/// <summary>
/// The deep copy constructor
/// </summary>
/// <param name="source">Source instance</param>
public ReservoirSettings(ReservoirSettings source)
{
SettingsName = source.SettingsName;
InputCoding = source.InputCoding;
InputDuration = source.InputDuration;
SpectralRadius = source.SpectralRadius;
PoolSettingsCollection = null;
if (source.PoolSettingsCollection != null)
{
PoolSettingsCollection = new List <PoolSettings>(source.PoolSettingsCollection.Count);
foreach (PoolSettings srcPoolSettings in source.PoolSettingsCollection)
{
PoolSettingsCollection.Add(srcPoolSettings.DeepClone());
}
}
PoolsInterconnectionCollection = null;
if (source.PoolsInterconnectionCollection != null)
{
PoolsInterconnectionCollection = new List <PoolsInterconnection>(source.PoolsInterconnectionCollection.Count);
foreach (PoolsInterconnection poolsInterConn in source.PoolsInterconnectionCollection)
{
PoolsInterconnectionCollection.Add(poolsInterConn.DeepClone());
}
}
return;
}
//Methods
/// <summary>
/// See the base.
/// </summary>
public override bool Equals(object obj)
{
if (obj == null)
{
return(false);
}
ReservoirSettings cmpSettings = obj as ReservoirSettings;
if (SettingsName != cmpSettings.SettingsName ||
InputCoding != cmpSettings.InputCoding ||
InputDuration != cmpSettings.InputDuration ||
SpectralRadius != cmpSettings.SpectralRadius ||
(PoolSettingsCollection == null && cmpSettings.PoolSettingsCollection != null) ||
(PoolSettingsCollection != null && cmpSettings.PoolSettingsCollection == null) ||
(PoolSettingsCollection != null && PoolSettingsCollection.Count != cmpSettings.PoolSettingsCollection.Count) ||
(PoolsInterconnectionCollection == null && cmpSettings.PoolsInterconnectionCollection != null) ||
(PoolsInterconnectionCollection != null && cmpSettings.PoolsInterconnectionCollection == null) ||
(PoolsInterconnectionCollection != null && PoolsInterconnectionCollection.Count != cmpSettings.PoolsInterconnectionCollection.Count)
)
{
return(false);
}
if (PoolSettingsCollection != null)
{
for (int i = 0; i < PoolSettingsCollection.Count; i++)
{
if (!Equals(PoolSettingsCollection[i], cmpSettings.PoolSettingsCollection[i]))
{
return(false);
}
}
}
if (PoolsInterconnectionCollection != null)
{
for (int i = 0; i < PoolsInterconnectionCollection.Count; i++)
{
if (!Equals(PoolsInterconnectionCollection[i], cmpSettings.PoolsInterconnectionCollection[i]))
{
return(false);
}
}
}
return(true);
}
/// <summary>
/// Creates the instance and initializes it from given xml element.
/// This is the preferred way to instantiate State Machine settings.
/// </summary>
/// <param name="elem">
/// Xml data containing State Machine settings.
/// Content of xml element is always validated against the xml schema.
