Source code for spynnaker.pyNN.models.neuron.synapse_dynamics.abstract_plastic_synapse_dynamics

# Copyright (c) 2015 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 .abstract_sdram_synapse_dynamics import AbstractSDRAMSynapseDynamics

class AbstractPlasticSynapseDynamics(
        AbstractSDRAMSynapseDynamics, metaclass=AbstractBase):
    Synapses which change over time.
    # pylint: disable=too-many-arguments

    __slots__ = ()

[docs] @abstractmethod def get_n_words_for_plastic_connections(self, n_connections): """ Get the number of 32-bit words for `n_connections` in a single row. :param int n_connections: :rtype: int """
[docs] @abstractmethod def get_plastic_synaptic_data( self, connections, connection_row_indices, n_rows, post_vertex_slice, n_synapse_types, max_n_synapses, max_atoms_per_core): """ Get the fixed-plastic data, and plastic-plastic data for each row, and lengths for the fixed_plastic and plastic-plastic parts of each row. Data is returned as an array made up of an array of 32-bit words for each row, for each of the fixed-plastic and plastic-plastic data regions. The row into which connection should go is given by `connection_row_indices`, and the total number of rows is given by `n_rows`. Lengths are returned as an array made up of an integer for each row, for each of the fixed-plastic and plastic-plastic regions. :param ~numpy.ndarray connections: The connections to get data for :param ~numpy.ndarray connection_row_indices: The row into which each connection should go :param int n_rows: The total number of rows :param ~pacman.model.graphs.common.Slice post_vertex_slice: The slice of the post vertex to get the connections for :param int n_synapse_types: The number of synapse types :param int max_n_synapses: The maximum number of synapses to generate :param int max_atoms_per_core: The maximum number of atoms on a core :return: (fp_data, pp_data, fp_size, pp_size) :rtype: tuple(~numpy.ndarray, ~numpy.ndarray, ~numpy.ndarray, ~numpy.ndarray) """
[docs] @abstractmethod def get_n_plastic_plastic_words_per_row(self, pp_size): """ Get the number of plastic plastic words to be read from each row. :param ~numpy.ndarray pp_size: """
[docs] @abstractmethod def get_n_fixed_plastic_words_per_row(self, fp_size): """ Get the number of fixed plastic words to be read from each row. :param ~numpy.ndarray fp_size: """
[docs] @abstractmethod def get_n_synapses_in_rows(self, pp_size, fp_size): """ Get the number of synapses in each of the rows with plastic sizes `pp_size` and `fp_size`. :param ~numpy.ndarray pp_size: :param ~numpy.ndarray fp_size: """
[docs] @abstractmethod def read_plastic_synaptic_data( self, post_vertex_slice, n_synapse_types, pp_size, pp_data, fp_size, fp_data, max_atoms_per_core): """ Read the connections indicated in the connection indices from the data in `pp_data` and `fp_data`. :param ~pacman.model.graphs.common.Slice post_vertex_slice: :param int n_synapse_types: :param ~numpy.ndarray pp_size: 1D :param ~numpy.ndarray pp_data: 2D :param ~numpy.ndarray fp_size: 1D :param ~numpy.ndarray fp_data: 2D :param int max_atoms_per_core: :return: array with columns ``source``, ``target``, ``weight``, ``delay`` :rtype: ~numpy.ndarray """