spynnaker.pyNN.models.utility_models.delays package

Submodules

spynnaker.pyNN.models.utility_models.delays.delay_block module

class spynnaker.pyNN.models.utility_models.delays.delay_block.DelayBlock(n_delay_stages, delay_per_stage, vertex_slice)

Bases: object

A block of delays for a vertex.

add_delay(source_id, stage)

delay_block

spynnaker.pyNN.models.utility_models.delays.delay_extension_machine_vertex module

class spynnaker.pyNN.models.utility_models.delays.delay_extension_machine_vertex.DelayExtensionMachineVertex(resources_required, label, constraints=None)

Bases: pacman.model.graphs.machine.machine_vertex.MachineVertex, spinn_front_end_common.interface.provenance.provides_provenance_data_from_machine_impl.ProvidesProvenanceDataFromMachineImpl

class EXTRA_PROVENANCE_DATA_ENTRIES

Bases: enum.Enum

An enumeration.

N_BUFFER_OVERFLOWS = 4

N_DELAYS = 5

N_PACKETS_ADDED = 2

N_PACKETS_PROCESSED = 1

N_PACKETS_RECEIVED = 0

N_PACKETS_SENT = 3

N_EXTRA_PROVENANCE_DATA_ENTRIES = 6

get_provenance_data_from_machine(transceiver, placement)

Retrieve the provenance data.

Parameters:

• transceiver (Transceiver) – How to talk to the machine
• placement (Placement) – Which vertex are we retrieving from, and where was it

Return type:

list(ProvenanceDataItem)

resources_required

The resources required by the vertex

Return type:ResourceContainer

spynnaker.pyNN.models.utility_models.delays.delay_extension_vertex module

class spynnaker.pyNN.models.utility_models.delays.delay_extension_vertex.DelayExtensionVertex(n_neurons, delay_per_stage, source_vertex, machine_time_step, timescale_factor, constraints=None, label='DelayExtension')

Bases: pacman.model.graphs.application.application_vertex.ApplicationVertex, spinn_front_end_common.abstract_models.abstract_generates_data_specification.AbstractGeneratesDataSpecification, spinn_front_end_common.abstract_models.abstract_has_associated_binary.AbstractHasAssociatedBinary, spinn_front_end_common.abstract_models.abstract_provides_outgoing_partition_constraints.AbstractProvidesOutgoingPartitionConstraints, spinn_front_end_common.abstract_models.abstract_provides_n_keys_for_partition.AbstractProvidesNKeysForPartition

Provide delays to incoming spikes in multiples of the maximum delays of a neuron (typically 16 or 32)

Parameters:

• n_neurons – the number of neurons
• delay_per_stage – the delay per stage
• source_vertex – where messages are coming from
• machine_time_step – how long is the machine time step
• timescale_factor – what slowdown factor has been applied
• constraints – the vertex constraints
• label – the vertex label

add_delays(vertex_slice, source_ids, stages)

Add delayed connections for a given vertex slice

add_generator_data(max_row_n_synapses, max_delayed_row_n_synapses, pre_slices, pre_slice_index, post_slices, post_slice_index, pre_vertex_slice, post_vertex_slice, synapse_information, max_stage, machine_time_step)

Add delays for a connection to be generated

create_machine_vertex(vertex_slice, resources_required, label=None, constraints=None)

Create a machine vertex from this application vertex

Parameters:

• vertex_slice (Slice) – The slice of atoms that the machine vertex will cover
• resources_required (ResourceContainer) – the resources used by the machine vertex
• label (str or None) – human readable label for the machine vertex
• constraints (iterable(AbstractConstraint)) – Constraints to be passed on to the machine vertex

gen_on_machine(vertex_slice)

Determine if the given slice needs to be generated on the machine

generate_data_specification(spec, placement, machine_graph, graph_mapper, routing_infos)

Generate a data specification.

