1########## torch.float64/torch.int64/size=()+(4, 6)+(2, 3)+() ########## 2# sparse meta tensor 3tensor(crow_indices=tensor(..., size=(3,)), 4 col_indices=tensor(..., size=(0,)), 5 values=tensor(..., size=(0, 2, 3)), device='meta', size=(4, 6), 6 dtype=torch.float64, layout=torch.sparse_bsr) 7########## torch.float64/torch.int64/size=()+(4, 6)+(2, 3)+(3,) ########## 8# sparse meta tensor 9tensor(crow_indices=tensor(..., size=(3,)), 10 col_indices=tensor(..., size=(0,)), 11 values=tensor(..., size=(0, 2, 3, 3)), device='meta', size=(4, 6, 3), 12 dtype=torch.float64, layout=torch.sparse_bsr) 13########## torch.float64/torch.int64/size=(2,)+(4, 6)+(2, 3)+() ########## 14# sparse meta tensor 15tensor(crow_indices=tensor(..., size=(2, 3)), 16 col_indices=tensor(..., size=(2, 0)), 17 values=tensor(..., size=(2, 0, 2, 3)), device='meta', size=(2, 4, 6), 18 dtype=torch.float64, layout=torch.sparse_bsr) 19########## torch.float64/torch.int64/size=(2,)+(4, 6)+(2, 3)+(3,) ########## 20# sparse meta tensor 21tensor(crow_indices=tensor(..., size=(2, 3)), 22 col_indices=tensor(..., size=(2, 0)), 23 values=tensor(..., size=(2, 0, 2, 3, 3)), device='meta', 24 size=(2, 4, 6, 3), dtype=torch.float64, layout=torch.sparse_bsr)