def __call__(self, subgraph, placements, n_keys_map, routing_paths):
"""
Allocates routing information to the partitioned edges in a\
partitioned graph
:param subgraph: The partitioned graph to allocate the routing info for
:type subgraph:\
:py:class:`pacman.model.partitioned_graph.partitioned_graph.PartitionedGraph`
:param placements: The placements of the subvertices
:type placements:\
:py:class:`pacman.model.placements.placements.Placements`
:param n_keys_map: A map between the partitioned edges and the number\
of keys required by the edges
:type n_keys_map:\
:py:class:`pacman.model.routing_info.abstract_partitioned_edge_n_keys_map.AbstractPartitionedEdgeNKeysMap`
:param routing_paths: the paths each partitioned edge takes to get\
from source to destination.
:type routing_paths:
:py:class:`pacman.model.routing_paths.multicast_routing_paths.MulticastRoutingPaths
:return: The routing information
:rtype: :py:class:`pacman.model.routing_info.routing_info.RoutingInfo`,
:py:class:`pacman.model.routing_tables.multicast_routing_table.MulticastRoutingTable
:raise pacman.exceptions.PacmanRouteInfoAllocationException: If\
something goes wrong with the allocation
"""
# check that this algorithm supports the constraints put onto the
# partitioned_edges
supported_constraints = []
utility_calls.check_algorithm_can_support_constraints(
constrained_vertices=subgraph.subedges,
supported_constraints=supported_constraints,
abstract_constraint_type=AbstractKeyAllocatorConstraint)
# take each subedge and create keys from its placement
progress_bar = ProgressBar(len(subgraph.subedges),
"Allocating routing keys")
routing_infos = RoutingInfo()
routing_tables = MulticastRoutingTables()
for subedge in subgraph.subedges:
destination = subedge.post_subvertex
placement = placements.get_placement_of_subvertex(destination)
key = self._get_key_from_placement(placement)
keys_and_masks = list(
[BaseKeyAndMask(base_key=key, mask=self.MASK)])
n_keys = n_keys_map.n_keys_for_partitioned_edge(subedge)
if n_keys > self.MAX_KEYS_SUPPORTED:
raise exceptions.PacmanConfigurationException(
"Only edges which require less than {} keys are supported".
format(self.MAX_KEYS_SUPPORTED))
partition_info = PartitionRoutingInfo(keys_and_masks, subedge)
routing_infos.add_partition_info(partition_info)
progress_bar.update()
progress_bar.end()
return {
'routing_infos': routing_infos,
'routing_tables': routing_tables
}
def test_write_synaptic_matrix_and_master_population_table(self):
MockSimulator.setup()
default_config_paths = os.path.join(
os.path.dirname(abstract_spinnaker_common.__file__),
AbstractSpiNNakerCommon.CONFIG_FILE_NAME)
config = conf_loader.load_config(
AbstractSpiNNakerCommon.CONFIG_FILE_NAME, default_config_paths)
config.set("Simulation", "one_to_one_connection_dtcm_max_bytes", 40)
machine_time_step = 1000.0
pre_app_vertex = SimpleApplicationVertex(10)
pre_vertex = SimpleMachineVertex(resources=None)
pre_vertex_slice = Slice(0, 9)
post_app_vertex = SimpleApplicationVertex(10)
post_vertex = SimpleMachineVertex(resources=None)
post_vertex_slice = Slice(0, 9)
post_slice_index = 0
one_to_one_connector_1 = OneToOneConnector(None)
one_to_one_connector_1.set_projection_information(
pre_app_vertex, post_app_vertex, None, machine_time_step)
one_to_one_connector_1.set_weights_and_delays(1.5, 1.0)
one_to_one_connector_2 = OneToOneConnector(None)
one_to_one_connector_2.set_projection_information(
