Issue
Is it possible to extract directly the tensor included in this string tensor([-1.6975e+00, 1.7556e-02, -2.4441e+00, -2.3994e+00, -6.2069e-01])
? I'm looking for some tensorflow
or pytorch
function that can do it, like the ast.literal_eval
function does for dictionaries and lists.
If not, could you provide a pythonic method, please?
I'm thinking about something like this:
tensor_list = "tensor([-1.6975e+00, 1.7556e-02, -2.4441e+00, -2.3994e+00, -6.2069e-01])"
str_list = tensor_list.replace("tensor(", "").replace(")", "")
l = ast.literal_eval(str_list)
torch.from_numpy(np.array(l))
But I'm not sure this is the best way.
Solution
You can use eval
:
import torch.tensor as tensor
eval(tensor_list)
>>> tensor([-1.6975, 0.0176, -2.4441, -2.3994, -0.6207])
Answered By - Dishin H Goyani
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