hxtorch.spiking.modules.Population

class hxtorch.spiking.modules.Population(size: int, experiment: Experiment, func: Union[Callable, torch.autograd.Function], execution_instance: Optional[ExecutionInstance] = None)

Bases: hxtorch.spiking.modules.hx_module.HXModule

Base class for populations on BSS-2

__init__(size: int, experiment: Experiment, func: Union[Callable, torch.autograd.Function], execution_instance: Optional[ExecutionInstance] = None) → None

Parameters

• size – Number of input neurons.

• experiment – Experiment to append layer to.

• execution_instance – Execution instance to place to.

• func – Callable function implementing the module’s forward functionality or a torch.autograd.Function implementing the module’s forward and backward operation. TODO: Inform about func args

Methods

__init__(size, experiment, func[, …])	param size Number of input neurons.
extra_repr()	Add additional information

Attributes

extra_repr() → str

Add additional information

size: int