torch.set_printoptions(precision=20)
print(torch.__version__)
s = torch.FloatTensor([0.050, 0.15, 0.25, 0.35, 0.45, 0.55, 0.65, 0.75, 0.85, 0.95]).cuda()
print(s)


tensor([0.05000000074505805969, 0.15000000596046447754, 0.25000000000000000000,
0.34999999403953552246, 0.44999998807907104492, 0.55000001192092895508,
0.64999997615814208984, 0.75000000000000000000, 0.85000002384185791016,
0.94999998807907104492], device=‘cuda:0’)
1.0.1.post2

As you can see, values are not exactly accurate which affect my exceeding results based on these few fractions. why tensor values are exactly as they should be in their definition ?