5762f2b30f58c1623efd6841d1273d8ab67541ea,test/nn/conv/test_gin_conv.py,,test_gin_conv,#,8

Before Change

    assert (torch.abs(conv(x, edge_index) -
            jittedconv(x, edge_index)) < 1e-6).all().item()

    conv = GINConv(nn, train_eps=False)
    assert conv(x, edge_index).size() == (num_nodes, out_channels)
    jitcls = conv.jittable(x=x, edge_index=edge_index, full_eval=True)
    jitconv = jitcls(nn, train_eps=False)
    jitconv.load_state_dict(conv.state_dict())
    jittedconv = torch.jit.script(jitconv)
    conv.eval()

After Change

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


def test_gine_conv():
    in_channels, out_channels = (16, 32)

Instances