def __init__(self,
n_neurons,
spike_times=default_parameters['spike_times'],
port=none_pynn_default_parameters['port'],
tag=none_pynn_default_parameters['tag'],
ip_address=none_pynn_default_parameters['ip_address'],
board_address=none_pynn_default_parameters['board_address'],
max_on_chip_memory_usage_for_spikes_in_bytes=DEFAULT1,
space_before_notification=none_pynn_default_parameters[
'space_before_notification'],
constraints=none_pynn_default_parameters['constraints'],
label=none_pynn_default_parameters['label'],
spike_recorder_buffer_size=none_pynn_default_parameters[
'spike_recorder_buffer_size'],
buffer_size_before_receive=none_pynn_default_parameters[
'buffer_size_before_receive']):
config = globals_variables.get_simulator().config
self._ip_address = ip_address
if ip_address is None:
self._ip_address = config.get("Buffers", "receive_buffer_host")
self._port = port
if port is None:
self._port = helpful_functions.read_config_int(
config, "Buffers", "receive_buffer_port")
if spike_times is None:
spike_times = []
ReverseIpTagMultiCastSource.__init__(
self,
n_keys=n_neurons,
label=label,
constraints=constraints,
max_atoms_per_core=(
SpikeSourceArray._model_based_max_atoms_per_core),
board_address=board_address,
receive_port=None,
receive_tag=None,
virtual_key=None,
prefix=None,
prefix_type=None,
check_keys=False,
send_buffer_times=spike_times,
send_buffer_partition_id=constants.SPIKE_PARTITION_ID,
send_buffer_max_space=max_on_chip_memory_usage_for_spikes_in_bytes,
send_buffer_space_before_notify=space_before_notification,
buffer_notification_ip_address=self._ip_address,
buffer_notification_port=self._port,
buffer_notification_tag=tag)
AbstractSpikeRecordable.__init__(self)
AbstractProvidesOutgoingPartitionConstraints.__init__(self)
SimplePopulationSettable.__init__(self)
AbstractChangableAfterRun.__init__(self)
ProvidesKeyToAtomMappingImpl.__init__(self)
# handle recording
self._spike_recorder = EIEIOSpikeRecorder()
self._spike_recorder_buffer_size = spike_recorder_buffer_size
self._buffer_size_before_receive = buffer_size_before_receive
# Keep track of any previously generated buffers
self._send_buffers = dict()
self._spike_recording_region_size = None
self._machine_vertices = list()
# used for reset and rerun
self._requires_mapping = True
self._last_runtime_position = 0
self._max_on_chip_memory_usage_for_spikes = \
max_on_chip_memory_usage_for_spikes_in_bytes
self._space_before_notification = space_before_notification
if self._max_on_chip_memory_usage_for_spikes is None:
self._max_on_chip_memory_usage_for_spikes = \
front_end_common_constants.MAX_SIZE_OF_BUFFERED_REGION_ON_CHIP
# check the values do not conflict with chip memory limit
if self._max_on_chip_memory_usage_for_spikes < 0:
raise exceptions.ConfigurationException(
"The memory usage on chip is either beyond what is supportable"
" on the spinnaker board being supported or you have requested"
" a negative value for a memory usage. Please correct and"
" try again")
if (self._max_on_chip_memory_usage_for_spikes <
self._space_before_notification):
self._space_before_notification =\
self._max_on_chip_memory_usage_for_spikes
def __init__(
self, n_neurons, machine_time_step, timescale_factor,
spike_times=None, port=None, tag=None, ip_address=None,
board_address=None, max_on_chip_memory_usage_for_spikes_in_bytes=(
constants.SPIKE_BUFFER_SIZE_BUFFERING_IN),
space_before_notification=640,
constraints=None, label="SpikeSourceArray",
spike_recorder_buffer_size=(
constants.EIEIO_SPIKE_BUFFER_SIZE_BUFFERING_OUT),
buffer_size_before_receive=(
constants.EIEIO_BUFFER_SIZE_BEFORE_RECEIVE)):
self._ip_address = ip_address
if ip_address is None:
self._ip_address = config.get("Buffers", "receive_buffer_host")
self._port = port
if port is None:
self._port = config.getint("Buffers", "receive_buffer_port")
if spike_times is None:
spike_times = []
self._minimum_sdram_for_buffering = config.getint(
"Buffers", "minimum_buffer_sdram")
self._using_auto_pause_and_resume = config.getboolean(
"Buffers", "use_auto_pause_and_resume")
ReverseIpTagMultiCastSource.__init__(
self, n_keys=n_neurons, machine_time_step=machine_time_step,
timescale_factor=timescale_factor, label=label,
constraints=constraints,
max_atoms_per_core=(SpikeSourceArray.
_model_based_max_atoms_per_core),
board_address=board_address,
receive_port=None, receive_sdp_port=None, receive_tag=None,
virtual_key=None, prefix=None, prefix_type=None, check_keys=False,
send_buffer_times=spike_times,
send_buffer_max_space=max_on_chip_memory_usage_for_spikes_in_bytes,
send_buffer_space_before_notify=space_before_notification,
send_buffer_notification_ip_address=self._ip_address,
send_buffer_notification_port=self._port,
send_buffer_notification_tag=tag)
AbstractSpikeRecordable.__init__(self)
AbstractProvidesOutgoingPartitionConstraints.__init__(self)
SimplePopulationSettable.__init__(self)
AbstractChangableAfterRun.__init__(self)
AbstractHasFirstMachineTimeStep.__init__(self)
# handle recording
self._spike_recorder = EIEIOSpikeRecorder(machine_time_step)
self._spike_recorder_buffer_size = spike_recorder_buffer_size
self._buffer_size_before_receive = buffer_size_before_receive
# Keep track of any previously generated buffers
self._send_buffers = dict()
self._spike_recording_region_size = None
self._partitioned_vertices = list()
self._partitioned_vertices_current_max_buffer_size = dict()
# used for reset and rerun
self._requires_mapping = True
self._last_runtime_position = 0
self._max_on_chip_memory_usage_for_spikes = \
max_on_chip_memory_usage_for_spikes_in_bytes
self._space_before_notification = space_before_notification
if self._max_on_chip_memory_usage_for_spikes is None:
self._max_on_chip_memory_usage_for_spikes = \
front_end_common_constants.MAX_SIZE_OF_BUFFERED_REGION_ON_CHIP
# check the values do not conflict with chip memory limit
if self._max_on_chip_memory_usage_for_spikes < 0:
raise exceptions.ConfigurationException(
"The memory usage on chip is either beyond what is supportable"
" on the spinnaker board being supported or you have requested"
" a negative value for a memory usage. Please correct and"
" try again")
if (self._max_on_chip_memory_usage_for_spikes <
self._space_before_notification):
self._space_before_notification =\
self._max_on_chip_memory_usage_for_spikes
