Index

_

__call__() (lava.lib.optimization.problems.cost.Cost method) __del__() (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel method) (lava.magma.core.process.process.AbstractProcess method) (lava.magma.runtime.runtime.Runtime method) __enter__() (lava.magma.core.process.process.AbstractProcess method) (lava.magma.runtime.runtime.Runtime method) __exit__() (lava.magma.core.process.process.AbstractProcess method) (lava.magma.runtime.runtime.Runtime method) __iter__() (lava.lib.dl.bootstrap.routine.LayerMode method) __len__() (lava.lib.dl.netx.hdf5.Network method) __setattr__() (lava.magma.core.model.py.model.AbstractPyProcessModel method) __str__() (lava.lib.dl.netx.hdf5.Network method) (lava.lib.dl.slayer.utils.LearningStat method) (lava.lib.dl.slayer.utils.LearningStats method) (lava.lib.dl.slayer.utils.stats.LearningStat method) (lava.lib.dl.slayer.utils.stats.LearningStats method)

_csp_ports (lava.magma.core.model.py.ports.AbstractPyIOPort attribute) _csp_recv_port (lava.magma.core.model.py.ports.PyRefPort attribute) (lava.magma.core.model.py.ports.PyVarPort attribute) _csp_send_port (lava.magma.core.model.py.ports.PyRefPort attribute) (lava.magma.core.model.py.ports.PyVarPort attribute) _transformer (lava.magma.core.model.py.ports.PyInPort attribute) (lava.magma.core.model.py.ports.PyRefPort attribute) (lava.magma.core.model.py.ports.PyVarPort attribute)

A

a_buf (lava.proc.conv.models.AbstractPyConvModel attribute) (lava.proc.conv.models.PyConvModelFixed attribute) (lava.proc.conv.models.PyConvModelFloat attribute) a_buff (lava.proc.dense.models.AbstractPyDelayDenseModel attribute) (lava.proc.dense.models.AbstractPyDenseModelBitAcc attribute) (lava.proc.dense.models.AbstractPyDenseModelFloat attribute) (lava.proc.dense.models.PyDelayDenseModelBitAcc attribute) (lava.proc.dense.models.PyDelayDenseModelFloat attribute) a_in (lava.lib.dnf.inputs.rate_code_spike_gen.models.RateCodeSpikeGenProcessModel attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.DiscreteVariablesProcess attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelAbstractScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) (lava.proc.io.encoder.AbstractPyDeltaEncoderModel attribute) (lava.proc.io.encoder.PyDeltaEncoderModelDense attribute) (lava.proc.io.encoder.PyDeltaEncoderModelSparse attribute) (lava.proc.io.sink.AbstractPyReceiveModel attribute) (lava.proc.io.sink.PyReceiveModelFixed attribute) (lava.proc.io.sink.PyReceiveModelFloat attribute) (lava.proc.lif.models.AbstractPyLifModelFixed attribute) (lava.proc.lif.models.AbstractPyLifModelFloat attribute) (lava.proc.receiver.models.ReceiverModel attribute) (lava.proc.sdn.models.AbstractDeltaModel attribute) (lava.proc.sdn.models.AbstractSigmaDeltaModel attribute) (lava.proc.sdn.models.AbstractSigmaModel attribute) (lava.proc.sdn.models.PyDeltaModelFixed attribute) (lava.proc.sdn.models.PyDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixed attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected attribute) (lava.proc.sdn.models.PySigmaDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaModelFixed attribute) (lava.proc.sdn.models.PySigmaModelFloat attribute) a_max (lava.proc.io.encoder.AbstractPyDeltaEncoderModel attribute) a_min (lava.proc.io.encoder.AbstractPyDeltaEncoderModel attribute) a_out (lava.lib.dnf.inputs.gauss_pattern.models.GaussPatternProcessModel attribute) (lava.proc.conv.models.AbstractPyConvModel attribute) (lava.proc.conv.models.PyConvModelFixed attribute) (lava.proc.conv.models.PyConvModelFloat attribute) (lava.proc.dense.models.AbstractPyDenseModelBitAcc attribute) (lava.proc.dense.models.AbstractPyDenseModelFloat attribute) (lava.proc.dense.models.PyDelayDenseModelBitAcc attribute) (lava.proc.dense.models.PyDelayDenseModelFloat attribute) (lava.proc.sdn.models.AbstractSigmaModel attribute) a_third_factor_in (lava.magma.core.model.py.neuron.LearningNeuronModel attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFixed attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFloat attribute) AbstractADRF (class in lava.lib.dl.slayer.block.adrf) AbstractADRFIZ (class in lava.lib.dl.slayer.block.adrf_iz) AbstractAffine (class in lava.lib.dl.slayer.block.base) AbstractALIF (class in lava.lib.dl.slayer.block.alif) AbstractAverage (class in lava.lib.dl.slayer.block.base) AbstractBlock (class in lava.lib.dl.bootstrap.block.base) (class in lava.lib.dl.netx.blocks.process) AbstractBuilder (class in lava.magma.compiler.builders.interfaces) AbstractChannelBroker (class in lava.magma.runtime.runtime_services.channel_broker.channel_broker) AbstractChannelBuilder (class in lava.magma.compiler.builders.interfaces) AbstractComputeResource (class in lava.magma.core.resources) AbstractConv (class in lava.lib.dl.slayer.block.base) AbstractConvT (class in lava.lib.dl.slayer.block.base) AbstractCPort (class in lava.magma.runtime.runtime_services.channel_broker.channel_broker) AbstractCProcessModel (class in lava.magma.compiler.compiler) (class in lava.magma.compiler.compiler_graphs) (class in lava.magma.compiler.subcompilers.channel_builders_factory) (class in lava.magma.core.run_configs) AbstractCspPort (class in lava.magma.compiler.channels.interfaces) AbstractCspRecvPort (class in lava.magma.compiler.channels.interfaces) AbstractCspSendPort (class in lava.magma.compiler.channels.interfaces) AbstractCuba (class in lava.lib.dl.slayer.block.cuba) AbstractDataloader (class in lava.proc.io.dataloader) AbstractDeltaModel (class in lava.proc.sdn.models) AbstractDense (class in lava.lib.dl.slayer.block.base) AbstractDstPort (class in lava.magma.core.process.ports.ports) AbstractFlatten (class in lava.lib.dl.slayer.block.base) AbstractInput (class in lava.lib.dl.slayer.block.base) AbstractIOPort (class in lava.magma.core.process.ports.ports) AbstractKWTA (class in lava.lib.dl.slayer.block.base) AbstractLearningConnection (class in lava.magma.core.model.py.connection) AbstractLearningRuleApplier (class in lava.magma.core.learning.learning_rule_applier) AbstractLIF (class in lava.proc.lif.process) AbstractLoihiHWRunCfg (class in lava.magma.core.run_configs) AbstractLoihiRunCfg (class in lava.magma.core.run_configs) AbstractLoihiSimRunCfg (class in lava.magma.core.run_configs) AbstractNcProcessModel (class in lava.magma.compiler.compiler) (class in lava.magma.compiler.compiler_graphs) (class in lava.magma.compiler.subcompilers.channel_builders_factory) (class in lava.magma.compiler.subcompilers.py.pyproc_compiler) (class in lava.magma.core.run_configs) AbstractNode (class in lava.magma.core.resources) AbstractOperation (class in lava.lib.dnf.operations.operations) AbstractPeripheralResource (class in lava.magma.core.resources) AbstractPool (class in lava.lib.dl.slayer.block.base) AbstractPort (class in lava.magma.core.process.ports.ports) AbstractPortImplementation (class in lava.magma.core.model.interfaces) AbstractProcess (class in lava.magma.core.process.process) AbstractProcessBuilder (class in lava.magma.compiler.builders.interfaces) AbstractProcessMember (class in lava.magma.core.process.interfaces) AbstractProcessModel (class in lava.magma.core.model.model) AbstractProcGroupDiGraphs (class in lava.magma.compiler.compiler_graphs) AbstractPyBlockModel (class in lava.lib.dl.netx.blocks.models) AbstractPyConvModel (class in lava.proc.conv.models) AbstractPyDataloaderModel (class in lava.proc.io.dataloader) AbstractPyDelayDenseModel (class in lava.proc.dense.models) AbstractPyDeltaEncoderModel (class in lava.proc.io.encoder) AbstractPyDenseModelBitAcc (class in lava.proc.dense.models) AbstractPyDenseModelFloat (class in lava.proc.dense.models) AbstractPyIOPort (class in lava.magma.core.model.py.ports) AbstractPyLifModelFixed (class in lava.proc.lif.models) AbstractPyLifModelFloat (class in lava.proc.lif.models) AbstractPyPort (class in lava.magma.core.model.py.ports) AbstractPyProcessModel (class in lava.magma.core.model.py.model) AbstractPyRead (class in lava.proc.io.sink) AbstractPyReceiveModel (class in lava.proc.io.sink) AbstractPyReset (class in lava.proc.io.reset) AbstractPyRingBuffer (class in lava.proc.io.source) AbstractPySpikeDataloaderModel (class in lava.proc.io.dataloader) AbstractPyStateDataloaderModel (class in lava.proc.io.dataloader) AbstractRandomGenerator (class in lava.magma.core.learning.random)

AbstractRecurrent (class in lava.lib.dl.slayer.block.base) AbstractReduceOp (class in lava.magma.core.process.ports.reduce_ops) AbstractResidual (class in lava.lib.dl.slayer.block.base) AbstractResource (class in lava.magma.core.resources) AbstractRF (class in lava.lib.dl.slayer.block.rf) AbstractRFIz (class in lava.lib.dl.slayer.block.rf_iz) AbstractRunCondition (class in lava.magma.core.run_conditions) AbstractRuntimeService (class in lava.magma.runtime.runtime_services.interfaces) AbstractRVPort (class in lava.magma.core.process.ports.ports) AbstractScif (class in lava.lib.optimization.solvers.generic.scif.process) AbstractSDRelu (class in lava.lib.dl.slayer.block.sigma_delta) AbstractShapeHandler (class in lava.lib.dnf.operations.shape_handlers) AbstractSigmaDeltaModel (class in lava.proc.sdn.models) AbstractSigmaModel (class in lava.proc.sdn.models) AbstractSrcPort (class in lava.magma.core.process.ports.ports) AbstractSubCompiler (class in lava.magma.compiler.subcompilers.interfaces) AbstractSubProcessModel (class in lava.magma.core.model.sub.model) AbstractSyncProtocol (class in lava.magma.core.sync.protocol) AbstractTimeDecimation (class in lava.lib.dl.slayer.block.base) AbstractTransformer (class in lava.magma.core.model.py.ports) AbstractUnpool (class in lava.lib.dl.slayer.block.base) AbstractVarModel (class in lava.magma.compiler.var_model) AbstractVirtualPort (class in lava.magma.core.process.ports.ports) accuracy (lava.lib.dl.slayer.utils.LearningStat property) (lava.lib.dl.slayer.utils.stats.LearningStat property) accuracy_log (lava.lib.dl.slayer.utils.LearningStat attribute) (lava.lib.dl.slayer.utils.stats.LearningStat attribute) acq_func_config (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) acq_opt_config (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) act (lava.proc.io.encoder.AbstractPyDeltaEncoderModel attribute) (lava.proc.sdn.models.AbstractDeltaModel attribute) (lava.proc.sdn.models.AbstractSigmaDeltaModel attribute) (lava.proc.sdn.models.PyDeltaModelFixed attribute) (lava.proc.sdn.models.PyDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixed attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected attribute) (lava.proc.sdn.models.PySigmaDeltaModelFloat attribute) activation_dynamics() (lava.proc.sdn.models.AbstractSigmaDeltaModel method) ActivationMode (class in lava.proc.sdn.process) active_product_series (lava.magma.core.learning.learning_rule.LoihiLearningRule property) active_traces (lava.magma.core.learning.learning_rule.LoihiLearningRule property) active_traces_per_dependency (lava.magma.core.learning.learning_rule.LoihiLearningRule property) (lava.magma.core.learning.product_series.ProductSeries attribute) (lava.magma.core.learning.product_series.ProductSeries property) actors (lava.magma.runtime.message_infrastructure.message_infrastructure_interface.MessageInfrastructureInterface property) (lava.magma.runtime.message_infrastructure.multiprocessing.MultiProcessing property) (lava.magma.runtime.message_infrastructure.nx.NxBoardMsgInterface property) ActorType (class in lava.magma.core.process.message_interface_enum) add_csp_port_mapping() (lava.magma.compiler.builders.py_builder.PyProcessBuilder method) add_dst_port() (lava.magma.compiler.subcompilers.channel_map_updater.ChannelMapUpdater method) add_dst_ports() (lava.magma.compiler.subcompilers.channel_map_updater.ChannelMapUpdater method) add_members() (lava.magma.core.process.process.Collection method) add_port_pair() (lava.magma.compiler.subcompilers.channel_map_updater.ChannelMapUpdater method) add_port_pairs() (lava.magma.compiler.subcompilers.channel_map_updater.ChannelMapUpdater method) add_ports_for_polling() (lava.magma.core.model.py.model.AbstractPyProcessModel method) (lava.magma.core.model.py.model.PyAsyncProcessModel method) (lava.magma.core.model.py.model.PyLoihiProcessModel method) add_process() (lava.magma.compiler.node.Node method) (lava.magma.core.sync.domain.SyncDomain method) add_src_port() (lava.magma.compiler.subcompilers.channel_map_updater.ChannelMapUpdater method) add_src_ports() (lava.magma.compiler.subcompilers.channel_map_updater.ChannelMapUpdater method) ADD_WITH_SATURATION (lava.magma.core.learning.constants.GradedSpikeCfg attribute) ADD_WITHOUT_SATURATION (lava.magma.core.learning.constants.GradedSpikeCfg attribute) added_input (lava.lib.optimization.solvers.generic.hierarchical_processes.NEBMAbstract attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.SimulatedAnnealingAbstract attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.SimulatedAnnealingLocalAbstract attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.StochasticIntegrateAndFire attribute) Addition (class in lava.magma.core.learning.symbolic_equation) address (lava.magma.compiler.var_model.LoihiVarModel attribute) adjacency_matrix (lava.lib.optimization.utils.generators.mis.MISProblem property) advance() (lava.magma.core.learning.random.AbstractRandomGenerator method) (lava.magma.core.learning.random.ConnVarRandom method) (lava.magma.core.learning.random.TraceRandom method) advance_to_time_step() (lava.magma.core.model.py.model.PyLoihiProcessModel method) (lava.magma.core.model.py.ports.PyOutPort method) Affine (class in lava.lib.dl.bootstrap.block.cuba) (class in lava.lib.dl.slayer.block.cuba) (class in lava.lib.dl.slayer.block.rf) (class in lava.lib.dl.slayer.block.rf_iz) alias() (lava.magma.core.process.variable.Var method) alloc_dims (lava.magma.compiler.var_model.ConvNeuronVarModel attribute) amplitude (lava.lib.dnf.inputs.gauss_pattern.process.GaussPattern property) anim() (lava.lib.dl.slayer.io.Event method) AnnealingNcModel (class in lava.lib.optimization.solvers.generic.solver) annotate_digraph_by_degree() (lava.magma.compiler.compiler_graphs.DiGraphBase method) annotate_folded_view() (in module lava.magma.compiler.compiler_graphs) AnnSampler (class in lava.lib.dl.bootstrap.ann_sampler) append() (lava.lib.dl.bootstrap.ann_sampler.AnnSampler method) (lava.lib.dl.slayer.loss.SparsityEnforcer method) (lava.magma.compiler.node.NodeConfig method) (lava.magma.core.learning.symbolic_equation.SymbolList method) apply() (lava.magma.core.learning.learning_rule_applier.AbstractLearningRuleApplier method) (lava.magma.core.learning.learning_rule_applier.LearningRuleApplierBitApprox method) (lava.magma.core.learning.learning_rule_applier.LearningRuleApplierFloat method) apply_mask() (in module lava.magma.core.learning.utils) arithmetic (lava.lib.optimization.problems.constraints.Constraints property) ArithmeticConstraints (class in lava.lib.optimization.problems.constraints) assert_configured() (lava.lib.dnf.operations.shape_handlers.AbstractShapeHandler method) assign_runtime_to_all_processes() (lava.magma.compiler.executable.Executable method) Assistant (class in lava.lib.dl.slayer.utils) (class in lava.lib.dl.slayer.utils.assistant) AsyncProtocol (class in lava.magma.core.sync.protocols.async_protocol) AsyncPyRuntimeService (class in lava.magma.runtime.runtime_services.runtime_service) AsyncPyRuntimeService.PMResponse (class in lava.magma.runtime.runtime_services.runtime_service) augmented_terms (lava.lib.optimization.problems.cost.Cost property) (lava.lib.optimization.solvers.generic.dataclasses.ProximalGradientMinimizer attribute) AugmentedTermsProcess (class in lava.lib.optimization.solvers.generic.hierarchical_processes) Average (class in lava.lib.dl.slayer.block.adrf) (class in lava.lib.dl.slayer.block.adrf_iz) (class in lava.lib.dl.slayer.block.alif) (class in lava.lib.dl.slayer.block.cuba) (class in lava.lib.dl.slayer.block.rf) (class in lava.lib.dl.slayer.block.rf_iz) (class in lava.lib.dl.slayer.block.sigma_delta) average_block() (lava.lib.dl.slayer.auto.SequentialNetwork method) axon (lava.magma.compiler.var_model.SpikeEncoder attribute) AxonEncoder (class in lava.magma.compiler.var_model)

B

backend (lava.lib.optimization.solvers.generic.solver.SolverConfig attribute) backward() (lava.lib.dl.slayer.spike.complex.Spike static method) (lava.lib.dl.slayer.spike.Spike static method) (lava.lib.dl.slayer.spike.spike.Spike static method) (lava.lib.dl.slayer.utils.int_utils.Q2Zero static method) base (lava.magma.compiler.var_model.ByteEncoder attribute) (lava.magma.core.learning.symbolic_equation.Literal property) base_proc (lava.magma.compiler.compiler_graphs.ProcGroupDiGraphs property) BaseObjectiveFunction (class in lava.lib.optimization.problems.bayesian.processes) BayesianOptimizer (class in lava.lib.optimization.solvers.bayesian.processes) BayesianSolver (class in lava.lib.optimization.solvers.bayesian.solver) best_accuracy (lava.lib.dl.slayer.utils.LearningStat attribute) (lava.lib.dl.slayer.utils.stats.LearningStat attribute) best_cost (lava.lib.optimization.solvers.generic.solver.SolverReport attribute) best_loss (lava.lib.dl.slayer.utils.LearningStat attribute) (lava.lib.dl.slayer.utils.stats.LearningStat attribute) best_solution (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD attribute) best_state (lava.lib.optimization.solvers.generic.solver.SolverReport attribute) best_timestep (lava.lib.optimization.solvers.generic.solver.SolverReport attribute) bias (lava.lib.dl.slayer.neuron.norm.MeanOnlyBatchNorm property) (lava.lib.dl.slayer.neuron.norm.WgtScaleBatchNorm property) (lava.proc.sdn.models.AbstractSigmaDeltaModel attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixed attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected attribute) (lava.proc.sdn.models.PySigmaDeltaModelFloat attribute)

bias_exp (lava.proc.lif.models.AbstractPyLifModelFixed attribute) (lava.proc.lif.models.AbstractPyLifModelFloat attribute) bias_mant (lava.proc.lif.models.AbstractPyLifModelFixed attribute) (lava.proc.lif.models.AbstractPyLifModelFloat attribute) BINARY_SPIKE (lava.magma.core.model.spike_type.SpikeType attribute) block (lava.lib.dl.netx.blocks.process.AbstractBlock property) border_types (lava.lib.dnf.operations.operations.Convolution property) BorderType (class in lava.lib.dnf.operations.enums) bounds (lava.lib.optimization.problems.variables.ContinuousVariables property) BracketExpression (class in lava.magma.core.learning.symbolic_equation) build() (lava.magma.compiler.builders.channel_builder.ChannelBuilderMp method) (lava.magma.compiler.builders.channel_builder.ChannelBuilderNx method) (lava.magma.compiler.builders.channel_builder.ChannelBuilderPyNc method) (lava.magma.compiler.builders.channel_builder.RuntimeChannelBuilderMp method) (lava.magma.compiler.builders.channel_builder.ServiceChannelBuilderMp method) (lava.magma.compiler.builders.interfaces.AbstractBuilder method) (lava.magma.compiler.builders.py_builder.PyProcessBuilder method) (lava.magma.compiler.builders.runtimeservice_builder.RuntimeServiceBuilder method) build_actor() (lava.magma.runtime.message_infrastructure.message_infrastructure_interface.MessageInfrastructureInterface method) (lava.magma.runtime.message_infrastructure.multiprocessing.MultiProcessing method) (lava.magma.runtime.message_infrastructure.nx.NxBoardMsgInterface method) ByteEncoder (class in lava.magma.compiler.var_model)

C

C (lava.magma.compiler.compiler_graphs.ProcessModelTypes attribute) C_C (lava.magma.compiler.utils.LoihiConnectedPortType attribute) C_NC (lava.magma.compiler.utils.LoihiConnectedPortType attribute) C_PY (lava.magma.compiler.utils.LoihiConnectedPortType attribute) calc_act() (lava.proc.dense.models.AbstractPyDelayDenseModel method) CallbackFx (class in lava.magma.core.callback_fx) CC (lava.magma.compiler.channels.interfaces.ChannelType attribute) changed (lava.lib.dnf.inputs.gauss_pattern.models.GaussPatternProcessModel attribute) Channel (class in lava.magma.compiler.channels.interfaces) (class in lava.magma.runtime.runtime_services.channel_broker.channel_broker) channel_builders (lava.magma.compiler.executable.Executable attribute) channel_class() (lava.magma.runtime.message_infrastructure.message_infrastructure_interface.MessageInfrastructureInterface method) (lava.magma.runtime.message_infrastructure.multiprocessing.MultiProcessing method) (lava.magma.runtime.message_infrastructure.nx.NxBoardMsgInterface method) channel_map (lava.magma.compiler.subcompilers.channel_map_updater.ChannelMapUpdater property) channel_type (lava.magma.compiler.builders.channel_builder.ChannelBuilderMp attribute) (lava.magma.compiler.builders.channel_builder.ChannelBuilderNx attribute) (lava.magma.compiler.builders.channel_builder.RuntimeChannelBuilderMp attribute) (lava.magma.compiler.builders.channel_builder.ServiceChannelBuilderMp attribute) ChannelBroker (class in lava.magma.runtime.runtime_services.channel_broker.channel_broker) ChannelBuilderMp (class in lava.magma.compiler.builders.channel_builder) ChannelBuilderNx (class in lava.magma.compiler.builders.channel_builder) ChannelBuilderPyNc (class in lava.magma.compiler.builders.channel_builder) ChannelBuildersFactory (class in lava.magma.compiler.subcompilers.channel_builders_factory) ChannelMap (class in lava.magma.compiler.channel_map) ChannelMapUpdater (class in lava.magma.compiler.subcompilers.channel_map_updater) ChannelType (class in lava.magma.compiler.channels.interfaces) check_all_vars_and_ports_set() (lava.magma.compiler.builders.py_builder.PyProcessBuilder method) check_for_pause_cmd() (lava.magma.core.model.py.model.PyAsyncProcessModel method) check_for_stop_cmd() (lava.magma.core.model.py.model.PyAsyncProcessModel method) check_lava_py_types() (lava.magma.compiler.builders.py_builder.PyProcessBuilder method) chip (lava.magma.compiler.var_model.SpikeEncoder attribute) chip_id (lava.magma.compiler.subcompilers.address.NcLogicalAddress attribute) (lava.magma.compiler.subcompilers.address.NcVirtualAddress attribute) ChipEncoder (class in lava.magma.compiler.var_model) ChipIdx (in module lava.magma.compiler.var_model) CHWN (lava.proc.conv.utils.TensorOrder attribute) CInPort (class in lava.magma.runtime.runtime_services.channel_broker.channel_broker) CIRCULAR (lava.lib.dnf.operations.enums.BorderType attribute) clamp() (lava.lib.dl.slayer.axon.Delay method) (lava.lib.dl.slayer.axon.delay.Delay method) (lava.lib.dl.slayer.axon.Delta method) (lava.lib.dl.slayer.axon.delta.Delta method) (lava.lib.dl.slayer.block.base.AbstractKWTA method) (lava.lib.dl.slayer.neuron.adrf.Neuron method) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron method) (lava.lib.dl.slayer.neuron.alif.Neuron method) (lava.lib.dl.slayer.neuron.base.Neuron method) (lava.lib.dl.slayer.neuron.cuba.Neuron method) (lava.lib.dl.slayer.neuron.rf.Neuron method) (lava.lib.dl.slayer.neuron.rf_iz.Neuron method) clamp_precision() (lava.proc.conv.models.AbstractPyConvModel method) (lava.proc.conv.models.PyConvModelFixed method) classifier (lava.lib.dl.slayer.utils.Assistant attribute) (lava.lib.dl.slayer.utils.assistant.Assistant attribute) clear() (lava.lib.dl.bootstrap.ann_sampler.AnnSampler method) (lava.lib.dl.slayer.loss.SparsityEnforcer method) clip_weights() (in module lava.utils.weightutils) cls (lava.magma.core.model.py.type.LavaPyType attribute) CNc (lava.magma.compiler.channels.interfaces.ChannelType attribute) cnstr_intg (lava.lib.optimization.solvers.generic.scif.models.PyModelAbstractScifFixed attribute) coefficients (lava.lib.optimization.problems.coefficients.CoefficientTensorsMixin property) coefficients_2nd_order (lava.lib.optimization.solvers.generic.dataclasses.CostMinimizer attribute) CoefficientTensorsMixin (class in lava.lib.optimization.problems.coefficients) collapse_cycles_to_nodes() (lava.magma.compiler.compiler_graphs.DiGraphBase method) collapse_subgraph_to_node() (lava.magma.compiler.compiler_graphs.DiGraphBase method) Collection (class in lava.magma.core.process.process) compile() (lava.magma.compiler.compiler.Compiler method) (lava.magma.compiler.subcompilers.interfaces.AbstractSubCompiler method) (lava.magma.compiler.subcompilers.interfaces.SubCompiler method) (lava.magma.compiler.subcompilers.py.pyproc_compiler.PyProcCompiler method) (lava.magma.core.process.process.AbstractProcess method) CompiledResource (class in lava.magma.compiler.builders.interfaces) Compiler (class in lava.magma.compiler.compiler) complex (lava.lib.dl.slayer.synapse.complex.Conv attribute) (lava.lib.dl.slayer.synapse.complex.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.complex.Dense attribute) (lava.lib.dl.slayer.synapse.complex.Pool attribute) (lava.lib.dl.slayer.synapse.complex.Unpool attribute) (lava.lib.dl.slayer.synapse.Conv attribute) (lava.lib.dl.slayer.synapse.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.Dense attribute) (lava.lib.dl.slayer.synapse.layer.Conv attribute) (lava.lib.dl.slayer.synapse.layer.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.layer.Dense attribute) (lava.lib.dl.slayer.synapse.layer.GenericLayer attribute) (lava.lib.dl.slayer.synapse.layer.Pool attribute) (lava.lib.dl.slayer.synapse.layer.Unpool attribute) (lava.lib.dl.slayer.synapse.Pool attribute) (lava.lib.dl.slayer.synapse.Unpool attribute) ComplexDense (class in lava.lib.dl.netx.blocks.process) ComplexInput (class in lava.lib.dl.netx.blocks.process) ComplexLayer (class in lava.lib.dl.slayer.synapse.complex) Compression (class in lava.proc.io.encoder) compute_spike_rates() (in module lava.lib.dnf.utils.plotting) compute_weights() (lava.lib.dnf.operations.operations.AbstractOperation method) concat_with() (lava.magma.core.process.ports.ports.AbstractPort method) ConcatIndexError ConcatPort (class in lava.magma.core.process.ports.ports) ConcatShapeError confidence() (lava.lib.dl.slayer.classifier.MovingWindow method) (lava.lib.dl.slayer.classifier.Rate static method) configure() (lava.lib.dnf.operations.operations.AbstractOperation method) (lava.lib.dnf.operations.shape_handlers.AbstractShapeHandler method) connect() (in module lava.lib.dnf.connect.connect) (lava.magma.core.process.ports.ports.AbstractVirtualPort method) (lava.magma.core.process.ports.ports.InPort method) (lava.magma.core.process.ports.ports.OutPort method) (lava.magma.core.process.ports.ports.RefPort method) (lava.magma.core.process.ports.ports.VarPort method) connect_from() (lava.magma.core.process.ports.ports.InPort method) (lava.magma.core.process.ports.ports.OutPort method) (lava.magma.core.process.ports.ports.RefPort method) (lava.magma.core.process.ports.ports.VarPort method) connect_var() (lava.magma.core.process.ports.ports.RefPort method) (lava.proc.io.dataloader.StateDataloader method) (lava.proc.io.reset.Reset method) (lava.proc.io.sink.Read method) connected_port_encoding_type (lava.magma.compiler.utils.LoihiIOPortInitializer attribute) connected_port_type (lava.magma.compiler.utils.LoihiIOPortInitializer attribute) connection_config (lava.magma.compiler.utils.LoihiPyInPortInitializer attribute) ConnVarRandom (class in lava.magma.core.learning.random) const (lava.magma.core.learning.product_series.Factor property) constraint_biases_eq (lava.lib.optimization.problems.problems.QP property) constraint_biases_ineq (lava.lib.optimization.problems.problems.QP property) constraint_hyperplanes_eq (lava.lib.optimization.problems.problems.QP property) constraint_hyperplanes_ineq (lava.lib.optimization.problems.problems.QP property) ConstraintEnforcing (class in lava.lib.optimization.solvers.generic.dataclasses) Constraints (class in lava.lib.optimization.problems.constraints) constraints (lava.lib.optimization.problems.constraints.DiscreteConstraints property) (lava.lib.optimization.problems.problems.CSP property) (lava.lib.optimization.problems.problems.IQP property) (lava.lib.optimization.problems.problems.OptimizationProblem property) (lava.lib.optimization.problems.problems.QP property) (lava.lib.optimization.problems.problems.QUBO property) continuous (lava.lib.optimization.problems.variables.Variables property) (lava.lib.optimization.solvers.generic.dataclasses.ConstraintEnforcing attribute) (lava.lib.optimization.solvers.generic.dataclasses.VariablesImplementation attribute)

