Source code for spynnaker.pyNN.models.abstract_models.abstract_neuron_expandable

# 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
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from spinn_utilities.abstract_base import (
    AbstractBase, abstractmethod, abstractproperty)
from spinn_utilities.require_subclass import require_subclass
from pacman.model.graphs.machine.machine_vertex import MachineVertex

NEURON_EXPANDER_APLX = "neuron_expander.aplx"


@require_subclass(MachineVertex)
class AbstractNeuronExpandable(object, metaclass=AbstractBase):
    """
    Indicates a class (a
    :py:class:`~pacman.model.graphs.machine.MachineVertex`)
    that has may need to run the neuron expander APLX.
    """

    __slots__ = ()

[docs] @abstractmethod def gen_neurons_on_machine(self): """ True if the neurons of a the slice of this vertex should be generated on the machine. .. note:: The typical implementation for this method will be to ask the neuron data :rtype: bool """
@abstractproperty def neuron_generator_region(self): """ The region containing the parameters of neuron expansion. :rtype: int """
[docs] @abstractmethod def read_generated_initial_values(self, placement): """ Fill in any requested initial values. :param ~pacman.model.placements.Placement placement: Where the data is on the machine """