN: 1.365 G_L1: 2.936 D_real: 0.386 D_fake: 0.566
+(epoch: 54, iters: 55152, time: 0.611, data: 0.017) G_GAN: 1.516 G_L1: 3.486 D_real: 0.823 D_fake: 0.236
+(epoch: 54, iters: 55252, time: 0.301, data: 0.019) G_GAN: 1.906 G_L1: 5.555 D_real: 0.265 D_fake: 0.670
+(epoch: 54, iters: 55352, time: 0.296, data: 0.019) G_GAN: 1.626 G_L1: 3.548 D_real: 0.384 D_fake: 0.380
+(epoch: 54, iters: 55452, time: 0.298, data: 0.018) G_GAN: 1.976 G_L1: 2.684 D_real: 0.576 D_fake: 0.183
+(epoch: 54, iters: 55552, time: 0.394, data: 0.019) G_GAN: 2.177 G_L1: 3.595 D_real: 0.639 D_fake: 0.278
+(epoch: 54, iters: 55652, time: 0.298, data: 0.018) G_GAN: 1.592 G_L1: 4.278 D_real: 0.403 D_fake: 0.462
+(epoch: 54, iters: 55752, time: 0.303, data: 0.019) G_GAN: 1.854 G_L1: 2.644 D_real: 0.352 D_fake: 0.340
+(epoch: 54, iters: 55852, time: 0.299, data: 0.019) G_GAN: 1.551 G_L1: 3.502 D_real: 0.634 D_fake: 0.354
+(epoch: 54, iters: 55952, time: 0.390, data: 0.019) G_GAN: 1.677 G_L1: 3.539 D_real: 0.236 D_fake: 0.356
+(epoch: 54, iters: 56052, time: 0.298, data: 0.020) G_GAN: 1.930 G_L1: 5.054 D_real: 0.414 D_fake: 0.430
+(epoch: 54, iters: 56152, time: 0.301, data: 0.018) G_GAN: 1.659 G_L1: 3.822 D_real: 0.362 D_fake: 0.433
+(epoch: 54, iters: 56252, time: 0.301, data: 0.018) G_GAN: 2.260 G_L1: 3.542 D_real: 0.124 D_fake: 0.356
+(epoch: 54, iters: 56352, time: 0.411, data: 0.020) G_GAN: 1.626 G_L1: 3.050 D_real: 0.305 D_fake: 0.424
+(epoch: 54, iters: 56452, time: 0.291, data: 0.017) G_GAN: 2.003 G_L1: 3.157 D_real: 0.315 D_fake: 0.507
+(epoch: 54, iters: 56552, time: 0.299, data: 0.017) G_GAN: 1.723 G_L1: 4.198 D_real: 0.340 D_fake: 0.706
+(epoch: 54, iters: 56652, time: 0.305, data: 0.018) G_GAN: 2.319 G_L1: 2.727 D_real: 0.439 D_fake: 0.166
+(epoch: 54, iters: 56752, time: 0.422, data: 0.020) G_GAN: 1.882 G_L1: 2.820 D_real: 0.164 D_fake: 0.349
+(epoch: 54, iters: 56852, time: 0.299, data: 0.018) G_GAN: 1.768 G_L1: 6.131 D_real: 0.642 D_fake: 0.359
+(epoch: 54, iters: 56952, time: 0.297, data: 0.019) G_GAN: 1.565 G_L1: 3.315 D_real: 0.360 D_fake: 0.544
+(epoch: 54, iters: 57052, time: 0.300, data: 0.017) G_GAN: 2.202 G_L1: 5.735 D_real: 1.048 D_fake: 0.395
+(epoch: 54, iters: 57152, time: 0.597, data: 0.017) G_GAN: 1.433 G_L1: 3.181 D_real: 0.185 D_fake: 0.586
+(epoch: 54, iters: 57252, time: 0.298, data: 0.018) G_GAN: 2.098 G_L1: 3.381 D_real: 0.225 D_fake: 0.321
+(epoch: 54, iters: 57352, time: 0.292, data: 0.020) G_GAN: 1.544 G_L1: 2.338 D_real: 0.380 D_fake: 0.358
+(epoch: 54, iters: 57452, time: 0.301, data: 0.018) G_GAN: 2.702 G_L1: 2.701 D_real: 0.186 D_fake: 0.276
+(epoch: 54, iters: 57552, time: 0.407, data: 0.019) G_GAN: 1.879 G_L1: 2.615 D_real: 0.353 D_fake: 0.437
diff --git a/Oct14_withPhy/train_opt.txt b/Oct14_withPhy/train_opt.txt
new file mode 100644
index 0000000000000000000000000000000000000000..efd700e2bc589fe102924645fdca8b0f47340acf
--- /dev/null
+++ b/Oct14_withPhy/train_opt.txt
@@ -0,0 +1,71 @@
+----------------- Options ---------------
+ addPhysicalLoss: True [default: False]
+ batch_size: 4 [default: 1]
+ beta1: 0.5
+ checkpoints_dir: ./checkpoints
+ continue_train: False
+ crop_size: 512
+ dataroot: ./data [default: None]
+ dataset_mode: aligned
+ dim: 64
+ dim_mults: (1, 2, 4, 8)
+ direction: AtoB
+ display_env: main
+ display_freq: 400
+ display_id: 1
+ display_ncols: 5
+ display_port: 8097
+ display_server: http://localhost
+ display_winsize: 512
+ epoch: latest
+ epoch_count: 1
+ gan_mode: vanilla
+ gpu_ids: 0
+ groups: 8
+ init_dim: 64
+ init_gain: 0.02
+ init_type: normal
+ input_nc: 1
+ isTrain: True [default: None]
+ lambda_L1: 10.0
+ learned_sinusoidal_cond: False
+ learned_sinusoidal_dim: 16
+ load_iter: 0 [default: 0]
+ load_size: 512
+ lr: 0.0002
+ lr_decay_iters: 10
+ lr_policy: linear
+ mask_size: 512
+ max_dataset_size: inf
+ model: atme [default: catme2]
+ n_epochs: 20 [default: 100]
+ n_epochs_decay: 100 [default: 50]
+ n_layers_D: 4
+ n_save_noisy: 0
+ name: Oct14_withPhy [default: experiment_name]
+ ndf: 64
+ netD: basic
+ netG: unet_256_ddm
+ ngf: 64
+ no_dropout: False
+ no_flip: False
+ no_html: False
+ norm: instance
+ num_threads: 8 [default: 4]
+ output_nc: 4
+ phase: train
+ pool_size: 0
+ preprocess: resize_and_crop
+ print_freq: 100
+ random_fourier_features: False
+ save_by_iter: False
+ save_epoch_freq: 5
+ save_latest_freq: 5000
+ serial_batches: False
+ suffix:
+ time_dim_mult: 4
+ update_html_freq: 1000
+ use_wandb: False
+ verbose: False
+ wandb_project_name: atme
+----------------- End -------------------
diff --git a/Oct14_withPhy/web/images/epoch001_Disc_B.png b/Oct14_withPhy/web/images/epoch001_Disc_B.png
