Hello everyone,
I just imported an array from numpy into pytorch:
import numpy as np
import torch

a = np.array([ 1.07790701e-01,  5.27183563e-02,  1.03966855e-01])
print(a)
# [0.1077907  0.05271836 0.10396685]

b = torch.from_numpy(a)
print(b)
# tensor([0.1078, 0.0527, 0.1040], dtype=torch.float64)

Even though the tensor is float64 type, every value in tensorb is rounded up to 2 decimals compared with the original array a.
How can I keep the values of b unchanged from a?
Many thanks,