1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
|
from itertools import product
import pytest
import torch
from torch_sparse import spmm
from torch_sparse.testing import devices, dtypes, 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]]
|
