TypeError: can't multiply sequence by non-int of type 'float'

[sauravtii]

I am trying out this tutorial (https://www.youtube.com/watch?v=FxTMH9VRsgk) in which he converts the LeNet-5 architecture to SNN and then simulates it using 'INI; simulator. I am following the exact same tutorial, the only difference is, I am using spinnaker instead of INI, and it is giving me the following error. I have also provided my config file below.

Link to the github repo mentioned in the tutorial:
https://github.com/iCAS-Lab/neuro_comp_class

Can anyone please help me on this ?

The whole output after calling out the main function:

SNN toolbox WARNING: Delay (0.0) must be at least one time step (1.0). Setting delay = dt.

SNN toolbox WARNING: For optimal correspondence between the original ANN and the converted SNN simulated on pyNN, the threshold should be 0.01. Current value: 1.0.
Temporarily setting batch_size to 1 because simulator does not support parallel testing of multiple samples.
Initializing spiNNaker simulator...

Detected PyNN version 0.9.5 and Neo version 0.6.1
['/home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/spinn_front_end_common/interface/spinnaker.cfg', '/home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/spynnaker/pyNN/spynnaker.cfg', '/home/saurav/.spynnaker.cfg']
2022-08-12 11:07:26 INFO: Read cfg files: /home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/spinn_front_end_common/interface/spinnaker.cfg, /home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/spynnaker/pyNN/spynnaker.cfg, /home/saurav/.spynnaker.cfg
2022-08-12 11:07:26 INFO: Will search these locations for binaries: /home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/spinn_front_end_common/common_model_binaries : /home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/spynnaker/pyNN/model_binaries
Traceback (most recent call last):
  File "/home/saurav/Desktop/icas_spinnaker_snntoolbox/neuro_comp_class/tutorials/snntb/snntb.py", line 80, in <module>
    main(config_filepath)
  File "/home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/snntoolbox/bin/run.py", line 31, in main
    run_pipeline(config)
  File "/home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/snntoolbox/bin/utils.py", line 57, in run_pipeline
    spiking_model = target_sim.SNN(config, queue)
  File "/home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/snntoolbox/simulation/target_simulators/pyNN_target_sim.py", line 46, in __init__
    AbstractSNN.__init__(self, config, queue)
  File "/home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/snntoolbox/simulation/utils.py", line 167, in __init__
    self.sim = initialize_simulator(config)
  File "/home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/snntoolbox/bin/utils.py", line 558, in initialize_simulator
    sim.setup(timestep=config.getfloat('simulation', 'dt'))
  File "/home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/spynnaker8/__init__.py", line 347, in setup
    SpiNNaker(
  File "/home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/spynnaker8/spinnaker.py", line 100, in __init__
    super(SpiNNaker, self).__init__(
  File "/home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/spynnaker/pyNN/abstract_spinnaker_common.py", line 150, in __init__
    self._set_up_timings(
  File "/home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/spynnaker/pyNN/abstract_spinnaker_common.py", line 194, in _set_up_timings
    if (max_delay is not None and max_delay * 1000.0 >
TypeError: can't multiply sequence by non-int of type 'float'

.spynnaker.cfg file:

[Machine]
#-------
# Information about the target SpiNNaker board or machine:
# machineName: The name or IP address or the target board

# One and only one of the three machineName, spalloc_server or virtual_board = True must be set

# machine name is typically a URL and then version is required
machineName = 192.168.240.1
version = 5

# spalloc_server is typically a URL and then port and user are required
spalloc_server = None
spalloc_port = 22244
spalloc_user = None

# If using virtual_board both width and height must be set
virtual_board = False
# Allowed values pairs are (2,2)  (8,8)   (n*12,m*12)  and (n*12+4, m*12+4)
width = None
height = None

# Time scale factor allows the slowing down of the simulation
time_scale_factor = None

[Reports]
# options are DEFAULT or a file path
# In all cases oldest folders are automatically deleted to max_reports_kept=
default_report_file_path = DEFAULT

# options are DEFAULT, or a file path
# In all cases oldest folders are automatically deleted to max_reports_kept=
default_application_data_file_path = DEFAULT

[Mode]
# mode = Production or Debug
# In Debug mode all report boolean config values are automatically overwritten to True
mode = Production



# Additional config options can be found in:
# /home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/spinn_front_end_common/interface/spinnaker.cfg
# /home/saurav/miniconda3/envs/tf/lib/python3.9/site-packages/spynnaker/pyNN/spynnaker.cfg

# Copy any additional settings you want to change here including section headings

Config file creation:

# Generate Config file
config = configparser.ConfigParser()
config['paths'] = {
    'path_wd': WORKING_DIR,
    'dataset_path': DATASET_DIR,
    'filename_ann': MODEL_NAME,
    'runlabel': MODEL_NAME+'_'+str(NUM_STEPS_PER_SAMPLE)
}
config['tools'] = {
    'evaluate_ann': True,
    'parse': True,
    'normalize': True,
    'simulate': True
}
config['simulation'] = {
    'simulator': 'spiNNaker',
    'duration': NUM_STEPS_PER_SAMPLE,
    'num_to_test': NUM_TEST_SAMPLES,
    'batch_size': BATCH_SIZE,
    'keras_backend': 'tensorflow'
}
config['output'] = {
    'verbose': 0,
    'plot_vars': {
        'input_image',
        'spiketrains',
        'spikerates',
        'spikecounts',
        'operations',
        'normalization_activations',
        'activations',
        'correlation',
        'v_mem',
        'error_t'
    },
    'overwrite': True
}
# Write the configuration file
config_filepath = os.path.join(WORKING_DIR, 'config')
with open(config_filepath, 'w') as configfile:
    config.write(configfile)

[rbodo]

I can't offer support for spinnaker-related questions at the moment; perhaps @ej159 has some insights?

[ej159]

This sounds like it could be a problem with SpiNNaker toolchain versions. You can try checking the versions of your sPyNNaker and other tools in pip.

Unfortunately I don't have an enormous amount of bandwidth at the moment to properly troubleshoot the problems you are coming up with, but in a couple of weeks' time I will be able to.

[sauravtii]

I did checked the version of sPyNNaker and other tools and they all are up to date.

[sauravtii]

Just wanted to follow up