hxtorch.spiking.execution_instance.NeuronPlacement

class hxtorch.spiking.execution_instance.NeuronPlacement

Bases: object

Tracks assignment of pyNN IDs of HXNeuron based populations to the corresponding hardware entities, i.e. LogicalNeuronOnDLS.

__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__()	Initialize self.
id2logicalneuron(neuron_id)	Get hardware coordinate from pyNN int.
register_id(neuron_id, shape[, …])	Register a new ID to placement :param neuron_id: pyNN neuron ID to be registered :param shape: The shape of the neurons on hardware. :param placement_constraint: A logical neuron or a list of logical neurons, each corresponding to one ID in neuron_id.

id2logicalneuron(neuron_id: Union[List[int], int]) → Union[List[pyhalco_hicann_dls_vx_v3.LogicalNeuronOnDLS], pyhalco_hicann_dls_vx_v3.LogicalNeuronOnDLS]

Get hardware coordinate from pyNN int. :param neuron_id: pyNN neuron int

register_id(neuron_id: Union[List[int], int], shape: pyhalco_hicann_dls_vx_v3.LogicalNeuronCompartments, placement_constraint: Optional[Union[List[pyhalco_hicann_dls_vx_v3.LogicalNeuronOnDLS], pyhalco_hicann_dls_vx_v3.LogicalNeuronOnDLS]] = None)

Register a new ID to placement :param neuron_id: pyNN neuron ID to be registered :param shape: The shape of the neurons on hardware. :param placement_constraint: A logical neuron or a list of logical

neurons, each corresponding to one ID in neuron_id.