new file mode 100644
index 0000000000000000000000000000000000000000..dc336ca2404f4c01bdd00197dab49cc98689312c
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diff --git a/Oct14_withPhy/web/images/epoch001_fake_B_0.png b/Oct14_withPhy/web/images/epoch001_fake_B_0.png
new file mode 100644
index 0000000000000000000000000000000000000000..a6a9ab9e4e2699dabad4f4dc5b42ab15adbef7e4
Binary files /dev/null and b/Oct14_withPhy/web/images/epoch001_fake_B_0.png differ
diff --git a/Oct14_withPhy/web/images/epoch001_fake_B_1.png b/Oct14_withPhy/web/images/epoch001_fake_B_1.png
new file mode 100644
index 0000000000000000000000000000000000000000..281c1ff1c72f45ce01c1020bf1faaddf8c903e50
Binary files /dev/null and b/Oct14_withPhy/web/images/epoch001_fake_B_1.png differ
diff --git a/Oct14_withPhy/web/images/epoch001_fake_B_2.png b/Oct14_withPhy/web/images/epoch001_fake_B_2.png
new file mode 100644
index 0000000000000000000000000000000000000000..7b02b96386b3e5b2ec4ffe5f25a6bdacf9cc0a19
Binary files /dev/null and b/Oct14_withPhy/web/images/epoch001_fake_B_2.png differ
diff --git a/Oct14_withPhy/web/images/epoch001_fake_B_3.png b/Oct14_withPhy/web/images/epoch001_fake_B_3.png
new file mode 100644
index 0000000000000000000000000000000000000000..6d512910e25e542730ac6a42c49f6c7202318acf
Binary files /dev/null and b/Oct14_withPhy/web/images/epoch001_fake_B_3.png differ
diff --git a/Oct14_withPhy/web/images/epoch001_noisy_A.png b/Oct14_withPhy/web/images/epoch001_noisy_A.png
new file mode 100644
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+ real_B
+
+ |
+
+
+ epoch [50]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [49]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [48]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [47]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [46]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [45]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [44]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [43]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [42]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [41]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [40]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [39]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [38]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [37]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [36]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [35]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [34]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [33]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [32]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [31]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [30]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [29]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [28]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [27]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [26]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [25]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [24]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [23]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [22]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [21]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [20]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [19]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [18]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [17]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [16]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [15]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [14]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [13]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [12]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [11]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [10]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [9]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [8]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [7]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [6]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [5]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [4]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [3]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [2]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+ epoch [1]
+
+
+ |
+
+
+ 
+
+ real_A
+
+ |
+
+
+
+ 
+
+ Disc_B
+
+ |
+
+
+
+ 
+
+ noisy_A
+
+ |
+
+
+
+ 
+
+ fake_B
+
+ |
+
+
+
+ 
+
+ real_B
+
+ |
+
+
+
+
\ No newline at end of file