Solved by safakkbilici in post #2 
              
              
                Maybe something like this script would be helpful: 
a = torch.randn(2)
# tensor([ 0.1869, -0.9645])
b = torch.randn(2)
# tensor([-0.4450,  1.6712])
c = torch.randn(2)
# tensor([0.1208, 2.3409])

new_tensor = []
for i, j, k in zip(a,b,c):
   new_tensor.append([i.item(),j.item(),k.item()])

new_tensor…