Source code for spynnaker.pyNN.extra_algorithms.spynnaker_synaptic_matrix_report

# 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/>.

import logging
import os
import numpy
from spinn_utilities.log import FormatAdapter
from spinn_utilities.progress_bar import ProgressBar
from spynnaker.pyNN.exceptions import SynapticConfigurationException
from spynnaker.pyNN.models.neural_projections import ProjectionApplicationEdge

logger = FormatAdapter(logging.getLogger(__name__))
_DIRNAME = "synaptic_matrix_reports"
_TMPL_FILENAME = "synaptic_matrix_for_application_edge_{}"


[docs]class SpYNNakerSynapticMatrixReport(object): """ Generate the synaptic matrices for reporting purposes. """
[docs] def __call__(self, report_folder, connection_holder, dsg_targets): """ Convert synaptic matrix for every application edge. :param str report_folder: where to write the report :param connection_holder: where the synaptic matrices are stored (possibly after retrieval from the machine) :type connection_holder: dict(tuple(ProjectionApplicationEdge, SynapseInformation), ConnectionHolder) :param dsg_targets: used to check if connection holders are populated """ # Update the print options to display everything print_opts = numpy.get_printoptions() numpy.set_printoptions(threshold=numpy.nan) if dsg_targets is None: raise SynapticConfigurationException( "dsg_targets should not be none, used as a check for " "connection holder data to be generated") # generate folder for synaptic reports top_level_folder = os.path.join(report_folder, _DIRNAME) if not os.path.exists(top_level_folder): os.mkdir(top_level_folder) # create progress bar progress = ProgressBar(connection_holder.keys(), "Generating synaptic matrix reports") # for each application edge, write matrix in new file for edge, _ in progress.over(connection_holder.keys()): # only write matrix's for edges which have matrix's if isinstance(edge, ProjectionApplicationEdge): # figure new file name file_name = os.path.join( top_level_folder, _TMPL_FILENAME.format(edge.label)) self._write_file(file_name, connection_holder, edge) # Reset the print options numpy.set_printoptions(**print_opts)
def _write_file(self, file_name, connection_holder, edge): # open writer try: with open(file_name, "w") as f: # write all data for all synapse_information's in same file for info in edge.synapse_information: f.write("{}".format(connection_holder[edge, info])) except IOError: logger.exception("Generate_placement_reports: Can't open file" " {} for writing.".format(file_name))