hxtorch.spiking.execution_instance

Definition of ExecutionInstance, wrapping grenade.common.ExecutionInstanceID, and providing functionality for chip instance configuration

Classes

ABC()

Helper class that provides a standard way to create an ABC using inheritance.

BaseExecutionInstance()

ExecutionInstance base class

ExecutionInstance(calib_path, str]] = None, …)

ExecutionInstances

List of ExecutionInstances

NeuronCalibTarget(leak, numpy.ndarray] = 80, …)

Target parameters for the neuron calibration.

NeuronPlacement()

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

Path(*args, **kwargs)

PurePath subclass that can make system calls.

SpikingCalibOptions(cadc_options, …)

Data class containing further options for spiking calibration.

SpikingCalibTarget(cadc_target, …)

Data class containing targets for spiking neuron calibration.

Functions

hxtorch.spiking.execution_instance.abstractmethod(funcobj)

A decorator indicating abstract methods.

Requires that the metaclass is ABCMeta or derived from it. A class that has a metaclass derived from ABCMeta cannot be instantiated unless all of its abstract methods are overridden. The abstract methods can be called using any of the normal ‘super’ call mechanisms. abstractmethod() may be used to declare abstract methods for properties and descriptors.

Usage:

class C(metaclass=ABCMeta):

@abstractmethod def my_abstract_method(self, …):

…

hxtorch.spiking.execution_instance.calibrate(target: calix.common.base.TopLevelCalibTarget, options: Optional[calix.common.base.CalibOptions] = None, cache_paths: Optional[List[pathlib.Path]] = None, cache_read_only: Optional[bool] = False, connection: Optional = None) → calix.common.base.CalibResult

Calibrate chip with cache functionality. Calibration function is deduced from target and options type. If cache_paths is not empty, searches for cached calibration result with same parameters in list order. If no cache is found executes calibration and caches in fist path with write access.

Parameters

  • target – Target values for calibration.

  • options – Options for calibration.

  • cache_paths – List of possible cache locations. If list is empty, caching is skipped. If None defaults are used. Defaults are read-only shared wang cache path followed by user home cache.

  • cache_read_only – Only read cache file, do not create cache file if one does not exist.

Returns

Calibration result

hxtorch.spiking.execution_instance.init_hardware(*args, **kwargs)

Overloaded function.

  1. init_hardware(hwdb_path: Optional[hxtorch::core::HWDBPath] = None, ann: bool = False) -> None

Initialize the hardware automatically from the environment.

@param hwdb_path Optional path to the hwdb to use @param spiking Boolean flag indicating whether spiking or non-spiking calibration is loaded

  1. init_hardware(calibration_path: hxtorch::core::CalibrationPath) -> None

Initialize the hardware with calibration path.

@param calibration_path Calibration path to load from

hxtorch.spiking.execution_instance.release_hardware() → None

Release hardware resource.