def METHOD_NAME(test_case):
    np_x = np.random.randn(5, 3)
    x = flow.tensor(np_x, dtype=flow.float32)
    class GraphReturnEager(flow.nn.Graph):
        def __init__(self):
            super().__init__()
        def build(self):
            # Return free eager tensor
            return x
    g_return_eager = GraphReturnEager()
    # Run first time
    ret_eager_out = g_return_eager()
    test_case.assertTrue(
        np.allclose(ret_eager_out.numpy(), np_x, atol=1e-4, rtol=1e-4)
    )
    # Run second time
    ret_eager_out1 = g_return_eager()
    test_case.assertTrue(
        np.allclose(ret_eager_out1.numpy(), np_x, atol=1e-4, rtol=1e-4)
    )