Solved by ptrblck in post #2 
              
              
                You could use torch.stack as seen here: 
txt_features = torch.tensor([[1,2,3], [4,5,6]])
num_features = torch.tensor([[1,2,4], [4,5,7]])
c = torch.stack((txt_features, num_features), dim=1)