Пример #1
0
    def test_input_encoder(self):
        """Test running a compilation pipeline with input encoder and mocked port"""
        # Create an input encoder
        shape = (32, 32, 1, 1)
        ie = InputGenerator(shape)
        a = np.arange(0, 1024*5, 5)
        a = a.reshape(*shape)

        # Create an instance of board
        board = N2Board(1, 1, [4], [[5]*4])

        # Create a mock port and connect input encoder to this port
        mockPort = StateInputPort(name="input")
        cxIds = np.arange(shape[0]*shape[1])
        chip_core_ids = np.array([[0, 19]]*shape[0]*shape[1])
        mockAddresses = np.hstack((chip_core_ids, cxIds.reshape((shape[0]*shape[1],1))))
        mockPort.resourceMap = ResourceMapFactory.createExplicit(ResourceMapType.COMPARTMENT, mockAddresses)

        # Connect the ports
        ie.ports.output.connect(mockPort)

        # Create a model and add input encoder as composable
        m = Model(name="video_encoder")
        m.add(ie)
        m.compile(board=board)
        m.start(board=m.board, partition=os.environ.get("PARTITION"))

        # Encode the data
        ie.encode(a)

        m.run(1)
        m.disconnect()
        self.assertEqual(True, True)
Пример #2
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    def test_mapCompartments_2(self):
        """Check mapping of CompartmentGroups with soma traces."""

        verbose = False

        c = CompartmentGroup(cxIds=np.arange(15),
                             biasMant=np.concatenate(
                                 [range(10, 0, -1),
                                  range(5, 0, -1)]),
                             biasExp=np.zeros(15, int),
                             relToAbsDestCxIdxMap=np.array([], int))

        layer = Layer(layerId=0,
                      layerType='',
                      compartmentKwargs={
                          "compartmentCurrentDecay": 4096,
                          "compartmentVoltageDecay": 10,
                          "refractoryDelay": 30,
                          "vThMant": 40,
                          "enableSomaTrace": 1,
                          "threshOp": 0
                      },
                      connectionKwargs={},
                      coreIdMap=np.array([]),
                      multiplicityMap=np.array([]),
                      postLayer=None)

        p = Partition(partitionId=0,
                      chipCounter=0,
                      sizeInterleaved=-1,
                      parentLayer=layer)
        p.addCompartmentGroup(c)

        layer.addPartition(p)

        board = N2Board(0)
        c = DnnMapper(board)
        core = board.allocateCores(1, 0)[0]

        c._mapCompartments(p, core)  # pylint: disable=protected-access

        if verbose:
            c.printCore(core, compartments=True)

        self.assertEqual(len(core.somaState.modified), 15)
        self.assertEqual(core.somaState[0].vth, 40)
        self.assertEqual(core.vthProfileCfg[0].dynamicCfg.enableHomeostasis, 1)
        self.assertEqual(core.vthProfileCfg[0].dynamicCfg.aMax, 127)
    def test_spike_input_gen(self):
        """
        Create a mock output port and inject spikes into random axons.
        """

        # Create an input encoder
        ie = SpikeInputGenerator(name="SpikeGen")

        # Create an instance of board
        board = N2Board(1, 1, [4], [[5] * 4])

        # Create a mock port and connect input encoder to this port
        mockPort = StateInputPort(name="input")
        axonIds = np.arange(100)
        chip_core_ids = np.array([[0, 19]] * 100)
        mockAddresses = np.hstack((chip_core_ids, axonIds.reshape((100, 1))))
        mockPort.resourceMap = ResourceMapFactory.createExplicit(
            ResourceMapType.INPUT_AXON, mockAddresses)

        # Connect the ports
        ie.ports.output.connect(mockPort)

        # Create a model and add input encoder as composable
        m = Model(name="spike_encoder")
        m.add(ie)
        m.compile(board=board)
        m.start(board=m.board, partition=os.environ.get("PARTITION"))

        # Encode the data
        input_list = []
        for i in range(20):
            input_list.append((random.randint(1, 20), random.randint(0, 100)))
        ie.encode(input_list)

        m.run(20)
        m.disconnect()
        self.assertEqual(True, True)
Пример #4
0
    def test_spike_input_gen(self):
        """
        Create a mock output port and inject spikes into random axons.
        """

