hxtorch.spiking.ExecutionInstance

class hxtorch.spiking.ExecutionInstance(calib_path: Optional[Union[pathlib.Path, str]] = None, calib_cache_dir: Optional[Union[pathlib.Path, str]] = None, input_loopback: bool = False)

Bases: hxtorch.spiking.execution_instance.BaseExecutionInstance

__init__(calib_path: Optional[Union[pathlib.Path, str]] = None, calib_cache_dir: Optional[Union[pathlib.Path, str]] = None, input_loopback: bool = False) → None

Parameters: input_loopback – Record input spikes and use them for gradient calculation. Depending on link congestion, this may or may not be beneficial for the calculated gradient’s precision.

Methods

`__init__`([calib_path, calib_cache_dir, …])	param input_loopback Record input spikes and use them for gradient
`cadc_recordings`()	Return the instance’s `CADCRecording` object, holding all neurons that are to be recorded in this instance.
`calibrate`()	Manage calibration of chip instance.
`generate_playback_hooks`()	Handle config injected into grenade (not supported yet).
`load_calib`([calib_path])	Load a calibration from path `calib_path` and apply to the experiment’s chip object.

Attributes

cadc_recordings() → _pygrenade_vx_network.CADCRecording

Return the instance’s CADCRecording object, holding all neurons that are to be recorded in this instance.

Returns: The grenade.network.CADCRecoding object

calibrate(): Manage calibration of chip instance. In case a calibration path is provided, parameters for the modules are loaded if possible. If no calibration path is given, calibration targets are attempted to be loaded from the modules parameter objects and the chip will be calibrated accordingly. If no parameter changes are detected, the chip will not be recalibrated.

generate_playback_hooks() → _pygrenade_vx_signal_flow.ExecutionInstanceHooks

Handle config injected into grenade (not supported yet).

Returns: Returns the execution instance’s (empty) playback hooks injected into grenade.run.

load_calib(calib_path: Optional[Union[pathlib.Path, str]] = None)

Load a calibration from path calib_path and apply to the experiment’s chip object. If no path is specified a nightly calib is applied.

Parameters: calib_path – The path to the calibration. It None, the nightly calib is loaded.
Returns: Returns the chip object for the given calibration.