Class ParamOperation<TIn, TOut, TParam>

Namespace

NeuralNetworks.Operations.Parameterized

Assembly

NeuralNetworks.dll

An Operation with parameters of type TParam.

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

Type Parameters

TIn

TOut

TParam

Inheritance

object

Operation

Operation<TIn, TOut>

ParamOperation<TIn, TOut>

ParamOperation<TIn, TOut, TParam>

Implements

IParamOperation

Derived

BiasAdd

BiasAddConv1D

BiasAddConv2D

Conv1D

Conv2D

WeightMultiply

Inherited Members

ParamOperation<TIn, TOut>.GetParamCount()

ParamOperation<TIn, TOut>.UpdateParams(Optimizer)

ParamOperation<TIn, TOut>.GetData()

ParamOperation<TIn, TOut>.ApplyData(ParamOperationData, int, int)

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()

Constructors

ParamOperation(TParam)

An Operation with parameters of type TParam.

protected ParamOperation(TParam param)

Parameters

param TParam

Parameter matrix.

Properties

Param

protected TParam Param { get; }

Property Value

TParam

Methods

ApplyData(ParamOperationData, int, int)

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

Parameters

data ParamOperationData

layerIndex int

operationIndex int

Backward(TOut)

Converts output gradient to input gradient.

public override TIn Backward(TOut outputGradient)

Parameters

outputGradient TOut

Returns

TIn

CalcParamGradient(TOut)

protected abstract TParam CalcParamGradient(TOut outputGradient)

Parameters

outputGradient TOut

Returns

TParam

GetData()

public override ParamOperationData GetData()

Returns

ParamOperationData

GetParamCount()

public override int GetParamCount()

Returns

int

UpdateParams(Optimizer)

public override void UpdateParams(Optimizer optimizer)

Parameters

optimizer Optimizer