Source code for spinnaker_graph_front_end.spinnaker

# 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
#
#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import logging
from spinn_utilities.config_holder import get_config_str
from spinn_utilities.log import FormatAdapter
from spinn_front_end_common.data import FecDataView
from spinn_front_end_common.interface.abstract_spinnaker_base import (
    AbstractSpinnakerBase)
from spinn_front_end_common.interface.provenance import GlobalProvenance
from spinnaker_graph_front_end.config_setup import setup_configs
from ._version import __version__ as version

logger = FormatAdapter(logging.getLogger(__name__))


def _is_allocated_machine():
    return (get_config_str("Machine", "spalloc_server") or
            get_config_str("Machine", "remote_spinnaker_url"))


[docs]class SpiNNaker(AbstractSpinnakerBase): """ The implementation of the SpiNNaker simulation interface. .. note:: You should not normally instantiate this directly from user code. Call :py:func:`~spinnaker_graph_front_end.setup` instead. """ def __init__( self, n_chips_required=None, n_boards_required=None, time_scale_factor=None, machine_time_step=None): """ :param int n_chips_required: How many chips are required. *Prefer* `n_boards_required` *if possible.* :param int n_boards_required: How many boards are required. Unnecessary with a local board. :param int time_scale_factor: The time slow-down factor :param int machine_time_step: The size of the machine time step, in microseconds """ # DSG algorithm store for user defined algorithms # At import time change the default FailedState setup_configs() super().__init__() with GlobalProvenance() as db: db.insert_version("SpiNNakerGraphFrontEnd", version) self._data_writer.set_n_required(n_boards_required, n_chips_required) self._data_writer.set_up_timings( machine_time_step, time_scale_factor, 1) def __repr__(self): if FecDataView.has_ipaddress(): return (f"SpiNNaker Graph Front End object " f"for machine {FecDataView.get_ipaddress()}") else: return "SpiNNaker Graph Front End object no machine set"