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

# Copyright (c) 2017-2019 The University of Manchester
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.

from enum import Enum
import numpy
from spinn_utilities.abstract_base import AbstractBase, abstractproperty


class MatrixGeneratorID(Enum):
    STATIC_MATRIX = 0
    STDP_MATRIX = 1


[docs]class AbstractGenerateOnMachine(object, metaclass=AbstractBase): """ A synapse dynamics that can be generated on the machine. """ __slots__ = []
[docs] def generate_on_machine(self): """ Determines if this instance should be generated on the machine. Default implementation returns True :rtype: bool """ return True
@abstractproperty def gen_matrix_id(self): """ The ID of the on-machine matrix generator. :rtype: int """ @property def gen_matrix_params(self): """ Any parameters required by the matrix generator. :rtype: ~numpy.ndarray(uint32) """ return numpy.zeros(0, dtype="uint32") @property def gen_matrix_params_size_in_bytes(self): """ The size of the parameters of the matrix generator in bytes. :rtype: int """ return 0