Hi, I’m just wondering is torch.autograd.Variable  replaced by torch.tensor (…, Requires_grad= True)?
and why when I use this code
t = torch.from_numpy(matrix_np).clone()
matrix_torch =torch.tensor(t, requires_grad=True)
it throws this error
matrix_torch =torch.tensor(t.clone(), requires_grad=True)
main:1: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
what is the best way to make the Numpy array a tensor to use it later to backprop. ?