Parameters:

• spec (DataSpecificationGenerator) – The data specification to write to
• placement (Placement) – the placement the vertex is located at

Return type:

None

get_binary_file_name()

Get the binary name to be run for this vertex.

Return type:str

get_binary_start_type()

Get the start type of the binary to be run.

Return type:ExecutableType

get_cpu_usage_for_atoms(vertex_slice)

get_dtcm_usage_for_atoms(vertex_slice)

get_n_keys_for_partition(partition, graph_mapper)

Get the number of keys required by the given partition of edges.

Parameters:

• partition (AbstractOutgoingEdgePartition) – An partition that comes out of this vertex
• graph_mapper (GraphMapper) – A mapper between the graphs

Returns:

A list of constraints

Return type:

list(AbstractConstraint)

get_outgoing_partition_constraints(partition)

Get constraints to be added to the given edge that comes out of this vertex.

Parameters:partition (AbstractOutgoingEdgePartition) – An edge that comes out of this vertex Returns:A list of constraints Return type:list(AbstractConstraint)

get_resources_used_by_atoms(vertex_slice, graph)

Get the separate resource requirements for a range of atoms

Parameters:vertex_slice (Slice) – the low value of atoms to calculate resources from Returns:a Resource container that contains a CPUCyclesPerTickResource, DTCMResource and SDRAMResource Return type:ResourceContainer Raises:None – this method does not raise any known exception

get_sdram_usage_for_atoms(out_edges)

n_atoms

The number of atoms in the vertex

Return type:int

n_delay_stages

The maximum number of delay stages required by any connection out of this delay extension vertex

source_vertex

write_delay_parameters(spec, vertex_slice, key, incoming_key, incoming_mask, total_n_vertices, machine_time_step, time_scale_factor, n_outgoing_edges)

Generate Delay Parameter data

write_setup_info(spec, machine_time_step, time_scale_factor)

spynnaker.pyNN.models.utility_models.delays.delay_generator_data module

class spynnaker.pyNN.models.utility_models.delays.delay_generator_data.DelayGeneratorData(max_row_n_synapses, max_delayed_row_n_synapses, pre_slices, pre_slice_index, post_slices, post_slice_index, pre_vertex_slice, post_vertex_slice, synapse_information, max_stage, machine_time_step)

Bases: object

Data for each connection of the delay generator

BASE_SIZE = 32

gen_data

Get the data to be written for this connection

Return type:numpy array of uint32

size

The size of the generated data in bytes

Return type:int

Module contents

class spynnaker.pyNN.models.utility_models.delays.DelayBlock(n_delay_stages, delay_per_stage, vertex_slice)

Bases: object

A block of delays for a vertex.

add_delay(source_id, stage)

delay_block

class spynnaker.pyNN.models.utility_models.delays.DelayExtensionMachineVertex(resources_required, label, constraints=None)

Bases: pacman.model.graphs.machine.machine_vertex.MachineVertex, spinn_front_end_common.interface.provenance.provides_provenance_data_from_machine_impl.ProvidesProvenanceDataFromMachineImpl

class EXTRA_PROVENANCE_DATA_ENTRIES

Bases: enum.Enum

An enumeration.

N_BUFFER_OVERFLOWS = 4

N_DELAYS = 5

N_PACKETS_ADDED = 2

N_PACKETS_PROCESSED = 1

N_PACKETS_RECEIVED = 0

N_PACKETS_SENT = 3

N_EXTRA_PROVENANCE_DATA_ENTRIES = 6

get_provenance_data_from_machine(transceiver, placement)

Retrieve the provenance data.