        # Create an input encoder
        ie = SpikeInputGenerator(name="SpikeGen")

        # Create an instance of board
        board = N2Board(1, 1, [4], [[5] * 4])

        n2Core = board.n2Chips[0].n2Cores[0]

        n2Core.cxProfileCfg[0].configure(decayV=int(2**12 - 1),
                                         decayU=int(2**12 - 1))

        n2Core.cxMetaState[0].configure(phase0=2)

        n2Core.vthProfileCfg[0].staticCfg.configure(vth=1024)
        n2Core.numUpdates.configure(numUpdates=1)
        n2Core.cxCfg[0].configure(bias=0, biasExp=0, vthProfile=0, cxProfile=0)

        n2Core.synapseMap[0].synapsePtr = 0
        n2Core.synapseMap[0].synapseLen = 1
        n2Core.synapseMap[0].discreteMapEntry.configure()
        n2Core.synapses[0].CIdx = 0
        n2Core.synapses[0].Wgt = 255
        n2Core.synapses[0].synFmtId = 1
        n2Core.synapseFmt[1].wgtBits = 7
        n2Core.synapseFmt[1].numSynapses = 63
        n2Core.synapseFmt[1].idxBits = 1
        n2Core.synapseFmt[1].compression = 3
        n2Core.synapseFmt[1].fanoutType = 1

        mon = board.monitor
        vProbes = mon.probe(n2Core.cxState, [0], 'v')[0]

        # Create a mock port and connect input encoder to this port
        mockPort = StateInputPort(name="input")
        num_axons = 100
        dst_core_id = 4
        chip_id = 0
        axonIds = np.arange(num_axons)
        chip_core_ids = np.array([[chip_id, dst_core_id]] * num_axons)
        mockAddresses = np.hstack((chip_core_ids, np.expand_dims(axonIds, 1)))
        mockPort.resourceMap = ResourceMapFactory.createExplicit(
            ResourceMapType.INPUT_AXON, mockAddresses)

        # Connect the ports
        ie.ports.output.connect(mockPort)

        # Create a model and add input encoder as composable
        m = Model(name="spike_encoder")
        m.add(ie)
        m.compile(board=board)
        m.start(board=m.board, partition=os.environ.get("PARTITION"))

        # Encode the data
        input_list = []
        num_timesteps = 200
        # for i in range(num_timesteps):
        #     input_list.append((random.randint(0, num_axons - 1),
        #                        random.randint(1, num_timesteps)))
        input_list = [(0, t) for t in range(1, num_timesteps)]
        ie.encode(input_list)

        m.run(num_timesteps)
        vProbes.plot()
        import matplotlib.pyplot as plt
        plt.show()

        m.disconnect()
        self.assertEqual(True, True)
Пример #5
0
    def test_mapOutputAxons(self):
        """Check mapping of OutputAxonGroups."""

        verbose = False

        # Create destination layer
        lDst = Layer(layerId=0,
                     layerType='foo',
                     compartmentKwargs={},
                     connectionKwargs={},
                     coreIdMap=np.array([]),
                     multiplicityMap=np.array([]),
                     postLayer=getDummyLayer((1, )))

        # Create destination partition with InputAxonGroups
        pDst = Partition(partitionId=0,
                         chipCounter=10,
                         sizeInterleaved=-1,
                         parentLayer=lDst)

        sgDst = SynapseGroup(groupId=0, synEntries=[[]])

        iag0 = InputAxonGroup(srcNodeIds=np.array([10, 11, 12]),
                              multiplicity=np.array([1, 1, 1]),
                              synGroup=sgDst,
                              cxBase=1,
                              parentPartition=pDst)

        iag1 = InputAxonGroup(srcNodeIds=np.array([20, 21, 22]),
                              multiplicity=np.array([1, 2, 1]),
                              synGroup=sgDst,
                              cxBase=2,
                              parentPartition=pDst)

        iag2 = InputAxonGroup(srcNodeIds=np.array([30, 31, 32]),
                              multiplicity=np.array([2, 3, 4]),
                              synGroup=sgDst,
                              cxBase=3,
                              parentPartition=pDst)

        pDst.addInputAxonGroup(iag0)
        pDst.addInputAxonGroup(iag1)
        pDst.addInputAxonGroup(iag2)
        lDst.addPartition(pDst)

