spynnaker.pyNN.extra_algorithms package

Subpackages

• spynnaker.pyNN.extra_algorithms.splitter_components package
  • Module contents

Module contents

spynnaker.pyNN.extra_algorithms.delay_support_adder(app_graph)

adds the delay extensions to the app graph, now that all the splitter objects have been set.

Parameters:app_graph (ApplicationGraph) – the app graph

spynnaker.pyNN.extra_algorithms.finish_connection_holders(application_graph)

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

Parameters:application_graph (ApplicationGraph) –

class spynnaker.pyNN.extra_algorithms.GraphEdgeWeightUpdater

Bases: object

Updates the weights of all edges.

__call__(machine_graph)

Parameters:machine_graph (MachineGraph) – the machine_graph whose edges are to be updated

spynnaker.pyNN.extra_algorithms.on_chip_bitfield_generator(placements, app_graph, executable_finder, transceiver, machine_graph, routing_infos)

Loads and runs the bit field generator on chip.

Parameters:

• placements (Placements) – placements
• app_graph (ApplicationGraph) – the app graph
• executable_finder (ExecutableFinder) – the executable finder
• transceiver (Transceiver) – the SpiNNMan instance
• machine_graph (MachineGraph) – the machine graph
• routing_infos (RoutingInfo) – the key to edge map

spynnaker.pyNN.extra_algorithms.redundant_packet_count_report()

Returns:

class spynnaker.pyNN.extra_algorithms.SpYNNakerConnectionHolderGenerator

Bases: object

Sets up connection holders for reports to use.

__call__(application_graph)

Parameters:application_graph (ApplicationGraph) – app graph Returns:the set of connection holders for after DSG generation Return type:dict(tuple(ProjectionApplicationEdge, SynapseInformation), ConnectionHolder)

spynnaker.pyNN.extra_algorithms.spynnaker_data_specification_writer(placements, hostname, machine, app_id, data_n_timesteps)

Executes data specification generation for sPyNNaker

Parameters:

• placements (Placements) – placements of machine graph to cores
• hostname (str) – SpiNNaker machine name
• machine (Machine) – the python representation of the SpiNNaker machine
• data_n_timesteps (int) – The number of timesteps for which data space will been reserved

Returns:

DSG targets (map of placement tuple and filename)

Return type:

tuple(DataSpecificationTargets, dict(tuple(int,int,int), int))

Raises:

ConfigurationException – If the DSG asks to use more SDRAM than is available.

spynnaker.pyNN.extra_algorithms.spynnaker_machine_bitField_pair_router_compressor(routing_tables, transceiver, machine, app_id, machine_graph, placements, executable_finder, routing_infos, executable_targets, read_expander_iobuf)

entrance for routing table compression with bit field

Parameters:

• routing_tables (MulticastRoutingTables) – routing tables
• transceiver (Transceiver) – spinnman instance
• machine (Machine) – spinnMachine instance
• app_id (int) – app id of the application
• machine_graph (MachineGraph) – machine graph
• placements (Placements) – placements on machine
• executable_finder (ExecutableFinder) – where are binaries are located
• routing_infos (RoutingInfo) –
• read_algorithm_iobuf (bool) – flag saying if read iobuf
• read_expander_iobuf (bool) – reads the synaptic expander iobuf.

spynnaker.pyNN.extra_algorithms.spynnaker_machine_bitfield_ordered_covering_compressor(routing_tables, transceiver, machine, app_id, machine_graph, placements, executable_finder, routing_infos, executable_targets, read_expander_iobuf)

entrance for routing table compression with bit field

Parameters:

• routing_tables (MulticastRoutingTables) – routing tables
• transceiver (Transceiver) – spinnman instance
• machine (Machine) – spinnMachine instance
• app_id (int) – app id of the application
• machine_graph (MachineGraph) – machine graph
• placements (Placements) – placements on machine
• executable_finder (ExecutableFinder) – where are binaries are located
• routing_infos (RoutingInfo) –
• read_algorithm_iobuf (bool) – flag saying if read iobuf
• read_expander_iobuf (bool) – reads the synaptic expander iobuf.

spynnaker.pyNN.extra_algorithms.spynnaker_neuron_graph_network_specification_report(application_graph)

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

Parameters:

• report_folder (str) – the report folder to put figure into
• application_graph (ApplicationGraph) – the app graph

class spynnaker.pyNN.extra_algorithms.SpYNNakerSynapticMatrixReport

Bases: object

Generate the synaptic matrices for reporting purposes.

__call__(connection_holder, dsg_targets)

Convert synaptic matrix for every application edge.

Parameters:

• connection_holder (dict(tuple(ProjectionApplicationEdge, SynapseInformation), ConnectionHolder)) – where the synaptic matrices are stored (possibly after retrieval from the machine)
• dsg_targets – used to check if connection holders are populated

spynnaker.pyNN.extra_algorithms.synapse_expander(placements, transceiver, executable_finder, extract_iobuf)

Run the synapse expander.

Note

Needs to be done after data has been loaded.

Parameters:

• placements (Placements) – Where all vertices are on the machine.
• transceiver (Transceiver) – How to talk to the machine.
• executable_finder (ExecutableFinder) – How to find the synapse expander binaries.
• extract_iobuf (bool) – flag for extracting iobuf