Parameters:

• transceiver (Transceiver) – How to talk to the machine
• placement (Placement) – Which vertex are we retrieving from, and where was it

Return type:

list(ProvenanceDataItem)

resources_required

The resources required by the vertex

Return type:ResourceContainer

class spynnaker.pyNN.models.utility_models.delays.DelayExtensionVertex(n_neurons, delay_per_stage, source_vertex, machine_time_step, timescale_factor, constraints=None, label='DelayExtension')

Bases: pacman.model.graphs.application.application_vertex.ApplicationVertex, spinn_front_end_common.abstract_models.abstract_generates_data_specification.AbstractGeneratesDataSpecification, spinn_front_end_common.abstract_models.abstract_has_associated_binary.AbstractHasAssociatedBinary, spinn_front_end_common.abstract_models.abstract_provides_outgoing_partition_constraints.AbstractProvidesOutgoingPartitionConstraints, spinn_front_end_common.abstract_models.abstract_provides_n_keys_for_partition.AbstractProvidesNKeysForPartition

Provide delays to incoming spikes in multiples of the maximum delays of a neuron (typically 16 or 32)

Parameters:

• n_neurons – the number of neurons
• delay_per_stage – the delay per stage
• source_vertex – where messages are coming from
• machine_time_step – how long is the machine time step
• timescale_factor – what slowdown factor has been applied
• constraints – the vertex constraints
• label – the vertex label

add_delays(vertex_slice, source_ids, stages)

Add delayed connections for a given vertex slice

add_generator_data(max_row_n_synapses, max_delayed_row_n_synapses, pre_slices, pre_slice_index, post_slices, post_slice_index, pre_vertex_slice, post_vertex_slice, synapse_information, max_stage, machine_time_step)

Add delays for a connection to be generated

create_machine_vertex(vertex_slice, resources_required, label=None, constraints=None)

Create a machine vertex from this application vertex

Parameters:

• vertex_slice (Slice) – The slice of atoms that the machine vertex will cover
• resources_required (ResourceContainer) – the resources used by the machine vertex
• label (str or None) – human readable label for the machine vertex
• constraints (iterable(AbstractConstraint)) – Constraints to be passed on to the machine vertex

gen_on_machine(vertex_slice)

Determine if the given slice needs to be generated on the machine

generate_data_specification(spec, placement, machine_graph, graph_mapper, routing_infos)

Generate a data specification.

Parameters:

• spec (DataSpecificationGenerator) – The data specification to write to
• placement (Placement) – the placement the vertex is located at

Return type:

None

get_binary_file_name()

Get the binary name to be run for this vertex.

Return type:str

get_binary_start_type()

Get the start type of the binary to be run.

Return type:ExecutableType

get_cpu_usage_for_atoms(vertex_slice)

get_dtcm_usage_for_atoms(vertex_slice)

get_n_keys_for_partition(partition, graph_mapper)

Get the number of keys required by the given partition of edges.

Parameters:

• partition (AbstractOutgoingEdgePartition) – An partition that comes out of this vertex
• graph_mapper (GraphMapper) – A mapper between the graphs

Returns:

A list of constraints

Return type:

list(AbstractConstraint)

get_outgoing_partition_constraints(partition)

Get constraints to be added to the given edge that comes out of this vertex.

Parameters:partition (AbstractOutgoingEdgePartition) – An edge that comes out of this vertex Returns:A list of constraints Return type:list(AbstractConstraint)

get_resources_used_by_atoms(vertex_slice, graph)

Get the separate resource requirements for a range of atoms

Parameters:vertex_slice (Slice) – the low value of atoms to calculate resources from Returns:a Resource container that contains a CPUCyclesPerTickResource, DTCMResource and SDRAMResource Return type:ResourceContainer Raises:None – this method does not raise any known exception

get_sdram_usage_for_atoms(out_edges)

n_atoms

The number of atoms in the vertex

Return type:int

n_delay_stages

The maximum number of delay stages required by any connection out of this delay extension vertex

source_vertex

write_delay_parameters(spec, vertex_slice, key, incoming_key, incoming_mask, total_n_vertices, machine_time_step, time_scale_factor, n_outgoing_edges)

Generate Delay Parameter data

write_setup_info(spec, machine_time_step, time_scale_factor)