Lava
Lava Architecture
Key attributes
Why do we need Lava?
Lava’s foundational concepts
1. Processes
2. Behavioral implementations via ProcessModels
3. Composability and connectivity
4. Cross-platform execution
Lava software stack
Getting Started with Lava
Installing Lava
1. System Requirements
2. Getting Started
2.1 Cloning Lava and Running from Source
2.2 [Alternative] Installing Lava from Binaries
3. Running Lava on Intel Loihi
4. Lava Developer Guide
5. Tutorials
How to learn more?
Walk through Lava
1. Usage of the Process Library
Processes
Ports and connections
Variables
Record internal Vars over time
Execution
Retrieve recorded data
Summary
Learn more about
2. Create a custom Process
Create a new ProcessModel
Use the custom SpikeGenerator
Execute and plot
Summary
Learn more about
How to learn more?
Processes
Recommended tutorials before starting:
What is a
Process
?
How to build a
Process
?
Overall architecture
AbstractProcess
: Defining
Vars
,
Ports
, and the API
ProcessModel
: Defining the behavior of a
Process
Instantiating the
Process
Interacting with
Processes
Accessing
Vars
Using custom APIs
Executing a
Process
Update
Vars
How to learn more?
ProcessModels
Recommended tutorials before starting:
Create a LIF
Process
Create a Python
LeafProcessModel
that implements the LIF
Process
Setup
Defining a
PyLifModel
for LIF
Compile and run
PyLifModel
Selecting 1
ProcessModel
: More on
LeafProcessModel
attributes and relations
How to learn more?
Execution
Recommended tutorials before starting:
Configuring and starting execution
Run conditions
Run configurations
Running multiple
Processes
Pausing, resuming, and stopping execution
Manual compilation and execution
How to learn more?
Connect processes
Recommended tutorials before starting:
Building a network of
Processes
Create a connection
Possible connections
There are some things to consider though:
Connect multiple
InPorts
from a single
OutPort
Connecting multiple
InPorts
to a single
OutPort
How to learn more?
Hierarchical
Processes
and
SubProcessModels
Recommended tutorials before starting:
Create LIF and Dense
Processes
and
ProcessModels
Create a Dense connection
Process
Create a Python Dense connection
ProcessModel
implementing the Loihi Sync Protocol and requiring a CPU compute resource
Create a LIF neuron
Process
Create a Python LIF neuron
ProcessModel
implementing the Loihi Sync Protocol and requiring a CPU compute resource
Create a DenseLayer Hierarchical
Process
that encompasses Dense and LIF
Process
behavior
Create a
SubProcessModel
that implements the DenseLayer
Process
using Dense and LIF child
Processes
Run the DenseLayer
Process
Run Connected DenseLayer
Processes
How to learn more?
Remote Memory Access
Recommended tutorials before starting:
Create a minimal
Process
and
ProcessModel
with a
RefPort
Create a Python Process Model implementing the Loihi Sync Protocol and requiring a CPU compute resource
Run the
Processes
Implicit and explicit VarPorts
Options to connect RefPorts and VarPorts
How to learn more?
MNIST Digit Classification with Lava
This tutorial assumes that you:
This tutorial gives a bird’s-eye view of
Our MNIST Classifier
General Imports
Lava Processes
ProcessModels for Python execution
Connecting Processes
Execution and results
How to learn more?
