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pytorch/test/expect/TestSparseMeta.test_print_meta_SparseCOO_float64.expect

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########## torch.float64/torch.int64/size=()+(4, 6)+()+() ##########
# sparse meta tensor
tensor(indices=tensor(..., size=(2, 0)),
values=tensor(..., size=(0,)),
device='meta', size=(4, 6), dtype=torch.float64, layout=torch.sparse_coo)
########## torch.float64/torch.int64/size=()+(4, 6)+()+(3,) ##########
# sparse meta tensor
tensor(indices=tensor(..., size=(2, 0)),
values=tensor(..., size=(0, 3)),
device='meta', size=(4, 6, 3), dtype=torch.float64,
layout=torch.sparse_coo)
########## torch.float64/torch.int64/size=()+(3, 5, 7)+()+() ##########
# sparse meta tensor
tensor(indices=tensor(..., size=(3, 0)),
values=tensor(..., size=(0,)),
device='meta', size=(3, 5, 7), dtype=torch.float64,
layout=torch.sparse_coo)
########## torch.float64/torch.int64/size=()+(3, 5, 7)+()+(3,) ##########
# sparse meta tensor
tensor(indices=tensor(..., size=(3, 0)),
values=tensor(..., size=(0, 3)),
device='meta', size=(3, 5, 7, 3), dtype=torch.float64,
layout=torch.sparse_coo)