Iter #10: tensor([0.0003, 0.0004, 0.0008, 0.0003, 0.0003, 0.0005, 0.0002, 0.0002, 0.0003,
        0.0002, 0.0002, 0.0005, 0.0002, 0.0003, 0.0004, 0.0002, 0.0003, 0.0009,
        0.0003, 0.0003], device='cuda:0', grad_fn=<NormBackward3>)
Iter #20: tensor([0.0013, 0.0017, 0.0039, 0.0015, 0.0063, 0.0020, 0.0016],
       device='cuda:0', grad_fn=<NormBackward3>)
Iter #30: tensor([0.0034, 0.0039, 0.0048, 0.0033, 0.0030, 0.0037, 0.0023, 0.0056, 0.0042,
        0.0044, 0.0104, 0.0076, 0.0042], device='cuda:0',
       grad_fn=<NormBackward3>)
Iter #40: tensor([0.0016, 0.0024, 0.0022, 0.0012, 0.0010, 0.0018, 0.0014, 0.0011, 0.0038,
        0.0046, 0.0030, 0.0010, 0.0008, 0.0012, 0.0014, 0.0013, 0.0025, 0.0012,
        0.0042, 0.0020, 0.0024, 0.0026, 0.0040, 0.0037, 0.0031, 0.0022, 0.0031,
        0.0025, 0.0020, 0.0022], device='cuda:0', grad_fn=<NormBackward3>)
Iter #50: tensor([0.5171, 0.4430, 1.0390, 0.6583, 1.5326, 0.4449, 0.7409, 0.8868, 0.6407,
        1.5726, 0.5002, 1.0080, 0.5098, 0.4436, 0.7898, 0.5657, 1.0894, 1.4589,
        0.5117, 1.6055, 0.3718, 0.4935, 0.4332, 0.3780], device='cuda:0',
       grad_fn=<NormBackward3>)
Iter #60: tensor([0.0041, 0.0064, 0.0187, 0.0076, 0.0084, 0.0074, 0.0038, 0.0043],
       device='cuda:0', grad_fn=<NormBackward3>)
Iter #70: tensor([0.0010, 0.0031, 0.0015, 0.0012, 0.0008, 0.0009, 0.0013, 0.0011, 0.0007,
        0.0014, 0.0008, 0.0014, 0.0018, 0.0014, 0.0033, 0.0020, 0.0030, 0.0020,
        0.0009, 0.0021, 0.0009, 0.0008, 0.0005, 0.0009, 0.0004, 0.0004, 0.0005,
        0.0017, 0.0017, 0.0012, 0.0020, 0.0006, 0.0008, 0.0020, 0.0010, 0.0017,
        0.0018, 0.0008, 0.0026, 0.0019, 0.0007, 0.0007], device='cuda:0',
       grad_fn=<NormBackward3>)
Iter #80: tensor([0.0049, 0.0037, 0.0056, 0.0195, 0.0049, 0.0135, 0.0042, 0.0026, 0.0059,
        0.0030, 0.0092, 0.0031, 0.0026, 0.0046, 0.0020, 0.0038, 0.0014, 0.0038,
        0.0026, 0.0026, 0.0033, 0.0036, 0.0046, 0.0048, 0.0082, 0.0053, 0.0056,
        0.0022, 0.0038, 0.0025, 0.0025], device='cuda:0',
       grad_fn=<NormBackward3>)
Iter #90: tensor([0.0070, 0.0077, 0.0054, 0.0052, 0.0139, 0.0242, 0.0139, 0.0180, 0.0061,
        0.0141, 0.0136, 0.0078, 0.0087, 0.0093, 0.0109, 0.0355, 0.0124, 0.0275,
        0.0075, 0.0084, 0.0156, 0.0062, 0.0099, 0.0073, 0.0078],
       device='cuda:0', grad_fn=<NormBackward3>)
Iter #100: tensor([1.1440e-04, 8.8720e-05, 2.4047e-04, 1.1347e-04, 3.1594e-04, 1.2947e-04,
        9.4025e-05, 8.2193e-05, 2.2881e-04, 1.0458e-04, 9.8169e-05, 1.1973e-04,
        1.4288e-04, 1.8597e-04, 7.2742e-04, 1.6084e-04, 4.1089e-04, 1.1566e-04,
        7.9760e-05, 1.5885e-04, 7.1488e-05, 1.0485e-04, 2.1832e-04, 9.2331e-05,
        1.5799e-04, 2.2806e-04, 1.0808e-04, 1.1716e-04, 2.2385e-04, 9.6311e-05,
        1.8636e-04, 3.6540e-04, 9.5562e-05, 7.1520e-05, 1.3260e-04, 2.7662e-04,
        1.6936e-04, 2.9634e-04, 5.0943e-04, 1.1257e-04, 1.2735e-04],
       device='cuda:0', grad_fn=<NormBackward3>)
Iter #110: tensor([0.0355, 0.0227, 0.0321, 0.0440, 0.1133, 0.0550, 0.0576, 0.0316, 0.0371,
        0.0502, 0.0546, 0.0326, 0.0451, 0.0533, 0.0324, 0.0456, 0.1249, 0.1737,
        0.0446, 0.1586, 0.0540, 0.2280, 0.0881, 0.2051, 0.0556, 0.0389],
       device='cuda:0', grad_fn=<NormBackward3>)
