Class ParamOperation<TIn, TOut>

Namespace

NeuralNetworks.Operations.Parameterized

Assembly

NeuralNetworks.dll

public abstract class ParamOperation<TIn, TOut> : Operation<TIn, TOut>, IParamOperation where TIn : notnull where TOut : notnull

Type Parameters

TIn

TOut

Inheritance

object

Operation

Operation<TIn, TOut>

ParamOperation<TIn, TOut>

Implements

IParamOperation

Derived

ParamOperation<TIn, TOut, TParam>

Inherited Members

Operation<TIn, TOut>.Input

Operation<TIn, TOut>.Output

Operation<TIn, TOut>.Forward(TIn, bool)

Operation<TIn, TOut>.Backward(TOut)

Operation<TIn, TOut>.CalcOutput(bool)

Operation<TIn, TOut>.CalcInputGradient(TOut)

Operation<TIn, TOut>.Forward(object, bool)

Operation<TIn, TOut>.Backward(object)

Operation<TIn, TOut>.GetOutputType()

Operation<TIn, TOut>.GetInputType()

Operation.SetRegistered()

Operation.GetOutputType()

Operation.GetInputType()

Operation.Forward(object, bool)

Operation.Backward(object)

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Methods

ApplyData(ParamOperationData, int, int)

public abstract void ApplyData(ParamOperationData data, int layerIndex, int operationIndex)

Parameters

data ParamOperationData

layerIndex int

operationIndex int

GetData()

public abstract ParamOperationData GetData()

Returns

ParamOperationData

GetParamCount()

public abstract int GetParamCount()

Returns

int

UpdateParams(Optimizer)

public abstract void UpdateParams(Optimizer optimizer)

Parameters

optimizer Optimizer