ContinuousConstraintsModel (class in lava.lib.optimization.solvers.generic.sub_process_models) ContinuousConstraintsProcess (class in lava.lib.optimization.solvers.generic.hierarchical_processes) ContinuousVariables (class in lava.lib.optimization.problems.variables) ContinuousVariablesModel (class in lava.lib.optimization.solvers.generic.sub_process_models) ContinuousVariablesProcess (class in lava.lib.optimization.solvers.generic.hierarchical_processes) Conv (class in lava.lib.dl.bootstrap.block.cuba) (class in lava.lib.dl.netx.blocks.process) (class in lava.lib.dl.slayer.block.adrf) (class in lava.lib.dl.slayer.block.adrf_iz) (class in lava.lib.dl.slayer.block.alif) (class in lava.lib.dl.slayer.block.cuba) (class in lava.lib.dl.slayer.block.rf) (class in lava.lib.dl.slayer.block.rf_iz) (class in lava.lib.dl.slayer.block.sigma_delta) (class in lava.lib.dl.slayer.synapse) (class in lava.lib.dl.slayer.synapse.complex) (class in lava.lib.dl.slayer.synapse.layer) (class in lava.proc.conv.process) conv() (in module lava.lib.dl.slayer.utils.filter) (in module lava.proc.conv.utils) conv_scipy() (in module lava.proc.conv.utils) conv_to_sparse() (in module lava.proc.conv.utils) convert_to_procid_graph() (lava.magma.compiler.compiler_graphs.ProcDiGraph method) ConvInVarModel (class in lava.magma.compiler.var_model) ConvNeuronVarModel (class in lava.magma.compiler.var_model) Convolution (class in lava.lib.dnf.operations.operations) ConvT (class in lava.lib.dl.slayer.block.adrf) (class in lava.lib.dl.slayer.block.adrf_iz) (class in lava.lib.dl.slayer.block.alif) (class in lava.lib.dl.slayer.block.cuba) (class in lava.lib.dl.slayer.block.rf) (class in lava.lib.dl.slayer.block.rf_iz) (class in lava.lib.dl.slayer.block.sigma_delta) ConvTranspose (class in lava.lib.dl.slayer.synapse) (class in lava.lib.dl.slayer.synapse.complex) (class in lava.lib.dl.slayer.synapse.layer) core (lava.magma.compiler.var_model.SpikeEncoder attribute) core_id (lava.magma.compiler.subcompilers.address.NcLogicalAddress attribute) (lava.magma.compiler.subcompilers.address.NcVirtualAddress attribute) CoreEncoder (class in lava.magma.compiler.var_model) CoreIdx (in module lava.magma.compiler.var_model) corr() (in module lava.lib.dl.slayer.utils.filter) correct_samples (lava.lib.dl.slayer.utils.LearningStat attribute) (lava.lib.dl.slayer.utils.stats.LearningStat attribute) Cost (class in lava.lib.optimization.problems.cost) cost (lava.lib.optimization.problems.problems.CSP property) (lava.lib.optimization.problems.problems.IQP property) (lava.lib.optimization.problems.problems.OptimizationProblem property) (lava.lib.optimization.problems.problems.QP property) (lava.lib.optimization.problems.problems.QUBO property) cost_components (lava.lib.optimization.solvers.generic.hierarchical_processes.CostConvergenceChecker attribute) cost_diagonal (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) cost_first_byte (lava.lib.optimization.solvers.generic.cost_integrator.models.CostIntegratorModel attribute) cost_in (lava.lib.optimization.solvers.generic.cost_integrator.models.CostIntegratorModel attribute) (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel attribute) cost_in_first_byte (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD attribute) cost_in_last_bytes (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD attribute) cost_last_bytes (lava.lib.optimization.solvers.generic.cost_integrator.models.CostIntegratorModel attribute) cost_min_first_byte (lava.lib.optimization.solvers.generic.cost_integrator.models.CostIntegratorModel attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.CostConvergenceChecker attribute) cost_min_last_bytes (lava.lib.optimization.solvers.generic.cost_integrator.models.CostIntegratorModel attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.CostConvergenceChecker attribute) cost_out (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD attribute) cost_out_first_byte (lava.lib.optimization.solvers.generic.cost_integrator.models.CostIntegratorModel attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.CostConvergenceChecker attribute) cost_out_last_bytes (lava.lib.optimization.solvers.generic.cost_integrator.models.CostIntegratorModel attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.CostConvergenceChecker attribute) cost_timeseries (lava.lib.optimization.solvers.generic.solver.SolverReport attribute) CostConvergenceChecker (class in lava.lib.optimization.solvers.generic.hierarchical_processes) CostConvergenceCheckerModel (class in lava.lib.optimization.solvers.generic.sub_process_models) CostIntegrator (class in lava.lib.optimization.solvers.generic.cost_integrator.process) CostIntegratorModel (class in lava.lib.optimization.solvers.generic.cost_integrator.models) CostIntegratorNcModel (class in lava.lib.optimization.solvers.generic.solver) CostMinimizer (class in lava.lib.optimization.solvers.generic.dataclasses) count_log (lava.lib.dl.slayer.utils.Assistant attribute) (lava.lib.dl.slayer.utils.assistant.Assistant attribute) counter (lava.proc.spiker.models.SpikerModel attribute) COutPort (class in lava.magma.runtime.runtime_services.channel_broker.channel_broker) CProcCompiler (class in lava.magma.compiler.compiler) CProcessBuilder (class in lava.magma.compiler.compiler) (class in lava.magma.compiler.compiler_utils) CPU (class in lava.magma.core.resources) CPy (lava.magma.compiler.channels.interfaces.ChannelType attribute) CPyChannel (class in lava.magma.runtime.message_infrastructure.multiprocessing) create() (lava.magma.compiler.subcompilers.py.pyproc_compiler.Offset static method) (lava.magma.runtime.message_infrastructure.factory.MessageInfrastructureFactory static method) create_channel() (lava.magma.runtime.runtime_services.channel_broker.channel_broker.ChannelBroker method) create_conv() (lava.lib.dl.netx.hdf5.Network static method) create_dense() (lava.lib.dl.netx.hdf5.Network static method) create_implicit_var_port() (lava.magma.core.process.ports.ports.RefPort static method) create_input() (lava.lib.dl.netx.hdf5.Network static method) create_port_id() (in module lava.magma.core.process.ports.ports) create_runtime() (lava.magma.core.process.process.AbstractProcess method) create_solver_model() (lava.lib.optimization.solvers.generic.builder.SolverProcessBuilder method) create_solver_process() (lava.lib.optimization.solvers.generic.builder.SolverProcessBuilder method) create_watchdogs() (lava.magma.compiler.builders.channel_builder.WatchdogEnabledMixin method) CRefPort (class in lava.magma.compiler.mapper) CSP (class in lava.lib.optimization.problems.problems) csp_ports (lava.magma.core.model.interfaces.AbstractPortImplementation property) (lava.magma.core.model.py.ports.AbstractPyIOPort property) (lava.magma.core.model.py.ports.AbstractPyPort property) (lava.magma.core.model.py.ports.PyRefPort property) (lava.magma.core.model.py.ports.PyVarPort property) CspRecvPort (class in lava.magma.compiler.channels.pypychannel) CspRecvQueue (class in lava.magma.compiler.channels.pypychannel) CspScif (class in lava.lib.optimization.solvers.generic.scif.process) CspSelector (class in lava.magma.compiler.channels.pypychannel) CspSendPort (class in lava.magma.compiler.channels.pypychannel) cum_error (lava.lib.dl.slayer.axon.Delta attribute) (lava.lib.dl.slayer.axon.delta.Delta attribute) (lava.proc.sdn.models.AbstractDeltaModel attribute) (lava.proc.sdn.models.AbstractSigmaDeltaModel attribute) (lava.proc.sdn.models.PyDeltaModelFixed attribute) (lava.proc.sdn.models.PyDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixed attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected attribute) (lava.proc.sdn.models.PySigmaDeltaModelFloat attribute) CVarModel (class in lava.magma.compiler.var_model) cx_cos_decay (lava.lib.dl.slayer.neuron.adrf.Neuron property) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron property) (lava.lib.dl.slayer.neuron.rf.Neuron property) (lava.lib.dl.slayer.neuron.rf_iz.Neuron property) cx_current_decay (lava.lib.dl.slayer.neuron.alif.Neuron property) (lava.lib.dl.slayer.neuron.cuba.Neuron property) cx_refractory_decay (lava.lib.dl.slayer.neuron.adrf.Neuron property) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron property) (lava.lib.dl.slayer.neuron.alif.Neuron property) cx_sin_decay (lava.lib.dl.slayer.neuron.adrf.Neuron property) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron property) (lava.lib.dl.slayer.neuron.rf.Neuron property) (lava.lib.dl.slayer.neuron.rf_iz.Neuron property) cx_threshold_decay (lava.lib.dl.slayer.neuron.adrf.Neuron property) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron property) (lava.lib.dl.slayer.neuron.alif.Neuron property) cx_voltage_decay (lava.lib.dl.slayer.neuron.alif.Neuron property) (lava.lib.dl.slayer.neuron.cuba.Neuron property)

D

d_type (lava.magma.compiler.channels.interfaces.AbstractCspPort property) (lava.magma.compiler.channels.pypychannel.CspRecvPort property) (lava.magma.compiler.channels.pypychannel.CspSendPort property) (lava.magma.compiler.utils.LoihiVarInitializer attribute) (lava.magma.compiler.utils.PortInitializer attribute) (lava.magma.compiler.utils.VarPortInitializer attribute) (lava.magma.core.model.py.type.LavaPyType attribute) data (lava.proc.io.dataloader.AbstractPySpikeDataloaderModel attribute) (lava.proc.io.dataloader.PySpikeModelFixed attribute) (lava.proc.io.dataloader.PySpikeModelFloat attribute) (lava.proc.io.sink.AbstractPyRead attribute) (lava.proc.io.sink.AbstractPyReceiveModel attribute) (lava.proc.io.sink.PyReadFixed attribute) (lava.proc.io.sink.PyReadFloat attribute) (lava.proc.io.sink.PyReceiveModelFixed attribute) (lava.proc.io.sink.PyReceiveModelFloat attribute) (lava.proc.io.source.AbstractPyRingBuffer attribute) (lava.proc.io.source.PySendModelFixed attribute) (lava.proc.io.source.PySendModelFloat attribute) date_format (lava.magma.core.process.process.LogConfig attribute) dd (lava.magma.core.learning.learning_rule.LoihiLearningRule property) (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) dd_str (lava.magma.core.learning.learning_rule.LoihiLearningRule property) decay (lava.lib.dl.slayer.neuron.adrf.Neuron property) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron property) (lava.lib.dl.slayer.neuron.rf.Neuron property) (lava.lib.dl.slayer.neuron.rf_iz.Neuron property) decimate_exponent (lava.magma.core.learning.learning_rule.LoihiLearningRule property) (lava.magma.core.learning.product_series.Product property) (lava.magma.core.learning.product_series.ProductSeries property) (lava.magma.core.learning.symbolic_equation.Uk property) decode_config (lava.magma.compiler.var_model.NcSpikeIOVarModel attribute) decode_cost() (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel static method) decode_encode_delta_sparse_8() (lava.proc.io.encoder.PyDeltaEncoderModelSparse method) decode_mode (lava.magma.compiler.var_model.DecodeConfig attribute) decode_solution() (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel static method) DecodeConfig (class in lava.magma.compiler.var_model) decompress_convert_save() (lava.utils.dataloader.mnist.MnistDataset static method) Delay (class in lava.lib.dl.slayer.axon) (class in lava.lib.dl.slayer.axon.delay) delay (lava.lib.dl.slayer.axon.Delay attribute) (lava.lib.dl.slayer.axon.delay.Delay attribute) delay() (in module lava.lib.dl.slayer.axon) (in module lava.lib.dl.slayer.axon.delay) DelayDense (class in lava.proc.dense.process) delays (lava.proc.dense.models.AbstractPyDelayDenseModel attribute) (lava.proc.dense.models.PyDelayDenseModelBitAcc attribute) (lava.proc.dense.models.PyDelayDenseModelFloat attribute) Delta (class in lava.lib.dl.slayer.axon) (class in lava.lib.dl.slayer.axon.delta) (class in lava.proc.sdn.process) delta_dynamics() (lava.proc.sdn.models.AbstractDeltaModel method) DELTA_SPARSE_8 (lava.proc.io.encoder.Compression attribute), [1] DeltaEncoder (class in lava.proc.io.encoder) Dense (class in lava.lib.dl.bootstrap.block.cuba) (class in lava.lib.dl.netx.blocks.process) (class in lava.lib.dl.slayer.block.adrf) (class in lava.lib.dl.slayer.block.adrf_iz) (class in lava.lib.dl.slayer.block.alif) (class in lava.lib.dl.slayer.block.cuba) (class in lava.lib.dl.slayer.block.rf) (class in lava.lib.dl.slayer.block.rf_iz) (class in lava.lib.dl.slayer.block.sigma_delta) (class in lava.lib.dl.slayer.synapse) (class in lava.lib.dl.slayer.synapse.complex) (class in lava.lib.dl.slayer.synapse.layer) (class in lava.proc.dense.process) DENSE (lava.proc.io.encoder.Compression attribute), [1] dense_block() (lava.lib.dl.slayer.auto.SequentialNetwork method) Dependency (class in lava.magma.core.learning.symbolic_equation) dependency (lava.magma.core.learning.product_series.Product property) deprecated() (in module lava.utils.system) derivative (lava.lib.dl.slayer.spike.complex.Spike attribute) (lava.lib.dl.slayer.spike.Spike attribute) (lava.lib.dl.slayer.spike.spike.Spike attribute) determine_sign_mode() (in module lava.utils.weightutils) device (lava.lib.dl.slayer.axon.Delta property) (lava.lib.dl.slayer.axon.delta.Delta property) (lava.lib.dl.slayer.neuron.adrf.Neuron property) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron property) (lava.lib.dl.slayer.neuron.alif.Neuron property) (lava.lib.dl.slayer.neuron.base.Neuron property) (lava.lib.dl.slayer.neuron.cuba.Neuron property) (lava.lib.dl.slayer.neuron.rf.Neuron property) (lava.lib.dl.slayer.neuron.rf_iz.Neuron property) (lava.lib.dl.slayer.neuron.sigma_delta.Neuron property) (lava.lib.dl.slayer.utils.Assistant attribute) (lava.lib.dl.slayer.utils.assistant.Assistant attribute)

device_params (lava.lib.dl.slayer.dendrite.Sigma property) (lava.lib.dl.slayer.dendrite.sigma.Sigma property) (lava.lib.dl.slayer.neuron.adrf.Neuron property) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron property) (lava.lib.dl.slayer.neuron.alif.Neuron property) (lava.lib.dl.slayer.neuron.cuba.Neuron property) (lava.lib.dl.slayer.neuron.rf.Neuron property) (lava.lib.dl.slayer.neuron.rf_iz.Neuron property) (lava.lib.dl.slayer.neuron.sigma_delta.Neuron property) diagonal_mask() (in module lava.lib.dl.slayer.utils) (in module lava.lib.dl.slayer.utils.utils) DiGraphBase (class in lava.magma.compiler.compiler_graphs) dilation (lava.lib.dl.slayer.synapse.Conv attribute) (lava.lib.dl.slayer.synapse.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.layer.Conv attribute) (lava.lib.dl.slayer.synapse.layer.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.layer.Pool attribute) (lava.lib.dl.slayer.synapse.layer.Unpool attribute) (lava.lib.dl.slayer.synapse.Pool attribute) (lava.lib.dl.slayer.synapse.Unpool attribute) (lava.proc.conv.models.AbstractPyConvModel attribute) dims (lava.lib.dnf.operations.shape_handlers.FlipShapeHandler property) disable_weight_norm() (lava.lib.dl.slayer.synapse.complex.ComplexLayer method) (lava.lib.dl.slayer.synapse.layer.GenericLayer method) discrete (lava.lib.optimization.problems.constraints.Constraints property) (lava.lib.optimization.problems.variables.Variables property) (lava.lib.optimization.solvers.generic.dataclasses.ConstraintEnforcing attribute) (lava.lib.optimization.solvers.generic.dataclasses.VariablesImplementation attribute) DiscreteConstraints (class in lava.lib.optimization.problems.constraints) DiscreteConstraintsProcess (class in lava.lib.optimization.solvers.generic.hierarchical_processes) DiscreteVariables (class in lava.lib.optimization.problems.variables) DiscreteVariablesModel (class in lava.lib.optimization.solvers.generic.sub_process_models) DiscreteVariablesProcess (class in lava.lib.optimization.solvers.generic.hierarchical_processes) doc_modifier() (in module lava.lib.dl.bootstrap.block.base) domain_sizes (lava.lib.optimization.problems.variables.DiscreteVariables property) domains (lava.lib.optimization.problems.variables.DiscreteVariables property) DONE (lava.magma.runtime.mgmt_token_enums.MGMT_RESPONSE attribute) dotdict (class in lava.lib.dl.slayer.utils) (class in lava.lib.dl.slayer.utils.utils) download_mnist() (lava.utils.dataloader.mnist.MnistDataset static method) Dropout (class in lava.lib.dl.slayer.neuron) (class in lava.lib.dl.slayer.neuron.dropout) dst (lava.magma.compiler.channel_map.PortPair attribute) dst_port (lava.magma.compiler.channels.interfaces.Channel property) (lava.magma.compiler.channels.pypychannel.PyPyChannel property) dst_port_initializer (lava.magma.compiler.builders.channel_builder.ChannelBuilderMp attribute) (lava.magma.compiler.builders.channel_builder.ChannelBuilderNx attribute) (lava.magma.compiler.channel_map.Payload attribute) dst_process (lava.magma.compiler.builders.channel_builder.ChannelBuilderMp attribute) (lava.magma.compiler.builders.channel_builder.ChannelBuilderNx attribute) (lava.magma.compiler.builders.channel_builder.RuntimeChannelBuilderMp attribute) (lava.magma.compiler.builders.channel_builder.ServiceChannelBuilderMp attribute) dt (lava.magma.core.learning.learning_rule.LoihiLearningRule property) (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) dt_str (lava.magma.core.learning.learning_rule.LoihiLearningRule property) dtype (lava.magma.compiler.channels.pypychannel.Proto attribute) du (lava.proc.lif.models.AbstractPyLifModelFixed attribute) (lava.proc.lif.models.AbstractPyLifModelFloat attribute) DualInputFunction (class in lava.lib.optimization.problems.bayesian.processes) DuplicateConnectionError dv (lava.proc.lif.models.AbstractPyLifModelFixed attribute) (lava.proc.lif.models.AbstractPyLifModelFloat attribute) DVS (class in lava.magma.core.resources) dw (lava.magma.core.learning.learning_rule.LoihiLearningRule property) (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) dw_str (lava.magma.core.learning.learning_rule.LoihiLearningRule property) dynamics() (lava.lib.dl.slayer.neuron.adrf.Neuron method) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron method) (lava.lib.dl.slayer.neuron.alif.Neuron method) (lava.lib.dl.slayer.neuron.cuba.Neuron method) (lava.lib.dl.slayer.neuron.rf.Neuron method) (lava.lib.dl.slayer.neuron.rf_iz.Neuron method) (lava.proc.sdn.models.AbstractSigmaDeltaModel method)

E

ECPU (class in lava.magma.core.resources) EMBEDDED_ALLOCATION_ORDER (class in lava.magma.compiler.subcompilers.constants) embedded_core (lava.magma.compiler.utils.LoihiCInPortInitializer attribute) embedded_counters (lava.magma.compiler.utils.LoihiCInPortInitializer attribute) EMBEDDED_INIT (lava.magma.runtime.runtime_services.enums.NxSdkPhase attribute) EMBEDDED_MGMT (lava.magma.runtime.runtime_services.enums.NxSdkPhase attribute) EMBEDDED_PRELEARN_MGMT (lava.magma.runtime.runtime_services.enums.NxSdkPhase attribute) EMBEDDED_REMOTE_MGMT (lava.magma.runtime.runtime_services.enums.NxSdkPhase attribute) EMBEDDED_SPIKING (lava.magma.runtime.runtime_services.enums.NxSdkPhase attribute) EMBEDDED_USER_CMD (lava.magma.runtime.runtime_services.enums.NxSdkPhase attribute) EmbeddedSnip (class in lava.magma.runtime.runtime_services.channel_broker.channel_broker) enable_weight_norm() (lava.lib.dl.slayer.synapse.complex.ComplexLayer method) (lava.lib.dl.slayer.synapse.layer.GenericLayer method) encode_1d_spikes() (in module lava.lib.dl.slayer.io) encode_2d_spikes() (in module lava.lib.dl.slayer.io) encode_delta() (lava.proc.io.encoder.AbstractPyDeltaEncoderModel method) encode_delta_sparse_8() (lava.proc.io.encoder.PyDeltaEncoderModelSparse method) encode_np_spikes() (in module lava.lib.dl.slayer.io) encode_packed_4() (lava.proc.io.encoder.PyDeltaEncoderModelSparse method) encode_sparse() (lava.proc.io.encoder.PyDeltaEncoderModelSparse method) enum_equal() (in module lava.magma.runtime.mgmt_token_enums) enum_to_np() (in module lava.magma.runtime.mgmt_token_enums) eps (lava.lib.dl.slayer.neuron.norm.WgtScaleBatchNorm attribute) equality (lava.lib.optimization.problems.constraints.ArithmeticConstraints property) EqualityConstraints (class in lava.lib.optimization.problems.constraints) error (lava.lib.dl.slayer.utils.Assistant attribute) (lava.lib.dl.slayer.utils.assistant.Assistant attribute) ERROR (lava.magma.runtime.mgmt_token_enums.MGMT_RESPONSE attribute) error (lava.proc.sdn.models.AbstractDeltaModel attribute) (lava.proc.sdn.models.AbstractSigmaDeltaModel attribute) (lava.proc.sdn.models.PyDeltaModelFixed attribute) (lava.proc.sdn.models.PyDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixed attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected attribute) (lava.proc.sdn.models.PySigmaDeltaModelFloat attribute) error_state (lava.lib.dl.slayer.axon.Delta attribute) (lava.lib.dl.slayer.axon.delta.Delta attribute) est_config (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute)

ethernet_chip_id (lava.magma.compiler.var_model.NcSpikeIOVarModel attribute) ethernet_chip_idx (lava.magma.compiler.var_model.NcSpikeIOVarModel attribute) evaluate() (lava.lib.optimization.problems.coefficients.CoefficientTensorsMixin method) evaluate_constraint_violations() (lava.lib.optimization.problems.problems.QP method) evaluate_constraints() (lava.lib.optimization.problems.problems.IQP method) evaluate_cost() (lava.lib.optimization.problems.problems.IQP method) (lava.lib.optimization.problems.problems.QP method) (lava.lib.optimization.problems.problems.QUBO method) Event (class in lava.lib.dl.slayer.io) event_rate() (in module lava.lib.dl.slayer.utils.utils) exception (lava.magma.runtime.message_infrastructure.multiprocessing.SystemProcess property) EXCITATORY (lava.utils.weightutils.SignMode attribute) exclude_nodes() (lava.magma.core.run_configs.RunConfig method) Executable (class in lava.magma.compiler.executable) ExpandAlongDiagonal (class in lava.lib.dnf.operations.operations) ExpandAlongDiagonalShapeHandler (class in lava.lib.dnf.operations.shape_handlers) ExpandDims (class in lava.lib.dnf.operations.operations) ExpandDimsShapeHandler (class in lava.lib.dnf.operations.shape_handlers) exponent (lava.magma.core.learning.symbolic_equation.Literal property) export_hdf5() (lava.lib.dl.netx.blocks.process.ComplexDense method) (lava.lib.dl.netx.blocks.process.ComplexInput method) (lava.lib.dl.netx.blocks.process.Conv method) (lava.lib.dl.netx.blocks.process.Dense method) (lava.lib.dl.netx.blocks.process.Input method) (lava.lib.dl.slayer.block.base.AbstractAffine method) (lava.lib.dl.slayer.block.base.AbstractAverage method) (lava.lib.dl.slayer.block.base.AbstractConv method) (lava.lib.dl.slayer.block.base.AbstractConvT method) (lava.lib.dl.slayer.block.base.AbstractDense method) (lava.lib.dl.slayer.block.base.AbstractFlatten method) (lava.lib.dl.slayer.block.base.AbstractInput method) (lava.lib.dl.slayer.block.base.AbstractKWTA method) (lava.lib.dl.slayer.block.base.AbstractPool method) (lava.lib.dl.slayer.block.base.AbstractRecurrent method) (lava.lib.dl.slayer.block.base.AbstractTimeDecimation method) (lava.lib.dl.slayer.block.base.AbstractUnpool method) (lava.lib.dl.slayer.block.sigma_delta.Output method) expr (lava.magma.core.learning.symbolic_equation.Symbol property) Expression (class in lava.magma.core.learning.symbolic_equation)