        # Create source layer
        lSrc = Layer(layerId=0,
                     layerType='foo',
                     compartmentKwargs={},
                     connectionKwargs={},
                     coreIdMap=np.array([]),
                     multiplicityMap=np.array([]),
                     postLayer=lDst)

        # Create source partition with output axons
        pSrc = Partition(partitionId=1,
                         chipCounter=8,
                         sizeInterleaved=-1,
                         parentLayer=lSrc)

        oag0 = OutputAxonGroup(cxIds=np.array([0, 1, 2]),
                               multiplicity=np.array([1, 1, 1]),
                               relSrcIds=np.array([0, 1, 2]),
                               inAxGrp=iag0,
                               parentPartition=pSrc)

        oag1 = OutputAxonGroup(cxIds=np.array([3, 4, 5]),
                               multiplicity=np.array([1, 2, 1]),
                               relSrcIds=np.array([0, 1, 2]),
                               inAxGrp=iag1,
                               parentPartition=pSrc)

        oag2 = OutputAxonGroup(cxIds=np.array([6, 7, 8]),
                               multiplicity=np.array([2, 3, 4]),
                               relSrcIds=np.array([0, 1, 2]),
                               inAxGrp=iag2,
                               parentPartition=pSrc)

        pSrc.addOutputAxonGroup(oag0)
        pSrc.addOutputAxonGroup(oag1)
        pSrc.addOutputAxonGroup(oag2)
        lSrc.addPartition(pSrc)

        # Initialize board and mapper
        board = N2Board(0)
        c = DnnMapper(board)
        core = board.allocateCores(1, 0)[0]

        # Create fake inAxMap as if it was created by mapInputAxons
        c._inAxMap[iag0.id] = np.array([[10, 10, 1], [10, 10, 1], [10, 10, 1]],
                                       int)
        c._inAxMap[iag1.id] = np.array([[11, 10, 1], [12, 10, 1], [11, 10, 1]],
                                       int)
        c._inAxMap[iag2.id] = np.array([[13, 10, 1], [14, 10, 1], [15, 10, 1]],
                                       int)

        # First call: nothing will happen.
        c._mapOutputAxons(pDst, core)  # pylint: disable=protected-access
        c._mapOutputAxons(pSrc, core)  # pylint: disable=protected-access

        # Validate output axons
        # OutputAxonGroup 0
        self.assertEqual(core.axons[0].srcCxId, 0)
        self.assertEqual(core.axons[0].srcRelCxId, 0)
        self.assertEqual(core.axons[0].dstChipId, 10)
        self.assertEqual(core.axons[0].dstCoreId, 1)
        self.assertEqual(core.axons[0].dstSynMapId, 10)
        self.assertEqual(core.axons[0].axonType, 2)  # pop32
        self.assertEqual(core.axons[0].popId, 0)

        self.assertEqual(core.axons[1].srcCxId, 1)
        self.assertEqual(core.axons[1].srcRelCxId, 1)
        self.assertEqual(core.axons[1].dstChipId, 10)
        self.assertEqual(core.axons[1].dstCoreId, 1)
        self.assertEqual(core.axons[1].dstSynMapId, 10)
        self.assertEqual(core.axons[1].axonType, 2)  # pop32
        self.assertEqual(core.axons[1].popId, 1)

        self.assertEqual(core.axons[2].srcCxId, 2)
        self.assertEqual(core.axons[2].srcRelCxId, 2)
        self.assertEqual(core.axons[2].dstChipId, 10)
        self.assertEqual(core.axons[2].dstCoreId, 1)
        self.assertEqual(core.axons[2].dstSynMapId, 10)
        self.assertEqual(core.axons[2].axonType, 2)  # pop32
        self.assertEqual(core.axons[2].popId, 2)

