def test_get_vertices_from_vertex(self): """ test getting the vertex from a graph mapper via the vertex """ vertices = list() vertices.append(SimpleMachineVertex(None, "")) vertices.append(SimpleMachineVertex(None, "")) vertex1 = SimpleMachineVertex(None, "") vertex2 = SimpleMachineVertex(None, "") edges = list() edges.append(MachineEdge(vertices[0], vertices[1])) edges.append(MachineEdge(vertices[1], vertices[1])) graph_mapper = GraphMapper() vert = SimpleTestVertex(4, "Some testing vertex") vertex_slice = Slice(0, 1) graph_mapper.add_vertex_mapping(vertex1, vertex_slice, vert) vertex_slice = Slice(2, 3) graph_mapper.add_vertex_mapping(vertex2, vertex_slice, vert) returned_vertices = graph_mapper.get_machine_vertices(vert) self.assertIn(vertex1, returned_vertices) self.assertIn(vertex2, returned_vertices) for v in vertices: self.assertNotIn(v, returned_vertices)
def test_get_vertex_from_vertex(self): """ test that the graph mapper can retrieve a vertex from a given vertex """ vertices = list() vertices.append(SimpleMachineVertex(None, "")) vertices.append(SimpleMachineVertex(None, "")) vertex1 = SimpleMachineVertex(None, "") vertex2 = SimpleMachineVertex(None, "") graph_mapper = GraphMapper() vert = SimpleTestVertex(10, "Some testing vertex") vertex_slice = Slice(0, 1) graph_mapper.add_vertex_mapping(vertex1, vertex_slice, vert) vertex_slice = Slice(2, 3) graph_mapper.add_vertex_mapping(vertex2, vertex_slice, vert) self.assertEqual( vert, graph_mapper.get_application_vertex(vertex1)) self.assertEqual( vert, graph_mapper.get_application_vertex(vertex2)) self.assertEqual( None, graph_mapper.get_application_vertex(vertices[0])) self.assertEqual( None, graph_mapper.get_application_vertex(vertices[1]))
def test_with_application_vertices(self): """ Test that an application vertex's data is rewritten correctly """ # Create a default SDRAM to set the max to default SDRAM() reload_region_data = [(0, [0] * 10), (1, [1] * 20)] vertex = _TestApplicationVertex(10, reload_region_data) m_slice_1 = Slice(0, 4) m_slice_2 = Slice(5, 9) m_vertex_1 = vertex.create_machine_vertex(m_slice_1, None, None, None) m_vertex_2 = vertex.create_machine_vertex(m_slice_2, None, None, None) graph_mapper = GraphMapper() graph_mapper.add_vertex_mapping(m_vertex_1, m_slice_1, vertex) graph_mapper.add_vertex_mapping(m_vertex_2, m_slice_2, vertex) placements = Placements( [Placement(m_vertex_1, 0, 0, 1), Placement(m_vertex_2, 0, 0, 2)]) user_0_addresses = { (placement.x, placement.y, placement.p): i * 1000 for i, placement in enumerate(placements.placements) } region_addresses = [i for i in range(MAX_MEM_REGIONS)] transceiver = _MockTransceiver(user_0_addresses, region_addresses) reloader = DSGRegionReloader() reloader.__call__(transceiver, placements, "localhost", "test", False, "test", graph_mapper) regions_rewritten = transceiver.regions_rewritten # Check that the number of times the data has been regenerated is # correct self.assertEqual(vertex.regenerate_call_count, placements.n_placements) # Check that the number of regions rewritten is correct self.assertEqual(len(transceiver.regions_rewritten), placements.n_placements * len(reload_region_data)) # Check that the data rewritten is correct for i, placement in enumerate(placements.placements): user_0_address = user_0_addresses[placement.x, placement.y, placement.p] for j in range(len(reload_region_data)): pos = (i * len(reload_region_data)) + j region, data = reload_region_data[j] address = get_region_base_address_offset( user_0_address, 0) + region_addresses[region] data = bytearray(numpy.array(data, dtype="uint32").tobytes()) # Check that the base address and data written is correct self.assertEqual(regions_rewritten[pos], (address, data)) # Delete data files shutil.rmtree("test")
def test_local_verts_go_to_local_lpgs_app_graph(self): machine = VirtualMachine(width=12, height=12, with_wrap_arounds=True) graph = MachineGraph("Test") app_graph = ApplicationGraph("Test") app_graph_mapper = GraphMapper() default_params = { 'use_prefix': False, 'key_prefix': None, 'prefix_type': None, 'message_type': EIEIOType.KEY_32_BIT, 'right_shift': 0, 'payload_as_time_stamps': True, 'use_payload_prefix': True, 'payload_prefix': None, 'payload_right_shift': 0, 'number_of_packets_sent_per_time_step': 0, 'hostname': None, 'port': None, 'strip_sdp': None, 'board_address': None, 'tag': None} # data stores needed by algorithm live_packet_gatherers = dict() extended = dict(default_params) extended.update({'partition_id': "EVENTS"}) default_params_holder = LivePacketGatherParameters(**extended) live_packet_gatherers[default_params_holder] = list() live_packet_gatherers_to_vertex_mapping = defaultdict(dict) placements = Placements() # add LPG's (1 for each Ethernet connected chip for chip in machine.ethernet_connected_chips: vertex = LivePacketGather(**default_params) app_graph.add_vertex(vertex) vertex_slice = Slice(0, 0) resources_required = vertex.get_resources_used_by_atoms( vertex_slice) mac_vertex = vertex.create_machine_vertex( vertex_slice, resources_required) graph.add_vertex(mac_vertex) app_graph_mapper.add_vertex_mapping( mac_vertex, Slice(0, 0), vertex) placements.add_placement( Placement(x=chip.x, y=chip.y, p=2, vertex=mac_vertex)) live_packet_gatherers_to_vertex_mapping[ default_params_holder][chip.x, chip.y] = mac_vertex # tracker of wirings verts_expected = defaultdict(list) positions = list() positions.append([0, 0, 0, 0]) positions.append([4, 4, 0, 0]) positions.append([1, 1, 0, 0]) positions.append([2, 2, 0, 0]) positions.append([8, 4, 8, 4]) positions.append([11, 4, 8, 4]) positions.append([4, 11, 4, 8]) positions.append([4, 8, 4, 8]) positions.append([0, 11, 8, 4]) positions.append([11, 11, 4, 8]) positions.append([8, 8, 4, 8]) positions.append([4, 0, 0, 0]) positions.append([7, 7, 0, 0]) # add graph vertices which reside on areas of the machine to ensure # spread over boards. for x, y, eth_x, eth_y in positions: vertex = SimpleTestVertex(1) app_graph.add_vertex(vertex) vertex_slice = Slice(0, 0) resources_required = vertex.get_resources_used_by_atoms( vertex_slice) mac_vertex = vertex.create_machine_vertex( vertex_slice, resources_required) graph.add_vertex(mac_vertex) app_graph_mapper.add_vertex_mapping( mac_vertex, vertex_slice, vertex) live_packet_gatherers[default_params_holder].append(vertex) verts_expected[eth_x, eth_y].append(mac_vertex) placements.add_placement( Placement(x=x, y=y, p=5, vertex=mac_vertex)) # run edge inserter that should go boom edge_inserter = InsertEdgesToLivePacketGatherers() edge_inserter( live_packet_gatherer_parameters=live_packet_gatherers, placements=placements, live_packet_gatherers_to_vertex_mapping=( live_packet_gatherers_to_vertex_mapping), machine=machine, machine_graph=graph, application_graph=app_graph, graph_mapper=app_graph_mapper) # verify edges are in the right place for chip in machine.ethernet_connected_chips: edges = graph.get_edges_ending_at_vertex( live_packet_gatherers_to_vertex_mapping[ default_params_holder][chip.x, chip.y]) for edge in edges: self.assertIn(edge.pre_vertex, verts_expected[chip.x, chip.y]) # check app graph for chip in machine.ethernet_connected_chips: app_verts_expected = [ app_graph_mapper.get_application_vertex(vert) for vert in verts_expected[chip.x, chip.y]] lpg_machine = live_packet_gatherers_to_vertex_mapping[ default_params_holder][chip.x, chip.y] lpg_app = app_graph_mapper.get_application_vertex(lpg_machine) edges = app_graph.get_edges_ending_at_vertex(lpg_app) for edge in edges: self.assertIn(edge.pre_vertex, app_verts_expected)
def test_local_verts_go_to_local_lpgs_app_graph(self): machine = VirtualMachine(width=12, height=12, with_wrap_arounds=True) graph = MachineGraph("Test") app_graph = ApplicationGraph("Test") app_graph_mapper = GraphMapper() default_params = { 'use_prefix': False, 'key_prefix': None, 'prefix_type': None, 'message_type': EIEIOType.KEY_32_BIT, 'right_shift': 0, 'payload_as_time_stamps': True, 'use_payload_prefix': True, 'payload_prefix': None, 'payload_right_shift': 0, 'number_of_packets_sent_per_time_step': 0, 'hostname': None, 'port': None, 'strip_sdp': None, 'board_address': None, 'tag': None, 'label': "test" } # data stores needed by algorithm live_packet_gatherers = dict() extended = dict(default_params) extended.update({'partition_id': "EVENTS"}) default_params_holder = LivePacketGatherParameters(**extended) live_packet_gatherers[default_params_holder] = list() live_packet_gatherers_to_vertex_mapping = defaultdict(dict) placements = Placements() # add LPG's (1 for each Ethernet connected chip for chip in machine.ethernet_connected_chips: vertex = LivePacketGather(**default_params) app_graph.add_vertex(vertex) vertex_slice = Slice(0, 0) resources_required = vertex.get_resources_used_by_atoms( vertex_slice) mac_vertex = vertex.create_machine_vertex(vertex_slice, resources_required) graph.add_vertex(mac_vertex) app_graph_mapper.add_vertex_mapping(mac_vertex, Slice(0, 