Follow the links below for deep-dive tutorials on the concepts in this tutorial:
Excitatory-Inhibitory Neural Network with Lava
This tutorial assumes that you:
This tutorial gives a high level view of
E/I Network
General imports
E/I Network Lava Process
ProcessModels for Python execution
Rate neurons
Defining the parameters for the network
Execution and Results
Visualizing the activity
Further analysis
Controlling the network
LIF Neurons
Execution and Results
Visualizing the activity
Controlling the network
DIfferent recurrent activation regimes
Running a ProcessModel bit-accurate with Loihi
Execution of bit accurate model
Follow the links below for deep-dive tutorials on the concepts in this tutorial:
Spike-timing Dependent Plasticity (STDP)
This tutorial assumes that you:
STDP from Lavas Process Library
The plastic connection Process
Plot spike trains
Plot traces
Plot STDP learning window and weight changes
Custom Learning Rules
This tutorial assumes that you:
2. Loihi’s learning engine
Epoch-based updates
Synaptic variables
Learning rules
Dependencies
Scaling factors
Factors
Traces
Example: Basic pair-based STDP
Instantiating LearningRule
The plastic connection Process
Plot spike trains
Plot traces
Plot STDP learning window and weight changes
Follow the links below for deep-dive tutorials on the concepts in this tutorial:
Three Factor Learning with Lava
This tutorial assumes that you:
Defining three-factor learning rule interfaces in Lava
Reward-modulated Spike-Timing Dependent Plasticity (R-STDP) learning rule
Defining a simple learning network with localized reward signals
Initialize network parameters and weights
Generate binary input and graded reward spikes
Initialize Network Processes
Connect Network Processes
Create monitors to observe the weight and trace dynamics during learning
Run the network
Visualize the learning results
Plot eligibility trace dynamics
Plot reward trace dynamics
Advanced Topic: Implementing custom learning rule interfaces
How to learn more?
Follow the links below for deep-dive tutorials on the concepts in this tutorial:
Algorithms and Application Libraries
Deep Learning
Introduction
Lava-DL Workflow
Getting Started
SLAYER 2.0
Example Code
Bootstrap
Example Code
Network Exchange (NetX) Library
Example Code
Detailed Description
Lava-DL SLAYER
Lava-DL Bootstrap
Lava-DL NetX
Dynamic Neural Fields
Introduction
What is lava-dnf?
Key features
Example
Neuromorphic Constrained Optimization Library
About the Project
Taxonomy of Optimization Problems
OptimizationSolver and OptimizationProblem Classes
Tutorials
Quadratic Programming
Quadratic Uncosntrained Binary Optimization
Examples
Solving QP problems
Solving QUBO
Getting Started
Requirements
Installation
[Alternative] Installing Lava via Conda
Developer Guide
Lava’s Origins
Contact Information
Development Roadmap
Initial Release
How to contribute to Lava
Open an Issue
Pull Request Checklist
Open a Pull Request
Coding Conventions
Code Requirements
Guidelines
Docstring Format
Contributors
Contributor
Committer
List of lava-nc/lava Project Committers
List of lava-nc/lava-dnf Project Committers
List of lava-nc/lava-optimization Project Committers
List of lava-nc/lava-dl Project Committers
Committer Promotion
Repository Structure
lava-nc/lava
lava-nc/lava-dnf
lava-nc/lava-dl
lava-nc/lava-optimization
lava-nc/lava-docs
Code of Conduct
Licenses
Lava API Documentation
Lava
Magma
lava.magma.compiler
lava.magma.core
lava.magma.runtime
Lava process library
lava.proc.conv
lava.proc.dense
lava.proc.io
lava.proc.learning_rules
lava.proc.lif
lava.proc.monitor
lava.proc.receiver
lava.proc.sdn
lava.proc.spiker
Lava Utils
lava.utils.dataloader
lava.utils.float2fixed
lava.utils.profiler
lava.utils.system
lava.utils.validator
lava.utils.visualizer
lava.utils.weightutils
Lava - Deep Learning
SLAYER
Neuron
Synapse
Spike
Axon
Dendrite
Blocks
Loss
Classifier
Input/Output
Auto
Utilities
Indices and tables
Bootstrap (ANN-SNN training)
Blocks
ANN Statistics Sampler
Routine
Indices and tables
Lava-DL NetX
Blocks
HDF5
Utils
Indices and tables
Lava - Dynamic Neural Fields
lava.lib.dnf.connect
lava.lib.dnf.connect.connect
lava.lib.dnf.connect.exceptions
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.inputs
lava.lib.dnf.inputs.gauss_pattern
lava.lib.dnf.inputs.rate_code_spike_gen
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 - Optimization
lava.lib.optimization.problems
lava.lib.optimization.problems.bayesian
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.generic
lava.lib.optimization.solvers.qp
lava.lib.optimization.utils
lava.lib.optimization.utils.generators
lava.lib.optimization.utils.solver_tuner
Lava
Index
Index
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B
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C
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D
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E
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F
|
G
|
H
|
I
|
J
|
K
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
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U
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V
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W
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X
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Y
|
Z
_
__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)
__setattr__() (lava.magma.core.model.py.model.AbstractPyProcessModel 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)
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)
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)
AbstractDataloader (class in lava.proc.io.dataloader)
AbstractDeltaModel (class in lava.proc.sdn.models)
AbstractDstPort (class in lava.magma.core.process.ports.ports)
AbstractIOPort (class in lava.magma.core.process.ports.ports)