        # OutputAxonGroup 1
        self.assertEqual(core.axons[3].srcCxId, 3)
        self.assertEqual(core.axons[3].srcRelCxId, 0)
        self.assertEqual(core.axons[3].dstChipId, 10)
        self.assertEqual(core.axons[3].dstCoreId, 1)
        self.assertEqual(core.axons[3].dstSynMapId, 11)
        self.assertEqual(core.axons[3].axonType, 2)  # pop32
        self.assertEqual(core.axons[3].popId, 3)

        self.assertEqual(core.axons[4].srcCxId, 4)
        self.assertEqual(core.axons[4].dstChipId, 10)
        self.assertEqual(core.axons[4].dstCoreId, 1)
        self.assertEqual(core.axons[4].dstSynMapId, 12)
        self.assertEqual(core.axons[4].axonType, 0)  # discrete

        self.assertEqual(core.axons[5].srcCxId, 5)
        self.assertEqual(core.axons[5].srcRelCxId, 2)
        self.assertEqual(core.axons[5].dstChipId, 10)
        self.assertEqual(core.axons[5].dstCoreId, 1)
        self.assertEqual(core.axons[5].dstSynMapId, 11)
        self.assertEqual(core.axons[5].axonType, 2)  # pop32
        self.assertEqual(core.axons[5].popId, 4)

        # OutputAxonGroup 1
        self.assertEqual(core.axons[6].srcCxId, 6)
        self.assertEqual(core.axons[6].dstChipId, 10)
        self.assertEqual(core.axons[6].dstCoreId, 1)
        self.assertEqual(core.axons[6].dstSynMapId, 13)
        self.assertEqual(core.axons[6].axonType, 0)  # discrete

        self.assertEqual(core.axons[7].srcCxId, 7)
        self.assertEqual(core.axons[7].dstChipId, 10)
        self.assertEqual(core.axons[7].dstCoreId, 1)
        self.assertEqual(core.axons[7].dstSynMapId, 14)
        self.assertEqual(core.axons[7].axonType, 0)  # discrete

        self.assertEqual(core.axons[8].srcCxId, 8)
        self.assertEqual(core.axons[8].dstChipId, 10)
        self.assertEqual(core.axons[8].dstCoreId, 1)
        self.assertEqual(core.axons[8].dstSynMapId, 15)
        self.assertEqual(core.axons[8].axonType, 0)  # discrete

        if verbose:
            c.printCore(core, outputAxons=True)
Пример #6
0
    def test_mapSynapses_3(self):
        """Check generation of synGrpMap."""

        verbose = False

        layer = Layer(layerId=0,
                      layerType='',
                      compartmentKwargs={},
                      connectionKwargs={"weightExponent": 2},
                      coreIdMap=np.array([]),
                      multiplicityMap=np.array([]),
                      postLayer=None)

        sf = SynFmt(synFmtId=0,
                    cIdxOffset=0,
                    cIdxMult=2,
                    numIdxBits=6,
                    numSkipBits=0,
                    numWgtBits=8,
                    compression=0,
                    signMode=1)

        se0 = SynEntry(prefixOffset=0,
                       idxs=np.array([0, 1, 2]),
                       weights=np.array([6, 7, 8]),
                       synFmt=sf)

        se1 = SynEntry(prefixOffset=10,
                       idxs=np.array([0, 1]),
                       weights=np.array([16, 17]),
                       synFmt=sf)

        se2 = SynEntry(prefixOffset=20,
                       idxs=np.array([0, 1, 2]),
                       weights=np.array([26, 27, 28]),
                       synFmt=sf)

        se3 = SynEntry(prefixOffset=30,
                       idxs=np.array([0, 1]),
                       weights=np.array([36, 37]),
                       synFmt=sf)

        sg0 = SynapseGroup(groupId=0, synEntries=[[se0, se1, se2], [se3]])

        sg1 = SynapseGroup(groupId=1, synEntries=[[se0], [se1], [se2, se3]])

        p = Partition(partitionId=0,
                      chipCounter=0,
                      sizeInterleaved=-1,
                      parentLayer=layer)

        p.addSynFmt(sf)

        p.addSynapseGroup(sg0)
        p.addSynapseGroup(sg1)

        layer.addPartition(p)

        numSyn = 10 * 2
        board = N2Board(0)
        c = DnnMapper(board)
        core = board.allocateCores(1, numSyn)[0]

        c._mapSynapses(p, core)  # pylint: disable=protected-access

        if verbose:
            print(c._synGrpMap)

        self.assertEqual(len(c._synGrpMap), 5)
        self.assertEqual(c._synGrpMap[(sg0, 0)], (0, 8))
        self.assertEqual(c._synGrpMap[(sg0, 1)], (8, 2))
        self.assertEqual(c._synGrpMap[(sg1, 0)], (10, 3))
        self.assertEqual(c._synGrpMap[(sg1, 1)], (13, 2))
        self.assertEqual(c._synGrpMap[(sg1, 2)], (15, 5))
Пример #7
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    def test_mapCompartments_1(self):
        """Check mapping of CompartmentGroups without soma traces."""

