pytorch/test/expect/TestSparseMeta.test_print_meta_SparseCSR_float64.expect at main · gnosyslambda/pytorch · GitHub

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