def METHOD_NAME(test_case, device):
    input = flow.tensor(
        np.ones(shape=(1, 3, 2), dtype=np.float32),
        dtype=flow.float32,
        device=flow.device(device),
    )
    like_tensor = flow.tensor(
        np.ones(shape=(3, 3, 2), dtype=np.float32),
        dtype=flow.float32,
        device=flow.device(device),
    )
    of_out = flow.broadcast_like(input, like_tensor, broadcast_axes=(0,))
    np_out = np.ones(shape=(3, 3, 2))
    test_case.assertTrue(np.allclose(of_out.numpy(), np_out, 1e-05, 1e-05))