Source code for spynnaker.pyNN.models.abstract_models.abstract_synapse_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
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# See the License for the specific language governing permissions and
# limitations under the License.

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

SYNAPSE_EXPANDER_APLX = "synapse_expander.aplx"

class AbstractSynapseExpandable(object, metaclass=AbstractBase):
    Indicates a class (a
    that has may need to run the synapse expander APLX.

    .. note::
        This is *not* implemented by the
        which needs a different expander APLX

    __slots__ = ()

[docs] @abstractmethod def gen_on_machine(self): """ True if the synapses 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 app_vertex's synapse_manager :rtype: bool """
@abstractproperty def connection_generator_region(self): """ The region ID containing the parameters of synaptic expansion. :rtype: int """
[docs] @abstractmethod def read_generated_connection_holders(self, placement): """ Fill in the connection holders. :param ~pacman.model.placements.Placement placement: Where the data is on the machine """
@abstractproperty def max_gen_data(self): """ The maximum amount of synaptic data to be generated. This is used to calculate the timeout of the execution. :rtype: int """ @abstractproperty def bit_field_size(self): """ The amount of bit field data to be generated. This is used to calculate the timeout of the execution. :rtype: int """