F

f_dim (lava.magma.compiler.var_model.ConvInVarModel attribute) f_split (lava.magma.compiler.var_model.ConvInVarModel attribute) Factor (class in lava.magma.core.learning.product_series) factor_type (lava.magma.core.learning.product_series.Factor property) factors (lava.magma.core.learning.product_series.Product property) FactorSym (class in lava.magma.core.learning.symbolic_equation) field_name (lava.magma.compiler.var_model.LoihiVarModel attribute) file (lava.magma.core.process.process.LogConfig attribute) files (lava.utils.dataloader.mnist.MnistDataset attribute) fill_tensor() (lava.lib.dl.slayer.io.Event method) filter (lava.lib.dl.slayer.utils.filter.FIR attribute) filter_length (lava.lib.dl.slayer.utils.filter.FIRBank property) find() (lava.magma.core.learning.symbolic_equation.Addition static method) (lava.magma.core.learning.symbolic_equation.BracketExpression static method) (lava.magma.core.learning.symbolic_equation.Literal static method) (lava.magma.core.learning.symbolic_equation.Multiplication static method) (lava.magma.core.learning.symbolic_equation.SgnExpression static method) (lava.magma.core.learning.symbolic_equation.Subtraction static method) (lava.magma.core.learning.symbolic_equation.Uk static method) (lava.magma.core.learning.symbolic_equation.Variable static method) (lava.magma.core.learning.symbolic_equation.X0 static method) (lava.magma.core.learning.symbolic_equation.Y0 static method) find_expr() (lava.magma.core.learning.symbolic_equation.Symbol static method) find_maximum_independent_set() (lava.lib.optimization.utils.generators.mis.MISProblem method) find_processes() (in module lava.magma.compiler.compiler_graphs) find_sub_expr() (lava.magma.core.learning.symbolic_equation.BracketExpression method) (lava.magma.core.learning.symbolic_equation.Expression method) (lava.magma.core.learning.symbolic_equation.SgnExpression method) find_sub_procs() (lava.magma.core.model.sub.model.AbstractSubProcessModel method) FIR (class in lava.lib.dl.slayer.utils.filter) FIRBank (class in lava.lib.dl.slayer.utils.filter) first_spike_times (lava.lib.dnf.inputs.rate_code_spike_gen.models.RateCodeSpikeGenProcessModel attribute) fit() (lava.lib.dl.bootstrap.ann_sampler.AnnSampler method) (lava.lib.dl.bootstrap.block.base.AbstractBlock method) (lava.lib.dl.bootstrap.block.cuba.Affine method) flag_external_pipe() (lava.magma.core.process.ports.ports.InPort method) (lava.magma.core.process.ports.ports.OutPort method) Flatten (class in lava.lib.dl.bootstrap.block.cuba) (class in lava.lib.dl.slayer.block.adrf) (class in lava.lib.dl.slayer.block.adrf_iz) (class in lava.lib.dl.slayer.block.alif) (class in lava.lib.dl.slayer.block.cuba) (class in lava.lib.dl.slayer.block.rf) (class in lava.lib.dl.slayer.block.rf_iz) (class in lava.lib.dl.slayer.block.sigma_delta) flatten() (lava.magma.core.process.ports.ports.AbstractPort method) flatten_block() (lava.lib.dl.slayer.auto.SequentialNetwork method) flatten_list_itertools() (in module lava.magma.compiler.compiler_graphs) flatten_list_recursive() (in module lava.magma.compiler.compiler_graphs) Flip (class in lava.lib.dnf.operations.operations) FlipShapeHandler (class in lava.lib.dnf.operations.shape_handlers) float_to_literal() (in module lava.magma.core.learning.utils) FLOOR (lava.lib.dl.slayer.utils.quantize.MODE attribute) flush() (lava.magma.core.model.py.ports.PyOutPort method) folded_compilation (lava.lib.optimization.solvers.generic.solver.SolverConfig attribute) folded_view (lava.magma.core.process.process.AbstractProcess property) folded_view_inst_id (lava.magma.core.process.process.AbstractProcess property) format (lava.magma.core.process.process.LogConfig attribute) forward() (lava.lib.dl.bootstrap.ann_sampler.AnnSampler method) (lava.lib.dl.bootstrap.block.base.AbstractBlock method) (lava.lib.dl.bootstrap.block.cuba.Affine method) (lava.lib.dl.bootstrap.block.cuba.Conv method) (lava.lib.dl.bootstrap.block.cuba.Dense method) (lava.lib.dl.bootstrap.block.cuba.Flatten method) (lava.lib.dl.bootstrap.block.cuba.Input method) (lava.lib.dl.slayer.auto.SequentialNetwork method) (lava.lib.dl.slayer.axon.Delay method) (lava.lib.dl.slayer.axon.delay.Delay method) (lava.lib.dl.slayer.axon.Delta method) (lava.lib.dl.slayer.axon.delta.Delta method) (lava.lib.dl.slayer.block.base.AbstractAffine method) (lava.lib.dl.slayer.block.base.AbstractAverage method) (lava.lib.dl.slayer.block.base.AbstractConv method) (lava.lib.dl.slayer.block.base.AbstractConvT method) (lava.lib.dl.slayer.block.base.AbstractDense method) (lava.lib.dl.slayer.block.base.AbstractFlatten method) (lava.lib.dl.slayer.block.base.AbstractInput method) (lava.lib.dl.slayer.block.base.AbstractKWTA method) (lava.lib.dl.slayer.block.base.AbstractPool method) (lava.lib.dl.slayer.block.base.AbstractRecurrent method) (lava.lib.dl.slayer.block.base.AbstractTimeDecimation method) (lava.lib.dl.slayer.block.base.AbstractUnpool method) (lava.lib.dl.slayer.block.sigma_delta.Input method) (lava.lib.dl.slayer.block.sigma_delta.Output method) (lava.lib.dl.slayer.classifier.MovingWindow method) (lava.lib.dl.slayer.classifier.Rate method) (lava.lib.dl.slayer.dendrite.Sigma method) (lava.lib.dl.slayer.dendrite.sigma.Sigma method) (lava.lib.dl.slayer.loss.SpikeMax method) (lava.lib.dl.slayer.loss.SpikeMoid method) (lava.lib.dl.slayer.loss.SpikeRate method) (lava.lib.dl.slayer.loss.SpikeTime method) (lava.lib.dl.slayer.neuron.adrf.Neuron method) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron method) (lava.lib.dl.slayer.neuron.alif.Neuron method) (lava.lib.dl.slayer.neuron.cuba.Neuron method) (lava.lib.dl.slayer.neuron.Dropout method) (lava.lib.dl.slayer.neuron.dropout.Dropout method) (lava.lib.dl.slayer.neuron.norm.MeanOnlyBatchNorm method) (lava.lib.dl.slayer.neuron.norm.WgtScaleBatchNorm method) (lava.lib.dl.slayer.neuron.rf.Neuron method) (lava.lib.dl.slayer.neuron.rf_iz.Neuron method) (lava.lib.dl.slayer.neuron.sigma_delta.Neuron method) (lava.lib.dl.slayer.spike.complex.Spike static method) (lava.lib.dl.slayer.spike.Spike static method) (lava.lib.dl.slayer.spike.spike.Spike static method) (lava.lib.dl.slayer.synapse.complex.ComplexLayer method) (lava.lib.dl.slayer.synapse.Conv method) (lava.lib.dl.slayer.synapse.ConvTranspose method) (lava.lib.dl.slayer.synapse.Dense method) (lava.lib.dl.slayer.synapse.layer.Conv method) (lava.lib.dl.slayer.synapse.layer.ConvTranspose method) (lava.lib.dl.slayer.synapse.layer.Dense method) (lava.lib.dl.slayer.synapse.layer.Pool method) (lava.lib.dl.slayer.synapse.layer.Unpool method) (lava.lib.dl.slayer.synapse.Pool method) (lava.lib.dl.slayer.synapse.Unpool method) (lava.lib.dl.slayer.utils.filter.FIR method) (lava.lib.dl.slayer.utils.filter.FIRBank method) (lava.lib.dl.slayer.utils.int_utils.Q2Zero static method)

frequency (lava.lib.dl.slayer.neuron.adrf.Neuron property) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron property) (lava.lib.dl.slayer.neuron.rf.Neuron property) (lava.lib.dl.slayer.neuron.rf_iz.Neuron property) from_channel_map() (lava.magma.compiler.subcompilers.channel_builders_factory.ChannelBuildersFactory method) from_proc_groups() (lava.magma.compiler.channel_map.ChannelMap class method) from_random_uniform() (lava.lib.optimization.utils.generators.mis.MISProblem class method) from_watts_strogatz() (lava.lib.optimization.utils.generators.mis.MISProblem class method) func (lava.magma.core.sync.protocols.loihi_protocol.Proc_Function_With_Guard attribute)

G

gauss() (in module lava.lib.dnf.utils.math) GaussianMixin (class in lava.lib.dnf.kernels.kernels) GaussPattern (class in lava.lib.dnf.inputs.gauss_pattern.process) GaussPatternProcessModel (class in lava.lib.dnf.inputs.gauss_pattern.models) generate_channel_name() (in module lava.magma.runtime.runtime_services.channel_broker.channel_broker) generate_grid() (lava.lib.optimization.utils.solver_tuner.SolverTuner static method) GenericLayer (class in lava.lib.dl.slayer.synapse.layer) GenericNode (class in lava.magma.core.resources) GET (lava.magma.core.model.py.ports.VarPortCmd attribute) get() (lava.magma.compiler.channels.pypychannel.CspRecvQueue method) (lava.magma.compiler.subcompilers.py.pyproc_compiler.Offset method) (lava.magma.core.model.py.ports.RefVarTypeMapping class method) (lava.magma.core.process.process.ProcessParameters method) (lava.magma.core.process.variable.Var method) get_as_qubo() (lava.lib.optimization.utils.generators.mis.MISProblem method) get_builders() (lava.magma.compiler.subcompilers.interfaces.AbstractSubCompiler method) (lava.magma.compiler.subcompilers.interfaces.SubCompiler method) (lava.magma.compiler.subcompilers.py.pyproc_compiler.PyProcCompiler method) get_classes() (in module lava.lib.dl.slayer.auto) get_coefficient() (lava.lib.optimization.problems.coefficients.CoefficientTensorsMixin method) get_complement_graph() (lava.lib.optimization.utils.generators.mis.MISProblem method) get_complement_graph_matrix() (lava.lib.optimization.utils.generators.mis.MISProblem method) GET_DATA (lava.magma.runtime.mgmt_token_enums.MGMT_COMMAND attribute) get_data() (lava.proc.monitor.process.Monitor method) get_data_from_runtime() (lava.magma.core.callback_fx.CallbackFx method) get_data_from_runtime_service() (lava.magma.core.callback_fx.CallbackFx method) get_delay_wgts_mat() (lava.proc.dense.models.AbstractPyDelayDenseModel static method) get_dst_ports() (lava.magma.core.process.ports.ports.AbstractPort method) get_dst_vars() (lava.magma.core.process.ports.ports.RefPort method) get_graph() (lava.lib.optimization.utils.generators.mis.MISProblem method) get_incoming_transform_funcs() (lava.magma.core.process.ports.ports.AbstractPort method) get_incoming_virtual_ports() (lava.magma.core.process.ports.ports.AbstractPort method) get_logical() (lava.magma.compiler.mappable_interface.Mappable method) (lava.magma.compiler.utils.LoihiPortInitializer method) (lava.magma.compiler.var_model.ConvInVarModel method) (lava.magma.compiler.var_model.LoihiVarModel method) get_neuron_params() (in module lava.lib.dl.slayer.auto) (lava.lib.dl.netx.hdf5.Network static method) get_neuron_process() (lava.lib.optimization.solvers.generic.sub_process_models.DiscreteVariablesModel static method)

get_next_id() (lava.magma.core.process.interfaces.IdGeneratorSingleton method) get_outgoing_transform_funcs() (lava.magma.core.process.ports.ports.AbstractPort method) get_outgoing_virtual_ports() (lava.magma.core.process.ports.ports.AbstractPort method) get_port_dtype() (lava.magma.compiler.subcompilers.channel_builders_factory.ChannelBuildersFactory static method) get_port_initializer() (lava.magma.compiler.channel_map.ChannelMap method) get_proc_groups() (lava.magma.compiler.compiler_graphs.AbstractProcGroupDiGraphs method) (lava.magma.compiler.compiler_graphs.ProcGroupDiGraphs method) get_qubo_matrix() (lava.lib.optimization.utils.generators.mis.MISProblem method) get_read_gate_model_class() (in module lava.lib.optimization.solvers.generic.read_gate.models) get_readgate_members() (in module lava.lib.optimization.solvers.generic.read_gate.models) get_scope_and_relations() (lava.lib.optimization.problems.constraints.DiscreteConstraints method) get_src_ports() (lava.magma.core.process.ports.ports.AbstractPort method) get_transform_func_bwd() (lava.magma.core.process.ports.ports.AbstractVirtualPort method) (lava.magma.core.process.ports.ports.ConcatPort method) (lava.magma.core.process.ports.ports.ReshapePort method) (lava.magma.core.process.ports.ports.TransposePort method) get_transform_func_fwd() (lava.magma.core.process.ports.ports.AbstractVirtualPort method) (lava.magma.core.process.ports.ports.ConcatPort method) (lava.magma.core.process.ports.ports.ReshapePort method) (lava.magma.core.process.ports.ports.TransposePort method) get_var() (lava.magma.runtime.runtime.Runtime method) GPU (class in lava.magma.core.resources) grad_norm (lava.lib.dl.slayer.synapse.complex.ComplexLayer property) (lava.lib.dl.slayer.synapse.layer.GenericLayer property) GRADED16_SPIKE (lava.magma.core.model.spike_type.SpikeType attribute) GRADED24_SPIKE (lava.magma.core.model.spike_type.SpikeType attribute) GRADED8_SPIKE (lava.magma.core.model.spike_type.SpikeType attribute) GradedSpikeCfg (class in lava.magma.core.learning.constants) gradient_in (lava.lib.optimization.solvers.generic.dataclasses.VariablesImplementation property) gradient_in_cont (lava.lib.optimization.solvers.generic.dataclasses.VariablesImplementation property) gradient_out (lava.lib.optimization.solvers.generic.dataclasses.CostMinimizer property) ground_truth (lava.proc.io.dataloader.AbstractPyDataloaderModel attribute) ground_truth_array() (lava.proc.io.dataloader.AbstractPyDataloaderModel method) groups (lava.lib.dl.slayer.synapse.Conv attribute) (lava.lib.dl.slayer.synapse.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.layer.Conv attribute) (lava.lib.dl.slayer.synapse.layer.ConvTranspose attribute) (lava.proc.conv.models.AbstractPyConvModel attribute) guard (lava.magma.core.sync.protocols.loihi_protocol.Proc_Function_With_Guard attribute)

H

HardDrive (class in lava.magma.core.resources) has() (lava.magma.core.process.process.Collection method) has_const() (lava.magma.core.learning.product_series.Factor method) has_port_initializer() (lava.magma.compiler.channel_map.ChannelMap method) HeadNode (class in lava.magma.core.resources) HeadNodeHardDrive (class in lava.magma.core.resources) hessian (lava.lib.optimization.problems.problems.QP property) hi (lava.magma.compiler.var_model.AxonEncoder attribute) HOST (lava.magma.core.model.py.model.PyLoihiProcessModel.Phase attribute) (lava.magma.core.sync.protocols.loihi_protocol.Phase attribute) (lava.magma.runtime.runtime_services.enums.LoihiPhase attribute) (lava.magma.runtime.runtime_services.runtime_service.LoihiPyRuntimeService.Phase attribute)

HOST_CONCURRENT_EXECUTION (lava.magma.runtime.runtime_services.enums.NxSdkPhase attribute) HOST_POST_EXECUTION (lava.magma.runtime.runtime_services.enums.NxSdkPhase attribute) HOST_PRE_EXECUTION (lava.magma.runtime.runtime_services.enums.NxSdkPhase attribute) HostCPU (class in lava.magma.core.resources) HWCN (lava.proc.conv.utils.TensorOrder attribute) hyperparameters (lava.lib.optimization.solvers.generic.solver.SolverConfig attribute)

I

IdentityTransformer (class in lava.magma.core.model.py.ports) IdGeneratorSingleton (class in lava.magma.core.process.interfaces) ILP (class in lava.lib.optimization.problems.problems) imag (lava.lib.dl.slayer.synapse.complex.Conv attribute) (lava.lib.dl.slayer.synapse.complex.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.complex.Dense attribute) (lava.lib.dl.slayer.synapse.complex.Pool attribute) (lava.lib.dl.slayer.synapse.complex.Unpool attribute) images (lava.utils.dataloader.mnist.MnistDataset property) implements() (in module lava.magma.core.decorator) implements_process (lava.lib.dl.netx.blocks.models.PyComplexDenseModel attribute) (lava.lib.dl.netx.blocks.models.PyComplexInputModel attribute) (lava.lib.dl.netx.blocks.models.PyConvModel attribute) (lava.lib.dl.netx.blocks.models.PyDenseModel attribute) (lava.lib.dl.netx.blocks.models.PyInputModel attribute) (lava.lib.dl.netx.hdf5.PyNetworkModel attribute) (lava.lib.dnf.inputs.gauss_pattern.models.GaussPatternProcessModel attribute) (lava.lib.dnf.inputs.rate_code_spike_gen.models.RateCodeSpikeGenProcessModel attribute) (lava.lib.optimization.problems.bayesian.models.PyDualInputFunctionModel attribute) (lava.lib.optimization.problems.bayesian.models.PySingleInputFunctionModel attribute) (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) (lava.lib.optimization.solvers.generic.cost_integrator.models.CostIntegratorModel attribute) (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel attribute) (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelCspScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) (lava.lib.optimization.solvers.generic.sub_process_models.ContinuousConstraintsModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.ContinuousVariablesModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.CostConvergenceCheckerModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.DiscreteVariablesModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.NEBMAbstractModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.SimulatedAnnealingAbstractModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.SimulatedAnnealingLocalAbstractModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.StochasticIntegrateAndFireModelSCIF attribute) (lava.magma.core.model.model.AbstractProcessModel attribute) (lava.proc.conv.models.PyConvModelFixed attribute) (lava.proc.conv.models.PyConvModelFloat attribute) (lava.proc.dense.models.PyDelayDenseModelBitAcc attribute) (lava.proc.dense.models.PyDelayDenseModelFloat attribute) (lava.proc.dense.models.PyDenseModelBitAcc attribute) (lava.proc.dense.models.PyDenseModelFloat attribute) (lava.proc.dense.models.PyLearningDenseModelBitApproximate attribute) (lava.proc.dense.models.PyLearningDenseModelFloat attribute) (lava.proc.io.dataloader.PySpikeModelFixed attribute) (lava.proc.io.dataloader.PySpikeModelFloat attribute) (lava.proc.io.dataloader.PyStateModelFixed attribute) (lava.proc.io.dataloader.PyStateModelFloat attribute) (lava.proc.io.encoder.PyDeltaEncoderModelDense attribute) (lava.proc.io.encoder.PyDeltaEncoderModelSparse attribute) (lava.proc.io.reset.PyResetFixed attribute) (lava.proc.io.reset.PyResetFloat attribute) (lava.proc.io.sink.PyReadFixed attribute) (lava.proc.io.sink.PyReadFloat attribute) (lava.proc.io.sink.PyReceiveModelFixed attribute) (lava.proc.io.sink.PyReceiveModelFloat attribute) (lava.proc.io.source.PySendModelFixed attribute) (lava.proc.io.source.PySendModelFloat attribute) (lava.proc.lif.models.PyLearningLIFModelFixed attribute) (lava.proc.lif.models.PyLearningLifModelFloat attribute) (lava.proc.lif.models.PyLifModelBitAcc attribute) (lava.proc.lif.models.PyLifModelFloat attribute) (lava.proc.lif.models.PyLifRefractoryModelFloat attribute) (lava.proc.lif.models.PyLifResetModelBitAcc attribute) (lava.proc.lif.models.PyLifResetModelFloat attribute) (lava.proc.lif.models.PyTernLifModelFixed attribute) (lava.proc.lif.models.PyTernLifModelFloat attribute) (lava.proc.monitor.models.PyMonitorModel attribute) (lava.proc.receiver.models.ReceiverModel attribute) (lava.proc.sdn.models.PyDeltaModelFixed attribute) (lava.proc.sdn.models.PyDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixed attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected attribute) (lava.proc.sdn.models.PySigmaDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaModelFixed attribute) (lava.proc.sdn.models.PySigmaModelFloat attribute) (lava.proc.spiker.models.SpikerModel attribute) implements_protocol (lava.lib.dl.netx.blocks.models.PyComplexDenseModel attribute) (lava.lib.dl.netx.blocks.models.PyComplexInputModel attribute) (lava.lib.dl.netx.blocks.models.PyConvModel attribute) (lava.lib.dl.netx.blocks.models.PyDenseModel attribute) (lava.lib.dl.netx.blocks.models.PyInputModel attribute) (lava.lib.dl.netx.hdf5.PyNetworkModel attribute) (lava.lib.dnf.inputs.gauss_pattern.models.GaussPatternProcessModel attribute) (lava.lib.dnf.inputs.rate_code_spike_gen.models.RateCodeSpikeGenProcessModel attribute) (lava.lib.optimization.problems.bayesian.models.PyDualInputFunctionModel attribute) (lava.lib.optimization.problems.bayesian.models.PySingleInputFunctionModel attribute) (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) (lava.lib.optimization.solvers.generic.cost_integrator.models.CostIntegratorModel attribute) (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel attribute) (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelCspScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) (lava.lib.optimization.solvers.generic.sub_process_models.ContinuousConstraintsModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.ContinuousVariablesModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.CostConvergenceCheckerModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.DiscreteVariablesModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.NEBMAbstractModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.SimulatedAnnealingAbstractModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.SimulatedAnnealingLocalAbstractModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.StochasticIntegrateAndFireModelSCIF attribute) (lava.magma.core.model.model.AbstractProcessModel attribute) (lava.proc.conv.models.PyConvModelFixed attribute) (lava.proc.conv.models.PyConvModelFloat attribute) (lava.proc.dense.models.PyDelayDenseModelBitAcc attribute) (lava.proc.dense.models.PyDelayDenseModelFloat attribute) (lava.proc.dense.models.PyDenseModelBitAcc attribute) (lava.proc.dense.models.PyDenseModelFloat attribute) (lava.proc.dense.models.PyLearningDenseModelBitApproximate attribute) (lava.proc.dense.models.PyLearningDenseModelFloat attribute) (lava.proc.io.dataloader.PySpikeModelFixed attribute) (lava.proc.io.dataloader.PySpikeModelFloat attribute) (lava.proc.io.dataloader.PyStateModelFixed attribute) (lava.proc.io.dataloader.PyStateModelFloat attribute) (lava.proc.io.encoder.PyDeltaEncoderModelDense attribute) (lava.proc.io.encoder.PyDeltaEncoderModelSparse attribute) (lava.proc.io.reset.PyResetFixed attribute) (lava.proc.io.reset.PyResetFloat attribute) (lava.proc.io.sink.PyReadFixed attribute) (lava.proc.io.sink.PyReadFloat attribute) (lava.proc.io.sink.PyReceiveModelFixed attribute) (lava.proc.io.sink.PyReceiveModelFloat attribute) (lava.proc.io.source.PySendModelFixed attribute) (lava.proc.io.source.PySendModelFloat attribute) (lava.proc.lif.models.PyLearningLIFModelFixed attribute) (lava.proc.lif.models.PyLearningLifModelFloat attribute) (lava.proc.lif.models.PyLifModelBitAcc attribute) (lava.proc.lif.models.PyLifModelFloat attribute) (lava.proc.lif.models.PyLifRefractoryModelFloat attribute) (lava.proc.lif.models.PyLifResetModelBitAcc attribute) (lava.proc.lif.models.PyLifResetModelFloat attribute) (lava.proc.lif.models.PyTernLifModelFixed attribute) (lava.proc.lif.models.PyTernLifModelFloat attribute) (lava.proc.monitor.models.PyMonitorModel attribute) (lava.proc.receiver.models.ReceiverModel attribute) (lava.proc.sdn.models.PyDeltaModelFixed attribute) (lava.proc.sdn.models.PyDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixed attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected attribute) (lava.proc.sdn.models.PySigmaDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaModelFixed attribute) (lava.proc.sdn.models.PySigmaModelFloat attribute) (lava.proc.spiker.models.SpikerModel attribute)

