Ejemplo n.º 1
0
    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])
Ejemplo n.º 2
0
    def test_write_synaptic_matrix_and_master_population_table(self):
        MockSimulator.setup()
        # Add an sdram so max SDRAM is high enough
        SDRAM(10000)

        # UGLY but the mock transceiver NEED generate_on_machine to be False
        AbstractGenerateConnectorOnMachine.generate_on_machine = self.say_false
        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_slice = Slice(0, 9)
        pre_vertex = pre_app_vertex.create_machine_vertex(
            pre_vertex_slice, None)
        post_app_vertex = SimpleApplicationVertex(10)
        post_vertex_slice = Slice(0, 9)
        post_vertex = post_app_vertex.create_machine_vertex(
            post_vertex_slice, None)
        post_slice_index = 0

        one_to_one_connector_1 = OneToOneConnector(None)
        direct_synapse_information_1 = SynapseInformation(
            one_to_one_connector_1, pre_app_vertex, post_app_vertex, False,
            False, None, SynapseDynamicsStatic(), 0, 1.5, 1.0)
        one_to_one_connector_1.set_projection_information(
            machine_time_step, direct_synapse_information_1)
        one_to_one_connector_2 = OneToOneConnector(None)
        direct_synapse_information_2 = SynapseInformation(
            one_to_one_connector_2, pre_app_vertex, post_app_vertex, False,
            False, None, SynapseDynamicsStatic(), 1, 2.5, 2.0)
        one_to_one_connector_2.set_projection_information(
            machine_time_step, direct_synapse_information_2)
        all_to_all_connector = AllToAllConnector(None)
        all_to_all_synapse_information = SynapseInformation(
            all_to_all_connector, pre_app_vertex, post_app_vertex, False,
            False, None, SynapseDynamicsStatic(), 0, 4.5, 4.0)
        all_to_all_connector.set_projection_information(
            machine_time_step, all_to_all_synapse_information)

        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 = app_edge.create_machine_edge(pre_vertex,
                                                    post_vertex,
                                                    label=None)
        partition_name = "TestPartition"

        graph = MachineGraph("Test")
        graph.add_vertex(pre_vertex)
        graph.add_vertex(post_vertex)
        graph.add_edge(machine_edge, partition_name)

        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
        all_syn_block_sz = 2000
        master_pop_region = 0
        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)
        # Poke in our testing region IDs
        synaptic_manager._pop_table_region = master_pop_region
        synaptic_manager._synaptic_matrix_region = synapse_region
        synaptic_manager._direct_matrix_region = direct_region

        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, routing_info,
            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._extract_synaptic_matrix_data_location(
            key, master_pop_table_address, transceiver, placement)

        # 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(
            txrx=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_monitors=False)
        connections_1 = synaptic_manager._read_synapses(
            direct_synapse_information_1, pre_vertex_slice, post_vertex_slice,
            row_len_1, 0, weight_scales, data_1, None, 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(
            txrx=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_monitors=False)
        connections_2 = synaptic_manager._read_synapses(
            direct_synapse_information_2, pre_vertex_slice, post_vertex_slice,
            row_len_2, 0, weight_scales, data_2, None, 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(
            txrx=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_monitors=False)
        connections_3 = synaptic_manager._read_synapses(
            all_to_all_synapse_information, pre_vertex_slice,
            post_vertex_slice, row_len_3, 0, weight_scales, data_3, None,
            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])