1########## torch.float64/torch.int64/size=()+(4, 6)+()+() ########## 2# sparse meta tensor 3tensor(indices=tensor(..., size=(2, 0)), 4 values=tensor(..., size=(0,)), 5 device='meta', size=(4, 6), dtype=torch.float64, layout=torch.sparse_coo) 6########## torch.float64/torch.int64/size=()+(4, 6)+()+(3,) ########## 7# sparse meta tensor 8tensor(indices=tensor(..., size=(2, 0)), 9 values=tensor(..., size=(0, 3)), 10 device='meta', size=(4, 6, 3), dtype=torch.float64, 11 layout=torch.sparse_coo) 12########## torch.float64/torch.int64/size=()+(3, 5, 7)+()+() ########## 13# sparse meta tensor 14tensor(indices=tensor(..., size=(3, 0)), 15 values=tensor(..., size=(0,)), 16 device='meta', size=(3, 5, 7), dtype=torch.float64, 17 layout=torch.sparse_coo) 18########## torch.float64/torch.int64/size=()+(3, 5, 7)+()+(3,) ########## 19# sparse meta tensor 20tensor(indices=tensor(..., size=(3, 0)), 21 values=tensor(..., size=(0, 3)), 22 device='meta', size=(3, 5, 7, 3), dtype=torch.float64, 23 layout=torch.sparse_coo)