'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:`