Solved by ptrblck in post #2 
              
              
                Based on your screenshot it looks like fulldata is a tuple containing 43 tensors. 
I’m not sure, how you would like to split this tuple, but this would be one way: 
fulldata = tuple(torch.randn(1) for _ in range(100))
features = torch.stack(fulldata[::2])
targets = torch.stack(fulldata[1::2])