/// </param>
public StateMachineSettings(XElement elem)
{
//Validation
ElemValidator validator = new ElemValidator();
Assembly assemblyRCNet = Assembly.GetExecutingAssembly();
validator.AddXsdFromResources(assemblyRCNet, "RCNet.Neural.Network.SM.StateMachineSettings.xsd");
validator.AddXsdFromResources(assemblyRCNet, "RCNet.RCNetTypes.xsd");
XElement stateMachineSettingsElem = validator.Validate(elem, "rootElem");
//Parsing
//Randomizer seek
RandomizerSeek = int.Parse(stateMachineSettingsElem.Attribute("randomizerSeek").Value);
//Neural preprocessor
NeuralPreprocessorConfig = new NeuralPreprocessorSettings(stateMachineSettingsElem.Descendants("neuralPreprocessor").First());
//Readout layer
ReadoutLayerConfig = new ReadoutLayerSettings(stateMachineSettingsElem.Descendants("readoutLayer").First());
//Mapper
XElement mapperSettingsElem = stateMachineSettingsElem.Descendants("mapper").FirstOrDefault();
if(mapperSettingsElem != null)
{
//Create mapper object
MapperCfg = new MapperSettings();
//Loop through mappings
foreach(XElement mapElem in mapperSettingsElem.Descendants("map"))
{
//Readout unit name
string readoutUnitName = mapElem.Attribute("readoutUnitName").Value;
int readoutUnitIdx = -1;
for (int i = 0; i < ReadoutLayerConfig.ReadoutUnitCfgCollection.Count; i++)
{
if(ReadoutLayerConfig.ReadoutUnitCfgCollection[i].Name == readoutUnitName)
{
readoutUnitIdx = i;
break;
}
else if(i == ReadoutLayerConfig.ReadoutUnitCfgCollection.Count - 1)
{
throw new Exception($"Name {readoutUnitName} not found among readout units.");
}
}
//Allowed pools
List<MapperSettings.AllowedPool> allowedPools = new List<MapperSettings.AllowedPool>();
XElement allowedPoolsElem = mapElem.Descendants("allowedPools").FirstOrDefault();
if (allowedPoolsElem != null)
{
foreach (XElement allowedPoolElem in allowedPoolsElem.Descendants("pool"))
{
//Reservoir instance name
string reservoirInstanceName = allowedPoolElem.Attribute("reservoirInstanceName").Value;
int reservoirInstanceIdx = -1;
for (int i = 0; i < NeuralPreprocessorConfig.ReservoirInstanceDefinitionCollection.Count; i++)
{
if (NeuralPreprocessorConfig.ReservoirInstanceDefinitionCollection[i].InstanceName == reservoirInstanceName)
{
reservoirInstanceIdx = i;
break;
}
else if (i == NeuralPreprocessorConfig.ReservoirInstanceDefinitionCollection.Count - 1)
{
throw new Exception($"Name {reservoirInstanceName} not found among resevoir instances.");
}
}
//Pool name
string reservoirCfgName = NeuralPreprocessorConfig.ReservoirInstanceDefinitionCollection[reservoirInstanceIdx].Settings.SettingsName;
ReservoirSettings reservoirSettings = NeuralPreprocessorConfig.ReservoirInstanceDefinitionCollection[reservoirInstanceIdx].Settings;
string poolName = allowedPoolElem.Attribute("poolName").Value;
int poolIdx = -1;
for (int i = 0; i < reservoirSettings.PoolSettingsCollection.Count; i++)
{
if (reservoirSettings.PoolSettingsCollection[i].Name == poolName)
{
poolIdx = i;
break;
}
else if (i == reservoirSettings.PoolSettingsCollection.Count - 1)
{
throw new Exception($"Name {poolName} not found among resevoir's pools.");
}
}
allowedPools.Add(new MapperSettings.AllowedPool { _reservoirInstanceIdx = reservoirInstanceIdx, _poolIdx = poolIdx });
}
MapperCfg.PoolsMap.Add(readoutUnitName, allowedPools);
}
//Allowed routed input fields
List<int> allowedRoutedFieldsIdxs = new List<int>();
XElement allowedInputFieldsElem = mapElem.Descendants("allowedInputFields").FirstOrDefault();
List<string> routedInputFieldNames = NeuralPreprocessorConfig.InputConfig.RoutedFieldNameCollection();
if (allowedInputFieldsElem != null)
{
foreach (XElement allowedInputFieldElem in allowedInputFieldsElem.Descendants("field"))
{
//Input field name
string inputFieldName = allowedInputFieldElem.Attribute("name").Value;
int routedFieldIdx = routedInputFieldNames.IndexOf(inputFieldName);
if (routedFieldIdx == -1)
{
throw new Exception($"Name {inputFieldName} not found among input fields allowed to be routed to readout.");
}
allowedRoutedFieldsIdxs.Add(routedFieldIdx);
}
MapperCfg.RoutedInputFieldsMap.Add(readoutUnitName, allowedRoutedFieldsIdxs);
}
}
}
return;
}
/// <summary>
/// Creates the deep copy instance of this instance
/// </summary>
public ReservoirSettings DeepClone()
{
ReservoirSettings clone = new ReservoirSettings(this);
return(clone);
}
/// <summary>
/// Instantiates the reservoir
/// </summary>
/// <param name="instanceName">The name of the reservoir instance</param>
/// <param name="numOfInputNodes">Number of reservoir inputs</param>
/// <param name="inputRange">Range of input values</param>
/// <param name="settings">Reservoir settings</param>
/// <param name="augmentedStates">Specifies whether this reservoir will add augmented states to output predictors</param>
/// <param name="randomizerSeek">
/// A value greater than or equal to 0 will always ensure the same initialization of the internal
/// random number generator and therefore the same reservoir structure, which is good for tuning purposes.