0), vertex) placements.add_placement( Placement(x=chip.x, y=chip.y, p=2, vertex=mac_vertex)) live_packet_gatherers_to_vertex_mapping[default_params_holder][ chip.x, chip.y] = mac_vertex # tracker of wirings verts_expected = defaultdict(list) positions = list() positions.append([0, 0, 0, 0]) positions.append([4, 4, 0, 0]) positions.append([1, 1, 0, 0]) positions.append([2, 2, 0, 0]) positions.append([8, 4, 8, 4]) positions.append([11, 4, 8, 4]) positions.append([4, 11, 4, 8]) positions.append([4, 8, 4, 8]) positions.append([0, 11, 8, 4]) positions.append([11, 11, 4, 8]) positions.append([8, 8, 4, 8]) positions.append([4, 0, 0, 0]) positions.append([7, 7, 0, 0]) # add graph vertices which reside on areas of the machine to ensure # spread over boards. for x, y, eth_x, eth_y in positions: vertex = TestVertex(1) app_graph.add_vertex(vertex) vertex_slice = Slice(0, 0) resources_required = vertex.get_resources_used_by_atoms( vertex_slice) mac_vertex = vertex.create_machine_vertex(vertex_slice, resources_required) graph.add_vertex(mac_vertex) app_graph_mapper.add_vertex_mapping(mac_vertex, vertex_slice, vertex) live_packet_gatherers[default_params_holder].append(vertex) verts_expected[eth_x, eth_y].append(mac_vertex) placements.add_placement( Placement(x=x, y=y, p=5, vertex=mac_vertex)) # run edge inserter that should go boom edge_inserter = InsertEdgesToLivePacketGatherers() edge_inserter(live_packet_gatherer_parameters=live_packet_gatherers, placements=placements, live_packet_gatherers_to_vertex_mapping=( live_packet_gatherers_to_vertex_mapping), machine=machine, machine_graph=graph, application_graph=app_graph, graph_mapper=app_graph_mapper) # verify edges are in the right place for chip in machine.ethernet_connected_chips: edges = graph.get_edges_ending_at_vertex( live_packet_gatherers_to_vertex_mapping[default_params_holder][ chip.x, chip.y]) for edge in edges: self.assertIn(edge.pre_vertex, verts_expected[chip.x, chip.y]) # check app graph for chip in machine.ethernet_connected_chips: app_verts_expected = [ app_graph_mapper.get_application_vertex(vert) for vert in verts_expected[chip.x, chip.y] ] lpg_machine = live_packet_gatherers_to_vertex_mapping[ default_params_holder][chip.x, chip.y] lpg_app = app_graph_mapper.get_application_vertex(lpg_machine) edges = app_graph.get_edges_ending_at_vertex(lpg_app) for edge in edges: self.assertIn(edge.pre_vertex, app_verts_expected)
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 test_write_synaptic_matrix_and_master_population_table(self): MockSimulator.setup() # Add an sdram so maxsdram is high enough SDRAM(10000) 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_2 = OneToOneConnector(None) one_to_one_connector_2.set_projection_information( pre_app_vertex, post_app_vertex, None, machine_time_step) all_to_all_connector = AllToAllConnector(None) all_to_all_connector.set_projection_information( pre_app_vertex, post_app_vertex, None, machine_time_step) direct_synapse_information_1 = SynapseInformation( one_to_one_connector_1, SynapseDynamicsStatic(), 0, 1.5, 1.0) direct_synapse_information_2 = SynapseInformation( one_to_one_connector_2, SynapseDynamicsStatic(), 1, 2.5, 2.0) all_to_all_synapse_information = SynapseInformation( all_to_all_connector, SynapseDynamicsStatic(), 0, 4.5, 4.0) 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 direct_region = 2 spec.reserve_memory_region(master_pop_region, master_pop_sz) spec.reserve_memory_region(synapse_region, all_syn_block_sz) synaptic_manager = SynapticManager( n_synapse_types=2, ring_buffer_sigma=5.0, spikes_per_second=100.0, config=config) # UGLY but the mock transceiver NEED generate_on_machine be False abstract_generate_connector_on_machine.IS_PYNN_8 = False 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, direct_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) direct_matrix = executor.get_region(2) 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]) all_data.extend(direct_matrix.region_data[ :direct_matrix.max_write_pointer]) master_pop_table_address = 0 synaptic_matrix_address = master_pop_table.max_write_pointer direct_synapses_address = ( synaptic_matrix_address + synaptic_matrix.max_write_pointer) direct_synapses_address += 4 indirect_synapses_address = synaptic_matrix_address 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 assert 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])