pygrenade_vx.network

Modules

`pygrenade_vx.network.abstract`
`pygrenade_vx.network.routing`

Classes

`AlgorithmResult`
`AtomicNeuronOnExecutionInstance`
`AtomicNeuronOnNetwork`
`BackgroundSourcePopulation`
`CADCRecording`
`Compartment`
`CompartmentConnection`
`CompartmentConnectionConductance`
`CompartmentConnectionOnNeuron`
`CompartmentOnNeuron`
`ConnectionToHardwareRoutes`
`Coordinate`
`CoordinateSystem`
`Environment`
`ExternalSourcePopulation`
`ID`
`InputGenerator`
`InterExecutionInstanceProjection`
`InterExecutionInstanceProjectionOnNetwork`
`MADCRecording`
`Mechanism`
`MechanismCapacitance`
`MechanismOnCompartment`
`MechanismSynapticInputConductance`
`MechanismSynapticInputCurrent`
`Network`
`NetworkBuilder`
`NetworkGraph`
`NetworkGraphStatistics`
`Neuron`
`NeuronCircuit`
`NeuronRecording`
`NumberTopBottom`
`OnlyRecordingPlasticityRuleGenerator`
`PadRecording`
`ParameterIntervalDouble`	alias of `_pygrenade_vx_network.ParameterInterval_double_`
`ParameterInterval_double_`
`PlacementAlgorithm`
`PlacementAlgorithmBruteForce`
`PlacementAlgorithmDummy`
`PlacementAlgorithmRuleset`
`PlasticityRule`
`PlasticityRuleOnExecutionInstance`
`PlasticityRuleOnNetwork`
`Population`
`PopulationOnExecutionInstance`
`PopulationOnNetwork`
`Projection`
`ProjectionOnExecutionInstance`
`ProjectionOnNetwork`
`RawRecording`
`RawRecordingData`
`Receptor`
`ResourceManager`
`RoutingResult`
`SynapticInputEnvironment`
`SynapticInputEnvironmentConductance`
`SynapticInputEnvironmentCurrent`
`TimedRecording`
`UnplacedNeuronCircuit`

Functions

pygrenade_vx.network.build_network_graph(network: _pygrenade_vx_network.Network, routing_result: _pygrenade_vx_network.RoutingResult) → _pygrenade_vx_network.NetworkGraph: Build a hardware network representation for a given network.

pygrenade_vx.network.extract_cadc_samples(data: _pygrenade_vx_signal_flow.OutputData, network_graph: _pygrenade_vx_network.NetworkGraph) → list[tuple[numpy.ndarray[numpy.float32], numpy.ndarray[numpy.int32], numpy.ndarray[numpy.int32], numpy.ndarray[numpy.int32], numpy.ndarray[numpy.int32], numpy.ndarray[numpy.int32]]]

pygrenade_vx.network.extract_madc_samples(data: _pygrenade_vx_signal_flow.OutputData, network_graph: _pygrenade_vx_network.NetworkGraph) → list[tuple[numpy.ndarray[numpy.float32], numpy.ndarray[numpy.int32], numpy.ndarray[numpy.int32], numpy.ndarray[numpy.int32], numpy.ndarray[numpy.int32], numpy.ndarray[numpy.int32]]]

pygrenade_vx.network.extract_neuron_spikes(data: _pygrenade_vx_signal_flow.OutputData, network_graph: _pygrenade_vx_network.NetworkGraph) → list[dict[tuple[int, int, int], numpy.ndarray[numpy.float64]]]

pygrenade_vx.network.extract_plasticity_rule_recording_data(data: _pygrenade_vx_signal_flow.OutputData, network_graph: _pygrenade_vx_network.NetworkGraph, descriptor: _pygrenade_vx_network.PlasticityRuleOnNetwork) → Union[grenade::vx::signal_flow::vertex::PlasticityRule::RawRecordingData, _pygrenade_vx_network.PlasticityRule.TimedRecordingData]: Extract to be recorded observable data of a plasticity rule.

