def METHOD_NAME():
    dev = tvm.cpu()
    target = "llvm"
    tol = 1e-3
    with relay.build_config(opt_level=3):
        lib = relay.build(_create_graph_annotated(), target=target)
    m = tvm.contrib.graph_executor.GraphModule(lib["default"](dev))
    shape = (10, 10)
    x_data = np.random.rand(*shape).astype("float32")
    y_data = np.random.rand(*shape).astype("float32")
    m.set_input("x", x_data)
    m.set_input("y", y_data)
    m.run()
    out = tvm.nd.empty(shape, device=dev)
    out = m.get_output(0, out)
    expected = (y_data * y_data) - (x_data + x_data)
    tvm.testing.assert_allclose(out.numpy(), expected, rtol=tol, atol=tol)