Keras CNN to nengo SNN conversion

Hi;
I am working on exoplanet detection from kepler data using Spiking Neural Network. I have refactored a notebook from Kaggle which does this using keras CNN.

The code is getting an error:

---------------------------------------------------------------------------
ValidationError                           Traceback (most recent call last)
<ipython-input-163-71005d854e2d> in <module>
     17                 {converter.outputs[converter.model.output]: y_test},
     18             ),
---> 19             epochs=1,
     20         )
     21 

/opt/conda/lib/python3.7/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)

/opt/conda/lib/python3.7/site-packages/nengo_dl/simulator.py in require_open(wrapped, instance, args, kwargs)
     65         )
     66 
---> 67     return wrapped(*args, **kwargs)
     68 
     69 

/opt/conda/lib/python3.7/site-packages/nengo_dl/simulator.py in fit(self, x, y, n_steps, stateful, **kwargs)
    858             y_val = validation_data[1]
    859             y_val = self._standardize_data(y_val, self.model.probes)
--> 860             self._check_data(y_val, n_steps=None, nodes=False)
    861 
    862             if len(validation_data) == 2:

/opt/conda/lib/python3.7/site-packages/nengo_dl/simulator.py in _check_data(self, data, batch_size, n_steps, nodes)
   1959                     f"should have rank 3 (batch_size, n_steps, dimensions), found rank "
   1960                     f"{len(x.shape)}",
-> 1961                     f"{name} data",
   1962                 )
   1963             if x.shape[0] < self.minibatch_size:

ValidationError: probe data: should have rank 3 (batch_size, n_steps, dimensions), found rank 2

I am enclosing the full code here.

dear members can anyone help me fix this problem.
Thanks