ImplicitVarPort (class in lava.magma.core.process.ports.ports) importances (lava.lib.optimization.solvers.generic.dataclasses.VariablesImplementation property) impulse_response (lava.lib.dl.slayer.utils.filter.FIRBank property) in_channels (lava.lib.dl.slayer.synapse.Conv attribute) (lava.lib.dl.slayer.synapse.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.Dense attribute) (lava.lib.dl.slayer.synapse.layer.Conv attribute) (lava.lib.dl.slayer.synapse.layer.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.layer.Dense attribute) (lava.lib.dl.slayer.synapse.layer.Pool attribute) (lava.lib.dl.slayer.synapse.layer.Unpool attribute) (lava.lib.dl.slayer.synapse.Pool attribute) (lava.lib.dl.slayer.synapse.Unpool attribute) in_port_0 (lava.proc.monitor.models.PyMonitorModel attribute) inequality (lava.lib.optimization.problems.constraints.ArithmeticConstraints property) InequalityConstraints (class in lava.lib.optimization.problems.constraints) INHIBITORY (lava.utils.weightutils.SignMode attribute) init() (lava.utils.profiler.Profiler static method) init_search_space() (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel method) initialize() (lava.magma.runtime.runtime.Runtime method) initialized (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) INLIKE (lava.magma.compiler.compiler_graphs.NodeAnnotation attribute) InPort (class in lava.magma.core.process.ports.ports) Input (class in lava.lib.dl.bootstrap.block.cuba) (class in lava.lib.dl.netx.blocks.process) (class in lava.lib.dl.slayer.block.adrf) (class in lava.lib.dl.slayer.block.adrf_iz) (class in lava.lib.dl.slayer.block.alif) (class in lava.lib.dl.slayer.block.cuba) (class in lava.lib.dl.slayer.block.rf) (class in lava.lib.dl.slayer.block.rf_iz) (class in lava.lib.dl.slayer.block.sigma_delta) input_block() (lava.lib.dl.slayer.auto.SequentialNetwork method) input_shape (lava.lib.dnf.operations.operations.AbstractOperation property) (lava.lib.dnf.operations.shape_handlers.AbstractShapeHandler property) instance (lava.magma.core.process.process.ProcessServer attribute) (lava.magma.core.process.variable.VarServer attribute) inter_spike_distances (lava.lib.dnf.inputs.rate_code_spike_gen.models.RateCodeSpikeGenProcessModel attribute) interface (lava.magma.compiler.var_model.NcSpikeIOVarModel attribute) interval (lava.proc.io.dataloader.AbstractPyDataloaderModel attribute) (lava.proc.io.reset.AbstractPyReset attribute) (lava.proc.io.sink.AbstractPyRead attribute) INVALID (lava.magma.compiler.compiler_graphs.NodeAnnotation attribute) ip_gen_config (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) IQP (class in lava.lib.optimization.problems.problems) is_augmented (lava.lib.optimization.problems.cost.Cost property) is_compiled (lava.magma.core.process.process.AbstractProcess property) is_dag() (lava.magma.compiler.compiler_graphs.DiGraphBase method) is_disjoint() (in module lava.magma.core.process.ports.ports) is_empty() (lava.magma.core.process.process.Collection method) is_loihi2_available (lava.utils.system.Loihi2 attribute) is_msg_size_static() (lava.magma.compiler.channels.interfaces.AbstractCspPort method) is_not_initialized (lava.magma.core.process.process.ProcessServer attribute) (lava.magma.core.process.variable.VarServer attribute) is_odd() (in module lava.lib.dnf.utils.math) is_sgn (lava.magma.core.learning.product_series.Factor property) is_sub_proc_of() (lava.magma.core.process.process.AbstractProcess method) islong (lava.magma.compiler.var_model.SpikeEncoder attribute) ISOLATED (lava.magma.compiler.compiler_graphs.NodeAnnotation attribute) isomodel_condensed_digraph (lava.magma.compiler.compiler_graphs.ProcGroupDiGraphs property) IterableCallBack (class in lava.magma.core.callback_fx)

J

JOIN (lava.magma.compiler.builders.channel_builder.WatchdogEnabledMixin attribute) join() (lava.magma.compiler.channels.interfaces.AbstractCspPort method) (lava.magma.compiler.channels.pypychannel.CspRecvPort method) (lava.magma.compiler.channels.pypychannel.CspSendPort method) (lava.magma.core.model.interfaces.AbstractPortImplementation method) (lava.magma.core.model.py.model.AbstractPyProcessModel method) (lava.magma.runtime.message_infrastructure.multiprocessing.SystemProcess method) (lava.magma.runtime.runtime.Runtime method) (lava.magma.runtime.runtime_services.channel_broker.channel_broker.ChannelBroker method) (lava.magma.runtime.runtime_services.interfaces.AbstractRuntimeService method) (lava.magma.runtime.runtime_services.runtime_service.PyRuntimeService method)

K

KapohoBay (class in lava.magma.core.resources) KapohoPoint (class in lava.magma.core.resources) KeepShapeShapeHandler (class in lava.lib.dnf.operations.shape_handlers) Kernel (class in lava.lib.dnf.kernels.kernels) kernel (lava.lib.dl.slayer.synapse.Conv attribute) (lava.lib.dl.slayer.synapse.layer.Conv attribute) (lava.lib.dnf.operations.operations.Convolution property) kernel_size (lava.lib.dl.slayer.synapse.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.layer.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.layer.Pool attribute) (lava.lib.dl.slayer.synapse.Pool attribute) (lava.proc.conv.models.AbstractPyConvModel attribute)

KWTA (class in lava.lib.dl.slayer.block.adrf) (class in lava.lib.dl.slayer.block.adrf_iz) (class in lava.lib.dl.slayer.block.alif) (class in lava.lib.dl.slayer.block.cuba) (class in lava.lib.dl.slayer.block.rf) (class in lava.lib.dl.slayer.block.rf_iz)

L

l_address (lava.magma.compiler.builders.interfaces.CompiledResource property) labels (lava.utils.dataloader.mnist.MnistDataset property) lam (lava.lib.dl.slayer.neuron.adrf.Neuron property) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron property) (lava.lib.dl.slayer.neuron.rf.Neuron property) (lava.lib.dl.slayer.neuron.rf_iz.Neuron property) (lava.lib.dl.slayer.utils.Assistant attribute) (lava.lib.dl.slayer.utils.assistant.Assistant attribute) last_spiked (lava.lib.dnf.inputs.rate_code_spike_gen.models.RateCodeSpikeGenProcessModel attribute) lava module, [1], [2] lava.lib module, [1] lava.lib.dl.bootstrap.ann_sampler module lava.lib.dl.bootstrap.block module lava.lib.dl.bootstrap.block.base module lava.lib.dl.bootstrap.block.cuba module lava.lib.dl.bootstrap.routine module lava.lib.dl.netx.blocks module lava.lib.dl.netx.blocks.models module lava.lib.dl.netx.blocks.process module lava.lib.dl.netx.hdf5 module lava.lib.dl.netx.utils module lava.lib.dl.slayer.auto module lava.lib.dl.slayer.axon module lava.lib.dl.slayer.axon.delay module lava.lib.dl.slayer.axon.delta module lava.lib.dl.slayer.block module lava.lib.dl.slayer.block.adrf module lava.lib.dl.slayer.block.adrf_iz module lava.lib.dl.slayer.block.alif module lava.lib.dl.slayer.block.base module lava.lib.dl.slayer.block.cuba module lava.lib.dl.slayer.block.rf module lava.lib.dl.slayer.block.rf_iz module lava.lib.dl.slayer.block.sigma_delta module lava.lib.dl.slayer.classifier module lava.lib.dl.slayer.dendrite module lava.lib.dl.slayer.dendrite.sigma module lava.lib.dl.slayer.io module lava.lib.dl.slayer.loss module lava.lib.dl.slayer.neuron module lava.lib.dl.slayer.neuron.adrf module lava.lib.dl.slayer.neuron.adrf_iz module lava.lib.dl.slayer.neuron.alif module lava.lib.dl.slayer.neuron.base module lava.lib.dl.slayer.neuron.cuba module lava.lib.dl.slayer.neuron.dropout module lava.lib.dl.slayer.neuron.norm module lava.lib.dl.slayer.neuron.rf module lava.lib.dl.slayer.neuron.rf_iz module lava.lib.dl.slayer.neuron.sigma_delta module lava.lib.dl.slayer.spike module lava.lib.dl.slayer.spike.complex module lava.lib.dl.slayer.spike.spike module lava.lib.dl.slayer.synapse module lava.lib.dl.slayer.synapse.complex module lava.lib.dl.slayer.synapse.layer module lava.lib.dl.slayer.utils module lava.lib.dl.slayer.utils.assistant module lava.lib.dl.slayer.utils.filter module lava.lib.dl.slayer.utils.int_utils module lava.lib.dl.slayer.utils.quantize module lava.lib.dl.slayer.utils.stats module lava.lib.dl.slayer.utils.time module lava.lib.dl.slayer.utils.utils module lava.lib.dnf module lava.lib.dnf.connect module lava.lib.dnf.connect.connect module lava.lib.dnf.connect.exceptions module lava.lib.dnf.inputs module lava.lib.dnf.inputs.gauss_pattern module lava.lib.dnf.inputs.gauss_pattern.models module lava.lib.dnf.inputs.gauss_pattern.process module lava.lib.dnf.inputs.rate_code_spike_gen module lava.lib.dnf.inputs.rate_code_spike_gen.models module lava.lib.dnf.inputs.rate_code_spike_gen.process module lava.lib.dnf.kernels module lava.lib.dnf.kernels.kernels module lava.lib.dnf.operations module lava.lib.dnf.operations.enums module lava.lib.dnf.operations.exceptions module lava.lib.dnf.operations.operations module lava.lib.dnf.operations.shape_handlers module lava.lib.dnf.utils module lava.lib.dnf.utils.convenience module lava.lib.dnf.utils.math module lava.lib.dnf.utils.plotting module lava.lib.dnf.utils.validation module lava.lib.optimization module lava.lib.optimization.problems module lava.lib.optimization.problems.bayesian module lava.lib.optimization.problems.bayesian.models module lava.lib.optimization.problems.bayesian.processes module lava.lib.optimization.problems.coefficients module lava.lib.optimization.problems.constraints module lava.lib.optimization.problems.cost module lava.lib.optimization.problems.problems module lava.lib.optimization.problems.variables module lava.lib.optimization.solvers module lava.lib.optimization.solvers.bayesian module lava.lib.optimization.solvers.bayesian.models module lava.lib.optimization.solvers.bayesian.processes module lava.lib.optimization.solvers.bayesian.solver module lava.lib.optimization.solvers.generic module lava.lib.optimization.solvers.generic.builder module lava.lib.optimization.solvers.generic.cost_integrator module lava.lib.optimization.solvers.generic.cost_integrator.models module lava.lib.optimization.solvers.generic.cost_integrator.process module lava.lib.optimization.solvers.generic.dataclasses module lava.lib.optimization.solvers.generic.hierarchical_processes module lava.lib.optimization.solvers.generic.monitoring_processes module lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout module lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models module lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.process module lava.lib.optimization.solvers.generic.processes module lava.lib.optimization.solvers.generic.read_gate module lava.lib.optimization.solvers.generic.read_gate.models module lava.lib.optimization.solvers.generic.read_gate.process module lava.lib.optimization.solvers.generic.scif module lava.lib.optimization.solvers.generic.scif.models module lava.lib.optimization.solvers.generic.scif.process module lava.lib.optimization.solvers.generic.solver module lava.lib.optimization.solvers.generic.sub_process_models module lava.lib.optimization.solvers.qp module lava.lib.optimization.utils module lava.lib.optimization.utils.generators module lava.lib.optimization.utils.generators.mis module lava.lib.optimization.utils.solver_tuner module lava.magma module lava.magma.compiler module lava.magma.compiler.builders module lava.magma.compiler.builders.channel_builder module lava.magma.compiler.builders.interfaces module lava.magma.compiler.builders.py_builder module lava.magma.compiler.builders.runtimeservice_builder module lava.magma.compiler.channel_map module lava.magma.compiler.channels module lava.magma.compiler.channels.interfaces module lava.magma.compiler.channels.pypychannel module lava.magma.compiler.compiler module lava.magma.compiler.compiler_graphs module lava.magma.compiler.compiler_utils module lava.magma.compiler.exceptions module lava.magma.compiler.executable module lava.magma.compiler.mappable_interface module lava.magma.compiler.mapper module lava.magma.compiler.node module lava.magma.compiler.subcompilers module lava.magma.compiler.subcompilers.address module lava.magma.compiler.subcompilers.channel_builders_factory module lava.magma.compiler.subcompilers.channel_map_updater module lava.magma.compiler.subcompilers.constants module lava.magma.compiler.subcompilers.exceptions module lava.magma.compiler.subcompilers.interfaces module

lava.magma.compiler.subcompilers.py module lava.magma.compiler.subcompilers.py.pyproc_compiler module lava.magma.compiler.utils module lava.magma.compiler.var_model module lava.magma.core module lava.magma.core.callback_fx module lava.magma.core.decorator module lava.magma.core.learning module lava.magma.core.learning.constants module lava.magma.core.learning.learning_rule module lava.magma.core.learning.learning_rule_applier module lava.magma.core.learning.product_series module lava.magma.core.learning.random module lava.magma.core.learning.string_symbols module lava.magma.core.learning.symbolic_equation module lava.magma.core.learning.utils module lava.magma.core.model module lava.magma.core.model.interfaces module lava.magma.core.model.model module lava.magma.core.model.py module lava.magma.core.model.py.connection module lava.magma.core.model.py.model module lava.magma.core.model.py.neuron module lava.magma.core.model.py.ports module lava.magma.core.model.py.type module lava.magma.core.model.spike_type module lava.magma.core.model.sub module lava.magma.core.model.sub.model module lava.magma.core.process module lava.magma.core.process.connection module lava.magma.core.process.interfaces module lava.magma.core.process.message_interface_enum module lava.magma.core.process.neuron module lava.magma.core.process.ports module lava.magma.core.process.ports.exceptions module lava.magma.core.process.ports.ports module lava.magma.core.process.ports.reduce_ops module lava.magma.core.process.process module lava.magma.core.process.variable module lava.magma.core.resources module lava.magma.core.run_conditions module lava.magma.core.run_configs module lava.magma.core.sync module lava.magma.core.sync.domain module lava.magma.core.sync.protocol module lava.magma.core.sync.protocols module lava.magma.core.sync.protocols.async_protocol module lava.magma.core.sync.protocols.loihi_protocol module lava.magma.runtime module lava.magma.runtime.message_infrastructure module lava.magma.runtime.message_infrastructure.factory module lava.magma.runtime.message_infrastructure.message_infrastructure_interface module lava.magma.runtime.message_infrastructure.multiprocessing module lava.magma.runtime.message_infrastructure.nx module lava.magma.runtime.mgmt_token_enums module lava.magma.runtime.runtime module lava.magma.runtime.runtime_services module lava.magma.runtime.runtime_services.channel_broker module lava.magma.runtime.runtime_services.channel_broker.channel_broker module lava.magma.runtime.runtime_services.enums module lava.magma.runtime.runtime_services.interfaces module lava.magma.runtime.runtime_services.runtime_service module lava.proc module lava.proc.conv module lava.proc.conv.models module lava.proc.conv.process module lava.proc.conv.utils module lava.proc.dense module lava.proc.dense.models module lava.proc.dense.process module lava.proc.io module lava.proc.io.dataloader module lava.proc.io.encoder module lava.proc.io.reset module lava.proc.io.sink module lava.proc.io.source module lava.proc.learning_rules module lava.proc.learning_rules.r_stdp_learning_rule module lava.proc.learning_rules.stdp_learning_rule module lava.proc.lif module lava.proc.lif.models module lava.proc.lif.process module lava.proc.monitor module lava.proc.monitor.models module lava.proc.monitor.process module lava.proc.receiver module lava.proc.receiver.models module lava.proc.receiver.process module lava.proc.sdn module lava.proc.sdn.models module lava.proc.sdn.process module lava.proc.spiker module lava.proc.spiker.models module lava.proc.spiker.process module lava.utils module lava.utils.dataloader module lava.utils.dataloader.mnist module lava.utils.profiler module lava.utils.system module lava.utils.weightutils module LavaPyType (class in lava.magma.core.model.py.type) LayerMode (class in lava.lib.dl.bootstrap.routine) LearningConnectionModelBitApproximate (class in lava.magma.core.model.py.connection) LearningConnectionModelFloat (class in lava.magma.core.model.py.connection) LearningConnectionProcess (class in lava.magma.core.process.connection) LearningDense (class in lava.proc.dense.process) LearningLIF (class in lava.proc.lif.process) LearningNeuronModel (class in lava.magma.core.model.py.neuron) LearningNeuronModelFixed (class in lava.magma.core.model.py.neuron) LearningNeuronModelFloat (class in lava.magma.core.model.py.neuron) LearningNeuronProcess (class in lava.magma.core.process.neuron) LearningRuleApplierBitApprox (class in lava.magma.core.learning.learning_rule_applier) LearningRuleApplierFloat (class in lava.magma.core.learning.learning_rule_applier) LearningStat (class in lava.lib.dl.slayer.utils) (class in lava.lib.dl.slayer.utils.stats) LearningStats (class in lava.lib.dl.slayer.utils) (class in lava.lib.dl.slayer.utils.stats) len (lava.magma.compiler.var_model.ByteEncoder attribute) length (lava.magma.compiler.var_model.LoihiAddress attribute) level (lava.magma.core.process.process.LogConfig attribute) level_console (lava.magma.core.process.process.LogConfig attribute) LIF (class in lava.proc.lif.process) LIFRefractory (class in lava.proc.lif.process) LIFReset (class in lava.proc.lif.process) linear_offset (lava.lib.optimization.problems.problems.QP property) list (lava.magma.core.learning.symbolic_equation.SymbolList property) Literal (class in lava.magma.core.learning.symbolic_equation) literal_type (lava.magma.core.learning.symbolic_equation.Literal property) LMT (class in lava.magma.core.resources) lmt_allocation_dict (lava.magma.compiler.channel_map.ChannelMap property) lmt_init_id() (in module lava.magma.compiler.channel_map) lo (lava.magma.compiler.var_model.AxonEncoder attribute) load() (lava.lib.dl.slayer.utils.LearningStats method) (lava.lib.dl.slayer.utils.stats.LearningStats method) (lava.magma.core.process.process.AbstractProcess method) local_cost (lava.lib.optimization.solvers.generic.dataclasses.VariablesImplementation property) (lava.lib.optimization.solvers.generic.hierarchical_processes.DiscreteVariablesProcess attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.NEBMAbstract attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.SimulatedAnnealingAbstract attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.SimulatedAnnealingLocalAbstract attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.StochasticIntegrateAndFire attribute) log_level (lava.lib.optimization.solvers.generic.solver.SolverConfig attribute) LogConfig (class in lava.magma.core.process.process) logical_chip_id (lava.magma.compiler.var_model.LoihiAddress attribute) logical_chip_idx (lava.magma.compiler.var_model.Region attribute) logical_core_id (lava.magma.compiler.var_model.LoihiAddress attribute) logical_core_idx (lava.magma.compiler.var_model.Region attribute) logical_idx_addr (lava.magma.compiler.var_model.LoihiAddress attribute) logs_to_file (lava.magma.core.process.process.LogConfig attribute) Loihi1HwCfg (class in lava.magma.core.run_configs) Loihi1NeuroCore (class in lava.magma.core.resources) Loihi1SimCfg (class in lava.magma.core.run_configs) Loihi1System (class in lava.magma.core.resources) Loihi2 (class in lava.utils.system) Loihi2FLearningRule (class in lava.magma.core.learning.learning_rule) Loihi2HwCfg (class in lava.magma.core.run_configs) Loihi2NeuroCore (class in lava.magma.core.resources) Loihi2SimCfg (class in lava.magma.core.run_configs) Loihi2System (class in lava.magma.core.resources) Loihi3FLearningRule (class in lava.magma.core.learning.learning_rule) LoihiAddress (class in lava.magma.compiler.var_model) LoihiCInPortInitializer (class in lava.magma.compiler.utils) LoihiConnectedPortEncodingType (class in lava.magma.compiler.utils) LoihiConnectedPortType (class in lava.magma.compiler.utils) LoihiInAxonAddress (class in lava.magma.compiler.var_model) LoihiInPortInitializer (class in lava.magma.compiler.utils) LoihiIOPortInitializer (class in lava.magma.compiler.utils) LoihiLearningRule (class in lava.magma.core.learning.learning_rule) LoihiNeuronAddress (class in lava.magma.compiler.var_model) LoihiNeuronVarModel (class in lava.magma.compiler.var_model) LoihiOutPortInitializer (class in lava.magma.compiler.utils) LoihiPhase (class in lava.magma.runtime.runtime_services.enums) LoihiPortInitializer (class in lava.magma.compiler.utils) LoihiProtocol (class in lava.magma.core.sync.protocols.loihi_protocol) LoihiPyInPortInitializer (class in lava.magma.compiler.utils) LoihiPyRuntimeService (class in lava.magma.runtime.runtime_services.runtime_service) LoihiPyRuntimeService.Phase (class in lava.magma.runtime.runtime_services.runtime_service) LoihiPyRuntimeService.PMResponse (class in lava.magma.runtime.runtime_services.runtime_service) LoihiSynapseAddress (class in lava.magma.compiler.var_model) LoihiSynapseVarModel (class in lava.magma.compiler.var_model) LoihiVarInitializer (class in lava.magma.compiler.utils) LoihiVarModel (class in lava.magma.compiler.var_model) LoihiVarPortInitializer (class in lava.magma.compiler.utils) LoihiVersion (class in lava.magma.runtime.runtime_services.enums) LONG_SPIKE (lava.magma.core.model.spike_type.SpikeType attribute) loss (lava.lib.dl.slayer.loss.SparsityEnforcer property) (lava.lib.dl.slayer.utils.LearningStat property) (lava.lib.dl.slayer.utils.stats.LearningStat property) loss_log (lava.lib.dl.slayer.utils.LearningStat attribute) (lava.lib.dl.slayer.utils.stats.LearningStat attribute) loss_sum (lava.lib.dl.slayer.utils.LearningStat attribute) (lava.lib.dl.slayer.utils.stats.LearningStat attribute) LRN (lava.magma.core.model.py.model.PyLoihiProcessModel.Phase attribute) (lava.magma.core.sync.protocols.loihi_protocol.Phase attribute) (lava.magma.runtime.runtime_services.enums.LoihiPhase attribute) (lava.magma.runtime.runtime_services.runtime_service.LoihiPyRuntimeService.Phase attribute) lrn_guard() (lava.magma.core.model.py.connection.PyLearningConnection method) (lava.magma.core.model.py.model.PyLoihiProcessModel method)

