spynnaker.pyNN.extra_algorithms package

Subpackages

• spynnaker.pyNN.extra_algorithms.splitter_components package
  • Submodules
  • spynnaker.pyNN.extra_algorithms.splitter_components.splitter_utils module
    • is_direct_poisson_source()
  • Module contents
    • AbstractSpynnakerSplitterDelay
      • AbstractSpynnakerSplitterDelay.accepts_edges_from_delay_vertex()
      • AbstractSpynnakerSplitterDelay.max_support_delay()
    • AbstractSupportsOneToOneSDRAMInput
      • AbstractSupportsOneToOneSDRAMInput.handles_source_vertex()
    • SplitterDelayVertexSlice
      • SplitterDelayVertexSlice.DELAY_RECORDING_ERROR
      • SplitterDelayVertexSlice.NEED_EXACT_ERROR_MESSAGE
      • SplitterDelayVertexSlice.create_machine_vertex()
      • SplitterDelayVertexSlice.create_machine_vertices()
      • SplitterDelayVertexSlice.get_in_coming_slices()
      • SplitterDelayVertexSlice.get_in_coming_vertices()
      • SplitterDelayVertexSlice.get_machine_vertex()
      • SplitterDelayVertexSlice.get_out_going_slices()
      • SplitterDelayVertexSlice.get_out_going_vertices()
      • SplitterDelayVertexSlice.get_sdram_used_by_atoms()
      • SplitterDelayVertexSlice.get_source_specific_in_coming_vertices()
      • SplitterDelayVertexSlice.machine_vertices_for_recording()
      • SplitterDelayVertexSlice.reset_called()
      • SplitterDelayVertexSlice.set_governed_app_vertex()
    • SplitterPoissonDelegate
      • SplitterPoissonDelegate.create_machine_vertices()
      • SplitterPoissonDelegate.get_in_coming_slices()
      • SplitterPoissonDelegate.get_out_going_slices()
      • SplitterPoissonDelegate.get_out_going_vertices()
      • SplitterPoissonDelegate.get_same_chip_groups()
      • SplitterPoissonDelegate.send_over_sdram
      • SplitterPoissonDelegate.set_governed_app_vertex()
    • SplitterPopulationVertex
      • SplitterPopulationVertex.accepts_edges_from_delay_vertex()
      • SplitterPopulationVertex.machine_vertices_for_recording()
      • SplitterPopulationVertex.max_support_delay()
      • SplitterPopulationVertex.reset_called()
      • SplitterPopulationVertex.set_governed_app_vertex()
    • SplitterPopulationVertexFixed
      • SplitterPopulationVertexFixed.create_machine_vertex()
      • SplitterPopulationVertexFixed.create_machine_vertices()
      • SplitterPopulationVertexFixed.get_in_coming_slices()
      • SplitterPopulationVertexFixed.get_in_coming_vertices()
      • SplitterPopulationVertexFixed.get_out_going_slices()
      • SplitterPopulationVertexFixed.get_out_going_vertices()
      • SplitterPopulationVertexFixed.get_sdram_used_by_atoms()
      • SplitterPopulationVertexFixed.get_source_specific_in_coming_vertices()
      • SplitterPopulationVertexFixed.machine_vertices_for_recording()
    • SplitterPopulationVertexNeuronsSynapses
      • SplitterPopulationVertexNeuronsSynapses.create_machine_vertices()
      • SplitterPopulationVertexNeuronsSynapses.get_in_coming_slices()
      • SplitterPopulationVertexNeuronsSynapses.get_in_coming_vertices()
      • SplitterPopulationVertexNeuronsSynapses.get_internal_multicast_partitions()
      • SplitterPopulationVertexNeuronsSynapses.get_internal_sdram_partitions()
      • SplitterPopulationVertexNeuronsSynapses.get_out_going_slices()
      • SplitterPopulationVertexNeuronsSynapses.get_out_going_vertices()
      • SplitterPopulationVertexNeuronsSynapses.get_same_chip_groups()
      • SplitterPopulationVertexNeuronsSynapses.get_source_specific_in_coming_vertices()
      • SplitterPopulationVertexNeuronsSynapses.handles_source_vertex()
      • SplitterPopulationVertexNeuronsSynapses.machine_vertices_for_recording()
      • SplitterPopulationVertexNeuronsSynapses.reset_called()
    • spynnaker_splitter_selector()

Module contents

class spynnaker.pyNN.extra_algorithms.SpYNNakerConnectionHolderGenerator

Bases: object

Sets up connection holders for reports to use.

__call__(application_graph: ApplicationGraph) → Mapping[Tuple[ProjectionApplicationEdge, SynapseInformation], ConnectionHolder]

Parameters:

application_graph – application graph

Returns:

the set of connection holders for after data specification generation

class spynnaker.pyNN.extra_algorithms.SpYNNakerSynapticMatrixReport

Bases: object

Generate the synaptic matrices for reporting purposes.

__call__(connection_holder: Dict[Tuple[ProjectionApplicationEdge, SynapseInformation], ConnectionHolder]) → None

Convert synaptic matrix for every application edge.

Parameters:

connection_holder – where the synaptic matrices are stored (possibly after retrieval from the machine)

spynnaker.pyNN.extra_algorithms.delay_support_adder() → Tuple[Sequence[DelayExtensionVertex], Sequence[Tuple[ApplicationEdge, str]]]

Adds the delay extensions to the application graph, now that all the splitter objects have been set.

Returns:

The delay vertices and delay edges that were added

spynnaker.pyNN.extra_algorithms.finish_connection_holders() → None

Finishes the connection holders after data has been generated within them, allowing any waiting callbacks to be called.

spynnaker.pyNN.extra_algorithms.neuron_expander() → None

Run the neuron expander.

Note

Needs to be done after data has been loaded.

spynnaker.pyNN.extra_algorithms.redundant_packet_count_report() → None

Writes a report detailing the redundant packet counts.

spynnaker.pyNN.extra_algorithms.spynnaker_neuron_graph_network_specification_report() → None

Produces a report describing the graph created from the neural populations and projections.

spynnaker.pyNN.extra_algorithms.synapse_expander() → None

Run the synapse expander.

Note

Needs to be done after data has been loaded.