        verbose = False

        c = CompartmentGroup(cxIds=np.arange(15),
                             biasMant=np.concatenate(
                                 [range(10, 0, -1),
                                  range(5, 0, -1)]),
                             biasExp=np.zeros(15, int),
                             relToAbsDestCxIdxMap=np.array([], int))

        layer = Layer(layerId=0,
                      layerType='',
                      compartmentKwargs={
                          "compartmentCurrentDecay": 4096,
                          "compartmentVoltageDecay": 10,
                          "refractoryDelay": 30,
                          "vThMant": 40,
                          "enableSomaTrace": 0,
                          "threshOp": 0
                      },
                      connectionKwargs={},
                      coreIdMap=np.array([]),
                      multiplicityMap=np.array([]),
                      postLayer=None)

        p = Partition(partitionId=0,
                      chipCounter=0,
                      sizeInterleaved=-1,
                      parentLayer=layer)
        p.addCompartmentGroup(c)

        layer.addPartition(p)

        board = N2Board(0)
        c = DnnMapper(board)
        core = board.allocateCores(1, 0)[0]

        c._mapCompartments(p, core)  # pylint: disable=protected-access

        if verbose:
            c.printCore(core, compartments=True)

        self.assertEqual(len(core.cxCfg.modified), 15)

        self.assertEqual(core.numUpdates.numUpdates, 4)

        self.assertEqual(len(core.cxMetaState.modified), 4)
        self.assertEqual(core.cxMetaState[3].phase2, 2)
        self.assertEqual(core.cxMetaState[3].somaOp2, 0)
        self.assertEqual(core.cxMetaState[3].phase3, 2)
        self.assertEqual(core.cxMetaState[3].somaOp3, 0)
        self.assertEqual(core.cxMetaState[4].phase2, 0)
        self.assertEqual(core.cxMetaState[4].somaOp2, 0)

        self.assertEqual(core.dendriteSharedCfg[0].dsOffset, 1)
        self.assertEqual(core.dendriteSharedCfg[0].dmOffsets, 0)

        self.assertEqual(core.cxProfileCfg[0].refractDelay, 30)
        self.assertEqual(core.cxProfileCfg[0].decayU, 4095)
        self.assertEqual(core.cxProfileCfg[0].decayV, 10)

        self.assertEqual(core.vthProfileCfg[0].staticCfg.vth, 40)
Пример #8
0
    def test_mapSynapses_2(self):
        """Check switching between synFmt for successive synEntries if
        synFmtId does not change."""

        verbose = False

        layer = Layer(layerId=0,
                      layerType='',
                      compartmentKwargs={},
                      connectionKwargs={"weightExponent": 2},
                      coreIdMap=np.array([]),
                      multiplicityMap=np.array([]),
                      postLayer=None)

        sf0 = SynFmt(synFmtId=0,
                     cIdxOffset=0,
                     cIdxMult=2,
                     numIdxBits=6,
                     numSkipBits=0,
                     numWgtBits=8,
                     compression=0,
                     signMode=1)

        sf1 = SynFmt(synFmtId=1,
                     cIdxOffset=0,
                     cIdxMult=2,
                     numIdxBits=7,
                     numSkipBits=0,
                     numWgtBits=8,
                     compression=1,
                     signMode=1)

        se00 = SynEntry(prefixOffset=0,
                        idxs=np.array([0, 1, 2]),
                        weights=np.array([6, 7, 8]),
                        synFmt=sf0)

        se01 = SynEntry(prefixOffset=10,
                        idxs=np.array([0, 1]),
                        weights=np.array([16, 17]),
                        synFmt=sf0)

        se02 = SynEntry(prefixOffset=20,
                        idxs=np.array([0, 1, 2]),
                        weights=np.array([26, 27, 28]),
                        synFmt=sf0)

        se10 = SynEntry(prefixOffset=30,
                        idxs=np.array([0, 1]),
                        weights=np.array([36, 37]),
                        synFmt=sf1)

        sg = SynapseGroup(groupId=0, synEntries=[[se00, se01, se02], [se10]])