M

make_tuple() (in module lava.proc.conv.utils) mantissa (lava.magma.core.learning.symbolic_equation.Literal property) map_cores() (lava.magma.compiler.mapper.Mapper method) Mappable (class in lava.magma.compiler.mappable_interface) MappedResource (class in lava.magma.compiler.builders.interfaces) Mapper (class in lava.magma.compiler.mapper) mapping (lava.magma.core.model.py.ports.RefVarTypeMapping attribute), [1] max_accuracy (lava.lib.dl.slayer.utils.LearningStat attribute) (lava.lib.dl.slayer.utils.stats.LearningStat attribute) max_degree (lava.lib.optimization.problems.coefficients.CoefficientTensorsMixin property) max_delay (lava.lib.dl.slayer.axon.Delay attribute) (lava.lib.dl.slayer.axon.delay.Delay attribute) mean (lava.lib.dnf.inputs.gauss_pattern.process.GaussPattern property) MEAN (lava.lib.dnf.operations.enums.ReduceMethod attribute) MeanOnlyBatchNorm (class in lava.lib.dl.slayer.neuron.norm) mem_type (lava.magma.core.process.process.Collection attribute) member_names (lava.magma.core.process.process.Collection property) members (lava.magma.core.process.process.Collection property) MessageInfrastructureFactory (class in lava.magma.runtime.message_infrastructure.factory) MessageInfrastructureInterface (class in lava.magma.runtime.message_infrastructure.message_infrastructure_interface) messages (lava.lib.optimization.solvers.generic.hierarchical_processes.NEBMAbstract attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.SimulatedAnnealingAbstract attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.SimulatedAnnealingLocalAbstract attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.StochasticIntegrateAndFire attribute) MGMT_COMMAND (class in lava.magma.runtime.mgmt_token_enums) MGMT_RESPONSE (class in lava.magma.runtime.mgmt_token_enums) min_cost (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel attribute) (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD attribute) min_loss (lava.lib.dl.slayer.utils.LearningStat attribute) (lava.lib.dl.slayer.utils.stats.LearningStat attribute) min_spike_rate (lava.lib.dnf.inputs.rate_code_spike_gen.models.RateCodeSpikeGenProcessModel attribute) mirrors (lava.utils.dataloader.mnist.MnistDataset attribute) MisconfiguredConnectError MisconfiguredOpError MISProblem (class in lava.lib.optimization.utils.generators.mis) mixed (lava.lib.optimization.solvers.generic.dataclasses.ConstraintEnforcing attribute) MIXED (lava.utils.weightutils.SignMode attribute) MixedConstraintsProcess (class in lava.lib.optimization.solvers.generic.hierarchical_processes) MnistDataset (class in lava.utils.dataloader.mnist) Mode (class in lava.lib.dl.bootstrap.routine) MODE (class in lava.lib.dl.slayer.utils.quantize) mode() (lava.lib.dl.bootstrap.routine.Scheduler method) model (lava.magma.core.process.process.AbstractProcess property) (lava.magma.core.process.variable.Var property) model_class (lava.magma.core.process.process.AbstractProcess property) module lava, [1], [2] lava.lib, [1] lava.lib.dl.bootstrap.ann_sampler lava.lib.dl.bootstrap.block lava.lib.dl.bootstrap.block.base lava.lib.dl.bootstrap.block.cuba lava.lib.dl.bootstrap.routine lava.lib.dl.netx.blocks lava.lib.dl.netx.blocks.models lava.lib.dl.netx.blocks.process lava.lib.dl.netx.hdf5 lava.lib.dl.netx.utils lava.lib.dl.slayer.auto lava.lib.dl.slayer.axon lava.lib.dl.slayer.axon.delay lava.lib.dl.slayer.axon.delta lava.lib.dl.slayer.block lava.lib.dl.slayer.block.adrf lava.lib.dl.slayer.block.adrf_iz lava.lib.dl.slayer.block.alif lava.lib.dl.slayer.block.base lava.lib.dl.slayer.block.cuba lava.lib.dl.slayer.block.rf lava.lib.dl.slayer.block.rf_iz lava.lib.dl.slayer.block.sigma_delta lava.lib.dl.slayer.classifier lava.lib.dl.slayer.dendrite lava.lib.dl.slayer.dendrite.sigma lava.lib.dl.slayer.io lava.lib.dl.slayer.loss lava.lib.dl.slayer.neuron lava.lib.dl.slayer.neuron.adrf lava.lib.dl.slayer.neuron.adrf_iz lava.lib.dl.slayer.neuron.alif lava.lib.dl.slayer.neuron.base lava.lib.dl.slayer.neuron.cuba lava.lib.dl.slayer.neuron.dropout lava.lib.dl.slayer.neuron.norm lava.lib.dl.slayer.neuron.rf lava.lib.dl.slayer.neuron.rf_iz lava.lib.dl.slayer.neuron.sigma_delta lava.lib.dl.slayer.spike lava.lib.dl.slayer.spike.complex lava.lib.dl.slayer.spike.spike lava.lib.dl.slayer.synapse lava.lib.dl.slayer.synapse.complex lava.lib.dl.slayer.synapse.layer lava.lib.dl.slayer.utils lava.lib.dl.slayer.utils.assistant lava.lib.dl.slayer.utils.filter lava.lib.dl.slayer.utils.int_utils lava.lib.dl.slayer.utils.quantize lava.lib.dl.slayer.utils.stats lava.lib.dl.slayer.utils.time lava.lib.dl.slayer.utils.utils lava.lib.dnf lava.lib.dnf.connect lava.lib.dnf.connect.connect lava.lib.dnf.connect.exceptions lava.lib.dnf.inputs lava.lib.dnf.inputs.gauss_pattern lava.lib.dnf.inputs.gauss_pattern.models lava.lib.dnf.inputs.gauss_pattern.process lava.lib.dnf.inputs.rate_code_spike_gen lava.lib.dnf.inputs.rate_code_spike_gen.models lava.lib.dnf.inputs.rate_code_spike_gen.process lava.lib.dnf.kernels lava.lib.dnf.kernels.kernels lava.lib.dnf.operations lava.lib.dnf.operations.enums lava.lib.dnf.operations.exceptions lava.lib.dnf.operations.operations lava.lib.dnf.operations.shape_handlers lava.lib.dnf.utils lava.lib.dnf.utils.convenience lava.lib.dnf.utils.math lava.lib.dnf.utils.plotting lava.lib.dnf.utils.validation lava.lib.optimization lava.lib.optimization.problems lava.lib.optimization.problems.bayesian lava.lib.optimization.problems.bayesian.models lava.lib.optimization.problems.bayesian.processes lava.lib.optimization.problems.coefficients lava.lib.optimization.problems.constraints lava.lib.optimization.problems.cost lava.lib.optimization.problems.problems lava.lib.optimization.problems.variables lava.lib.optimization.solvers lava.lib.optimization.solvers.bayesian lava.lib.optimization.solvers.bayesian.models lava.lib.optimization.solvers.bayesian.processes lava.lib.optimization.solvers.bayesian.solver lava.lib.optimization.solvers.generic lava.lib.optimization.solvers.generic.builder lava.lib.optimization.solvers.generic.cost_integrator lava.lib.optimization.solvers.generic.cost_integrator.models lava.lib.optimization.solvers.generic.cost_integrator.process lava.lib.optimization.solvers.generic.dataclasses lava.lib.optimization.solvers.generic.hierarchical_processes lava.lib.optimization.solvers.generic.monitoring_processes lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.process lava.lib.optimization.solvers.generic.processes lava.lib.optimization.solvers.generic.read_gate lava.lib.optimization.solvers.generic.read_gate.models lava.lib.optimization.solvers.generic.read_gate.process lava.lib.optimization.solvers.generic.scif lava.lib.optimization.solvers.generic.scif.models lava.lib.optimization.solvers.generic.scif.process lava.lib.optimization.solvers.generic.solver lava.lib.optimization.solvers.generic.sub_process_models lava.lib.optimization.solvers.qp lava.lib.optimization.utils lava.lib.optimization.utils.generators lava.lib.optimization.utils.generators.mis lava.lib.optimization.utils.solver_tuner lava.magma lava.magma.compiler lava.magma.compiler.builders lava.magma.compiler.builders.channel_builder lava.magma.compiler.builders.interfaces lava.magma.compiler.builders.py_builder lava.magma.compiler.builders.runtimeservice_builder lava.magma.compiler.channel_map lava.magma.compiler.channels lava.magma.compiler.channels.interfaces lava.magma.compiler.channels.pypychannel lava.magma.compiler.compiler lava.magma.compiler.compiler_graphs lava.magma.compiler.compiler_utils lava.magma.compiler.exceptions lava.magma.compiler.executable lava.magma.compiler.mappable_interface lava.magma.compiler.mapper lava.magma.compiler.node lava.magma.compiler.subcompilers lava.magma.compiler.subcompilers.address lava.magma.compiler.subcompilers.channel_builders_factory lava.magma.compiler.subcompilers.channel_map_updater lava.magma.compiler.subcompilers.constants lava.magma.compiler.subcompilers.exceptions lava.magma.compiler.subcompilers.interfaces lava.magma.compiler.subcompilers.py lava.magma.compiler.subcompilers.py.pyproc_compiler lava.magma.compiler.utils lava.magma.compiler.var_model lava.magma.core lava.magma.core.callback_fx lava.magma.core.decorator lava.magma.core.learning lava.magma.core.learning.constants lava.magma.core.learning.learning_rule lava.magma.core.learning.learning_rule_applier lava.magma.core.learning.product_series lava.magma.core.learning.random lava.magma.core.learning.string_symbols lava.magma.core.learning.symbolic_equation lava.magma.core.learning.utils lava.magma.core.model lava.magma.core.model.interfaces lava.magma.core.model.model lava.magma.core.model.py lava.magma.core.model.py.connection lava.magma.core.model.py.model lava.magma.core.model.py.neuron lava.magma.core.model.py.ports lava.magma.core.model.py.type lava.magma.core.model.spike_type lava.magma.core.model.sub lava.magma.core.model.sub.model lava.magma.core.process lava.magma.core.process.connection lava.magma.core.process.interfaces lava.magma.core.process.message_interface_enum lava.magma.core.process.neuron lava.magma.core.process.ports lava.magma.core.process.ports.exceptions lava.magma.core.process.ports.ports lava.magma.core.process.ports.reduce_ops lava.magma.core.process.process lava.magma.core.process.variable lava.magma.core.resources lava.magma.core.run_conditions lava.magma.core.run_configs lava.magma.core.sync lava.magma.core.sync.domain lava.magma.core.sync.protocol lava.magma.core.sync.protocols lava.magma.core.sync.protocols.async_protocol lava.magma.core.sync.protocols.loihi_protocol lava.magma.runtime lava.magma.runtime.message_infrastructure lava.magma.runtime.message_infrastructure.factory lava.magma.runtime.message_infrastructure.message_infrastructure_interface lava.magma.runtime.message_infrastructure.multiprocessing lava.magma.runtime.message_infrastructure.nx lava.magma.runtime.mgmt_token_enums lava.magma.runtime.runtime lava.magma.runtime.runtime_services lava.magma.runtime.runtime_services.channel_broker lava.magma.runtime.runtime_services.channel_broker.channel_broker lava.magma.runtime.runtime_services.enums lava.magma.runtime.runtime_services.interfaces lava.magma.runtime.runtime_services.runtime_service lava.proc lava.proc.conv lava.proc.conv.models lava.proc.conv.process lava.proc.conv.utils lava.proc.dense lava.proc.dense.models lava.proc.dense.process lava.proc.io lava.proc.io.dataloader lava.proc.io.encoder lava.proc.io.reset lava.proc.io.sink lava.proc.io.source lava.proc.learning_rules lava.proc.learning_rules.r_stdp_learning_rule lava.proc.learning_rules.stdp_learning_rule lava.proc.lif lava.proc.lif.models lava.proc.lif.process lava.proc.monitor lava.proc.monitor.models lava.proc.monitor.process lava.proc.receiver lava.proc.receiver.models lava.proc.receiver.process lava.proc.sdn lava.proc.sdn.models lava.proc.sdn.process lava.proc.spiker lava.proc.spiker.models lava.proc.spiker.process lava.utils lava.utils.dataloader lava.utils.dataloader.mnist lava.utils.profiler lava.utils.system lava.utils.weightutils

momentum (lava.lib.dl.slayer.neuron.norm.MeanOnlyBatchNorm attribute) (lava.lib.dl.slayer.neuron.norm.WgtScaleBatchNorm attribute) Monitor (class in lava.proc.monitor.process) MovingWindow (class in lava.lib.dl.slayer.classifier) msg_queue_id (lava.magma.compiler.var_model.NcSpikeIOVarModel attribute) MultiPeakKernel (class in lava.lib.dnf.kernels.kernels) Multiplication (class in lava.magma.core.learning.symbolic_equation) multiplicity (lava.magma.compiler.channel_map.Payload attribute) MultiProcessing (class in lava.magma.runtime.message_infrastructure.multiprocessing) (lava.magma.core.process.message_interface_enum.ActorType attribute)

N

N2 (lava.magma.runtime.runtime_services.enums.LoihiVersion attribute) N3 (lava.magma.runtime.runtime_services.enums.LoihiVersion attribute) N3LogicalNeuroCore (class in lava.magma.compiler.mapper) Nahuku (class in lava.magma.core.resources) name (lava.magma.compiler.channels.interfaces.AbstractCspPort property) (lava.magma.compiler.channels.pypychannel.CspRecvPort property) (lava.magma.compiler.channels.pypychannel.CspSendPort property) (lava.magma.compiler.utils.PortInitializer attribute) (lava.magma.compiler.utils.VarInitializer attribute) (lava.magma.compiler.utils.VarPortInitializer attribute) (lava.magma.core.process.interfaces.AbstractProcessMember property) nbytes (lava.magma.compiler.channels.pypychannel.Proto attribute) nbytes() (lava.magma.compiler.channels.pypychannel.PyPyChannel method) NC (lava.magma.compiler.compiler_graphs.ProcessModelTypes attribute) NcC (lava.magma.compiler.channels.interfaces.ChannelType attribute) NcConvSpikeInVarModel (class in lava.magma.compiler.var_model) NCHW (lava.proc.conv.utils.TensorOrder attribute) NcL2ModelPG (class in lava.lib.optimization.solvers.generic.solver) NcL2ModelPI (class in lava.lib.optimization.solvers.generic.solver) NcLogicalAddress (class in lava.magma.compiler.subcompilers.address) NcModelDense (class in lava.lib.optimization.solvers.generic.solver) NcModelSparse (class in lava.lib.optimization.solvers.generic.solver) NcNc (lava.magma.compiler.channels.interfaces.ChannelType attribute) NcProcCompiler (class in lava.magma.compiler.compiler) NcProcessBuilder (class in lava.magma.compiler.compiler) (class in lava.magma.compiler.compiler_utils) NcPy (lava.magma.compiler.channels.interfaces.ChannelType attribute) NcPyChannel (class in lava.magma.runtime.message_infrastructure.multiprocessing) NcSpikeIOVarModel (class in lava.magma.compiler.var_model) NcVarModel (class in lava.magma.compiler.var_model) NcVirtualAddress (class in lava.magma.compiler.subcompilers.address) NEBMAbstract (class in lava.lib.optimization.solvers.generic.hierarchical_processes) NEBMAbstractModel (class in lava.lib.optimization.solvers.generic.sub_process_models) NEBMNcModel (class in lava.lib.optimization.solvers.generic.solver) net (lava.lib.dl.slayer.utils.Assistant attribute) (lava.lib.dl.slayer.utils.assistant.Assistant attribute) NetDict (class in lava.lib.dl.netx.utils) NetL2 (class in lava.lib.optimization.solvers.generic.sub_process_models) Network (class in lava.lib.dl.netx.hdf5) NeuroCore (class in lava.magma.core.resources) Neuron (class in lava.lib.dl.slayer.neuron.adrf) (class in lava.lib.dl.slayer.neuron.adrf_iz) (class in lava.lib.dl.slayer.neuron.alif) (class in lava.lib.dl.slayer.neuron.base) (class in lava.lib.dl.slayer.neuron.cuba) (class in lava.lib.dl.slayer.neuron.rf) (class in lava.lib.dl.slayer.neuron.rf_iz) (class in lava.lib.dl.slayer.neuron.sigma_delta) neuron_group_id (lava.magma.compiler.var_model.LoihiNeuronAddress attribute) neuron_params() (in module lava.lib.dl.slayer.neuron.adrf) (in module lava.lib.dl.slayer.neuron.adrf_iz) (in module lava.lib.dl.slayer.neuron.alif) (in module lava.lib.dl.slayer.neuron.cuba) (in module lava.lib.dl.slayer.neuron.rf) (in module lava.lib.dl.slayer.neuron.rf_iz) (in module lava.lib.dl.slayer.neuron.sigma_delta) NEUTRAL (lava.magma.compiler.compiler_graphs.NodeAnnotation attribute) new_dims_shape (lava.lib.dnf.operations.shape_handlers.ExpandDimsShapeHandler property) new_line() (lava.lib.dl.slayer.utils.LearningStats method) (lava.lib.dl.slayer.utils.stats.LearningStats method)

next_point_out (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) Node (class in lava.magma.compiler.node) node_cfg (lava.magma.runtime.runtime.Runtime property) node_configs (lava.magma.compiler.executable.Executable attribute) node_id (lava.magma.compiler.var_model.AbstractVarModel attribute) NodeAnnotation (class in lava.magma.compiler.compiler_graphs) NodeConfig (class in lava.magma.compiler.node) nodes (lava.magma.compiler.node.NodeConfig property) noise_ampl (lava.lib.optimization.solvers.generic.scif.models.PyModelAbstractScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) noise_prec (lava.lib.optimization.solvers.generic.scif.models.PyModelAbstractScifFixed attribute) noise_shift (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) NoProcessModelFound NORMAL (lava.magma.compiler.subcompilers.constants.EMBEDDED_ALLOCATION_ORDER attribute) NULL (lava.utils.weightutils.SignMode attribute) null_pattern (lava.lib.dnf.inputs.gauss_pattern.models.GaussPatternProcessModel attribute) num_delay_bits() (in module lava.lib.dl.netx.utils) num_dims() (in module lava.lib.dnf.utils.convenience) num_edges (lava.lib.optimization.utils.generators.mis.MISProblem property) num_features (lava.lib.dl.slayer.neuron.norm.MeanOnlyBatchNorm attribute) (lava.lib.dl.slayer.neuron.norm.WgtScaleBatchNorm attribute) num_filter (lava.lib.dl.slayer.utils.filter.FIRBank property) num_ips (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) num_iterations (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) num_message_bits (lava.magma.compiler.var_model.NcSpikeIOVarModel attribute) (lava.proc.conv.models.AbstractPyConvModel attribute) (lava.proc.dense.models.AbstractPyDenseModelBitAcc attribute) (lava.proc.dense.models.AbstractPyDenseModelFloat attribute) (lava.proc.dense.models.PyDelayDenseModelBitAcc attribute) (lava.proc.dense.models.PyDelayDenseModelFloat attribute) num_neurons() (in module lava.lib.dnf.utils.convenience) num_objectives (lava.lib.optimization.problems.bayesian.models.PyDualInputFunctionModel attribute) (lava.lib.optimization.problems.bayesian.models.PySingleInputFunctionModel attribute) (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) num_params (lava.lib.optimization.problems.bayesian.models.PyDualInputFunctionModel attribute) (lava.lib.optimization.problems.bayesian.models.PySingleInputFunctionModel attribute) num_processes (lava.magma.core.process.process.ProcessServer property) num_procs_post_subproc_expansion (lava.magma.compiler.compiler_graphs.ProcGroupDiGraphs property) num_procs_pre_pm_discovery (lava.magma.compiler.compiler_graphs.ProcGroupDiGraphs property) num_samples (lava.lib.dl.slayer.utils.LearningStat attribute) (lava.lib.dl.slayer.utils.stats.LearningStat attribute) num_time_bits (lava.magma.compiler.var_model.TimeCompare attribute) num_variables (lava.lib.optimization.problems.problems.QP property) (lava.lib.optimization.problems.problems.QUBO property) (lava.lib.optimization.problems.variables.ContinuousVariables property) (lava.lib.optimization.problems.variables.DiscreteVariables property) num_vars (lava.magma.core.process.variable.VarServer property) num_vertices (lava.lib.optimization.utils.generators.mis.MISProblem property) num_weight_bits (lava.proc.conv.models.AbstractPyConvModel attribute) (lava.utils.weightutils.OptimizedWeights attribute) NWHC (lava.proc.conv.utils.TensorOrder attribute) NxBoard (class in lava.magma.core.callback_fx) (class in lava.magma.runtime.runtime_services.channel_broker.channel_broker) NxBoardMsgInterface (class in lava.magma.runtime.message_infrastructure.nx) NxSdkCallbackFx (class in lava.magma.core.callback_fx) NxSdkPhase (class in lava.magma.runtime.runtime_services.enums) NxSdkRuntimeService (class in lava.magma.compiler.builders.runtimeservice_builder) (class in lava.magma.core.sync.protocols.loihi_protocol)

O

obj (lava.magma.compiler.subcompilers.py.pyproc_compiler.Offset attribute) Offset (class in lava.magma.compiler.subcompilers.py.pyproc_compiler) offset (lava.proc.io.dataloader.AbstractPyDataloaderModel attribute) (lava.proc.io.reset.AbstractPyReset attribute) (lava.proc.io.sink.AbstractPyRead attribute) OheoGulch (class in lava.magma.core.resources) on_var_update() (lava.magma.core.model.py.connection.PyLearningConnection method) (lava.magma.core.model.py.model.AbstractPyProcessModel method) Operator (class in lava.magma.core.learning.symbolic_equation) OptimizationProblem (class in lava.lib.optimization.problems.problems) OptimizationSolver (class in lava.lib.optimization.solvers.generic.solver) optimize_weight_bits() (in module lava.lib.dl.netx.utils) (in module lava.utils.weightutils) OptimizedWeights (class in lava.utils.weightutils) optimizer (lava.lib.dl.slayer.utils.Assistant attribute) (lava.lib.dl.slayer.utils.assistant.Assistant attribute) order (lava.lib.dnf.operations.shape_handlers.ReorderDimsShapeHandler property) out_channels (lava.lib.dl.slayer.synapse.Conv attribute) (lava.lib.dl.slayer.synapse.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.Dense attribute) (lava.lib.dl.slayer.synapse.layer.Conv attribute) (lava.lib.dl.slayer.synapse.layer.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.layer.Dense attribute) (lava.lib.dl.slayer.synapse.layer.Pool attribute) (lava.lib.dl.slayer.synapse.layer.Unpool attribute) (lava.lib.dl.slayer.synapse.Pool attribute) (lava.lib.dl.slayer.synapse.Unpool attribute)

out_read_0 (lava.proc.monitor.models.PyMonitorModel attribute) OUTLIKE (lava.magma.compiler.compiler_graphs.NodeAnnotation attribute) OutPort (class in lava.magma.core.process.ports.ports) Output (class in lava.lib.dl.slayer.block.sigma_delta) output_shape (lava.lib.dnf.operations.operations.AbstractOperation property) (lava.lib.dnf.operations.shape_handlers.AbstractShapeHandler property) output_shape() (in module lava.proc.conv.utils) OVERWRITE (lava.magma.core.learning.constants.GradedSpikeCfg attribute) overwrite() (lava.magma.core.process.process.ProcessParameters method)

P

p (lava.magma.compiler.var_model.CoreEncoder attribute) p_address (lava.magma.compiler.builders.interfaces.MappedResource property) PACKED_4 (lava.proc.io.encoder.Compression attribute), [1] PADDED (lava.lib.dnf.operations.enums.BorderType attribute) padding (lava.lib.dl.slayer.synapse.Conv attribute) (lava.lib.dl.slayer.synapse.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.layer.Conv attribute) (lava.lib.dl.slayer.synapse.layer.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.layer.Pool attribute) (lava.lib.dl.slayer.synapse.layer.Unpool attribute) (lava.lib.dl.slayer.synapse.Pool attribute) (lava.lib.dl.slayer.synapse.Unpool attribute) (lava.proc.conv.models.AbstractPyConvModel attribute) padding_value (lava.lib.dnf.kernels.kernels.Kernel property) params_names (lava.lib.optimization.utils.solver_tuner.SolverTuner property) partition (lava.utils.system.Loihi2 attribute) pattern (lava.lib.dnf.inputs.gauss_pattern.models.GaussPatternProcessModel attribute) PAUSE (lava.magma.runtime.mgmt_token_enums.MGMT_COMMAND attribute) pause() (lava.magma.core.process.process.AbstractProcess method) (lava.magma.runtime.runtime.Runtime method) PAUSED (lava.magma.runtime.mgmt_token_enums.MGMT_RESPONSE attribute) Payload (class in lava.magma.compiler.channel_map) payload (lava.magma.compiler.var_model.SpikeEncoder attribute) (lava.proc.receiver.models.ReceiverModel attribute) (lava.proc.spiker.models.SpikerModel attribute) PB (class in lava.magma.core.resources) peek() (lava.magma.compiler.channels.pypychannel.CspRecvPort method) (lava.magma.core.model.py.ports.PyInPort method) (lava.magma.core.model.py.ports.PyInPortScalarDense method) (lava.magma.core.model.py.ports.PyInPortScalarSparse method) (lava.magma.core.model.py.ports.PyInPortVectorDense method) (lava.magma.core.model.py.ports.PyInPortVectorSparse method) (lava.magma.core.model.py.ports.PyVarPortScalarDense method) (lava.magma.core.model.py.ports.PyVarPortScalarSparse method) (lava.magma.core.model.py.ports.PyVarPortVectorSparse method) period (lava.lib.dl.slayer.neuron.adrf.Neuron property) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron property) (lava.lib.dl.slayer.neuron.rf.Neuron property) (lava.lib.dl.slayer.neuron.rf_iz.Neuron property) persistent_state (lava.lib.dl.slayer.axon.Delta attribute) (lava.lib.dl.slayer.axon.delta.Delta attribute) (lava.lib.dl.slayer.dendrite.Sigma attribute) (lava.lib.dl.slayer.dendrite.sigma.Sigma attribute) Phase (class in lava.magma.core.sync.protocols.loihi_protocol) (class in lava.magma.runtime.runtime_services.channel_broker.channel_broker) phases (lava.magma.core.sync.protocols.async_protocol.AsyncProtocol attribute) (lava.magma.core.sync.protocols.loihi_protocol.LoihiProtocol attribute) physical_chip_id (lava.magma.compiler.var_model.LoihiAddress attribute) physical_chip_idx (lava.magma.compiler.var_model.Region attribute) physical_core_id (lava.magma.compiler.var_model.LoihiAddress attribute) physical_core_idx (lava.magma.compiler.var_model.Region attribute) plot() (lava.lib.dl.bootstrap.ann_sampler.AnnSampler method) (lava.lib.dl.slayer.utils.LearningStats method) (lava.lib.dl.slayer.utils.stats.LearningStats method) (lava.proc.monitor.process.Monitor method) Pohoiki (class in lava.magma.core.resources) poll_c_inports() (lava.magma.runtime.runtime_services.channel_broker.channel_broker.ChannelBroker method) poll_c_outports() (lava.magma.runtime.runtime_services.channel_broker.channel_broker.ChannelBroker method) Pool (class in lava.lib.dl.slayer.block.adrf) (class in lava.lib.dl.slayer.block.adrf_iz) (class in lava.lib.dl.slayer.block.alif) (class in lava.lib.dl.slayer.block.cuba) (class in lava.lib.dl.slayer.block.rf) (class in lava.lib.dl.slayer.block.rf_iz) (class in lava.lib.dl.slayer.block.sigma_delta) (class in lava.lib.dl.slayer.synapse) (class in lava.lib.dl.slayer.synapse.complex) (class in lava.lib.dl.slayer.synapse.layer) POP16_SPIKE (lava.magma.core.model.spike_type.SpikeType attribute) POP32_SPIKE (lava.magma.core.model.spike_type.SpikeType attribute) port_cls (lava.magma.compiler.utils.VarPortInitializer attribute) port_initializer (lava.magma.compiler.builders.channel_builder.RuntimeChannelBuilderMp attribute) (lava.magma.compiler.builders.channel_builder.ServiceChannelBuilderMp attribute) port_type (lava.magma.compiler.utils.PortInitializer attribute) (lava.magma.compiler.utils.VarPortInitializer attribute) PortInitializer (class in lava.magma.compiler.utils) PortPair (class in lava.magma.compiler.channel_map) post_guard() (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD method) (lava.magma.core.model.py.model.PyLoihiProcessModel method) (lava.proc.io.dataloader.AbstractPySpikeDataloaderModel method) (lava.proc.io.dataloader.AbstractPyStateDataloaderModel method) (lava.proc.io.reset.AbstractPyReset method) (lava.proc.io.sink.AbstractPyRead method) (lava.proc.monitor.models.PyMonitorModel method) post_init() (lava.proc.monitor.process.Monitor method) POST_MGMT (lava.magma.core.model.py.model.PyLoihiProcessModel.Phase attribute) (lava.magma.core.sync.protocols.loihi_protocol.Phase attribute) (lava.magma.runtime.runtime_services.enums.LoihiPhase attribute) (lava.magma.runtime.runtime_services.runtime_service.LoihiPyRuntimeService.Phase attribute) post_run_callback() (lava.magma.core.callback_fx.IterableCallBack method) (lava.magma.core.callback_fx.NxSdkCallbackFx method) postconditioner (lava.lib.optimization.problems.problems.QP property) pre_guard() (lava.magma.core.model.py.model.PyLoihiProcessModel method) pre_hook_fx (lava.lib.dl.slayer.neuron.norm.MeanOnlyBatchNorm attribute) (lava.lib.dl.slayer.neuron.norm.WgtScaleBatchNorm attribute) (lava.lib.dl.slayer.synapse.complex.ComplexLayer property) (lava.lib.dl.slayer.synapse.layer.GenericLayer property) PRE_MGMT (lava.magma.core.model.py.model.PyLoihiProcessModel.Phase attribute) (lava.magma.core.sync.protocols.loihi_protocol.Phase attribute) (lava.magma.runtime.runtime_services.enums.LoihiPhase attribute) (lava.magma.runtime.runtime_services.runtime_service.LoihiPyRuntimeService.Phase attribute) pre_run_callback() (lava.magma.core.callback_fx.IterableCallBack method) (lava.magma.core.callback_fx.NxSdkCallbackFx method) pre_state (lava.lib.dl.slayer.axon.Delta attribute) (lava.lib.dl.slayer.axon.delta.Delta attribute) (lava.lib.dl.slayer.dendrite.Sigma attribute) (lava.lib.dl.slayer.dendrite.sigma.Sigma attribute) precision (lava.magma.core.model.py.type.LavaPyType attribute) precondition_problem() (lava.lib.optimization.problems.problems.QP method) predict() (lava.lib.dl.slayer.classifier.MovingWindow method) (lava.lib.dl.slayer.classifier.Rate static method) preferred_partition (lava.utils.system.Loihi2 attribute) print() (lava.lib.dl.slayer.utils.LearningStats method) (lava.lib.dl.slayer.utils.stats.LearningStats method) probe() (lava.magma.compiler.channels.pypychannel.CspRecvPort method) (lava.magma.compiler.channels.pypychannel.CspSendPort method) (lava.magma.core.model.py.ports.PyInPort method) (lava.proc.monitor.process.Monitor method) probe_cost (lava.lib.optimization.solvers.generic.solver.SolverConfig attribute) probe_energy (lava.lib.optimization.solvers.generic.solver.SolverConfig attribute) probe_state (lava.lib.optimization.solvers.generic.solver.SolverConfig attribute) probe_time (lava.lib.optimization.solvers.generic.solver.SolverConfig attribute)