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)
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)
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)
AbstractReduceOp (class in lava.magma.core.process.ports.reduce_ops)
AbstractResource (class in lava.magma.core.resources)
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)
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)
AbstractTransformer (class in lava.magma.core.model.py.ports)
AbstractVarModel (class in lava.magma.compiler.var_model)
AbstractVirtualPort (class in lava.magma.core.process.ports.ports)
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)
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)
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)
append() (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)
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)
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)
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_cost (lava.lib.optimization.solvers.generic.solver.SolverReport 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.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)
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_precision() (lava.proc.conv.models.AbstractPyConvModel method)
(lava.proc.conv.models.PyConvModelFixed 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)
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
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.proc.conv.process)
conv() (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)
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)
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)
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_implicit_var_port() (lava.magma.core.process.ports.ports.RefPort 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.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)
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)
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)
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.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.proc.dense.process)
DENSE (lava.proc.io.encoder.Compression attribute)
,
[1]
Dependency (class in lava.magma.core.learning.symbolic_equation)
dependency (lava.magma.core.learning.product_series.Product property)
deprecated() (in module lava.utils.system)
determine_sign_mode() (in module lava.utils.weightutils)
DiGraphBase (class in lava.magma.compiler.compiler_graphs)
dilation (lava.proc.conv.models.AbstractPyConvModel attribute)
dims (lava.lib.dnf.operations.shape_handlers.FlipShapeHandler property)
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)
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)
download_mnist() (lava.utils.dataloader.mnist.MnistDataset static method)
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.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)
encode_delta() (lava.proc.io.encoder.AbstractPyDeltaEncoderModel method)
encode_delta_sparse_8() (lava.proc.io.encoder.PyDeltaEncoderModelSparse method)
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)
equality (lava.lib.optimization.problems.constraints.ArithmeticConstraints property)
EqualityConstraints (class in lava.lib.optimization.problems.constraints)
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)
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)
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)
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)
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)
first_spike_times (lava.lib.dnf.inputs.rate_code_spike_gen.models.RateCodeSpikeGenProcessModel attribute)
flag_external_pipe() (lava.magma.core.process.ports.ports.InPort method)
(lava.magma.core.process.ports.ports.OutPort method)
flatten() (lava.magma.core.process.ports.ports.AbstractPort 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)
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)
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)
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_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_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)
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.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)
images (lava.utils.dataloader.mnist.MnistDataset property)
implements() (in module lava.magma.core.decorator)
implements_process (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.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)
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_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.dnf.operations.operations.Convolution property)
kernel_size (lava.proc.conv.models.AbstractPyConvModel attribute)
L
l_address (lava.magma.compiler.builders.interfaces.CompiledResource property)
labels (lava.utils.dataloader.mnist.MnistDataset property)
last_spiked (lava.lib.dnf.inputs.rate_code_spike_gen.models.RateCodeSpikeGenProcessModel attribute)
lava
module
,
[1]
,
[2]
lava.lib
module
,
[1]
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)
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)
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.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)
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_degree (lava.lib.optimization.problems.coefficients.CoefficientTensorsMixin property)
mean (lava.lib.dnf.inputs.gauss_pattern.process.GaussPattern property)
MEAN (lava.lib.dnf.operations.enums.ReduceMethod attribute)
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_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)
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.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
Monitor (class in lava.proc.monitor.process)