pygrenade_vx.network.extract_statistics(network_graph: grenade::vx::network::NetworkGraph) → grenade::vx::network::NetworkGraphStatistics: Extract statistics from network graph.

pygrenade_vx.network.requires_routing(current: _pygrenade_vx_network.Network, old_graph: _pygrenade_vx_network.NetworkGraph) → bool: Get whether the current network requires routing compared to the old network.

pygrenade_vx.network.run(*args, **kwargs)

Overloaded function.

run(connection: pyhxcomm_vx.ZeroMockConnectionHandle, network_graph: _pygrenade_vx_network.NetworkGraph, config: dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip], input: _pygrenade_vx_signal_flow.InputData, hooks: dict[pygrenade_common.ExecutionInstanceID, _pygrenade_vx_signal_flow.ExecutionInstanceHooks]) -> _pygrenade_vx_signal_flow.OutputData
run(connection: pyhxcomm_vx.ZeroMockConnectionHandle, network_graphs: list[_pygrenade_vx_network.NetworkGraph], configs: list[dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip]], inputs: list[_pygrenade_vx_signal_flow.InputData], hooks: dict[pygrenade_common.ExecutionInstanceID, _pygrenade_vx_signal_flow.ExecutionInstanceHooks]) -> list[_pygrenade_vx_signal_flow.OutputData]
run(connection: pyhxcomm_vx.ZeroMockConnectionHandle, network_graph: _pygrenade_vx_network.NetworkGraph, config: dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip], input: _pygrenade_vx_signal_flow.InputData) -> _pygrenade_vx_signal_flow.OutputData
run(connection: pyhxcomm_vx.ZeroMockConnectionHandle, network_graphs: list[_pygrenade_vx_network.NetworkGraph], configs: list[dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip]], inputs: list[_pygrenade_vx_signal_flow.InputData]) -> list[_pygrenade_vx_signal_flow.OutputData]
run(connection: pyhxcomm_vx.QuiggeldyConnectionHandle, network_graph: _pygrenade_vx_network.NetworkGraph, config: dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip], input: _pygrenade_vx_signal_flow.InputData, hooks: dict[pygrenade_common.ExecutionInstanceID, _pygrenade_vx_signal_flow.ExecutionInstanceHooks]) -> _pygrenade_vx_signal_flow.OutputData
run(connection: pyhxcomm_vx.QuiggeldyConnectionHandle, network_graphs: list[_pygrenade_vx_network.NetworkGraph], configs: list[dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip]], inputs: list[_pygrenade_vx_signal_flow.InputData], hooks: dict[pygrenade_common.ExecutionInstanceID, _pygrenade_vx_signal_flow.ExecutionInstanceHooks]) -> list[_pygrenade_vx_signal_flow.OutputData]
run(connection: pyhxcomm_vx.QuiggeldyConnectionHandle, network_graph: _pygrenade_vx_network.NetworkGraph, config: dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip], input: _pygrenade_vx_signal_flow.InputData) -> _pygrenade_vx_signal_flow.OutputData
run(connection: pyhxcomm_vx.QuiggeldyConnectionHandle, network_graphs: list[_pygrenade_vx_network.NetworkGraph], configs: list[dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip]], inputs: list[_pygrenade_vx_signal_flow.InputData]) -> list[_pygrenade_vx_signal_flow.OutputData]
run(connection: pyhxcomm_vx.SimConnectionHandle, network_graph: _pygrenade_vx_network.NetworkGraph, config: dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip], input: _pygrenade_vx_signal_flow.InputData, hooks: dict[pygrenade_common.ExecutionInstanceID, _pygrenade_vx_signal_flow.ExecutionInstanceHooks]) -> _pygrenade_vx_signal_flow.OutputData
