lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout

lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models

digraph inheritance3e33676b51 { bgcolor=transparent; rankdir=TB; size=""; "ABC" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Helper class that provides a standard way to create an ABC using"]; "AbstractProcessModel" [URL="../../lava/lava.magma.core.model.html#lava.magma.core.model.model.AbstractProcessModel",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Represents a model that implements the behavior of a Process."]; "ABC" -> "AbstractProcessModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AbstractPyProcessModel" [URL="../../lava/lava.magma.core.model.py.html#lava.magma.core.model.py.model.AbstractPyProcessModel",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Abstract interface for Python ProcessModels."]; "AbstractProcessModel" -> "AbstractPyProcessModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ABC" -> "AbstractPyProcessModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PyLoihiProcessModel" [URL="../../lava/lava.magma.core.model.py.html#lava.magma.core.model.py.model.PyLoihiProcessModel",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="ProcessModel to simulate a Process on Loihi using CPU."]; "AbstractPyProcessModel" -> "PyLoihiProcessModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "SolutionReadoutPyModel" [URL="../lava-lib-optimization/lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.html#lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="CPU model for the SolutionReadout process."]; "PyLoihiProcessModel" -> "SolutionReadoutPyModel" [arrowsize=0.5,style="setlinewidth(0.5)"]; }
class lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel(proc_params=None)

Bases: PyLoihiProcessModel

CPU model for the SolutionReadout process. The process receives two types of messages, an updated cost and the state of the solver network representing the current candidate solution to an OptimizationProblem. Additionally, a target cost can be defined by the user, once this cost is reached by the solver network, this process will request the runtime service to pause execution.

cost_in: PyInPort = LavaPyType(cls=<class 'lava.magma.core.model.py.ports.PyInPortVectorDense'>, d_type=<class 'numpy.int32'>, precision=32)
static decode_cost(raw_cost)
Return type:

ndarray

static decode_solution(raw_solution)
Return type:

ndarray

implements_process

alias of SolutionReadout

implements_protocol

alias of LoihiProtocol

min_cost: ndarray = LavaPyType(cls=<class 'numpy.ndarray'>, d_type=<class 'numpy.int32'>, precision=32)
read_solution: PyInPort = LavaPyType(cls=<class 'lava.magma.core.model.py.ports.PyInPortVectorDense'>, d_type=<class 'numpy.int32'>, precision=32)
required_resources: ty.List[ty.Type[AbstractResource]] = [<class 'lava.magma.core.resources.CPU'>]
run_spk()

Function that runs in Spiking Phase

solution: ndarray = LavaPyType(cls=<class 'numpy.ndarray'>, d_type=<class 'numpy.int32'>, precision=32)
solution_step: ndarray = LavaPyType(cls=<class 'numpy.ndarray'>, d_type=<class 'numpy.int32'>, precision=32)
stop = False
target_cost: int = LavaPyType(cls=<class 'int'>, d_type=<class 'numpy.int32'>, precision=32)
timestep_in: PyInPort = LavaPyType(cls=<class 'lava.magma.core.model.py.ports.PyInPortVectorDense'>, d_type=<class 'numpy.int32'>, precision=32)

lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.process

digraph inheritance093968d846 { bgcolor=transparent; rankdir=TB; size=""; "AbstractProcess" [URL="../../lava/lava.magma.core.process.html#lava.magma.core.process.process.AbstractProcess",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The notion of a Process is inspired by the Communicating Sequential"]; "SolutionReadout" [URL="../lava-lib-optimization/lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.html#lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.process.SolutionReadout",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Process to readout solution from SNN and make it available on host."]; "AbstractProcess" -> "SolutionReadout" [arrowsize=0.5,style="setlinewidth(0.5)"]; }
class lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.process.SolutionReadout(shape, target_cost=None, name=None, log_config=None)

Bases: AbstractProcess

Process to readout solution from SNN and make it available on host.

Parameters:
  • shape (The shape of the set of nodes, or process, which state will be read.) –

  • target_cost (cost value at which, once attained by the network,) –

  • execution. (this process will stop) –

  • name (Name of the Process. Default is 'Process_ID', where ID is an) –

  • automatically. (integer value that is determined) –

  • log_config (Configuration options for logging.) –

read_solution

A message received on this ports signifies the process should call read on its RefPort.

Type:

InPort

ref_port

A reference port to a variable in another process which state will be remotely accessed upon read request. Here, it reads the current variables assignment by a solver to an optimization problem.

Type:

RefPort

target_cost

Cost value at which, once attained by the network.

Type:

Var