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)
NetL2 (class in lava.lib.optimization.solvers.generic.sub_process_models)
NeuroCore (class in lava.magma.core.resources)
neuron_group_id (lava.magma.compiler.var_model.LoihiNeuronAddress attribute)
NEUTRAL (lava.magma.compiler.compiler_graphs.NodeAnnotation attribute)
new_dims_shape (lava.lib.dnf.operations.shape_handlers.ExpandDimsShapeHandler property)
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_dims() (in module lava.lib.dnf.utils.convenience)
num_edges (lava.lib.optimization.utils.generators.mis.MISProblem 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_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.utils.weightutils)
OptimizedWeights (class in lava.utils.weightutils)
order (lava.lib.dnf.operations.shape_handlers.ReorderDimsShapeHandler property)
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_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.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)
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.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)
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_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)
precision (lava.magma.core.model.py.type.LavaPyType attribute)
precondition_problem() (lava.lib.optimization.problems.problems.QP method)
preferred_partition (lava.utils.system.Loihi2 attribute)
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)
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)
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)
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)
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
QP (class in lava.lib.optimization.problems.problems)
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 (lava.proc.spiker.models.SpikerModel attribute)
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_from_cache() (lava.magma.compiler.channel_map.ChannelMap method)
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)
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)
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)
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_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)
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.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)
Reset (class in lava.proc.io.reset)
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)
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)
RingBuffer (class in lava.proc.io.sink)
(class in lava.proc.io.source)
rng_seed (lava.magma.core.learning.learning_rule.LoihiLearningRule property)
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)
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)
SatConvergenceChecker (class in lava.lib.optimization.solvers.generic.hierarchical_processes)
save() (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_bias() (lava.proc.lif.models.AbstractPyLifModelFixed method)
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)
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)
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_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.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)
shuffle (lava.lib.optimization.utils.solver_tuner.SolverTuner property)
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)
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]
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)
Spiker (class in lava.proc.spiker.process)
Spiker32bit (class in lava.proc.spiker.process)
SpikerModel (class in lava.proc.spiker.models)
spikes (lava.lib.dnf.inputs.rate_code_spike_gen.models.RateCodeSpikeGenProcessModel attribute)
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.utils.system)
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)
stddev (lava.lib.dnf.inputs.gauss_pattern.process.GaussPattern property)
STDPLoihi (class in lava.proc.learning_rules.stdp_learning_rule)
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.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)
sync_channel_builders (lava.magma.compiler.executable.Executable attribute)
sync_domains (lava.magma.compiler.executable.Executable attribute)
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.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)
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_images (lava.utils.dataloader.mnist.MnistDataset property)
test_labels (lava.utils.dataloader.mnist.MnistDataset property)
theta (lava.lib.optimization.solvers.generic.scif.models.PyModelAbstractScifFixed attribute)
(lava.lib.optimization.solvers.generic.scif.models.PyModelQuboScifRefracFixed attribute)
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)
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)
TraceRandom (class in lava.magma.core.learning.random)
train_images (lava.utils.dataloader.mnist.MnistDataset property)
train_labels (lava.utils.dataloader.mnist.MnistDataset property)
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)
update() (lava.magma.compiler.subcompilers.py.pyproc_compiler.Offset method)
update_act() (lava.proc.dense.models.AbstractPyDelayDenseModel 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)
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_dims (lava.magma.compiler.var_model.ConvNeuronVarModel attribute)
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)
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.proc.conv.models.AbstractPyConvModel attribute)
(lava.proc.conv.models.PyConvModelFixed attribute)
(lava.proc.conv.models.PyConvModelFloat attribute)
weight_exp (lava.proc.conv.models.AbstractPyConvModel attribute)
(lava.utils.weightutils.OptimizedWeights 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)
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)