Class EagerInitializationStrategy<T>

Namespace

AiDotNet.Initialization

Assembly

AiDotNet.dll

Eager initialization strategy that initializes weights immediately on construction.

public class EagerInitializationStrategy<T> : InitializationStrategyBase<T>, IInitializationStrategy<T>

Type Parameters

T

The numeric type used for calculations.

Inheritance

object

InitializationStrategyBase<T>

EagerInitializationStrategy<T>

Implements

IInitializationStrategy<T>

Inherited Members

InitializationStrategyBase<T>.NumOps

InitializationStrategyBase<T>.Random

InitializationStrategyBase<T>.XavierUniformInitialize(Tensor<T>, int, int)

InitializationStrategyBase<T>.XavierNormalInitialize(Tensor<T>, int, int)

InitializationStrategyBase<T>.HeUniformInitialize(Tensor<T>, int)

InitializationStrategyBase<T>.HeNormalInitialize(Tensor<T>, int)

InitializationStrategyBase<T>.ZeroInitializeBiases(Tensor<T>)

InitializationStrategyBase<T>.SampleGaussian(double, double)

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Remarks

This is the traditional initialization approach where weights are allocated and initialized during layer construction. This ensures all weights are ready before any training or inference begins.

Properties

IsLazy

Gets a value indicating whether this strategy defers initialization until first use.

public override bool IsLazy { get; }

Property Value

bool

true if initialization is deferred until first Forward() call; false if initialization happens immediately.

LoadFromExternal

Gets a value indicating whether weights should be loaded from an external source.

public override bool LoadFromExternal { get; }

Property Value

bool

true if weights should be loaded from file or other external source; false if weights should be randomly initialized.

Methods

InitializeBiases(Tensor<T>)

Initializes the biases tensor with appropriate values.

public override void InitializeBiases(Tensor<T> biases)

Parameters

biases Tensor<T>

The biases tensor to initialize.

InitializeWeights(Tensor<T>, int, int)

Initializes the weights tensor with appropriate values.

public override void InitializeWeights(Tensor<T> weights, int inputSize, int outputSize)

Parameters

weights Tensor<T>

The weights tensor to initialize.

inputSize int

The number of input features.

outputSize int

The number of output features.