run(connection: pyhxcomm_vx.SimConnectionHandle, network_graphs: list[_pygrenade_vx_network.NetworkGraph], configs: list[dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip]], inputs: list[_pygrenade_vx_signal_flow.InputData], hooks: dict[pygrenade_common.ExecutionInstanceID, _pygrenade_vx_signal_flow.ExecutionInstanceHooks]) -> list[_pygrenade_vx_signal_flow.OutputData]
run(connection: pyhxcomm_vx.SimConnectionHandle, network_graph: _pygrenade_vx_network.NetworkGraph, config: dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip], input: _pygrenade_vx_signal_flow.InputData) -> _pygrenade_vx_signal_flow.OutputData
run(connection: pyhxcomm_vx.SimConnectionHandle, network_graphs: list[_pygrenade_vx_network.NetworkGraph], configs: list[dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip]], inputs: list[_pygrenade_vx_signal_flow.InputData]) -> list[_pygrenade_vx_signal_flow.OutputData]
run(connection: pyhxcomm_vx.ARQConnectionHandle, network_graph: _pygrenade_vx_network.NetworkGraph, config: dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip], input: _pygrenade_vx_signal_flow.InputData, hooks: dict[pygrenade_common.ExecutionInstanceID, _pygrenade_vx_signal_flow.ExecutionInstanceHooks]) -> _pygrenade_vx_signal_flow.OutputData
run(connection: pyhxcomm_vx.ARQConnectionHandle, network_graphs: list[_pygrenade_vx_network.NetworkGraph], configs: list[dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip]], inputs: list[_pygrenade_vx_signal_flow.InputData], hooks: dict[pygrenade_common.ExecutionInstanceID, _pygrenade_vx_signal_flow.ExecutionInstanceHooks]) -> list[_pygrenade_vx_signal_flow.OutputData]
run(connection: pyhxcomm_vx.ARQConnectionHandle, network_graph: _pygrenade_vx_network.NetworkGraph, config: dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip], input: _pygrenade_vx_signal_flow.InputData) -> _pygrenade_vx_signal_flow.OutputData
run(connection: pyhxcomm_vx.ARQConnectionHandle, network_graphs: list[_pygrenade_vx_network.NetworkGraph], configs: list[dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip]], inputs: list[_pygrenade_vx_signal_flow.InputData]) -> list[_pygrenade_vx_signal_flow.OutputData]
run(connection: _pygrenade_vx_execution.JITGraphExecutorHandle, network_graph: _pygrenade_vx_network.NetworkGraph, config: dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip], input: _pygrenade_vx_signal_flow.InputData, hooks: dict[pygrenade_common.ExecutionInstanceID, _pygrenade_vx_signal_flow.ExecutionInstanceHooks]) -> _pygrenade_vx_signal_flow.OutputData
run(connection: _pygrenade_vx_execution.JITGraphExecutorHandle, network_graphs: list[_pygrenade_vx_network.NetworkGraph], configs: list[dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip]], inputs: list[_pygrenade_vx_signal_flow.InputData], hooks: dict[pygrenade_common.ExecutionInstanceID, _pygrenade_vx_signal_flow.ExecutionInstanceHooks]) -> list[_pygrenade_vx_signal_flow.OutputData]
run(connection: _pygrenade_vx_execution.JITGraphExecutorHandle, network_graph: _pygrenade_vx_network.NetworkGraph, config: dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip], input: _pygrenade_vx_signal_flow.InputData) -> _pygrenade_vx_signal_flow.OutputData
run(connection: _pygrenade_vx_execution.JITGraphExecutorHandle, network_graphs: list[_pygrenade_vx_network.NetworkGraph], configs: list[dict[pygrenade_common.ExecutionInstanceID, pylola_vx_v3.Chip]], inputs: list[_pygrenade_vx_signal_flow.InputData]) -> list[_pygrenade_vx_signal_flow.OutputData]

pygrenade_vx.network.update_network_graph(network_graph: _pygrenade_vx_network.NetworkGraph, network: _pygrenade_vx_network.Network) → None: Update an exisiting hardware graph representation. For this to work, no new routing has to have been required.