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TypeError: make_step() missing 1 required positional argument: 'state'

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TypeError                     Traceback (most recent call last)
<ipython-input-7-e7c99e8e711c> in <module>
      7 dl_test_data = {inp: np.resize(inputs_test, (minibatch_size, n_steps, dimensions)),
      8                 p_out: np.resize(targets_test, (minibatch_size, n_steps, 2))}
----> 9 with nengo_dl.Simulator(model, minibatch_size=minibatch_size) as sim:
     10     loss_pre = sim.loss(dl_test_data)
     11 

~/nengo-dl/nengo_dl/simulator.py in __init__(self, network, dt, seed, model, dtype, device, unroll_simulation, minibatch_size, tensorboard, progress_bar)
    186                                       config=session_config)
    187 
--> 188         self.reset(seed=seed)
    189 
    190         self.closed = False

~/nengo-dl/nengo_dl/simulator.py in reset(self, seed)
    221 
    222         with self.sess.as_default():
--> 223             self.tensor_graph.build_post(self.sess, self.rng)
    224 
    225     def soft_reset(self, include_trainable=False, include_probes=False):

~/.local/lib/python3.6/site-packages/nengo/utils/magic.py in __call__(self, *args, **kwargs)
    179                 return self.wrapper(wrapped, instance, args, kwargs)
    180             else:
--> 181                 return self.wrapper(self.__wrapped__, self.instance, args, kwargs)
    182         else:
    183             instance = getattr(self.__wrapped__, "__self__", None)

~/nengo-dl/nengo_dl/tensor_graph.py in with_self(wrapped, instance, args, kwargs)
     37 
     38     with instance.graph.as_default(), instance.graph.device(instance.device):
---> 39         return wrapped(*args, **kwargs)
     40 
     41 

~/nengo-dl/nengo_dl/tensor_graph.py in build_post(self, sess, rng)
    729                         (n.size_in,), (n.size_out,), self.dt,
    730                         output.get_rng(rng))
--> 731                     for _ in range(self.minibatch_size)]
    732             elif n.size_out > 0:
    733                 self.input_funcs[n] = [

~/nengo-dl/nengo_dl/tensor_graph.py in <listcomp>(.0)
    729                         (n.size_in,), (n.size_out,), self.dt,
    730                         output.get_rng(rng))
--> 731                     for _ in range(self.minibatch_size)]
    732             elif n.size_out > 0:
    733                 self.input_funcs[n] = [

TypeError: make_step() missing 1 required positional argument: 'state'