problem (lava.lib.optimization.solvers.generic.solver.SolverReport attribute) proc_builders (lava.magma.compiler.executable.Executable attribute) Proc_Function_With_Guard (class in lava.magma.core.sync.protocols.loihi_protocol) proc_functions (lava.magma.core.sync.protocols.async_protocol.AsyncProtocol attribute) (lava.magma.core.sync.protocols.loihi_protocol.LoihiProtocol attribute) proc_group_digraph (lava.magma.compiler.compiler_graphs.ProcGroupDiGraphs property) proc_model (lava.magma.compiler.builders.interfaces.AbstractProcessBuilder property) ProcDiGraph (class in lava.magma.compiler.compiler_graphs) process (lava.magma.core.process.interfaces.AbstractProcessMember property) (lava.magma.core.process.ports.ports.AbstractVirtualPort property) process_list (lava.magma.compiler.executable.Executable attribute) process_result_vector() (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel method) process_spikes() (lava.proc.lif.models.PyLifRefractoryModelFloat method) ProcessAlreadyCompiled ProcessModelTypes (class in lava.magma.compiler.compiler_graphs) ProcessParameters (class in lava.magma.core.process.process) ProcessPostInitCaller (class in lava.magma.core.process.process) ProcessServer (class in lava.magma.core.process.process) ProcGroupDiGraphs (class in lava.magma.compiler.compiler_graphs) Product (class in lava.magma.core.learning.product_series) products (lava.magma.core.learning.product_series.ProductSeries property) ProductSeries (class in lava.magma.core.learning.product_series) profile_id (lava.magma.compiler.var_model.LoihiInAxonAddress attribute) Profiler (class in lava.utils.profiler) profiler (lava.lib.optimization.solvers.generic.solver.SolverReport attribute) propagate_folded_views() (lava.magma.core.process.process.AbstractProcess method) Proto (class in lava.magma.compiler.channels.pypychannel) ProximalGradientMinimizer (class in lava.lib.optimization.solvers.generic.dataclasses) ptr (lava.magma.compiler.var_model.ByteEncoder attribute) PUREIN (lava.magma.compiler.compiler_graphs.NodeAnnotation attribute) PUREOUT (lava.magma.compiler.compiler_graphs.NodeAnnotation attribute) PY (lava.magma.compiler.compiler_graphs.ProcessModelTypes attribute) PY_NC (lava.magma.compiler.utils.LoihiConnectedPortType attribute) PyAsyncProcessModel (class in lava.magma.core.model.py.model) PyAsyncProcessModel.Response (class in lava.magma.core.model.py.model) PyBayesianOptimizerModel (class in lava.lib.optimization.solvers.bayesian.models) PyC (lava.magma.compiler.channels.interfaces.ChannelType attribute) PyCChannel (class in lava.magma.runtime.message_infrastructure.multiprocessing) PyComplexDenseModel (class in lava.lib.dl.netx.blocks.models) PyComplexInputModel (class in lava.lib.dl.netx.blocks.models) PyConvModel (class in lava.lib.dl.netx.blocks.models) PyConvModelFixed (class in lava.proc.conv.models) PyConvModelFloat (class in lava.proc.conv.models) PyDelayDenseModelBitAcc (class in lava.proc.dense.models) PyDelayDenseModelFloat (class in lava.proc.dense.models) PyDeltaEncoderModelDense (class in lava.proc.io.encoder) PyDeltaEncoderModelSparse (class in lava.proc.io.encoder) PyDeltaModelFixed (class in lava.proc.sdn.models) PyDeltaModelFloat (class in lava.proc.sdn.models) PyDenseModel (class in lava.lib.dl.netx.blocks.models) PyDenseModelBitAcc (class in lava.proc.dense.models) PyDenseModelFloat (class in lava.proc.dense.models) PyDualInputFunctionModel (class in lava.lib.optimization.problems.bayesian.models) PyInPort (class in lava.magma.core.model.py.ports) PyInPortScalarDense (class in lava.magma.core.model.py.ports) PyInPortScalarSparse (class in lava.magma.core.model.py.ports) PyInPortVectorDense (class in lava.magma.core.model.py.ports) PyInPortVectorSparse (class in lava.magma.core.model.py.ports) PyInputModel (class in lava.lib.dl.netx.blocks.models) PyLearningConnection (class in lava.magma.core.model.py.connection) PyLearningDenseModelBitApproximate (class in lava.proc.dense.models) PyLearningDenseModelFloat (class in lava.proc.dense.models) PyLearningLIFModelFixed (class in lava.proc.lif.models) PyLearningLifModelFloat (class in lava.proc.lif.models) PyLifModelBitAcc (class in lava.proc.lif.models) PyLifModelFloat (class in lava.proc.lif.models) PyLifRefractoryModelFloat (class in lava.proc.lif.models) PyLifResetModelBitAcc (class in lava.proc.lif.models) PyLifResetModelFloat (class in lava.proc.lif.models) PyLoihiModelToPyAsyncModel() (in module lava.magma.core.model.py.model) PyLoihiProcessModel (class in lava.magma.core.model.py.model) PyLoihiProcessModel.Phase (class in lava.magma.core.model.py.model) PyLoihiProcessModel.Response (class in lava.magma.core.model.py.model) PyModelAbstractScifFixed (class in lava.lib.optimization.solvers.generic.scif.models) PyModelCspScifFixed (class in lava.lib.optimization.solvers.generic.scif.models) PyModelQuboScifFixed (class in lava.lib.optimization.solvers.generic.scif.models) PyModelQuboScifRefracFixed (class in lava.lib.optimization.solvers.generic.scif.models) PyMonitorModel (class in lava.proc.monitor.models) PyNc (lava.magma.compiler.channels.interfaces.ChannelType attribute) PyNcChannel (class in lava.magma.runtime.message_infrastructure.multiprocessing) PyNetworkModel (class in lava.lib.dl.netx.hdf5) PyOutPort (class in lava.magma.core.model.py.ports) PyOutPortScalarDense (class in lava.magma.core.model.py.ports) PyOutPortScalarSparse (class in lava.magma.core.model.py.ports) PyOutPortVectorDense (class in lava.magma.core.model.py.ports) PyOutPortVectorSparse (class in lava.magma.core.model.py.ports) PyProcCompiler (class in lava.magma.compiler.subcompilers.py.pyproc_compiler) PyProcessBuilder (class in lava.magma.compiler.builders.py_builder) PyPy (lava.magma.compiler.channels.interfaces.ChannelType attribute) PyPyChannel (class in lava.magma.compiler.channels.pypychannel) PyReadFixed (class in lava.proc.io.sink) PyReadFloat (class in lava.proc.io.sink) PyReceiveModelFixed (class in lava.proc.io.sink) PyReceiveModelFloat (class in lava.proc.io.sink) PyRefPort (class in lava.magma.core.model.py.ports) PyRefPortScalarDense (class in lava.magma.core.model.py.ports) PyRefPortScalarSparse (class in lava.magma.core.model.py.ports) PyRefPortVectorDense (class in lava.magma.core.model.py.ports) PyRefPortVectorSparse (class in lava.magma.core.model.py.ports) PyResetFixed (class in lava.proc.io.reset) PyResetFloat (class in lava.proc.io.reset) PyRuntimeService (class in lava.magma.runtime.runtime_services.runtime_service) PySendModelFixed (class in lava.proc.io.source) PySendModelFloat (class in lava.proc.io.source) PySigmaDeltaModelFixed (class in lava.proc.sdn.models) PySigmaDeltaModelFixedCorrected (class in lava.proc.sdn.models) PySigmaDeltaModelFloat (class in lava.proc.sdn.models) PySigmaModelFixed (class in lava.proc.sdn.models) PySigmaModelFloat (class in lava.proc.sdn.models) PySingleInputFunctionModel (class in lava.lib.optimization.problems.bayesian.models) PySpikeModelFixed (class in lava.proc.io.dataloader) PySpikeModelFloat (class in lava.proc.io.dataloader) PyStateModelFixed (class in lava.proc.io.dataloader) PyStateModelFloat (class in lava.proc.io.dataloader) PyTernLifModelFixed (class in lava.proc.lif.models) PyTernLifModelFloat (class in lava.proc.lif.models) PyVarModel (class in lava.magma.compiler.var_model) PyVarPort (class in lava.magma.core.model.py.ports) PyVarPortScalarDense (class in lava.magma.core.model.py.ports) PyVarPortScalarSparse (class in lava.magma.core.model.py.ports) PyVarPortVectorDense (class in lava.magma.core.model.py.ports) PyVarPortVectorSparse (class in lava.magma.core.model.py.ports)

Q

Q2Zero (class in lava.lib.dl.slayer.utils.int_utils) QP (class in lava.lib.optimization.problems.problems) quantize() (in module lava.lib.dl.slayer.utils) (in module lava.lib.dl.slayer.utils.quantize)

quantize_8bit() (lava.lib.dl.slayer.neuron.base.Neuron method) quantize_hook_fx() (in module lava.lib.dl.slayer.utils.quantize) QUANTIZE_MODE (in module lava.lib.dl.slayer.utils) QUBO (class in lava.lib.optimization.problems.problems) QuboScif (class in lava.lib.optimization.solvers.generic.scif.process)

R

random_impulse_addition (lava.magma.core.learning.random.TraceRandom property) random_stochastic_round (lava.magma.core.learning.random.ConnVarRandom property) random_trace_decay (lava.magma.core.learning.random.TraceRandom property) raster_plot() (in module lava.lib.dnf.utils.plotting) Rate (class in lava.lib.dl.slayer.classifier) rate (lava.proc.spiker.models.SpikerModel attribute) rate() (lava.lib.dl.slayer.classifier.MovingWindow method) (lava.lib.dl.slayer.classifier.Rate static method) RateCodeSpikeGen (class in lava.lib.dnf.inputs.rate_code_spike_gen.process) RateCodeSpikeGenProcessModel (class in lava.lib.dnf.inputs.rate_code_spike_gen.models) raw_proc_digraph (lava.magma.compiler.compiler_graphs.ProcGroupDiGraphs property) Read (class in lava.proc.io.sink) read() (lava.magma.core.model.py.ports.PyRefPort method) (lava.magma.core.model.py.ports.PyRefPortScalarDense method) (lava.magma.core.model.py.ports.PyRefPortScalarSparse method) (lava.magma.core.model.py.ports.PyRefPortVectorDense method) (lava.magma.core.model.py.ports.PyRefPortVectorSparse method) read_1d_spikes() (in module lava.lib.dl.slayer.io) read_2d_spikes() (in module lava.lib.dl.slayer.io) read_block() (lava.lib.dl.slayer.auto.SequentialNetwork method) read_from_cache() (lava.magma.compiler.channel_map.ChannelMap method) read_np_spikes() (in module lava.lib.dl.slayer.io) read_solution (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel attribute) (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.process.SolutionReadout attribute) ReadGate (class in lava.lib.optimization.solvers.generic.read_gate.process) readgate_post_guard() (in module lava.lib.optimization.solvers.generic.read_gate.models) readgate_run_post_mgmt() (in module lava.lib.optimization.solvers.generic.read_gate.models) readgate_run_spk() (in module lava.lib.optimization.solvers.generic.read_gate.models) ReadGateCModel (class in lava.lib.optimization.solvers.generic.solver) ReadGatePyModelD (class in lava.lib.optimization.solvers.generic.read_gate.models) real (lava.lib.dl.slayer.synapse.complex.Conv attribute) (lava.lib.dl.slayer.synapse.complex.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.complex.Dense attribute) (lava.lib.dl.slayer.synapse.complex.Pool attribute) (lava.lib.dl.slayer.synapse.complex.Unpool attribute) receive_mode (lava.magma.compiler.var_model.DecodeConfig attribute) Receiver (class in lava.proc.receiver.process) Receiver32Bit (class in lava.proc.receiver.process) ReceiverModel (class in lava.proc.receiver.models) Recurrent (class in lava.lib.dl.slayer.block.adrf) (class in lava.lib.dl.slayer.block.adrf_iz) (class in lava.lib.dl.slayer.block.alif) (class in lava.lib.dl.slayer.block.cuba) (class in lava.lib.dl.slayer.block.rf) (class in lava.lib.dl.slayer.block.rf_iz) RecurrentDense (class in lava.lib.dl.netx.blocks.process) RECV (lava.magma.compiler.builders.channel_builder.WatchdogEnabledMixin attribute) recv() (lava.magma.compiler.channels.interfaces.AbstractCspRecvPort method) (lava.magma.compiler.channels.pypychannel.CspRecvPort method) (lava.magma.core.model.py.ports.PyInPort method) (lava.magma.core.model.py.ports.PyInPortScalarDense method) (lava.magma.core.model.py.ports.PyInPortScalarSparse method) (lava.magma.core.model.py.ports.PyInPortVectorDense method) (lava.magma.core.model.py.ports.PyInPortVectorSparse method) (lava.magma.core.model.py.ports.PyVarPortScalarDense method) (lava.magma.core.model.py.ports.PyVarPortScalarSparse method) (lava.magma.core.model.py.ports.PyVarPortVectorSparse method) recv_traces() (lava.magma.core.model.py.connection.PyLearningConnection method) reduce_dims (lava.lib.dnf.operations.shape_handlers.ReduceDimsShapeHandler property) reduce_lr() (lava.lib.dl.slayer.utils.Assistant method) (lava.lib.dl.slayer.utils.assistant.Assistant method) ReduceAlongDiagonal (class in lava.lib.dnf.operations.operations) ReduceAlongDiagonalShapeHandler (class in lava.lib.dnf.operations.shape_handlers) ReduceDims (class in lava.lib.dnf.operations.operations) ReduceDimsShapeHandler (class in lava.lib.dnf.operations.shape_handlers) ReduceMethod (class in lava.lib.dnf.operations.enums) ReduceSum (class in lava.magma.core.process.ports.reduce_ops) ref_delay (lava.lib.dl.slayer.neuron.alif.Neuron property) (lava.lib.dl.slayer.neuron.cuba.Neuron property) ref_port (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.process.SolutionReadout attribute) ref_port_0 (lava.proc.monitor.models.PyMonitorModel attribute) RefPort (class in lava.magma.core.process.ports.ports) refractory_period_end (lava.proc.lif.models.PyLifRefractoryModelFloat attribute) RefVarTypeMapping (class in lava.magma.core.model.py.ports) Region (class in lava.magma.compiler.var_model) region_map (lava.magma.compiler.var_model.NcConvSpikeInVarModel attribute) regions (lava.magma.compiler.var_model.ConvInVarModel attribute) register() (lava.magma.core.process.process.ProcessServer method) (lava.magma.core.process.variable.VarServer method) register_length (lava.magma.compiler.var_model.LoihiVarModel attribute) register_name (lava.magma.compiler.var_model.LoihiVarModel attribute) register_sub_procs() (lava.magma.core.process.process.AbstractProcess method) relations (lava.lib.optimization.problems.constraints.DiscreteConstraints property) RELU (lava.proc.sdn.process.ActivationMode attribute) ReLU() (in module lava.proc.sdn.models) ReorderDims (class in lava.lib.dnf.operations.operations) ReorderDimsShapeHandler (class in lava.lib.dnf.operations.shape_handlers) replace_assignment (lava.lib.optimization.solvers.generic.hierarchical_processes.StochasticIntegrateAndFire attribute) replicate() (in module lava.lib.dl.slayer.utils.time) REQ_LEARNING (lava.magma.core.model.py.model.PyLoihiProcessModel.Response attribute) (lava.magma.runtime.runtime_services.runtime_service.LoihiPyRuntimeService.PMResponse attribute) REQ_PAUSE (lava.magma.core.model.py.model.PyAsyncProcessModel.Response attribute) (lava.magma.core.model.py.model.PyLoihiProcessModel.Response attribute) (lava.magma.runtime.mgmt_token_enums.MGMT_RESPONSE attribute) (lava.magma.runtime.runtime_services.runtime_service.AsyncPyRuntimeService.PMResponse attribute) (lava.magma.runtime.runtime_services.runtime_service.LoihiPyRuntimeService.PMResponse attribute) REQ_POST_LRN_MGMT (lava.magma.core.model.py.model.PyLoihiProcessModel.Response attribute) (lava.magma.runtime.runtime_services.runtime_service.LoihiPyRuntimeService.PMResponse attribute) REQ_PRE_LRN_MGMT (lava.magma.core.model.py.model.PyLoihiProcessModel.Response attribute) (lava.magma.runtime.runtime_services.runtime_service.LoihiPyRuntimeService.PMResponse attribute) REQ_STOP (lava.magma.core.model.py.model.PyAsyncProcessModel.Response attribute) (lava.magma.core.model.py.model.PyLoihiProcessModel.Response attribute) (lava.magma.runtime.mgmt_token_enums.MGMT_RESPONSE attribute) (lava.magma.runtime.runtime_services.runtime_service.AsyncPyRuntimeService.PMResponse attribute) (lava.magma.runtime.runtime_services.runtime_service.LoihiPyRuntimeService.PMResponse attribute) require_nodes() (lava.magma.core.run_configs.RunConfig method) required_resources (lava.lib.dl.netx.blocks.models.AbstractPyBlockModel attribute) (lava.lib.dnf.inputs.gauss_pattern.models.GaussPatternProcessModel attribute) (lava.lib.dnf.inputs.rate_code_spike_gen.models.RateCodeSpikeGenProcessModel attribute) (lava.lib.optimization.problems.bayesian.models.PyDualInputFunctionModel attribute) (lava.lib.optimization.problems.bayesian.models.PySingleInputFunctionModel attribute) (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) (lava.lib.optimization.solvers.generic.cost_integrator.models.CostIntegratorModel attribute) (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel attribute) (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelCspScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) (lava.lib.optimization.solvers.generic.sub_process_models.ContinuousConstraintsModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.ContinuousVariablesModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.CostConvergenceCheckerModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.DiscreteVariablesModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.NEBMAbstractModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.SimulatedAnnealingAbstractModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.SimulatedAnnealingLocalAbstractModel attribute) (lava.lib.optimization.solvers.generic.sub_process_models.StochasticIntegrateAndFireModelSCIF attribute) (lava.magma.core.model.model.AbstractProcessModel attribute) (lava.proc.conv.models.PyConvModelFixed attribute) (lava.proc.conv.models.PyConvModelFloat attribute) (lava.proc.dense.models.PyDelayDenseModelBitAcc attribute) (lava.proc.dense.models.PyDelayDenseModelFloat attribute) (lava.proc.dense.models.PyDenseModelBitAcc attribute) (lava.proc.dense.models.PyDenseModelFloat attribute) (lava.proc.dense.models.PyLearningDenseModelBitApproximate attribute) (lava.proc.dense.models.PyLearningDenseModelFloat attribute) (lava.proc.io.dataloader.AbstractPyDataloaderModel attribute) (lava.proc.io.encoder.AbstractPyDeltaEncoderModel attribute) (lava.proc.io.reset.PyResetFixed attribute) (lava.proc.io.reset.PyResetFloat attribute) (lava.proc.io.sink.PyReadFixed attribute) (lava.proc.io.sink.PyReadFloat attribute) (lava.proc.io.sink.PyReceiveModelFixed attribute) (lava.proc.io.sink.PyReceiveModelFloat attribute) (lava.proc.io.source.PySendModelFixed attribute) (lava.proc.io.source.PySendModelFloat attribute) (lava.proc.lif.models.PyLearningLIFModelFixed attribute) (lava.proc.lif.models.PyLearningLifModelFloat attribute) (lava.proc.lif.models.PyLifModelBitAcc attribute) (lava.proc.lif.models.PyLifModelFloat attribute) (lava.proc.lif.models.PyLifRefractoryModelFloat attribute) (lava.proc.lif.models.PyLifResetModelBitAcc attribute) (lava.proc.lif.models.PyLifResetModelFloat attribute) (lava.proc.lif.models.PyTernLifModelFixed attribute) (lava.proc.lif.models.PyTernLifModelFloat attribute) (lava.proc.monitor.models.PyMonitorModel attribute) (lava.proc.receiver.models.ReceiverModel attribute) (lava.proc.sdn.models.PyDeltaModelFixed attribute) (lava.proc.sdn.models.PyDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixed attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected attribute) (lava.proc.sdn.models.PySigmaDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaModelFixed attribute) (lava.proc.sdn.models.PySigmaModelFloat attribute) (lava.proc.spiker.models.SpikerModel attribute)

requires() (in module lava.magma.core.decorator) requires_grad (lava.lib.dl.slayer.axon.Delta attribute) (lava.lib.dl.slayer.axon.delta.Delta attribute) Reset (class in lava.proc.io.reset) reset() (lava.lib.dl.slayer.utils.LearningStat method) (lava.lib.dl.slayer.utils.stats.LearningStat method) reset_parameters() (lava.lib.dl.slayer.neuron.norm.MeanOnlyBatchNorm method) (lava.lib.dl.slayer.neuron.norm.WgtScaleBatchNorm method) reset_server() (lava.magma.core.process.process.ProcessServer method) (lava.magma.core.process.variable.VarServer method) reset_singleton() (lava.magma.core.process.interfaces.IdGeneratorSingleton class method) reset_value (lava.proc.io.reset.AbstractPyReset attribute) reset_voltage() (lava.proc.lif.models.AbstractPyLifModelFixed method) (lava.proc.lif.models.AbstractPyLifModelFloat method) (lava.proc.lif.models.PyTernLifModelFixed method) (lava.proc.lif.models.PyTernLifModelFloat method) reshape() (lava.magma.core.process.ports.ports.AbstractPort method) ReshapeError ReshapePort (class in lava.magma.core.process.ports.ports) ReshapeShapeHandler (class in lava.lib.dnf.operations.shape_handlers) residual_state (lava.lib.dl.slayer.axon.Delta attribute) (lava.lib.dl.slayer.axon.delta.Delta attribute) residue (lava.proc.io.encoder.AbstractPyDeltaEncoderModel attribute) (lava.proc.sdn.models.AbstractDeltaModel attribute) (lava.proc.sdn.models.AbstractSigmaDeltaModel attribute) (lava.proc.sdn.models.PyDeltaModelFixed attribute) (lava.proc.sdn.models.PyDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixed attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected attribute) (lava.proc.sdn.models.PySigmaDeltaModelFloat attribute) resolved_proc_digraph (lava.magma.compiler.compiler_graphs.ProcGroupDiGraphs property) Resource (class in lava.magma.compiler.builders.interfaces) ResourceAddress (class in lava.magma.compiler.builders.interfaces) ResourceMismatchError resources (lava.magma.core.resources.GenericNode attribute) (lava.magma.core.resources.HeadNode attribute) (lava.magma.core.resources.KapohoBay attribute) (lava.magma.core.resources.KapohoPoint attribute) (lava.magma.core.resources.Nahuku attribute) (lava.magma.core.resources.OheoGulch attribute) (lava.magma.core.resources.Pohoiki attribute) (lava.magma.core.resources.Unalaska attribute) results (lava.lib.optimization.utils.solver_tuner.SolverTuner property) results_in (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) results_log (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) REVERSED (lava.magma.compiler.subcompilers.constants.EMBEDDED_ALLOCATION_ORDER attribute) RewardModulatedSTDP (class in lava.proc.learning_rules.r_stdp_learning_rule) right_shift_to_zero() (in module lava.lib.dl.slayer.utils.int_utils) RingBuffer (class in lava.proc.io.sink) (class in lava.proc.io.source) rng_seed (lava.magma.core.learning.learning_rule.LoihiLearningRule property) ROUND (lava.lib.dl.slayer.utils.quantize.MODE attribute) RUN (lava.magma.runtime.mgmt_token_enums.MGMT_COMMAND attribute) run() (lava.magma.core.model.py.model.AbstractPyProcessModel method) (lava.magma.core.process.process.AbstractProcess method) (lava.magma.runtime.message_infrastructure.multiprocessing.SystemProcess method) (lava.magma.runtime.runtime_services.channel_broker.channel_broker.ChannelBroker method) (lava.magma.runtime.runtime_services.interfaces.AbstractRuntimeService method) (lava.magma.runtime.runtime_services.runtime_service.AsyncPyRuntimeService method) (lava.magma.runtime.runtime_services.runtime_service.LoihiPyRuntimeService method) (lava.magma.runtime.runtime_services.runtime_service.PyRuntimeService method) run_async() (lava.magma.core.model.py.model.PyAsyncProcessModel method) run_lrn() (lava.magma.core.model.py.connection.PyLearningConnection method) (lava.magma.core.model.py.model.PyLoihiProcessModel method) run_post_mgmt() (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD method) (lava.magma.core.model.py.model.PyLoihiProcessModel method) (lava.proc.io.dataloader.AbstractPySpikeDataloaderModel method) (lava.proc.io.dataloader.AbstractPyStateDataloaderModel method) (lava.proc.io.reset.AbstractPyReset method) (lava.proc.io.sink.AbstractPyRead method) (lava.proc.monitor.models.PyMonitorModel method) run_pre_mgmt() (lava.magma.core.model.py.model.PyLoihiProcessModel method) run_spk() (lava.lib.dnf.inputs.gauss_pattern.models.GaussPatternProcessModel method) (lava.lib.dnf.inputs.rate_code_spike_gen.models.RateCodeSpikeGenProcessModel method) (lava.lib.optimization.problems.bayesian.models.PyDualInputFunctionModel method) (lava.lib.optimization.problems.bayesian.models.PySingleInputFunctionModel method) (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel method) (lava.lib.optimization.solvers.generic.cost_integrator.models.CostIntegratorModel method) (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel method) (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD method) (lava.lib.optimization.solvers.generic.scif.models.PyModelAbstractScifFixed method) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed method) (lava.magma.core.model.py.model.PyLoihiProcessModel method) (lava.proc.conv.models.AbstractPyConvModel method) (lava.proc.dense.models.AbstractPyDenseModelBitAcc method) (lava.proc.dense.models.AbstractPyDenseModelFloat method) (lava.proc.dense.models.PyDelayDenseModelBitAcc method) (lava.proc.dense.models.PyDelayDenseModelFloat method) (lava.proc.dense.models.PyLearningDenseModelBitApproximate method) (lava.proc.dense.models.PyLearningDenseModelFloat method) (lava.proc.io.dataloader.AbstractPySpikeDataloaderModel method) (lava.proc.io.dataloader.AbstractPyStateDataloaderModel method) (lava.proc.io.encoder.PyDeltaEncoderModelDense method) (lava.proc.io.encoder.PyDeltaEncoderModelSparse method) (lava.proc.io.sink.AbstractPyReceiveModel method) (lava.proc.io.source.AbstractPyRingBuffer method) (lava.proc.lif.models.AbstractPyLifModelFixed method) (lava.proc.lif.models.AbstractPyLifModelFloat method) (lava.proc.lif.models.PyLearningLIFModelFixed method) (lava.proc.lif.models.PyLearningLifModelFloat method) (lava.proc.lif.models.PyLifRefractoryModelFloat method) (lava.proc.lif.models.PyLifResetModelBitAcc method) (lava.proc.lif.models.PyLifResetModelFloat method) (lava.proc.monitor.models.PyMonitorModel method) (lava.proc.receiver.models.ReceiverModel method) (lava.proc.sdn.models.AbstractSigmaModel method) (lava.proc.sdn.models.PyDeltaModelFixed method) (lava.proc.sdn.models.PyDeltaModelFloat method) (lava.proc.sdn.models.PySigmaDeltaModelFixed method) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected method) (lava.proc.sdn.models.PySigmaDeltaModelFloat method) (lava.proc.spiker.models.SpikerModel method) RunConfig (class in lava.magma.core.run_configs) RunContinuous (class in lava.magma.core.run_conditions) running_mean (lava.lib.dl.slayer.neuron.norm.MeanOnlyBatchNorm attribute) (lava.lib.dl.slayer.neuron.norm.WgtScaleBatchNorm attribute) running_var (lava.lib.dl.slayer.neuron.norm.WgtScaleBatchNorm attribute) RunSteps (class in lava.magma.core.run_conditions) Runtime (class in lava.magma.runtime.runtime) runtime (lava.magma.core.process.process.AbstractProcess property) runtime_service (lava.magma.core.sync.protocol.AbstractSyncProtocol property) (lava.magma.core.sync.protocols.async_protocol.AsyncProtocol property) (lava.magma.core.sync.protocols.loihi_protocol.LoihiProtocol property) runtime_service_builders (lava.magma.compiler.executable.Executable attribute) runtime_service_id (lava.magma.compiler.builders.runtimeservice_builder.RuntimeServiceBuilder property) runtime_srv_id (lava.magma.compiler.var_model.AbstractVarModel attribute) RuntimeChannelBuilderMp (class in lava.magma.compiler.builders.channel_builder) RuntimeServiceBuilder (class in lava.magma.compiler.builders.runtimeservice_builder)