/// A value less than 0 causes a fully random initialization each time creating a reservoir instance.
/// </param>
public Reservoir(string instanceName, int numOfInputNodes, Interval inputRange, ReservoirSettings settings, bool augmentedStates, int randomizerSeek = -1)
{
//Set instance name
_instanceName = instanceName;
//Copy settings
_settings = settings.DeepClone();
//Random generator initialization
if (randomizerSeek < 0)
{
_rand = new Random();
}
else
{
_rand = new Random(randomizerSeek);
}
//Prepare neuron buffers
//Input neurons
_inputNeurons = new INeuron[numOfInputNodes];
for (int i = 0; i < numOfInputNodes; i++)
{
if (_settings.InputCoding == CommonEnums.InputCodingType.Analog)
{
//Analog input
_inputNeurons[i] = new InputAnalogNeuron(i, inputRange);
}
else
{
//Spiking input
_inputNeurons[i] = new InputSpikingNeuron(i, inputRange, _settings.InputDuration);
}
}
//Pools
_numOfPredictors = 0;
List <INeuron> allNeurons = new List <INeuron>();
int neuronGlobalFlatIdx = 0;
int totalNumOfNeurons = 0;
_poolNeuronsCollection = new List <INeuron[]>(_settings.PoolSettingsCollection.Count);
for (int poolID = 0; poolID < _settings.PoolSettingsCollection.Count; poolID++)
{
PoolSettings poolSettings = _settings.PoolSettingsCollection[poolID];
totalNumOfNeurons += poolSettings.Dim.Size;
_numOfPredictors += poolSettings.RouteToReadout ? poolSettings.Dim.Size : 0;
INeuron[] poolNeurons = new INeuron[poolSettings.Dim.Size];
//Retainment rates
double[] retRates = new double[poolSettings.Dim.Size];
retRates.Populate(0);
if (poolSettings.RetainmentNeuronsFeature)
{
int[] indices = new int[poolSettings.Dim.Size];
indices.ShuffledIndices(_rand);
int numOfRetNeurons = (int)Math.Round(poolSettings.RetainmentNeuronsDensity * poolSettings.Dim.Size, 0);
for (int i = 0; i < numOfRetNeurons; i++)
{
retRates[indices[i]] = _rand.NextDouble(poolSettings.RetainmentMinRate, poolSettings.RetainmentMaxRate, false, RandomClassExtensions.DistributionType.Uniform);
}
}
//Neuron signal types distribution
CommonEnums.NeuronSignalType[] sigTypes = new CommonEnums.NeuronSignalType[poolSettings.Dim.Size];
sigTypes.Populate(CommonEnums.NeuronSignalType.Excitatory);
int[] inhibitoryIndices = new int[poolSettings.Dim.Size];
inhibitoryIndices.ShuffledIndices(_rand);
int numOfInhibitoryNeurons = (int)Math.Round(poolSettings.InhibitoryNeuronsDensity * poolSettings.Dim.Size, 0);
for (int i = 0; i < numOfInhibitoryNeurons; i++)
{
sigTypes[inhibitoryIndices[i]] = CommonEnums.NeuronSignalType.Inhibitory;
}
//Instantiate neurons
int neuronPoolIdx = 0;
for (int x = 0; x < poolSettings.Dim.X; x++)
{
for (int y = 0; y < poolSettings.Dim.Y; y++)
{
for (int z = 0; z < poolSettings.Dim.Z; z++)
{
NeuronPlacement placement = new NeuronPlacement(neuronGlobalFlatIdx, poolID, neuronPoolIdx, x, y, z);
IActivationFunction activation = null;
double bias = 0;
