Source code for spynnaker.pyNN.models.neuron.structural_plasticity.synaptogenesis.elimination.abstract_elimination
# 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 spinn_utilities.abstract_base import (
AbstractBase, abstractmethod, abstractproperty)
class AbstractElimination(object, metaclass=AbstractBase):
"""
A synaptic connection elimination rule.
"""
__slots__ = ()
@abstractproperty
def vertex_executable_suffix(self):
"""
The suffix to be appended to the vertex executable for this rule.
:rtype: str
"""
[docs]
@abstractmethod
def get_parameters_sdram_usage_in_bytes(self):
"""
Get the amount of SDRAM used by the parameters of this rule.
:rtype: int
"""
[docs]
@abstractmethod
def write_parameters(self, spec, weight_scale):
"""
Write the parameters of the rule to the spec.
:param ~data_specification.DataSpecificationGenerator spec:
:param float weight_scale:
"""
[docs]
@abstractmethod
def get_parameter_names(self):
"""
Return the names of the parameters supported by this rule.
:rtype: iterable(str)
"""