from itertools import product

import pytest
import torch
from torch_sparse import spmm

from .utils import dtypes, devices, tensor


@pytest.mark.parametrize('dtype,device', product(dtypes, devices))
def test_spmm(dtype, device):
    row = torch.tensor([0, 0, 1, 2, 2], device=device)
    col = torch.tensor([0, 2, 1, 0, 1], device=device)
    index = torch.stack([row, col], dim=0)
    value = tensor([1, 2, 4, 1, 3], dtype, device)
    x = tensor([[1, 4], [2, 5], [3, 6]], dtype, device)

    out = spmm(index, value, 3, 3, x)
    assert out.tolist() == [[7, 16], [8, 20], [7, 19]]
