hxtorch.spiking.modules.Projection

class hxtorch.spiking.modules.Projection(*prj_args, **prj_kwargs)

Bases: hxtorch.spiking.modules.hx_module.HXTorchBaseModule, hxtorch.core.modules.projection.Projection

Base class for projections on BSS-2

__init__(*prj_args, **prj_kwargs) → None

Initialize internal Module state, shared by both nn.Module and ScriptModule.

Methods

__init__(*prj_args, **prj_kwargs)	Initialize internal Module state, shared by both nn.Module and ScriptModule.
extra_repr()	Add additional information
post_process(*args, **kwargs)	This methods needs to be overridden for every derived module that demands hardware observables and is intended to translated hardware- affine datatypes returned by grenade into PyTorch tensors.
source_population()
target_population()

Attributes

extra_repr() → str

Add additional information

output_type

alias of types.Handle_graded_spikes

post_process(*args, **kwargs) → None

This methods needs to be overridden for every derived module that demands hardware observables and is intended to translated hardware- affine datatypes returned by grenade into PyTorch tensors.

Parameters

• hw_data – A HardwareObservables instance holding the hardware data assigned to this module.

• runtime – The requested runtime of the experiment on hardware in us.

• dt – The expected temporal resolution in hxtorch.

Returns

Hardware data represented as torch.Tensors. Note that torch.Tensors are required here to enable gradient flow.

source_population() → BasePopulation

target_population() → BasePopulation

weight: torch.Tensor