18f7a20f9098da9bd848e31b501b6b1c571accc1,test/nn/conv/test_appnp.py,,test_appnp,#,5

Before Change

def test_appnp():
    in_channels, out_channels = (16, 32)
    edge_index = torch.tensor([[0, 0, 0, 1, 2, 3], [1, 2, 3, 0, 0, 0]])
    edge_weight = torch.rand(edge_index.size(1))
    num_nodes = edge_index.max().item() + 1
    x = torch.randn((num_nodes, in_channels))

    lin = torch.nn.Linear(in_channels, out_channels)
    conv = APPNP(K=10, alpha=0.1)

After Change

    jit = torch.jit.script(conv.jittable(t))
    assert jit(x, edge_index).tolist() == out.tolist()

    t = "(Tensor, SparseTensor, OptTensor) -> Tensor"
    jit = torch.jit.script(conv.jittable(t))
    assert torch.allclose(conv(x, adj.t()), out, atol=1e-6)

Instances