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import torch
from torch_geometric.data import Data
from torch_geometric.transforms import SIGN
def test_sign():
x = torch.ones(5, 3)
edge_index = torch.tensor([
[0, 1, 2, 3, 3, 4],
[1, 0, 3, 2, 4, 3],
])
data = Data(x=x, edge_index=edge_index)
transform = SIGN(K=2)
assert str(transform) == 'SIGN(K=2)'
expected_x1 = torch.tensor([
[1, 1, 1],
[1, 1, 1],
[0.7071, 0.7071, 0.7071],
[1.4142, 1.4142, 1.4142],
[0.7071, 0.7071, 0.7071],
])
expected_x2 = torch.ones(5, 3)
out = transform(data)
assert len(out) == 4
assert torch.equal(out.edge_index, edge_index)
assert torch.allclose(out.x, x)
assert torch.allclose(out.x1, expected_x1, atol=1e-4)
assert torch.allclose(out.x2, expected_x2)
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