S

s_exp (lava.magma.core.learning.product_series.Product property) s_in (lava.proc.conv.models.AbstractPyConvModel attribute) (lava.proc.conv.models.PyConvModelFixed attribute) (lava.proc.conv.models.PyConvModelFloat attribute) (lava.proc.dense.models.AbstractPyDenseModelBitAcc attribute) (lava.proc.dense.models.AbstractPyDenseModelFloat attribute) (lava.proc.dense.models.PyDelayDenseModelBitAcc attribute) (lava.proc.dense.models.PyDelayDenseModelFloat attribute) s_in_bap (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) (lava.magma.core.process.connection.LearningConnectionProcess attribute) s_in_y1 (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) s_in_y2 (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) s_in_y3 (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) s_mantissa (lava.magma.core.learning.product_series.Product property) s_out (lava.lib.dnf.inputs.rate_code_spike_gen.models.RateCodeSpikeGenProcessModel attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.DiscreteVariablesProcess attribute) (lava.proc.io.dataloader.AbstractPySpikeDataloaderModel attribute) (lava.proc.io.dataloader.PySpikeModelFixed attribute) (lava.proc.io.dataloader.PySpikeModelFloat attribute) (lava.proc.io.encoder.AbstractPyDeltaEncoderModel attribute) (lava.proc.io.encoder.PyDeltaEncoderModelDense attribute) (lava.proc.io.encoder.PyDeltaEncoderModelSparse attribute) (lava.proc.io.source.AbstractPyRingBuffer attribute) (lava.proc.io.source.PySendModelFixed attribute) (lava.proc.io.source.PySendModelFloat attribute) (lava.proc.lif.models.AbstractPyLifModelFixed attribute) (lava.proc.lif.models.AbstractPyLifModelFloat attribute) (lava.proc.lif.models.PyLearningLIFModelFixed attribute) (lava.proc.lif.models.PyLearningLifModelFloat attribute) (lava.proc.lif.models.PyLifModelBitAcc attribute) (lava.proc.lif.models.PyLifModelFloat attribute) (lava.proc.lif.models.PyLifRefractoryModelFloat attribute) (lava.proc.lif.models.PyLifResetModelBitAcc attribute) (lava.proc.lif.models.PyLifResetModelFloat attribute) (lava.proc.lif.models.PyTernLifModelFixed attribute) (lava.proc.lif.models.PyTernLifModelFloat attribute) (lava.proc.sdn.models.AbstractDeltaModel attribute) (lava.proc.sdn.models.AbstractSigmaDeltaModel attribute) (lava.proc.sdn.models.PyDeltaModelFixed attribute) (lava.proc.sdn.models.PyDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixed attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected attribute) (lava.proc.sdn.models.PySigmaDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaModelFixed attribute) (lava.proc.sdn.models.PySigmaModelFloat attribute) (lava.proc.spiker.models.SpikerModel attribute) s_out_bap (lava.magma.core.model.py.neuron.LearningNeuronModel attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFixed attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFloat attribute) s_out_y1 (lava.magma.core.model.py.neuron.LearningNeuronModel attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFixed attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFloat attribute) s_out_y2 (lava.magma.core.model.py.neuron.LearningNeuronModel attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFixed attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFloat attribute) s_out_y3 (lava.magma.core.model.py.neuron.LearningNeuronModel attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFixed attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFloat attribute) s_sig_out (lava.lib.optimization.solvers.generic.scif.models.PyModelAbstractScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) s_wta_out (lava.lib.optimization.solvers.generic.scif.models.PyModelAbstractScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) sampling_time (lava.lib.dl.slayer.axon.Delay attribute) (lava.lib.dl.slayer.axon.delay.Delay attribute) (lava.lib.dl.slayer.utils.filter.FIR attribute) (lava.lib.dl.slayer.utils.filter.FIRBank attribute) SatConvergenceChecker (class in lava.lib.optimization.solvers.generic.hierarchical_processes) save() (lava.lib.dl.slayer.utils.LearningStats method) (lava.lib.dl.slayer.utils.stats.LearningStats method) (lava.magma.core.process.process.AbstractProcess method) SCALAR_DENSE (lava.magma.core.model.py.ports.PyInPort attribute), [1] (lava.magma.core.model.py.ports.PyOutPort attribute), [1] (lava.magma.core.model.py.ports.PyRefPort attribute), [1] (lava.magma.core.model.py.ports.PyVarPort attribute), [1] SCALAR_SPARSE (lava.magma.core.model.py.ports.PyInPort attribute), [1] (lava.magma.core.model.py.ports.PyOutPort attribute), [1] (lava.magma.core.model.py.ports.PyRefPort attribute), [1] (lava.magma.core.model.py.ports.PyVarPort attribute), [1] scale (lava.lib.dl.slayer.axon.Delta attribute) (lava.lib.dl.slayer.axon.delta.Delta attribute) (lava.lib.dl.slayer.neuron.adrf.Neuron property) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron property) (lava.lib.dl.slayer.neuron.alif.Neuron property) (lava.lib.dl.slayer.neuron.cuba.Neuron property) (lava.lib.dl.slayer.neuron.rf.Neuron property) (lava.lib.dl.slayer.neuron.rf_iz.Neuron property) (lava.lib.dl.slayer.neuron.sigma_delta.Neuron property) scale_bias() (lava.proc.lif.models.AbstractPyLifModelFixed method) scale_grad (lava.lib.dl.slayer.axon.Delta attribute) (lava.lib.dl.slayer.axon.delta.Delta attribute) scale_threshold() (lava.proc.lif.models.AbstractPyLifModelFixed method) (lava.proc.lif.models.PyLearningLIFModelFixed method) (lava.proc.lif.models.PyLifModelBitAcc method) (lava.proc.lif.models.PyLifResetModelBitAcc method) (lava.proc.lif.models.PyTernLifModelFixed method) Scheduler (class in lava.lib.dl.bootstrap.routine) search_space (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) (lava.lib.optimization.utils.solver_tuner.SolverTuner property) seed (lava.lib.dnf.inputs.rate_code_spike_gen.models.RateCodeSpikeGenProcessModel attribute) (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) (lava.lib.optimization.utils.solver_tuner.SolverTuner property) select() (lava.magma.compiler.channels.pypychannel.CspSelector method) (lava.magma.core.run_configs.AbstractLoihiRunCfg method) (lava.magma.core.run_configs.RunConfig method) SelectiveKernel (class in lava.lib.dnf.kernels.kernels) SEND (lava.magma.compiler.builders.channel_builder.WatchdogEnabledMixin attribute) send() (lava.magma.compiler.channels.interfaces.AbstractCspSendPort method) (lava.magma.compiler.channels.pypychannel.CspSendPort method) (lava.magma.core.model.py.ports.PyOutPort method) (lava.magma.core.model.py.ports.PyOutPortScalarDense method) (lava.magma.core.model.py.ports.PyOutPortScalarSparse method) (lava.magma.core.model.py.ports.PyOutPortVectorDense method) (lava.magma.core.model.py.ports.PyOutPortVectorSparse method) send_data_to_runtime() (lava.magma.core.callback_fx.CallbackFx method) send_data_to_runtime_service() (lava.magma.core.callback_fx.CallbackFx method) send_pause_request (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD attribute) SEQ_DENSE (lava.magma.compiler.utils.LoihiConnectedPortEncodingType attribute) SEQ_SPARSE (lava.magma.compiler.utils.LoihiConnectedPortEncodingType attribute) SequentialNetwork (class in lava.lib.dl.slayer.auto) service() (lava.magma.core.model.py.ports.PyVarPort method) (lava.magma.core.model.py.ports.PyVarPortScalarDense method) (lava.magma.core.model.py.ports.PyVarPortScalarSparse method) (lava.magma.core.model.py.ports.PyVarPortVectorDense method) (lava.magma.core.model.py.ports.PyVarPortVectorSparse method) ServiceChannelBuilderMp (class in lava.magma.compiler.builders.channel_builder) SET (lava.magma.core.model.py.ports.VarPortCmd attribute) set() (lava.magma.core.process.variable.Var method) set_bias() (lava.lib.dl.slayer.neuron.sigma_delta.Neuron method) SET_COMPLETE (lava.magma.runtime.mgmt_token_enums.MGMT_RESPONSE attribute) set_csp_ports() (lava.magma.compiler.builders.py_builder.PyProcessBuilder method) (lava.magma.compiler.builders.runtimeservice_builder.RuntimeServiceBuilder method) set_csp_proc_ports() (lava.magma.compiler.builders.runtimeservice_builder.RuntimeServiceBuilder method) SET_DATA (lava.magma.runtime.mgmt_token_enums.MGMT_COMMAND attribute) set_environ_settings() (lava.utils.system.Loihi2 static method) set_physical() (lava.magma.compiler.mappable_interface.Mappable method) set_port_initializer() (lava.magma.compiler.channel_map.ChannelMap method) set_protocol() (lava.magma.core.sync.domain.SyncDomain method) set_py_ports() (lava.magma.compiler.builders.py_builder.PyProcessBuilder method) set_ref_ports() (lava.magma.compiler.builders.py_builder.PyProcessBuilder method) set_relations_var_subsets() (lava.lib.optimization.problems.constraints.DiscreteConstraints method) set_rs_csp_ports() (lava.magma.compiler.builders.py_builder.PyProcessBuilder method) set_var() (lava.magma.runtime.runtime.Runtime method) set_var_models() (lava.magma.compiler.node.NodeConfig method) set_var_ports() (lava.magma.compiler.builders.py_builder.PyProcessBuilder method) set_variables() (lava.magma.compiler.builders.interfaces.AbstractProcessBuilder method) set_virtual() (lava.magma.compiler.utils.LoihiPortInitializer method) (lava.magma.compiler.var_model.ConvInVarModel method) (lava.magma.compiler.var_model.LoihiVarModel method) SgnExpression (class in lava.magma.core.learning.symbolic_equation) shape (lava.lib.dl.slayer.axon.Delay property) (lava.lib.dl.slayer.axon.delay.Delay property) (lava.lib.dl.slayer.axon.Delta attribute) (lava.lib.dl.slayer.axon.delta.Delta attribute) (lava.lib.dl.slayer.block.base.AbstractAffine property) (lava.lib.dl.slayer.block.base.AbstractAverage property) (lava.lib.dl.slayer.block.base.AbstractConv property) (lava.lib.dl.slayer.block.base.AbstractConvT property) (lava.lib.dl.slayer.block.base.AbstractDense property) (lava.lib.dl.slayer.block.base.AbstractInput property) (lava.lib.dl.slayer.block.base.AbstractKWTA property) (lava.lib.dl.slayer.block.base.AbstractPool property) (lava.lib.dl.slayer.block.base.AbstractRecurrent property) (lava.lib.dl.slayer.block.base.AbstractTimeDecimation property) (lava.lib.dl.slayer.block.base.AbstractUnpool property) (lava.lib.dl.slayer.block.sigma_delta.Output property) (lava.lib.dl.slayer.dendrite.Sigma attribute) (lava.lib.dl.slayer.dendrite.sigma.Sigma attribute) (lava.lib.dl.slayer.synapse.complex.ComplexLayer property) (lava.lib.dl.slayer.synapse.layer.GenericLayer property) (lava.lib.dnf.inputs.gauss_pattern.process.GaussPattern property) (lava.lib.optimization.solvers.generic.scif.process.AbstractScif property) (lava.magma.compiler.channels.interfaces.AbstractCspPort property) (lava.magma.compiler.channels.pypychannel.CspRecvPort property) (lava.magma.compiler.channels.pypychannel.CspSendPort property) (lava.magma.compiler.channels.pypychannel.Proto attribute) (lava.magma.compiler.utils.PortInitializer attribute) (lava.magma.compiler.utils.VarInitializer attribute) (lava.magma.compiler.utils.VarPortInitializer attribute) (lava.magma.core.model.interfaces.AbstractPortImplementation property) (lava.proc.io.encoder.DeltaEncoder property) (lava.proc.sdn.process.Delta property) (lava.proc.sdn.process.Sigma property) (lava.proc.sdn.process.SigmaDelta property) shared_param (lava.lib.dl.slayer.axon.Delta attribute) (lava.lib.dl.slayer.axon.delta.Delta attribute) shift() (in module lava.lib.dl.slayer.utils.time) show() (lava.lib.dl.slayer.io.Event method) shuffle (lava.lib.optimization.utils.solver_tuner.SolverTuner property) Sigma (class in lava.lib.dl.slayer.dendrite) (class in lava.lib.dl.slayer.dendrite.sigma) (class in lava.proc.sdn.process) sigma (lava.proc.sdn.models.AbstractSigmaDeltaModel attribute) (lava.proc.sdn.models.AbstractSigmaModel attribute) (lava.proc.sdn.models.PyDeltaModelFixed attribute) (lava.proc.sdn.models.PyDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixed attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected attribute) (lava.proc.sdn.models.PySigmaDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaModelFixed attribute) (lava.proc.sdn.models.PySigmaModelFloat attribute)

sigma_dynamics() (lava.proc.sdn.models.AbstractSigmaModel method) SigmaDelta (class in lava.proc.sdn.process) signed_clamp() (in module lava.proc.conv.utils) SignMode (class in lava.utils.weightutils) SimulatedAnnealingAbstract (class in lava.lib.optimization.solvers.generic.hierarchical_processes) SimulatedAnnealingAbstractModel (class in lava.lib.optimization.solvers.generic.sub_process_models) SimulatedAnnealingLocalAbstract (class in lava.lib.optimization.solvers.generic.hierarchical_processes) SimulatedAnnealingLocalAbstractModel (class in lava.lib.optimization.solvers.generic.sub_process_models) SimulatedAnnealingLocalNcModel (class in lava.lib.optimization.solvers.generic.solver) SimulatedAnnealingNcModel (class in lava.lib.optimization.solvers.generic.solver) SingleInputFunction (class in lava.lib.optimization.problems.bayesian.processes) size (lava.magma.compiler.channels.interfaces.AbstractCspPort property) (lava.magma.compiler.channels.pypychannel.CspRecvPort property) (lava.magma.compiler.channels.pypychannel.CspSendPort property) (lava.magma.compiler.utils.PortInitializer attribute) (lava.magma.compiler.utils.VarPortInitializer attribute) (lava.magma.core.process.interfaces.AbstractProcessMember property) smm (lava.magma.runtime.message_infrastructure.multiprocessing.MultiProcessing property) soft_clear() (lava.lib.dl.bootstrap.ann_sampler.AnnSampler method) solution (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel attribute) (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD attribute) solution_out (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD attribute) solution_reader (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD attribute) solution_step (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel attribute) SolutionReadout (class in lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.process) SolutionReadoutPyModel (class in lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models) solve() (in module lava.lib.optimization.solvers.generic.solver) (lava.lib.optimization.solvers.bayesian.solver.BayesianSolver method) (lava.lib.optimization.solvers.generic.solver.OptimizationSolver method) solver_config (lava.lib.optimization.solvers.generic.solver.SolverReport attribute) solver_model (lava.lib.optimization.solvers.generic.builder.SolverProcessBuilder property) solver_process (lava.lib.optimization.solvers.generic.builder.SolverProcessBuilder property) SolverConfig (class in lava.lib.optimization.solvers.generic.solver) SolverProcessBuilder (class in lava.lib.optimization.solvers.generic.builder) SolverReport (class in lava.lib.optimization.solvers.generic.solver) SolverTuner (class in lava.lib.optimization.utils.solver_tuner) SPARSE (lava.proc.io.encoder.Compression attribute), [1] SparsityEnforcer (class in lava.lib.dl.slayer.loss) Spike (class in lava.lib.dl.slayer.spike) (class in lava.lib.dl.slayer.spike.complex) (class in lava.lib.dl.slayer.spike.spike) spike() (lava.lib.dl.slayer.neuron.adrf.Neuron method) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron method) (lava.lib.dl.slayer.neuron.alif.Neuron method) (lava.lib.dl.slayer.neuron.cuba.Neuron method) (lava.lib.dl.slayer.neuron.rf.Neuron method) (lava.lib.dl.slayer.neuron.rf_iz.Neuron method) spike_encoder (lava.magma.compiler.var_model.NcSpikeIOVarModel attribute) spike_exp (lava.proc.io.encoder.AbstractPyDeltaEncoderModel attribute) (lava.proc.sdn.models.AbstractDeltaModel attribute) (lava.proc.sdn.models.AbstractSigmaDeltaModel attribute) (lava.proc.sdn.models.PyDeltaModelFixed attribute) (lava.proc.sdn.models.PyDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixed attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected attribute) (lava.proc.sdn.models.PySigmaDeltaModelFloat attribute) spike_io_mode (lava.magma.compiler.var_model.NcSpikeIOVarModel attribute) spike_io_port (lava.magma.compiler.var_model.NcSpikeIOVarModel attribute) spike_type (lava.magma.compiler.utils.LoihiIOPortInitializer attribute) SpikeDataloader (class in lava.proc.io.dataloader) SpikeEncoder (class in lava.magma.compiler.var_model) SpikeMax (class in lava.lib.dl.slayer.loss) SpikeMoid (class in lava.lib.dl.slayer.loss) Spiker (class in lava.proc.spiker.process) Spiker32bit (class in lava.proc.spiker.process) SpikeRate (class in lava.lib.dl.slayer.loss) SpikerModel (class in lava.proc.spiker.models) spikes (lava.lib.dnf.inputs.rate_code_spike_gen.models.RateCodeSpikeGenProcessModel attribute) SpikeTime (class in lava.lib.dl.slayer.loss) SpikeType (class in lava.magma.core.model.spike_type) spiking_activation() (lava.proc.lif.models.AbstractPyLifModelFixed method) (lava.proc.lif.models.AbstractPyLifModelFloat method) (lava.proc.lif.models.PyLearningLIFModelFixed method) (lava.proc.lif.models.PyLearningLifModelFloat method) (lava.proc.lif.models.PyLifModelBitAcc method) (lava.proc.lif.models.PyLifModelFloat method) (lava.proc.lif.models.PyLifRefractoryModelFloat method) (lava.proc.lif.models.PyLifResetModelBitAcc method) (lava.proc.lif.models.PyLifResetModelFloat method) (lava.proc.lif.models.PyTernLifModelFixed method) (lava.proc.lif.models.PyTernLifModelFloat method) SPK (lava.magma.core.model.py.model.PyLoihiProcessModel.Phase attribute) (lava.magma.core.sync.protocols.loihi_protocol.Phase attribute) (lava.magma.runtime.runtime_services.enums.LoihiPhase attribute) (lava.magma.runtime.runtime_services.runtime_service.LoihiPyRuntimeService.Phase attribute) spk_hist (lava.lib.optimization.solvers.generic.scif.models.PyModelAbstractScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) split_proc_builders_by_type() (in module lava.magma.compiler.compiler_utils) src (lava.magma.compiler.channel_map.PortPair attribute) src_port (lava.magma.compiler.channels.interfaces.Channel property) (lava.magma.compiler.channels.pypychannel.PyPyChannel property) src_port_initializer (lava.magma.compiler.builders.channel_builder.ChannelBuilderMp attribute) (lava.magma.compiler.builders.channel_builder.ChannelBuilderNx attribute) (lava.magma.compiler.channel_map.Payload attribute) src_process (lava.magma.compiler.builders.channel_builder.ChannelBuilderMp attribute) (lava.magma.compiler.builders.channel_builder.ChannelBuilderNx attribute) (lava.magma.compiler.builders.channel_builder.RuntimeChannelBuilderMp attribute) (lava.magma.compiler.builders.channel_builder.ServiceChannelBuilderMp attribute) start() (lava.magma.compiler.channels.interfaces.AbstractCspPort method) (lava.magma.compiler.channels.pypychannel.CspRecvPort method) (lava.magma.compiler.channels.pypychannel.CspSendPort method) (lava.magma.core.model.interfaces.AbstractPortImplementation method) (lava.magma.core.model.py.model.AbstractPyProcessModel method) (lava.magma.runtime.message_infrastructure.message_infrastructure_interface.MessageInfrastructureInterface method) (lava.magma.runtime.message_infrastructure.multiprocessing.MultiProcessing method) (lava.magma.runtime.message_infrastructure.nx.NxBoardMsgInterface method) (lava.magma.runtime.runtime.Runtime method) (lava.magma.runtime.runtime_services.interfaces.AbstractRuntimeService method) (lava.magma.runtime.runtime_services.runtime_service.PyRuntimeService method) state (lava.lib.optimization.solvers.generic.scif.models.PyModelAbstractScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) (lava.proc.io.dataloader.AbstractPyStateDataloaderModel attribute) (lava.proc.io.dataloader.PyStateModelFixed attribute) (lava.proc.io.dataloader.PyStateModelFloat attribute) (lava.proc.io.reset.AbstractPyReset attribute) (lava.proc.io.reset.PyResetFixed attribute) (lava.proc.io.reset.PyResetFloat attribute) (lava.proc.io.sink.AbstractPyRead attribute) (lava.proc.io.sink.PyReadFixed attribute) (lava.proc.io.sink.PyReadFloat attribute) state_exp (lava.proc.sdn.models.AbstractDeltaModel attribute) (lava.proc.sdn.models.AbstractSigmaDeltaModel attribute) (lava.proc.sdn.models.PyDeltaModelFixed attribute) (lava.proc.sdn.models.PyDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixed attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected attribute) (lava.proc.sdn.models.PySigmaDeltaModelFloat attribute) state_in (lava.lib.optimization.solvers.generic.dataclasses.ConstraintEnforcing property) (lava.lib.optimization.solvers.generic.dataclasses.CostMinimizer property) state_out (lava.lib.optimization.solvers.generic.dataclasses.ConstraintEnforcing property) (lava.lib.optimization.solvers.generic.dataclasses.VariablesImplementation property) state_out_cont (lava.lib.optimization.solvers.generic.dataclasses.VariablesImplementation property) state_timeseries (lava.lib.optimization.solvers.generic.solver.SolverReport attribute) state_var (lava.magma.core.learning.product_series.Factor property) StateDataloader (class in lava.proc.io.dataloader) staticproperty (class in lava.lib.dl.slayer.utils) (class in lava.lib.dl.slayer.utils.utils) (class in lava.utils.system) stats (lava.lib.dl.slayer.utils.Assistant attribute) (lava.lib.dl.slayer.utils.assistant.Assistant attribute) STATUS_DONE (lava.magma.core.model.py.model.PyAsyncProcessModel.Response attribute) (lava.magma.core.model.py.model.PyLoihiProcessModel.Response attribute) (lava.magma.runtime.runtime_services.runtime_service.AsyncPyRuntimeService.PMResponse attribute) (lava.magma.runtime.runtime_services.runtime_service.LoihiPyRuntimeService.PMResponse attribute) STATUS_ERROR (lava.magma.core.model.py.model.PyAsyncProcessModel.Response attribute) (lava.magma.core.model.py.model.PyLoihiProcessModel.Response attribute) (lava.magma.runtime.runtime_services.runtime_service.AsyncPyRuntimeService.PMResponse attribute) (lava.magma.runtime.runtime_services.runtime_service.LoihiPyRuntimeService.PMResponse attribute) STATUS_PAUSED (lava.magma.core.model.py.model.PyAsyncProcessModel.Response attribute) (lava.magma.core.model.py.model.PyLoihiProcessModel.Response attribute) (lava.magma.runtime.runtime_services.runtime_service.AsyncPyRuntimeService.PMResponse attribute) (lava.magma.runtime.runtime_services.runtime_service.LoihiPyRuntimeService.PMResponse attribute) STATUS_TERMINATED (lava.magma.core.model.py.model.PyAsyncProcessModel.Response attribute) (lava.magma.core.model.py.model.PyLoihiProcessModel.Response attribute) (lava.magma.runtime.runtime_services.runtime_service.AsyncPyRuntimeService.PMResponse attribute) (lava.magma.runtime.runtime_services.runtime_service.LoihiPyRuntimeService.PMResponse attribute) std() (lava.lib.dl.slayer.neuron.norm.WgtScaleBatchNorm method) stddev (lava.lib.dnf.inputs.gauss_pattern.process.GaussPattern property) STDPLoihi (class in lava.proc.learning_rules.stdp_learning_rule) step_delay() (in module lava.lib.dl.slayer.block.base) step_size (lava.lib.optimization.solvers.generic.scif.models.PyModelAbstractScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) stochastic_round() (in module lava.magma.core.learning.utils) StochasticIntegrateAndFire (class in lava.lib.optimization.solvers.generic.hierarchical_processes) StochasticIntegrateAndFireModelSCIF (class in lava.lib.optimization.solvers.generic.sub_process_models) stop (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel attribute) STOP (lava.magma.runtime.mgmt_token_enums.MGMT_COMMAND attribute) stop() (lava.magma.core.process.process.AbstractProcess method) (lava.magma.runtime.message_infrastructure.message_infrastructure_interface.MessageInfrastructureInterface method) (lava.magma.runtime.message_infrastructure.multiprocessing.MultiProcessing method) (lava.magma.runtime.message_infrastructure.nx.NxBoardMsgInterface method) (lava.magma.runtime.runtime.Runtime method) stride (lava.lib.dl.slayer.synapse.Conv attribute) (lava.lib.dl.slayer.synapse.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.layer.Conv attribute) (lava.lib.dl.slayer.synapse.layer.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.layer.Pool attribute) (lava.lib.dl.slayer.synapse.layer.Unpool attribute) (lava.lib.dl.slayer.synapse.Pool attribute) (lava.lib.dl.slayer.synapse.Unpool attribute) (lava.magma.compiler.var_model.LoihiAddress attribute) (lava.proc.conv.models.AbstractPyConvModel attribute) sub_expr (lava.magma.core.learning.symbolic_equation.Expression property) sub_type (lava.magma.compiler.var_model.LoihiVarModel attribute) SubCompiler (class in lava.magma.compiler.subcompilers.interfaces) subthr_dynamics() (lava.proc.lif.models.AbstractPyLifModelFixed method) (lava.proc.lif.models.AbstractPyLifModelFloat method) (lava.proc.lif.models.PyLifRefractoryModelFloat method) Subtraction (class in lava.magma.core.learning.symbolic_equation) SUM (lava.lib.dnf.operations.enums.ReduceMethod attribute) sustained_off_tau (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) sustained_on_tau (lava.lib.optimization.solvers.generic.scif.models.PyModelAbstractScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) Symbol (class in lava.magma.core.learning.symbolic_equation) symbol_list (lava.magma.core.learning.symbolic_equation.Expression property) (lava.magma.core.learning.symbolic_equation.SymbolicEquation property) SymbolicEquation (class in lava.magma.core.learning.symbolic_equation) SymbolList (class in lava.magma.core.learning.symbolic_equation) syn_entry_id (lava.magma.compiler.var_model.LoihiSynapseAddress attribute) SYNAPSE_SIGN_MODE (class in lava.lib.dl.netx.utils) sync_channel_builders (lava.magma.compiler.executable.Executable attribute) sync_domains (lava.magma.compiler.executable.Executable attribute) sync_snn_stat() (lava.lib.dl.bootstrap.routine.Scheduler method) SyncDomain (class in lava.magma.core.sync.domain) SystemProcess (class in lava.magma.runtime.message_infrastructure.multiprocessing)

