double.py

#normal distribution with mean=0 var=1
print(torch.rand(1,20,dtype=torch.float))
print(torch.rand(1,20,dtype=torch.double))

# output:
# tensor([[ 0.4976,  0.5590,  0.4242,  0.3130,  0.4160,  0.2188,  0.5643,
#           0.8620,  0.6020,  0.0883,  0.2870,  0.5136,  0.8119,  0.7638,
#           0.3188,  0.1961,  0.3527,  0.9613,  0.2914,  0.3882]])
# tensor([[ 0.9707,  0.9771,  0.0904,  0.0374,  0.7983,  0.4952,  0.2216,
#           0.4408,  0.5823,  0.0330,  0.5291,  0.1843,  0.8370,  0.3423,
#           0.4049,  0.2252,  0.3769,  0.0358,  0.0764,  0.6697]], dtype=torch.float64)