        p = Partition(partitionId=0,
                      chipCounter=0,
                      sizeInterleaved=-1,
                      parentLayer=layer)

        p.addSynFmt(sf0)
        p.addSynFmt(sf1)

        p.addSynapseGroup(sg)

        layer.addPartition(p)

        numSyn = 10
        board = N2Board(0)
        c = DnnMapper(board)
        core = board.allocateCores(1, numSyn)[0]

        c._mapSynapses(p, core)  # pylint: disable=protected-access

        if verbose:
            c.printCore(core, synapses=True)

        cIdx = [0, 1, 2, 10, 11, 20, 21, 22, 30, 31]
        wgts = [6, 7, 8, 16, 17, 26, 27, 28, 36, 37]
        synFmtIds = [1, 1, 1, 2, 2, 1, 1, 1, 3, 3]

        for i in range(numSyn):
            self.assertEqual(core.synapses[i].CIdx, cIdx[i])
            self.assertEqual(core.synapses[i].Wgt, wgts[i])
            self.assertEqual(core.synapses[i].synFmtId, synFmtIds[i])
Пример #9
0
    def test_mapSynapses_1(self):
        """Check allocation of synFmts."""

        verbose = False

        layer = Layer(layerId=0,
                      layerType='',
                      compartmentKwargs={},
                      connectionKwargs={"weightExponent": 2},
                      coreIdMap=np.array([]),
                      multiplicityMap=np.array([]),
                      postLayer=None)

        sf0 = SynFmt(synFmtId=0,
                     cIdxOffset=0,
                     cIdxMult=2,
                     numIdxBits=6,
                     numSkipBits=0,
                     numWgtBits=8,
                     compression=0,
                     signMode=2)

        sf1 = SynFmt(synFmtId=1,
                     cIdxOffset=0,
                     cIdxMult=2,
                     numIdxBits=6,
                     numSkipBits=0,
                     numWgtBits=6,
                     compression=0,
                     signMode=3)

        p = Partition(partitionId=0,
                      chipCounter=0,
                      sizeInterleaved=-1,
                      parentLayer=layer)

        p.addSynFmt(sf0)
        p.addSynFmt(sf1)

        layer.addPartition(p)

        board = N2Board(0)
        c = DnnMapper(board)
        core = board.allocateCores(1, 0)[0]

        c._mapSynapses(p, core)  # pylint: disable=protected-access

        if verbose:
            c.printCore(core, synFmts=True)

        # Validate number of synFmts
        self.assertEqual(len(core.synapseFmt.modified), 4)

        # Validate duplication of synFmts by checking unique fanoutTypes
        self.assertEqual(core.synapseFmt[1].fanoutType, 2)
        self.assertEqual(core.synapseFmt[2].fanoutType, 2)
        self.assertEqual(core.synapseFmt[3].fanoutType, 3)
        self.assertEqual(core.synapseFmt[4].fanoutType, 3)

        # Validate mapping of numWgtBits -> wgtBits
        self.assertEqual(core.synapseFmt[1].wgtBits, 7)
        self.assertEqual(core.synapseFmt[3].wgtBits, 6)

        # Validate wgtExp
        self.assertEqual(core.synapseFmt[1].wgtExp, 2)
Пример #10
0
    def test_mapInputAxons_1(self):
        """Check mapping of InputAxonGroup with all input nodes having
        multiplicity 1."""

        verbose = False

        layer = Layer(layerId=0,
                      layerType='',
                      compartmentKwargs={},
                      connectionKwargs={"weightExponent": 2},
                      coreIdMap=np.array([]),
                      multiplicityMap=np.array([]),
                      postLayer=None)

        sf = SynFmt(synFmtId=0,
                    cIdxOffset=0,
                    cIdxMult=2,
                    numIdxBits=6,
                    numSkipBits=0,
                    numWgtBits=8,
                    compression=0,
                    signMode=1)

        se0 = SynEntry(prefixOffset=0,
                       idxs=np.array([0, 1, 2]),
                       weights=np.array([6, 7, 8]),
                       synFmt=sf)

        se1 = SynEntry(prefixOffset=10,
                       idxs=np.array([0, 1]),
                       weights=np.array([16, 17]),
                       synFmt=sf)