T

t_epoch (lava.magma.core.learning.learning_rule.LoihiLearningRule property) tag() (in module lava.magma.core.decorator) tag_1 (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) (lava.magma.core.process.connection.LearningConnectionProcess attribute) tag_2 (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) (lava.magma.core.process.connection.LearningConnectionProcess attribute) tags (lava.lib.dl.netx.blocks.models.AbstractPyBlockModel attribute) (lava.lib.optimization.problems.bayesian.models.PyDualInputFunctionModel attribute) (lava.lib.optimization.problems.bayesian.models.PySingleInputFunctionModel attribute) (lava.lib.optimization.solvers.bayesian.models.PyBayesianOptimizerModel attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelCspScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) (lava.magma.core.model.model.AbstractProcessModel attribute) (lava.proc.conv.models.PyConvModelFixed attribute) (lava.proc.conv.models.PyConvModelFloat attribute) (lava.proc.dense.models.PyDelayDenseModelBitAcc attribute) (lava.proc.dense.models.PyDelayDenseModelFloat attribute) (lava.proc.dense.models.PyDenseModelBitAcc attribute) (lava.proc.dense.models.PyDenseModelFloat attribute) (lava.proc.dense.models.PyLearningDenseModelBitApproximate attribute) (lava.proc.dense.models.PyLearningDenseModelFloat attribute) (lava.proc.io.dataloader.PySpikeModelFixed attribute) (lava.proc.io.dataloader.PySpikeModelFloat attribute) (lava.proc.io.dataloader.PyStateModelFixed attribute) (lava.proc.io.dataloader.PyStateModelFloat attribute) (lava.proc.io.encoder.PyDeltaEncoderModelDense attribute) (lava.proc.io.encoder.PyDeltaEncoderModelSparse attribute) (lava.proc.io.reset.PyResetFixed attribute) (lava.proc.io.reset.PyResetFloat attribute) (lava.proc.io.sink.PyReadFixed attribute) (lava.proc.io.sink.PyReadFloat attribute) (lava.proc.io.sink.PyReceiveModelFixed attribute) (lava.proc.io.sink.PyReceiveModelFloat attribute) (lava.proc.io.source.PySendModelFixed attribute) (lava.proc.io.source.PySendModelFloat attribute) (lava.proc.lif.models.PyLearningLIFModelFixed attribute) (lava.proc.lif.models.PyLearningLifModelFloat attribute) (lava.proc.lif.models.PyLifModelBitAcc attribute) (lava.proc.lif.models.PyLifModelFloat attribute) (lava.proc.lif.models.PyLifRefractoryModelFloat attribute) (lava.proc.lif.models.PyLifResetModelBitAcc attribute) (lava.proc.lif.models.PyLifResetModelFloat attribute) (lava.proc.lif.models.PyTernLifModelFixed attribute) (lava.proc.lif.models.PyTernLifModelFloat attribute) (lava.proc.sdn.models.PyDeltaModelFixed attribute) (lava.proc.sdn.models.PyDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixed attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected attribute) (lava.proc.sdn.models.PySigmaDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaModelFixed attribute) (lava.proc.sdn.models.PySigmaModelFloat attribute) target (lava.magma.core.learning.product_series.Product property) (lava.magma.core.learning.product_series.ProductSeries property) (lava.magma.core.learning.symbolic_equation.SymbolicEquation property) target_cost (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel attribute) (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.process.SolutionReadout attribute) (lava.lib.optimization.solvers.generic.read_gate.models.ReadGatePyModelD attribute) (lava.lib.optimization.solvers.generic.solver.SolverConfig attribute) target_fn() (in module lava.magma.runtime.runtime)

tau_grad (lava.lib.dl.slayer.axon.Delta attribute) (lava.lib.dl.slayer.axon.delta.Delta attribute) tensor_to_event() (in module lava.lib.dl.slayer.io) TensorOrder (class in lava.proc.conv.utils) TERMINATED (lava.magma.runtime.mgmt_token_enums.MGMT_RESPONSE attribute) TernaryLIF (class in lava.proc.lif.process) test() (lava.lib.dl.slayer.utils.Assistant method) (lava.lib.dl.slayer.utils.assistant.Assistant method) test_images (lava.utils.dataloader.mnist.MnistDataset property) test_labels (lava.utils.dataloader.mnist.MnistDataset property) testing (lava.lib.dl.slayer.utils.LearningStats attribute) (lava.lib.dl.slayer.utils.stats.LearningStats attribute) theta (lava.lib.optimization.solvers.generic.scif.models.PyModelAbstractScifFixed attribute) (lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute) threshold (lava.lib.dl.slayer.neuron.base.Neuron property) (lava.lib.dl.slayer.neuron.sigma_delta.Neuron property) tiling (lava.magma.compiler.channel_map.Payload attribute) time_compare (lava.magma.compiler.var_model.NcSpikeIOVarModel attribute) time_len (lava.magma.compiler.var_model.TimeCompare attribute) time_mode (lava.magma.compiler.var_model.TimeCompare attribute) time_ptr (lava.magma.compiler.var_model.TimeCompare attribute) time_steps_per_algorithmic_step (lava.lib.optimization.solvers.generic.hierarchical_processes.NEBMAbstract attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.SimulatedAnnealingAbstract attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.SimulatedAnnealingLocalAbstract attribute) (lava.lib.optimization.solvers.generic.hierarchical_processes.StochasticIntegrateAndFire attribute) (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel attribute) TimeCompare (class in lava.magma.compiler.var_model) TimeDecimation (class in lava.lib.dl.slayer.block.adrf) (class in lava.lib.dl.slayer.block.adrf_iz) (class in lava.lib.dl.slayer.block.alif) (class in lava.lib.dl.slayer.block.cuba) (class in lava.lib.dl.slayer.block.rf) (class in lava.lib.dl.slayer.block.rf_iz) timeout (lava.lib.optimization.solvers.generic.solver.SolverConfig attribute) timestep_in (lava.lib.optimization.solvers.generic.monitoring_processes.solution_readout.models.SolutionReadoutPyModel attribute) to_int() (lava.magma.core.learning.symbolic_equation.Literal method) to_list() (in module lava.magma.core.process.ports.ports) to_ndarray() (in module lava.lib.dnf.utils.convenience) to_tensor() (lava.lib.dl.slayer.io.Event method) TraceRandom (class in lava.magma.core.learning.random) train() (lava.lib.dl.slayer.utils.Assistant method) (lava.lib.dl.slayer.utils.assistant.Assistant method) train_images (lava.utils.dataloader.mnist.MnistDataset property) train_labels (lava.utils.dataloader.mnist.MnistDataset property) training (lava.lib.dl.slayer.utils.LearningStats attribute) (lava.lib.dl.slayer.utils.stats.LearningStats attribute) transform() (lava.magma.core.model.py.ports.AbstractTransformer method) (lava.magma.core.model.py.ports.IdentityTransformer method) (lava.magma.core.model.py.ports.VirtualPortTransformer method) transform_funcs (lava.magma.compiler.utils.PortInitializer attribute) (lava.magma.compiler.utils.VarPortInitializer attribute) transpose() (lava.magma.core.process.ports.ports.AbstractPort method) TransposeIndexError TransposePort (class in lava.magma.core.process.ports.ports) TransposeShapeError truncate_weights() (in module lava.utils.weightutils) tune() (lava.lib.optimization.utils.solver_tuner.SolverTuner method) tx (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) (lava.magma.core.process.connection.LearningConnectionProcess attribute) ty (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) (lava.magma.core.process.connection.LearningConnectionProcess attribute)

U

u (lava.proc.lif.models.AbstractPyLifModelFixed attribute) (lava.proc.lif.models.AbstractPyLifModelFloat attribute) Uk (class in lava.magma.core.learning.symbolic_equation) Unalaska (class in lava.magma.core.resources) union_type (lava.magma.compiler.var_model.LoihiVarModel attribute) UNIT (lava.proc.sdn.process.ActivationMode attribute) Unpool (class in lava.lib.dl.slayer.block.adrf) (class in lava.lib.dl.slayer.block.adrf_iz) (class in lava.lib.dl.slayer.block.alif) (class in lava.lib.dl.slayer.block.cuba) (class in lava.lib.dl.slayer.block.rf) (class in lava.lib.dl.slayer.block.rf_iz) (class in lava.lib.dl.slayer.block.sigma_delta) (class in lava.lib.dl.slayer.synapse) (class in lava.lib.dl.slayer.synapse.complex) (class in lava.lib.dl.slayer.synapse.layer)

update (lava.lib.dl.slayer.neuron.norm.MeanOnlyBatchNorm attribute) (lava.lib.dl.slayer.neuron.norm.WgtScaleBatchNorm attribute) update() (lava.lib.dl.slayer.utils.LearningStat method) (lava.lib.dl.slayer.utils.LearningStats method) (lava.lib.dl.slayer.utils.stats.LearningStat method) (lava.lib.dl.slayer.utils.stats.LearningStats method) (lava.magma.compiler.subcompilers.py.pyproc_compiler.Offset method) update_act() (lava.proc.dense.models.AbstractPyDelayDenseModel method) update_snn_stat() (lava.lib.dl.bootstrap.routine.Scheduler method) USE_REGULAR_IMPULSE (lava.magma.core.learning.constants.GradedSpikeCfg attribute)

V

v (lava.proc.lif.models.AbstractPyLifModelFixed attribute) (lava.proc.lif.models.AbstractPyLifModelFloat attribute) v_th_mant (lava.lib.dl.slayer.neuron.base.Neuron property) v_th_step (lava.lib.dl.slayer.neuron.adrf.Neuron property) (lava.lib.dl.slayer.neuron.adrf_iz.Neuron property) (lava.lib.dl.slayer.neuron.alif.Neuron property) val (lava.magma.core.learning.symbolic_equation.Literal property) val_init_args() (lava.lib.optimization.solvers.bayesian.solver.BayesianSolver static method) val_solve_args() (lava.lib.optimization.solvers.bayesian.solver.BayesianSolver static method) valid() (lava.lib.dl.slayer.utils.Assistant method) (lava.lib.dl.slayer.utils.assistant.Assistant method) valid_accuracy_log (lava.lib.dl.slayer.utils.LearningStat property) (lava.lib.dl.slayer.utils.stats.LearningStat property) valid_dims (lava.magma.compiler.var_model.ConvNeuronVarModel attribute) valid_loss_log (lava.lib.dl.slayer.utils.LearningStat property) (lava.lib.dl.slayer.utils.stats.LearningStat property) validate() (lava.lib.dnf.operations.enums.BorderType class method) (lava.lib.dnf.operations.enums.ReduceMethod class method) validate_alias() (lava.magma.core.process.variable.Var method) validate_input() (lava.lib.optimization.problems.problems.QUBO method) validate_shape() (in module lava.lib.dnf.utils.validation) validate_subsets_and_relations_match() (lava.lib.optimization.problems.constraints.DiscreteConstraints method) validate_var_aliases() (lava.magma.core.process.process.AbstractProcess method) validation (lava.lib.dl.slayer.utils.LearningStats attribute) (lava.lib.dl.slayer.utils.stats.LearningStats attribute) value (lava.lib.optimization.problems.variables.Variable property) (lava.magma.compiler.utils.VarInitializer attribute) Var (class in lava.magma.core.process.variable) var (lava.magma.compiler.var_model.AbstractVarModel attribute) var_id (lava.magma.compiler.utils.VarInitializer attribute) var_model (lava.magma.compiler.utils.LoihiPortInitializer attribute) var_name (lava.magma.compiler.utils.VarPortInitializer attribute) (lava.magma.core.model.py.ports.PyVarPort attribute) var_read_0 (lava.proc.monitor.models.PyMonitorModel attribute) var_shape (lava.magma.compiler.var_model.ConvNeuronVarModel attribute) var_subsets (lava.lib.optimization.problems.constraints.DiscreteConstraints property) Variable (class in lava.lib.optimization.problems.variables) (class in lava.magma.core.learning.symbolic_equation) variable_assignment (lava.lib.optimization.solvers.generic.hierarchical_processes.DiscreteVariablesProcess attribute) variable_length (lava.magma.compiler.var_model.LoihiVarModel attribute) variable_offset (lava.magma.compiler.var_model.LoihiVarModel attribute) variable_set (lava.lib.optimization.problems.variables.ContinuousVariables property) (lava.lib.optimization.problems.variables.DiscreteVariables property) Variables (class in lava.lib.optimization.problems.variables) variables (lava.lib.optimization.problems.problems.CSP property) (lava.lib.optimization.problems.problems.IQP property) (lava.lib.optimization.problems.problems.OptimizationProblem property) (lava.lib.optimization.problems.problems.QP property) (lava.lib.optimization.problems.problems.QUBO property)

variables_assignment (lava.lib.optimization.solvers.generic.dataclasses.ConstraintEnforcing property) (lava.lib.optimization.solvers.generic.dataclasses.VariablesImplementation property) variables_assignment_cont (lava.lib.optimization.solvers.generic.dataclasses.VariablesImplementation property) VariablesImplementation (class in lava.lib.optimization.solvers.generic.dataclasses) VarInitializer (class in lava.magma.compiler.utils) VarNotSharableError VarPort (class in lava.magma.core.process.ports.ports) VarPortCmd (class in lava.magma.core.model.py.ports) VarPortInitializer (class in lava.magma.compiler.utils) VarServer (class in lava.magma.core.process.variable) VEC_DENSE (lava.magma.compiler.utils.LoihiConnectedPortEncodingType attribute) (lava.magma.core.model.py.ports.PyInPort attribute), [1] (lava.magma.core.model.py.ports.PyOutPort attribute), [1] (lava.magma.core.model.py.ports.PyRefPort attribute), [1] (lava.magma.core.model.py.ports.PyVarPort attribute), [1] VEC_SPARSE (lava.magma.compiler.utils.LoihiConnectedPortEncodingType attribute) (lava.magma.core.model.py.ports.PyInPort attribute), [1] (lava.magma.core.model.py.ports.PyOutPort attribute), [1] (lava.magma.core.model.py.ports.PyRefPort attribute), [1] (lava.magma.core.model.py.ports.PyVarPort attribute), [1] verify_model_exists() (lava.lib.optimization.solvers.generic.builder.SolverProcessBuilder method) verify_process_exists() (lava.lib.optimization.solvers.generic.builder.SolverProcessBuilder method) verify_solution() (lava.lib.optimization.problems.problems.CSP method) (lava.lib.optimization.problems.problems.QUBO method) VirtualPortTransformer (class in lava.magma.core.model.py.ports) vth (lava.proc.io.encoder.AbstractPyDeltaEncoderModel attribute) (lava.proc.lif.models.PyLearningLIFModelFixed attribute) (lava.proc.lif.models.PyLearningLifModelFloat attribute) (lava.proc.lif.models.PyLifModelBitAcc attribute) (lava.proc.lif.models.PyLifModelFloat attribute) (lava.proc.lif.models.PyLifRefractoryModelFloat attribute) (lava.proc.lif.models.PyLifResetModelBitAcc attribute) (lava.proc.lif.models.PyLifResetModelFloat attribute) (lava.proc.sdn.models.AbstractDeltaModel attribute) (lava.proc.sdn.models.AbstractSigmaDeltaModel attribute) (lava.proc.sdn.models.PyDeltaModelFixed attribute) (lava.proc.sdn.models.PyDeltaModelFloat attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixed attribute) (lava.proc.sdn.models.PySigmaDeltaModelFixedCorrected attribute) (lava.proc.sdn.models.PySigmaDeltaModelFloat attribute) vth_hi (lava.proc.lif.models.PyTernLifModelFixed attribute) (lava.proc.lif.models.PyTernLifModelFloat attribute) vth_lo (lava.proc.lif.models.PyTernLifModelFixed attribute) (lava.proc.lif.models.PyTernLifModelFloat attribute)

W

wait() (lava.magma.core.model.py.ports.PyRefPort method) (lava.magma.core.process.process.AbstractProcess method) (lava.magma.runtime.runtime.Runtime method) watch() (lava.magma.compiler.builders.channel_builder.WatchdogEnabledMixin static method) watchdog_manager_builder (lava.magma.compiler.executable.Executable attribute) WatchdogEnabledMixin (class in lava.magma.compiler.builders.channel_builder) weight (lava.lib.dl.slayer.synapse.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.Dense attribute) (lava.lib.dl.slayer.synapse.layer.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.layer.Dense attribute) (lava.lib.dl.slayer.synapse.layer.Pool attribute) (lava.lib.dl.slayer.synapse.layer.Unpool attribute) (lava.lib.dl.slayer.synapse.Pool attribute) (lava.lib.dl.slayer.synapse.Unpool attribute) (lava.proc.conv.models.AbstractPyConvModel attribute) (lava.proc.conv.models.PyConvModelFixed attribute) (lava.proc.conv.models.PyConvModelFloat attribute) weight_exp (lava.lib.dl.slayer.neuron.norm.WgtScaleBatchNorm property) (lava.proc.conv.models.AbstractPyConvModel attribute) (lava.utils.weightutils.OptimizedWeights attribute) weight_exp_bits (lava.lib.dl.slayer.neuron.norm.WgtScaleBatchNorm attribute) weight_exponent (lava.lib.dl.slayer.neuron.base.Neuron property) weight_norm_enabled (lava.lib.dl.slayer.synapse.Conv attribute) (lava.lib.dl.slayer.synapse.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.Dense attribute) (lava.lib.dl.slayer.synapse.layer.Conv attribute) (lava.lib.dl.slayer.synapse.layer.ConvTranspose attribute) (lava.lib.dl.slayer.synapse.layer.Dense attribute) (lava.lib.dl.slayer.synapse.layer.GenericLayer attribute) (lava.lib.dl.slayer.synapse.layer.Pool attribute) (lava.lib.dl.slayer.synapse.layer.Unpool attribute) (lava.lib.dl.slayer.synapse.Pool attribute) (lava.lib.dl.slayer.synapse.Unpool attribute)

Weights (class in lava.lib.dnf.operations.operations) weights (lava.lib.dnf.kernels.kernels.Kernel property) (lava.proc.dense.models.AbstractPyDelayDenseModel attribute) (lava.proc.dense.models.AbstractPyDenseModelBitAcc attribute) (lava.proc.dense.models.AbstractPyDenseModelFloat attribute) (lava.proc.dense.models.PyDelayDenseModelBitAcc attribute) (lava.proc.dense.models.PyDelayDenseModelFloat attribute) (lava.utils.weightutils.OptimizedWeights attribute) WgtScaleBatchNorm (class in lava.lib.dl.slayer.neuron.norm) write() (lava.magma.compiler.builders.interfaces.Resource method) (lava.magma.core.model.py.ports.PyRefPort method) (lava.magma.core.model.py.ports.PyRefPortScalarDense method) (lava.magma.core.model.py.ports.PyRefPortScalarSparse method) (lava.magma.core.model.py.ports.PyRefPortVectorDense method) (lava.magma.core.model.py.ports.PyRefPortVectorSparse method) write_to_cache() (lava.magma.compiler.channel_map.ChannelMap method)

X

x (lava.magma.compiler.var_model.ChipEncoder attribute) (lava.magma.compiler.var_model.CoreEncoder attribute) X0 (class in lava.magma.core.learning.symbolic_equation) x0 (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) (lava.magma.core.process.connection.LearningConnectionProcess attribute) x1 (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) (lava.magma.core.process.connection.LearningConnectionProcess attribute) x1_impulse (lava.magma.core.learning.learning_rule.LoihiLearningRule property) (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) x1_tau (lava.magma.core.learning.learning_rule.LoihiLearningRule property) (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute)

x2 (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) (lava.magma.core.process.connection.LearningConnectionProcess attribute) x2_impulse (lava.magma.core.learning.learning_rule.LoihiLearningRule property) (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) x2_tau (lava.magma.core.learning.learning_rule.LoihiLearningRule property) (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) x_dim (lava.magma.compiler.var_model.ConvInVarModel attribute) x_in (lava.lib.optimization.problems.bayesian.models.PyDualInputFunctionModel attribute) (lava.lib.optimization.problems.bayesian.models.PySingleInputFunctionModel attribute) x_max (lava.magma.compiler.var_model.Region attribute) x_min (lava.magma.compiler.var_model.Region attribute) x_split (lava.magma.compiler.var_model.ConvInVarModel attribute)

Y

y (lava.magma.compiler.var_model.ChipEncoder attribute) (lava.magma.compiler.var_model.CoreEncoder attribute) Y0 (class in lava.magma.core.learning.symbolic_equation) y0 (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) (lava.magma.core.process.connection.LearningConnectionProcess attribute) y1 (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) (lava.magma.core.model.py.neuron.LearningNeuronModel attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFixed attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFloat attribute) (lava.magma.core.process.connection.LearningConnectionProcess attribute) y1_impulse (lava.magma.core.learning.learning_rule.LoihiLearningRule property) (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) y1_tau (lava.magma.core.learning.learning_rule.LoihiLearningRule property) (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) y2 (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) (lava.magma.core.model.py.neuron.LearningNeuronModel attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFixed attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFloat attribute) (lava.magma.core.process.connection.LearningConnectionProcess attribute)

y2_impulse (lava.magma.core.learning.learning_rule.LoihiLearningRule property) (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) y2_tau (lava.magma.core.learning.learning_rule.LoihiLearningRule property) (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) y3 (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) (lava.magma.core.model.py.neuron.LearningNeuronModel attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFixed attribute) (lava.magma.core.model.py.neuron.LearningNeuronModelFloat attribute) (lava.magma.core.process.connection.LearningConnectionProcess attribute) y3_impulse (lava.magma.core.learning.learning_rule.LoihiLearningRule property) (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) y3_tau (lava.magma.core.learning.learning_rule.LoihiLearningRule property) (lava.magma.core.model.py.connection.AbstractLearningConnection attribute) (lava.magma.core.model.py.connection.LearningConnectionModelBitApproximate attribute) (lava.magma.core.model.py.connection.LearningConnectionModelFloat attribute) y_dim (lava.magma.compiler.var_model.ConvInVarModel attribute) y_max (lava.magma.compiler.var_model.Region attribute) y_min (lava.magma.compiler.var_model.Region attribute) y_out (lava.lib.optimization.problems.bayesian.models.PyDualInputFunctionModel attribute) (lava.lib.optimization.problems.bayesian.models.PySingleInputFunctionModel attribute)

Z

z (lava.magma.compiler.var_model.ChipEncoder attribute)