Propagate functions broken

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ValueError                                Traceback (most recent call last)
<ipython-input-17-d44d74edc612> in <module>()
----> 1 net.propagate("input", net.dataset.inputs[0])

~/.local/lib/python3.6/site-packages/conx/network.py in propagate(self, input, batch_size, update_pictures, raw)
   1479             outputs = self.model.predict(np.array(input), batch_size=batch_size)
   1480         elif self.num_input_layers == 1:
-> 1481             outputs = self.model.predict(np.array([input]), batch_size=batch_size)
   1482         else:
   1483             inputs = [np.array([x], "float32") for x in input]

~/.local/lib/python3.6/site-packages/keras/engine/training.py in predict(self, x, batch_size, verbose, steps)
   1780         x = _standardize_input_data(x, self._feed_input_names,
   1781                                     self._feed_input_shapes,
-> 1782                                     check_batch_axis=False)
   1783         if self.stateful:
   1784             if x[0].shape[0] > batch_size and x[0].shape[0] % batch_size != 0:

~/.local/lib/python3.6/site-packages/keras/engine/training.py in _standardize_input_data(data, names, shapes, check_batch_axis, exception_prefix)
    108                         ': expected ' + names[i] + ' to have ' +
    109                         str(len(shape)) + ' dimensions, but got array '
--> 110                         'with shape ' + str(data_shape))
    111                 if not check_batch_axis:
    112                     data_shape = data_shape[1:]

ValueError: Error when checking : expected input to have 4 dimensions, but got array with shape (1, 1)