        se2 = SynEntry(prefixOffset=20,
                       idxs=np.array([0, 1, 2]),
                       weights=np.array([26, 27, 28]),
                       synFmt=sf)

        se3 = SynEntry(prefixOffset=30,
                       idxs=np.array([0, 1]),
                       weights=np.array([36, 37]),
                       synFmt=sf)

        sg = SynapseGroup(groupId=0,
                          synEntries=[[se0, se1], [se1, se2, se3], [se3]])

        p = Partition(partitionId=0,
                      chipCounter=0,
                      sizeInterleaved=-1,
                      parentLayer=layer)

        p.addSynFmt(sf)

        p.addSynapseGroup(sg)

        iag = InputAxonGroup(srcNodeIds=np.array([10, 11, 12]),
                             multiplicity=np.array([1, 1, 1]),
                             synGroup=sg,
                             cxBase=2,
                             parentPartition=p)

        p.addInputAxonGroup(iag)
        layer.addPartition(p)

        numSyn = 14
        board = N2Board(0)
        c = DnnMapper(board)
        core = board.allocateCores(1, numSyn)[0]

        c._mapSynapses(p, core)  # pylint: disable=protected-access
        c._mapInputAxons(p, core)  # pylint: disable=protected-access

        # Validate input axon
        sMap = core.synapseMap[0]
        self.assertEqual(sMap.synapsePtr, 0)
        self.assertEqual(sMap.synapseLen, [5, 7, 2])
        self.assertEqual(sMap.popSize, 3)
        self.assertEqual(sMap.population32MapEntry.ptr, 0)
        self.assertEqual(sMap.population32MapEntry.length, 3)
        self.assertEqual(sMap.population32MapEntry.cxBase, 2)

        # Validate inAxMap
        self.assertTrue(
            np.array_equal(c._inAxMap[iag.id],
                           np.array([[0, 0, 4], [0, 0, 4], [0, 0, 4]], int)))

        if verbose:
            c.printCore(core, inputAxons=True)
Пример #11
0
    def test_mapInputAxons_4(self):
        """Check mapping of multiple InputAxonGroups."""

        verbose = False

        layer = Layer(layerId=0,
                      layerType='',
                      compartmentKwargs={},
                      connectionKwargs={"weightExponent": 2},
                      coreIdMap=np.array([]),
                      multiplicityMap=np.array([]),
                      postLayer=None)

        sf = SynFmt(synFmtId=0,
                    cIdxOffset=0,
                    cIdxMult=2,
                    numIdxBits=6,
                    numSkipBits=0,
                    numWgtBits=8,
                    compression=0,
                    signMode=1)

        se0 = SynEntry(prefixOffset=0,
                       idxs=np.array([0, 1, 2]),
                       weights=np.array([6, 7, 8]),
                       synFmt=sf)

        se1 = SynEntry(prefixOffset=10,
                       idxs=np.array([0, 1]),
                       weights=np.array([16, 17]),
                       synFmt=sf)

        se2 = SynEntry(prefixOffset=20,
                       idxs=np.array([0, 1, 2]),
                       weights=np.array([26, 27, 28]),
                       synFmt=sf)

        se3 = SynEntry(prefixOffset=30,
                       idxs=np.array([0, 1]),
                       weights=np.array([36, 37]),
                       synFmt=sf)

        sg0 = SynapseGroup(groupId=0,
                           synEntries=[[se0, se1], [se1, se2, se3], [se3]])

        sg1 = SynapseGroup(groupId=1,
                           synEntries=[[se0, se1], [se2], [se1, se2, se3]])

        p = Partition(partitionId=0,
                      chipCounter=0,
                      sizeInterleaved=-1,
                      parentLayer=layer)

        p.addSynFmt(sf)

        p.addSynapseGroup(sg0)
        p.addSynapseGroup(sg1)

        iag0 = InputAxonGroup(srcNodeIds=np.array([10, 11, 12]),
                              multiplicity=np.array([1, 1, 1]),
                              synGroup=sg0,
                              cxBase=1,
                              parentPartition=p)

        iag1 = InputAxonGroup(srcNodeIds=np.array([10, 11, 12]),
                              multiplicity=np.array([1, 2, 1]),
                              synGroup=sg0,
                              cxBase=2,
                              parentPartition=p)

        iag2 = InputAxonGroup(srcNodeIds=np.array([10, 11, 12]),
                              multiplicity=np.array([1, 2, 3]),
                              synGroup=sg1,
                              cxBase=3,
                              parentPartition=p)

        p.addInputAxonGroup(iag0)
        p.addInputAxonGroup(iag1)
        p.addInputAxonGroup(iag2)
        layer.addPartition(p)

        board = N2Board(0)
        c = DnnMapper(board)
        core = board.allocateCores(1, p.numSyn)[0]

        c._mapSynapses(p, core)  # pylint: disable=protected-access
        c._mapInputAxons(p, core)  # pylint: disable=protected-access

