Hey,
I’m trying to save a tensor and then load it using torch.save and torch.load. But I’m losing information doing so.
How I’ve done it:
torch.save(data, path)
 ld_data = torch.load(path)
When comparing data with ld_data one can see, that the outputs are different:
data = tensor([[ 1.7173e-01, -2.5369e-02,  4.3857e-02,  ..., -1.7239e-02,          -3.3998e-11, -2.7491e-02],         [-2.5369e-02,  7.7908e-02,  3.1315e-02,  ..., -3.0796e-02,           1.4849e-11, -6.0712e-02],         [ 4.3857e-02,  3.1315e-02,  8.2180e-02,  ..., -3.8967e-02,          -1.1373e-11, -8.8518e-02],         ...,         [-1.7239e-02, -3.0796e-02, -3.8967e-02,  ...,  5.5503e-02,          -2.0781e-11,  7.9386e-02],         [-3.3998e-11,  1.4849e-11, -1.1373e-11,  ..., -2.0781e-11,           1.0000e-04, -1.7010e-11],         [-2.7491e-02, -6.0712e-02, -8.8518e-02,  ...,  7.9386e-02,          -1.7010e-11,  2.0927e-01]])
ld_data = tensor([[ 1.2479e+00, -1.9974e-02,  7.4556e-02,  ..., -4.1448e-02,           3.9807e-13, -7.2844e-02],         [-1.9974e-02,  1.0799e+00,  3.2171e-02,  ..., -2.7830e-02,           9.3514e-15, -7.1534e-02],         [ 7.4556e-02,  3.2171e-02,  1.1049e+00,  ..., -4.7784e-02,           3.3500e-14, -1.2831e-01],         ...,         [-4.1448e-02, -2.7830e-02, -4.7784e-02,  ...,  1.0771e+00,           3.3965e-14,  1.2947e-01],         [ 3.9807e-13,  9.3514e-15,  3.3500e-14,  ...,  3.3965e-14,           1.0000e+00, -1.6675e-12],         [-7.2844e-02, -7.1534e-02, -1.2831e-01,  ...,  1.2947e-01, -1.6675e-12,  1.3670e+00]])
How can I save and load such data without losing information?
Thank you!