if (sigTypes[neuronPoolIdx] == CommonEnums.NeuronSignalType.Excitatory)
{
//Activation and bias for Excitatory neuron
activation = ActivationFactory.Create(poolSettings.ExcitatoryActivation);
bias = _rand.NextDouble(poolSettings.ExcitatoryBias.Min, poolSettings.ExcitatoryBias.Max, poolSettings.ExcitatoryBias.RandomSign, poolSettings.ExcitatoryBias.DistrType);
}
else
{
//Activation and bias for Inhibitory neuron
activation = ActivationFactory.Create(poolSettings.InhibitoryActivation);
bias = _rand.NextDouble(poolSettings.InhibitoryBias.Min, poolSettings.InhibitoryBias.Max, poolSettings.InhibitoryBias.RandomSign, poolSettings.InhibitoryBias.DistrType);
}
//Neuron instance
if (activation.OutputSignalType == ActivationFactory.FunctionOutputSignalType.Spike)
{
//Spiking neuron
poolNeurons[neuronPoolIdx] = new ReservoirSpikingNeuron(placement,
sigTypes[neuronPoolIdx],
activation,
bias
);
}
else
{
//Analog neuron
poolNeurons[neuronPoolIdx] = new ReservoirAnalogNeuron(placement,
sigTypes[neuronPoolIdx],
activation,
bias,
retRates[neuronPoolIdx]
);
}
allNeurons.Add(poolNeurons[neuronPoolIdx]);
++neuronPoolIdx;
++neuronGlobalFlatIdx;
}
}
}
_poolNeuronsCollection.Add(poolNeurons);
}
//All neurons flat structure
_neurons = allNeurons.ToArray();
//Interconnections
//Banks allocations
_neuronInputConnectionsCollection = new List <ISynapse> [totalNumOfNeurons];
_neuronNeuronConnectionsCollection = new List <ISynapse> [totalNumOfNeurons];
for (int n = 0; n < totalNumOfNeurons; n++)
{
_neuronInputConnectionsCollection[n] = new List <ISynapse>();
_neuronNeuronConnectionsCollection[n] = new List <ISynapse>();
}
//Wiring setup
//Pools internal connections
for (int poolID = 0; poolID < _poolNeuronsCollection.Count; poolID++)
{
//Input connection
SetPoolInputConnections(poolID, _settings.PoolSettingsCollection[poolID]);
//Pool interconnection
if (_settings.PoolSettingsCollection[poolID].InterconnectionAvgDistance > 0)
{
//Required to keep average distance
SetPoolDistInterconnections(poolID, _settings.PoolSettingsCollection[poolID]);
}
else
{
//Not required to keep average distance
SetPoolRandInterconnections(poolID, _settings.PoolSettingsCollection[poolID]);
}
}
//Add pool to pool connections
foreach (ReservoirSettings.PoolsInterconnection poolsInterConn in _settings.PoolsInterconnectionCollection)
{
SetPool2PoolInterconnections(poolsInterConn);
}
//Spectral radius
if (_settings.SpectralRadius > 0)
{
double maxEigenValue = ComputeMaxEigenValue();
if (maxEigenValue == 0)
{
throw new Exception("Invalid reservoir weights. Max eigenvalue is 0.");
}
double scale = _settings.SpectralRadius / maxEigenValue;
//Scale internal weights
foreach (List <ISynapse> connCollection in _neuronNeuronConnectionsCollection)
{
foreach (ISynapse conn in connCollection)
{
conn.Weight *= scale;
}
}
}
//Augmented states
_augmentedStatesFeature = augmentedStates;
return;
}
