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

# Copyright (c) 2016 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
from spinn_utilities.require_subclass import require_subclass
from pacman.exceptions import PacmanConfigurationException
from pacman.model.graphs.application import ApplicationVertex

class AbstractAcceptsIncomingSynapses(object, metaclass=AbstractBase):
    Indicates an application vertex that can be a post-vertex in a PyNN

    .. note::
        See :py:meth:`verify_splitter`
    __slots__ = ()

[docs] @abstractmethod def get_synapse_id_by_target(self, target): """ Get the ID of a synapse given the name. :param str target: The name of the synapse :rtype: int """
[docs] @abstractmethod def set_synapse_dynamics(self, synapse_dynamics): """ Set the synapse dynamics of this vertex. :param AbstractSynapseDynamics synapse_dynamics: """
[docs] @abstractmethod def get_connections_from_machine(self, app_edge, synapse_info): """ Get the connections from the machine post-run. :param ProjectionApplicationEdge app_edge: The edge for which the data is being read :param SynapseInformation synapse_info: The specific projection within the edge :rtype: ~numpy.ndarray """
[docs] @abstractmethod def clear_connection_cache(self): """ Clear the connection data stored in the vertex so far. """
[docs] def verify_splitter(self, splitter): """ Check that the splitter implements the API(s) expected by the SynapticMatrices Any Vertex that implements this API should override `ApplicationVertex.splitter` method to also call this function. :param AbstractSpynnakerSplitterDelay splitter: the splitter :raises PacmanConfigurationException: if the splitter is not an instance of AbstractSpynnakerSplitterDelay """ # Delayed import to avoid cicular dependency from spynnaker.pyNN.extra_algorithms.splitter_components import ( AbstractSpynnakerSplitterDelay) if not isinstance(splitter, AbstractSpynnakerSplitterDelay): raise PacmanConfigurationException( "The splitter needs to be an instance of " "----------------AbstractSpynnakerSplitterDelay")