jaxsnn.event.modules.hx.lif.neuron.Experiment

class jaxsnn.event.modules.hx.lif.neuron.Experiment(topology: Topology, *args, inter_batch_entry_wait: int = 0, **kwargs)

Bases: hxtorch.core.experiment.BaseExperiment

Hardware experiment class for executing experiment on BrainScaleS-2

__init__(topology: Topology, *args, inter_batch_entry_wait: int = 0, **kwargs) → None

Initialize the hardware experiment.

Parameters

• topology – The network topology defining the structure and connections.

• inter_batch_entry_wait – Wait time between batch entries in FPGA cycles.

• args – Additional positional arguments passed to BaseExperiment.

• kwargs – Additional keyword arguments passed to BaseExperiment.

Methods

__init__(topology, *args[, …])	Initialize the hardware experiment.
expected_return_type(input_spikes)
run(input_spikes, parameters)	Executes the experiment in mock-mode or on hardware using the information added to the experiment for a time given by runtime and returns a dict of hardware data represented as PyTorch data types.

Attributes

batch_size

Returns the batch size of the experiment.

property batch_size

Returns the batch size of the experiment.

expected_return_type(input_spikes: IOData) → IOData

run(input_spikes: IOData, parameters: Parameters) → IOData

Executes the experiment in mock-mode or on hardware using the information added to the experiment for a time given by runtime and returns a dict of hardware data represented as PyTorch data types.

Parameters

runtime – The runtime of the experiment on hardware in µs.

Returns

Returns the data map as dict, where the keys are the population descriptors and values are tuples of values returned by the corresponding module’s post_process method.