Source code for spynnaker.pyNN.models.neuron.structural_plasticity.synaptogenesis.partner_selection.last_neuron_selection
# Copyright (c) 2017 The University of Manchester
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import Iterable
from spinn_utilities.overrides import overrides
from spinn_front_end_common.interface.ds import DataSpecificationBase
from .abstract_partner_selection import AbstractPartnerSelection
class LastNeuronSelection(AbstractPartnerSelection):
"""
Partner selection that picks a random source neuron from the neurons
that spiked in the last timestep.
"""
__slots__ = ("__spike_buffer_size", )
def __init__(self, spike_buffer_size=64):
"""
:param spike_buffer_size: The size of the buffer for holding spikes
"""
self.__spike_buffer_size = spike_buffer_size
@property
@overrides(AbstractPartnerSelection.vertex_executable_suffix)
def vertex_executable_suffix(self) -> str:
return "_last_neuron"
[docs]
@overrides(AbstractPartnerSelection.get_parameters_sdram_usage_in_bytes)
def get_parameters_sdram_usage_in_bytes(self) -> int:
return 4
[docs]
@overrides(AbstractPartnerSelection.write_parameters)
def write_parameters(self, spec: DataSpecificationBase):
spec.write_value(self.__spike_buffer_size)
[docs]
@overrides(AbstractPartnerSelection.get_parameter_names)
def get_parameter_names(self) -> Iterable[str]:
yield "spike_buffer_size"