        # Validate axons of iag0
        sMapShared = core.synapseMap[0]
        self.assertEqual(sMapShared.synapsePtr, 0)
        self.assertEqual(sMapShared.synapseLen, [5, 7, 2])
        self.assertEqual(sMapShared.popSize, 3)
        self.assertEqual(sMapShared.population32MapEntry.ptr, 0)
        self.assertEqual(sMapShared.population32MapEntry.length, 3)
        self.assertEqual(sMapShared.population32MapEntry.cxBase, 1)

        # Validate axons of iag1
        sMapShared = core.synapseMap[1]
        self.assertEqual(sMapShared.synapsePtr, 0)
        self.assertEqual(sMapShared.synapseLen, [5, 7, 2])
        self.assertEqual(sMapShared.popSize, 3)
        self.assertEqual(sMapShared.population32MapEntry.ptr, 0)
        self.assertEqual(sMapShared.population32MapEntry.length, 3)
        self.assertEqual(sMapShared.population32MapEntry.cxBase, 2)

        sMapDiscrete = core.synapseMap[2]
        self.assertEqual(sMapDiscrete.synapsePtr, 5)
        self.assertEqual(sMapDiscrete.synapseLen, 7)
        self.assertEqual(sMapDiscrete.discreteMapEntry.ptr, 3)
        self.assertEqual(sMapDiscrete.discreteMapEntry.length, 3)
        self.assertEqual(sMapDiscrete.discreteMapEntry.cxBase, 2)

        # Validate axons of iag2
        sMapShared = core.synapseMap[3]
        self.assertEqual(sMapShared.synapsePtr, 14)
        self.assertEqual(sMapShared.synapseLen, [5, 3, 7])
        self.assertEqual(sMapShared.popSize, 3)
        self.assertEqual(sMapShared.population32MapEntry.ptr, 9)
        self.assertEqual(sMapShared.population32MapEntry.length, 3)
        self.assertEqual(sMapShared.population32MapEntry.cxBase, 3)

        sMapDiscrete = core.synapseMap[4]
        self.assertEqual(sMapDiscrete.synapsePtr, 19)
        self.assertEqual(sMapDiscrete.synapseLen, 3)
        self.assertEqual(sMapDiscrete.discreteMapEntry.ptr, 12)
        self.assertEqual(sMapDiscrete.discreteMapEntry.length, 1)
        self.assertEqual(sMapDiscrete.discreteMapEntry.cxBase, 3)

        sMapDiscrete = core.synapseMap[5]
        self.assertEqual(sMapDiscrete.synapsePtr, 22)
        self.assertEqual(sMapDiscrete.synapseLen, 7)
        self.assertEqual(sMapDiscrete.discreteMapEntry.ptr, 15)
        self.assertEqual(sMapDiscrete.discreteMapEntry.length, 3)
        self.assertEqual(sMapDiscrete.discreteMapEntry.cxBase, 3)

        # Validate inAxMap
        self.assertTrue(
            np.array_equal(c._inAxMap[iag0.id],
                           np.array([[0, 0, 4], [0, 0, 4], [0, 0, 4]], int)))
        self.assertTrue(
            np.array_equal(c._inAxMap[iag1.id],
                           np.array([[1, 0, 4], [2, 0, 4], [1, 0, 4]], int)))
        self.assertTrue(
            np.array_equal(c._inAxMap[iag2.id],
                           np.array([[3, 0, 4], [4, 0, 4], [5, 0, 4]], int)))

        if verbose:
            c.printCore(core, inputAxons=True)
Пример #12
0
    def test_init(self):
        """Check that object can be constructed."""

        c = DnnMapper(N2Board(0))
        self.assertTrue(isinstance(c, DnnMapper))