'SNN' object has no attribute '_is_aedat_input'

[Originofamonia]

Hello,
Thanks for sharing the DNN implementation on the Loihi chip!
When I was trying to reproduce the b_image_classification_cifar.ipynb, I encountered this error:
AttributeError: 'SNN' object has no attribute '_is_aedat_input'.
Any ideas on how to fix this?

Thanks!
`---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
in
7 )
8
----> 9 convert_model(config_file_path)

in convert_model(config_file_path)
4 from snntoolbox.bin.run import main
5
----> 6 main(config_file_path)

~/nxsdk095/lib/python3.5/site-packages/snntoolbox/bin/run.py in main(filepath)
29 if filepath is not None:
30 config = update_setup(filepath)
---> 31 run_pipeline(config)
32 return
33

~/nxsdk095/lib/python3.5/site-packages/snntoolbox/bin/utils.py in run_pipeline(config, queue)
125 config.get('paths', 'filename_parsed_model')))
126
--> 127 spiking_model.build(parsed_model, **testset)
128
129 # Export network in a format specific to the simulator with which it

~/nxsdk095/lib/python3.5/site-packages/snntoolbox/simulation/utils.py in build(self, parsed_model, **kwargs)
434
435 # Iterate over layers to create spiking neurons and connections.
--> 436 self.setup_layers(batch_shape)
437
438 print("Compiling spiking model...\n")

~/nxsdk095/lib/python3.5/site-packages/snntoolbox/simulation/utils.py in setup_layers(self, batch_shape)
765 """Iterates over all layers to instantiate them in the simulator"""
766
--> 767 self.add_input_layer(batch_shape)
768 for layer in self.parsed_model.layers[1:]:
769 print("Building layer: {}".format(layer.name))

~/0.9.5/nxsdk-apps-0.9.5/inrc_dnn/nxsdk_modules_ncl/snntoolbox/nx_backend.py in add_input_layer(self, input_shape)
255 if self._poisson_input:
256 raise NotImplementedError
--> 257 elif self._is_aedat_input:
258 input_mode = nxtf.InputModes.AEDAT
259 else:`