Tools for simulating neural models generated using Nengo on the SpiNNaker platform
nengo_spinnaker is a SpiNNaker-based simulator for models built using Nengo. It allows real-time simulation of large-scale models.
Install using pip:
pip install nengo_spinnaker
To use SpiNNaker with Nengo you must create a nengo_spinnaker.conf file in either the directory you will be running your code from or, more usefully, a centralised location. The centralised location varies based on your operating system:
This file exists to inform nengo_spinnaker of the nature of the SpiNNaker machine you wish to simulate with and how to communicate with it. This file may look like:
### SpiNNaker system configuration # # Settings for the SpiNNaker machine which will be used to simulate Nengo # models. [spinnaker_machine] hostname: <host name of the machine here> width: <width of the machine here> height: <height of the machine here> # Required parameters are: # - hostname: (string) either the hostname or the IP address of the board # containing chip (0, 0). # - width: (int) width of the machine (0 <= width < 256) # - height: (int) height of the machine (0 <= height < 256) # # Optional parameters are: # - "hardware_version: (int) Version number of the SpiNNaker boards # used in the system (e.g. SpiNN-5 boards would be 5). At the # time of writing this value is ignored and can be safely set to # the default value of 0. # - "led_config": (int) Defines LED pin numbers for the SpiNNaker boards # used in the system. The four least significant bits (3:0) give # the number of LEDs. The next four bits give the pin number of the # first LED, the next four the pin number of the second LED, and so # forth. At the time of writing, all SpiNNaker board versions have # their first LED attached to pin 0 and thus the default value of # 0x00000001 is safe. # # For a Spin3 board connected to 192.168.240.253 this section would look # like: # # hostname: 192.168.240.253 # width: 2 # height: 2 # hardware_version: 3 # led_config: 0x00000502 # # For a Spin5 board connected to 192.168.1.1 this section would look # like: # # hostname: 192.168.1.1 # width: 8 # height: 8 # hardware_version: 5 # led_config: 0x00000001
To use SpiNNaker to simulate your Nengo model first construct the model as normal. Then use nengo_spinnaker.Simulator to simulate your model.:
import nengo_spinnaker # Build model as normal sim = nengo_spinnaker.Simulator(network) sim.run(10.0) # When done sim.close()
After running your model you must call close to leave the SpiNNaker machine in a clean state. Alternatively a with block may be used to ensure the simulator is closed after use:
with sim: sim.run(10.0)
Some specific configuration options are available for SpiNNaker. To use these:
# Modify config to use SpiNNaker parameters nengo_spinnaker.add_spinnaker_params(network.config)
Current settings are:
function_of_time - Mark a Node as being a function of time only.
function_of_time_period - Provide the period of the Node.
with model: signal = nengo.Node(lambda t: np.sin(t)) nengo_spinnaker.add_params(model.config) model.config[signal].function_of_time = True
See DEVELOP.md for information on how to get involved in nengo_spinnaker development and how to install and build the latest copy of nengo_spinnaker.
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