How can I make a FloatTensor with requires_grad=True from a numpy array using PyTorch 0.4.0?
How can I make a FloatTensor with requires_grad=True from a numpy array using PyTorch 0.4.0, preferably in a single line?
If x is your numpy array this line should do the trick:
torch.tensor(x, requires_grad=True)Here is a full example tested with PyTorch 0.4.0:
import numpy as npimport torchx = np.array([1.3, 0.5, 1.9, 2.45])print('np.array:', x)t = torch.tensor(x, requires_grad=True)print('tensor:', t)print('requires_grad:', t.requires_grad)This gives the following output:
np.array: [1.3 0.5 1.9 2.45]tensor: tensor([ 1.3000, 0.5000, 1.9000, 2.4500], dtype=torch.float64)requires_grad: TrueEdit: dtype should be determined by the given dtype of your numpy array x.
I hope this helps.