pre_app_vertex, post_app_vertex, None, machine_time_step)
one_to_one_connector_2.set_weights_and_delays(2.5, 2.0)
all_to_all_connector = AllToAllConnector(None)
all_to_all_connector.set_projection_information(
pre_app_vertex, post_app_vertex, None, machine_time_step)
all_to_all_connector.set_weights_and_delays(4.5, 4.0)
direct_synapse_information_1 = SynapseInformation(
one_to_one_connector_1, SynapseDynamicsStatic(), 0)
direct_synapse_information_2 = SynapseInformation(
one_to_one_connector_2, SynapseDynamicsStatic(), 1)
all_to_all_synapse_information = SynapseInformation(
all_to_all_connector, SynapseDynamicsStatic(), 0)
app_edge = ProjectionApplicationEdge(
pre_app_vertex, post_app_vertex, direct_synapse_information_1)
app_edge.add_synapse_information(direct_synapse_information_2)
app_edge.add_synapse_information(all_to_all_synapse_information)
machine_edge = ProjectionMachineEdge(
app_edge.synapse_information, pre_vertex, post_vertex)
partition_name = "TestPartition"
graph = MachineGraph("Test")
graph.add_vertex(pre_vertex)
graph.add_vertex(post_vertex)
graph.add_edge(machine_edge, partition_name)
graph_mapper = GraphMapper()
graph_mapper.add_vertex_mapping(
pre_vertex, pre_vertex_slice, pre_app_vertex)
graph_mapper.add_vertex_mapping(
post_vertex, post_vertex_slice, post_app_vertex)
graph_mapper.add_edge_mapping(machine_edge, app_edge)
weight_scales = [4096.0, 4096.0]
key = 0
routing_info = RoutingInfo()
routing_info.add_partition_info(PartitionRoutingInfo(
[BaseKeyAndMask(key, 0xFFFFFFF0)],
graph.get_outgoing_edge_partition_starting_at_vertex(
pre_vertex, partition_name)))
temp_spec = tempfile.mktemp()
spec_writer = FileDataWriter(temp_spec)
spec = DataSpecificationGenerator(spec_writer, None)
master_pop_sz = 1000
master_pop_region = 0
all_syn_block_sz = 2000
synapse_region = 1
spec.reserve_memory_region(master_pop_region, master_pop_sz)
spec.reserve_memory_region(synapse_region, all_syn_block_sz)
synapse_type = MockSynapseType()
synaptic_manager = SynapticManager(
synapse_type=synapse_type, ring_buffer_sigma=5.0,
spikes_per_second=100.0, config=config)
synaptic_manager._write_synaptic_matrix_and_master_population_table(
spec, [post_vertex_slice], post_slice_index, post_vertex,
post_vertex_slice, all_syn_block_sz, weight_scales,
master_pop_region, synapse_region, routing_info, graph_mapper,
graph, machine_time_step)
spec.end_specification()
spec_writer.close()
spec_reader = FileDataReader(temp_spec)
executor = DataSpecificationExecutor(
spec_reader, master_pop_sz + all_syn_block_sz)
executor.execute()
master_pop_table = executor.get_region(0)
synaptic_matrix = executor.get_region(1)
all_data = bytearray()
all_data.extend(master_pop_table.region_data[
:master_pop_table.max_write_pointer])
all_data.extend(synaptic_matrix.region_data[
:synaptic_matrix.max_write_pointer])
master_pop_table_address = 0
synaptic_matrix_address = master_pop_table.max_write_pointer
direct_synapses_address = struct.unpack_from(
"<I", synaptic_matrix.region_data)[0]
direct_synapses_address += synaptic_matrix_address + 8
indirect_synapses_address = synaptic_matrix_address + 4
placement = Placement(None, 0, 0, 1)
transceiver = MockTransceiverRawData(all_data)
# Get the master population table details
items = synaptic_manager._poptable_type\
.extract_synaptic_matrix_data_location(
key, master_pop_table_address, transceiver,
placement.x, placement.y)
