spynnaker.pyNN.models.neuron.local_only package

Module contents

class spynnaker.pyNN.models.neuron.local_only.AbstractLocalOnly

Bases: AbstractSynapseDynamics

Processes synapses locally without the need for SDRAM.

property absolute_max_atoms_per_core

The absolute maximum number of atoms per core supported by this synapse dynamics object.

Return type:

int

abstract get_parameters_usage_in_bytes(n_atoms, incoming_projections)[source]

Get the size of the parameters in bytes.

Parameters:

  • n_atoms (int) – The number of atoms in the vertex

  • incoming_projections (list(Projection)) – The projections to get the size of

Return type:

int

property is_combined_core_capable

Whether the synapse dynamics can run on a core combined with the neuron, or if a separate core is needed.

Return type:

bool

abstract write_parameters(spec, region, machine_vertex, weight_scales)[source]

Write the parameters to the spec.

Parameters:

  • spec (DataSpecificationGenerator) – The specification to write to

  • region (int) – region ID to write to

  • machine_vertex (MachineVertex) – The machine vertex being targeted

  • weight_scales (list(float)) – Scale factors to apply to the weights

class spynnaker.pyNN.models.neuron.local_only.LocalOnlyConvolution(delay=None)

Bases: AbstractLocalOnly, AbstractSupportsSignedWeights

A convolution synapse dynamics that can process spikes with only DTCM.

Parameters:

delay (float) – The delay used in the connection; by default 1 time step

property changes_during_run

Whether the synapses change during a run.

Return type:

bool

property delay

The delay of connections.

Return type:

float

get_maximum_positive_weight(incoming_projection)[source]

Get the maximum likely positive weight.

Note

This must be a value >= 0.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

float

get_mean_negative_weight(incoming_projection)[source]

Get the mean of the negative weights.

Note

This must be a value <= 0.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

float

get_mean_positive_weight(incoming_projection)[source]

Get the mean of the positive weights.

Note

This must be a value >= 0.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

float

get_minimum_negative_weight(incoming_projection)[source]

Get the minimum likely negative weight.

Note

This must be a value <= 0.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

int

get_negative_synapse_index(incoming_projection)[source]

Get the synapse type that negative weights will arrive at.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

int

get_parameters_usage_in_bytes(n_atoms, incoming_projections)[source]

Get the size of the parameters in bytes.

Parameters:

  • n_atoms (int) – The number of atoms in the vertex

  • incoming_projections (list(Projection)) – The projections to get the size of

Return type:

int

get_positive_synapse_index(incoming_projection)[source]

Get the synapse type that positive weights will arrive at.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

int

get_variance_negative_weight(incoming_projection)[source]

Get the variance of the negative weights.

Note

This must be a value <= 0.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

float

get_variance_positive_weight(incoming_projection)[source]

Get the variance of the positive weights.

Note

This must be a value >= 0.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

float

get_vertex_executable_suffix()[source]

Get the executable suffix for a vertex for this dynamics.

Return type:

str

merge(synapse_dynamics)[source]

Merge with the given synapse_dynamics and return the result, or error if merge is not possible.

Parameters:

synapse_dynamics (AbstractSynapseDynamics) –

Return type:

AbstractSynapseDynamics

property weight

The weight of connections.

Return type:

float

write_parameters(spec, region, machine_vertex, weight_scales)[source]

Write the parameters to the spec.

Parameters:

  • spec (DataSpecificationGenerator) – The specification to write to

  • region (int) – region ID to write to

  • machine_vertex (MachineVertex) – The machine vertex being targeted

  • weight_scales (list(float)) – Scale factors to apply to the weights

class spynnaker.pyNN.models.neuron.local_only.LocalOnlyPoolDense(delay=None)

Bases: AbstractLocalOnly, AbstractSupportsSignedWeights

A convolution synapse dynamics that can process spikes with only DTCM.

Parameters:

delay (float) – The delay used in the connection; by default 1 time step

property changes_during_run

Whether the synapses change during a run.

Return type:

bool

property delay

The delay of connections.

Return type:

float

get_maximum_positive_weight(incoming_projection)[source]

Get the maximum likely positive weight.

Note

This must be a value >= 0.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

float

get_mean_negative_weight(incoming_projection)[source]

Get the mean of the negative weights.

Note

This must be a value <= 0.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

float

get_mean_positive_weight(incoming_projection)[source]

Get the mean of the positive weights.

Note

This must be a value >= 0.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

float

get_minimum_negative_weight(incoming_projection)[source]

Get the minimum likely negative weight.

Note

This must be a value <= 0.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

int

get_negative_synapse_index(incoming_projection)[source]

Get the synapse type that negative weights will arrive at.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

int

get_parameters_usage_in_bytes(n_atoms, incoming_projections)[source]

Get the size of the parameters in bytes.

Parameters:

  • n_atoms (int) – The number of atoms in the vertex

  • incoming_projections (list(Projection)) – The projections to get the size of

Return type:

int

get_positive_synapse_index(incoming_projection)[source]

Get the synapse type that positive weights will arrive at.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

int

get_variance_negative_weight(incoming_projection)[source]

Get the variance of the negative weights.

Note

This must be a value <= 0.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

float

get_variance_positive_weight(incoming_projection)[source]

Get the variance of the positive weights.

Note

This must be a value >= 0.

Parameters:

incoming_projection (Projection) – The projection targeted

Return type:

float

get_vertex_executable_suffix()[source]

Get the executable suffix for a vertex for this dynamics.

Return type:

str

merge(synapse_dynamics)[source]

Merge with the given synapse_dynamics and return the result, or error if merge is not possible.

Parameters:

synapse_dynamics (AbstractSynapseDynamics) –

Return type:

AbstractSynapseDynamics

property weight

The weight of connections.

Return type:

float

write_parameters(spec, region, machine_vertex, weight_scales)[source]

Write the parameters to the spec.

Parameters:

  • spec (DataSpecificationGenerator) – The specification to write to

  • region (int) – region ID to write to

  • machine_vertex (MachineVertex) – The machine vertex being targeted

  • weight_scales (list(float)) – Scale factors to apply to the weights