from itertools import product import pytest import torch from torch_sparse.tensor import SparseTensor from .utils import dtypes, devices @pytest.mark.parametrize('dtype,device', product(dtypes, devices)) def test_eye(dtype, device): options = torch.tensor(0, dtype=dtype, device=device) mat = SparseTensor.eye(3, options=options) assert mat.storage.sparse_sizes() == (3, 3) assert mat.storage.row().tolist() == [0, 1, 2] assert mat.storage.rowptr().tolist() == [0, 1, 2, 3] assert mat.storage.col().tolist() == [0, 1, 2] assert mat.storage.value().tolist() == [1, 1, 1] assert mat.storage.num_cached_keys() == 0 mat = SparseTensor.eye(3, options=options, has_value=False) assert mat.storage.sparse_sizes() == (3, 3) assert mat.storage.row().tolist() == [0, 1, 2] assert mat.storage.rowptr().tolist() == [0, 1, 2, 3] assert mat.storage.col().tolist() == [0, 1, 2] assert mat.storage.value() is None assert mat.storage.num_cached_keys() == 0 mat = SparseTensor.eye(3, 4, options=options, fill_cache=True) assert mat.storage.sparse_sizes() == (3, 4) assert mat.storage.row().tolist() == [0, 1, 2] assert mat.storage.rowptr().tolist() == [0, 1, 2, 3] assert mat.storage.col().tolist() == [0, 1, 2] assert mat.storage.num_cached_keys() == 5 assert mat.storage.rowcount().tolist() == [1, 1, 1] assert mat.storage.colptr().tolist() == [0, 1, 2, 3, 3] assert mat.storage.colcount().tolist() == [1, 1, 1, 0] assert mat.storage.csr2csc().tolist() == [0, 1, 2] assert mat.storage.csc2csr().tolist() == [0, 1, 2] mat = SparseTensor.eye(4, 3, options=options, fill_cache=True) assert mat.storage.sparse_sizes() == (4, 3) assert mat.storage.row().tolist() == [0, 1, 2] assert mat.storage.rowptr().tolist() == [0, 1, 2, 3, 3] assert mat.storage.col().tolist() == [0, 1, 2] assert mat.storage.num_cached_keys() == 5 assert mat.storage.rowcount().tolist() == [1, 1, 1, 0] assert mat.storage.colptr().tolist() == [0, 1, 2, 3] assert mat.storage.colcount().tolist() == [1, 1, 1] assert mat.storage.csr2csc().tolist() == [0, 1, 2] assert mat.storage.csc2csr().tolist() == [0, 1, 2]