# The first entry should be direct, but the rest should be indirect;
# the second is potentially direct, but has been restricted by the
# restriction on the size of the direct matrix
assert len(items) == 3
# TODO: This has been changed because direct matrices are disabled!
assert not items[0][2]
assert not items[1][2]
assert not items[2][2]
data_1, row_len_1 = synaptic_manager._retrieve_synaptic_block(
transceiver=transceiver, placement=placement,
master_pop_table_address=master_pop_table_address,
indirect_synapses_address=indirect_synapses_address,
direct_synapses_address=direct_synapses_address, key=key,
n_rows=pre_vertex_slice.n_atoms, index=0,
using_extra_monitor_cores=False)
connections_1 = synaptic_manager._synapse_io.read_synapses(
direct_synapse_information_1, pre_vertex_slice, post_vertex_slice,
row_len_1, 0, 2, weight_scales, data_1, None,
app_edge.n_delay_stages, machine_time_step)
# The first matrix is a 1-1 matrix, so row length is 1
assert row_len_1 == 1
# Check that all the connections have the right weight and delay
assert len(connections_1) == post_vertex_slice.n_atoms
assert all([conn["weight"] == 1.5 for conn in connections_1])
assert all([conn["delay"] == 1.0 for conn in connections_1])
data_2, row_len_2 = synaptic_manager._retrieve_synaptic_block(
transceiver=transceiver, placement=placement,
master_pop_table_address=master_pop_table_address,
indirect_synapses_address=indirect_synapses_address,
direct_synapses_address=direct_synapses_address, key=key,
n_rows=pre_vertex_slice.n_atoms, index=1,
using_extra_monitor_cores=False)
connections_2 = synaptic_manager._synapse_io.read_synapses(
direct_synapse_information_2, pre_vertex_slice, post_vertex_slice,
row_len_2, 0, 2, weight_scales, data_2, None,
app_edge.n_delay_stages, machine_time_step)
# The second matrix is a 1-1 matrix, so row length is 1
assert row_len_2 == 1
# Check that all the connections have the right weight and delay
assert len(connections_2) == post_vertex_slice.n_atoms
assert all([conn["weight"] == 2.5 for conn in connections_2])
assert all([conn["delay"] == 2.0 for conn in connections_2])
data_3, row_len_3 = synaptic_manager._retrieve_synaptic_block(
transceiver=transceiver, placement=placement,
master_pop_table_address=master_pop_table_address,
indirect_synapses_address=indirect_synapses_address,
direct_synapses_address=direct_synapses_address, key=key,
n_rows=pre_vertex_slice.n_atoms, index=2,
using_extra_monitor_cores=False)
connections_3 = synaptic_manager._synapse_io.read_synapses(
all_to_all_synapse_information, pre_vertex_slice,
post_vertex_slice, row_len_3, 0, 2, weight_scales, data_3, None,
app_edge.n_delay_stages, machine_time_step)
# The third matrix is an all-to-all matrix, so length is n_atoms
assert row_len_3 == post_vertex_slice.n_atoms
# Check that all the connections have the right weight and delay
assert len(connections_3) == \
post_vertex_slice.n_atoms * pre_vertex_slice.n_atoms
assert all([conn["weight"] == 4.5 for conn in connections_3])
assert all([conn["delay"] == 4.0 for conn in connections_3])
def __call__(self, partitioned_graph, placements, n_keys_map):
"""
Allocates routing information to the partitioned edges in a\
partitioned graph
:param partitioned_graph: The partitioned graph to allocate the \
outing info for
:type partitioned_graph:\
:py:class:`pacman.model.partitioned_graph.partitioned_graph.PartitionedGraph`
:param placements: The placements of the subvertices
:type placements:\
:py:class:`pacman.model.placements.placements.Placements`
:param n_keys_map: A map between the partitioned edges and the number\
of keys required by the edges
:type n_keys_map:\
:py:class:`pacman.model.routing_info.abstract_partitioned_edge_n_keys_map.AbstractPartitionedEdgeNKeysMap`
:return: The routing information
:rtype: :py:class:`pacman.model.routing_info.routing_info.RoutingInfo`,
:py:class:`pacman.model.routing_tables.multicast_routing_table.MulticastRoutingTable
:raise pacman.exceptions.PacmanRouteInfoAllocationException: If\
something goes wrong with the allocation
"""
# check that this algorithm supports the constraints put onto the
# partitioned_edges
supported_constraints = [KeyAllocatorContiguousRangeContraint]
utility_calls.check_algorithm_can_support_constraints(
constrained_vertices=partitioned_graph.partitions,
supported_constraints=supported_constraints,
abstract_constraint_type=AbstractKeyAllocatorConstraint)
# take each subedge and create keys from its placement
progress_bar = ProgressBar(len(partitioned_graph.subvertices),
"Allocating routing keys")
routing_infos = RoutingInfo()
for subvert in partitioned_graph.subvertices:
partitions = partitioned_graph.\
outgoing_edges_partitions_from_vertex(subvert)
for partition in partitions.values():
n_keys = n_keys_map.n_keys_for_partition(partition)
if n_keys > MAX_KEYS_SUPPORTED:
raise PacmanRouteInfoAllocationException(
"This routing info allocator can only support up to {}"
" keys for any given subedge; cannot therefore"
" allocate keys to {}, which is requesting {} keys".
format(MAX_KEYS_SUPPORTED, partition, n_keys))
placement = placements.get_placement_of_subvertex(subvert)
if placement is not None:
key = self._get_key_from_placement(placement)
keys_and_masks = list(
[BaseKeyAndMask(base_key=key, mask=MASK)])
subedge_routing_info = PartitionRoutingInfo(
keys_and_masks, partition)
routing_infos.add_partition_info(subedge_routing_info)
else:
raise PacmanRouteInfoAllocationException(
"This subvertex '{}' has no placement! this should "
"never occur, please fix and try again.".format(
subvert))
progress_bar.update()
progress_bar.end()
return {'routing_infos': routing_infos}
