Iter #10: tensor([0.0395, 0.0626, 0.1081, 0.0425, 0.0473, 0.0643, 0.0296, 0.0282, 0.0479,
        0.0257, 0.0256, 0.0690, 0.0262, 0.0407, 0.0601, 0.0309, 0.0442, 0.1280,
        0.0384, 0.0414], device='cuda:0', grad_fn=<DivBackward0>)
Iter #20: tensor([0.0690, 0.0934, 0.2147, 0.0803, 0.3451, 0.1095, 0.0880],
       device='cuda:0', grad_fn=<DivBackward0>)
Iter #30: tensor([0.0554, 0.0634, 0.0790, 0.0545, 0.0498, 0.0608, 0.0380, 0.0918, 0.0696,
        0.0721, 0.1708, 0.1254, 0.0694], device='cuda:0',
       grad_fn=<DivBackward0>)
Iter #40: tensor([0.0233, 0.0361, 0.0330, 0.0178, 0.0153, 0.0271, 0.0214, 0.0164, 0.0566,
        0.0677, 0.0439, 0.0147, 0.0115, 0.0180, 0.0200, 0.0189, 0.0369, 0.0173,
        0.0614, 0.0298, 0.0361, 0.0383, 0.0596, 0.0554, 0.0462, 0.0332, 0.0464,
        0.0369, 0.0290, 0.0319], device='cuda:0', grad_fn=<DivBackward0>)
Iter #50: tensor([0.0277, 0.0238, 0.0558, 0.0353, 0.0822, 0.0239, 0.0398, 0.0476, 0.0344,
        0.0844, 0.0268, 0.0541, 0.0274, 0.0238, 0.0424, 0.0304, 0.0585, 0.0783,
        0.0275, 0.0862, 0.0200, 0.0265, 0.0232, 0.0203], device='cuda:0',
       grad_fn=<DivBackward0>)
Iter #60: tensor([0.0670, 0.1053, 0.3087, 0.1254, 0.1380, 0.1218, 0.0621, 0.0717],
       device='cuda:0', grad_fn=<DivBackward0>)
Iter #70: tensor([0.0175, 0.0539, 0.0265, 0.0205, 0.0134, 0.0157, 0.0229, 0.0188, 0.0120,
        0.0236, 0.0139, 0.0243, 0.0308, 0.0242, 0.0581, 0.0356, 0.0527, 0.0349,
        0.0153, 0.0371, 0.0158, 0.0145, 0.0091, 0.0154, 0.0064, 0.0063, 0.0087,
        0.0289, 0.0297, 0.0206, 0.0348, 0.0108, 0.0138, 0.0354, 0.0175, 0.0301,
        0.0309, 0.0140, 0.0461, 0.0338, 0.0123, 0.0130], device='cuda:0',
       grad_fn=<DivBackward0>)
Iter #80: tensor([0.0327, 0.0248, 0.0373, 0.1302, 0.0327, 0.0902, 0.0281, 0.0174, 0.0392,
        0.0197, 0.0614, 0.0208, 0.0173, 0.0305, 0.0134, 0.0252, 0.0092, 0.0253,
        0.0174, 0.0171, 0.0221, 0.0239, 0.0306, 0.0322, 0.0548, 0.0352, 0.0371,
        0.0150, 0.0255, 0.0168, 0.0168], device='cuda:0',
       grad_fn=<DivBackward0>)
Iter #90: tensor([0.0232, 0.0254, 0.0176, 0.0172, 0.0457, 0.0795, 0.0456, 0.0593, 0.0202,
        0.0465, 0.0449, 0.0256, 0.0286, 0.0306, 0.0358, 0.1168, 0.0408, 0.0905,
        0.0247, 0.0275, 0.0512, 0.0205, 0.0326, 0.0240, 0.0258],
       device='cuda:0', grad_fn=<DivBackward0>)
Iter #100: tensor([0.0153, 0.0119, 0.0322, 0.0152, 0.0423, 0.0173, 0.0126, 0.0110, 0.0306,
        0.0140, 0.0131, 0.0160, 0.0191, 0.0249, 0.0973, 0.0215, 0.0550, 0.0155,
        0.0107, 0.0213, 0.0096, 0.0140, 0.0292, 0.0124, 0.0211, 0.0305, 0.0145,
        0.0157, 0.0300, 0.0129, 0.0249, 0.0489, 0.0128, 0.0096, 0.0177, 0.0370,
        0.0227, 0.0397, 0.0682, 0.0151, 0.0170], device='cuda:0',
       grad_fn=<DivBackward0>)
Iter #110: tensor([0.0185, 0.0118, 0.0168, 0.0230, 0.0592, 0.0288, 0.0301, 0.0165, 0.0194,
        0.0262, 0.0285, 0.0171, 0.0236, 0.0279, 0.0169, 0.0238, 0.0652, 0.0908,
        0.0233, 0.0828, 0.0282, 0.1191, 0.0460, 0.1071, 0.0290, 0.0203],
       device='cuda:0', grad_fn=<DivBackward0>)
