Class PruningConfig

Namespace

AiDotNet.Interfaces

Assembly

AiDotNet.dll

Configuration for pruning operations.

public class PruningConfig

Inheritance

object

PruningConfig

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Properties

FineTuneAfterPruning

Whether to fine-tune after pruning.

public bool FineTuneAfterPruning { get; set; }

Property Value

bool

FineTuningEpochs

Number of fine-tuning epochs after pruning.

public int FineTuningEpochs { get; set; }

Property Value

int

GradualPruning

Whether to use gradual pruning (multiple iterations).

public bool GradualPruning { get; set; }

Property Value

bool

InitialSparsity

Initial sparsity for gradual pruning.

public double InitialSparsity { get; set; }

Property Value

double

LayerSparsityTargets

Per-layer sparsity targets (layer name → sparsity).

public Dictionary<string, double>? LayerSparsityTargets { get; set; }

Property Value

Dictionary<string, double>

LayerWiseSparsity

Whether to apply different sparsity per layer (sensitivity-based).

public bool LayerWiseSparsity { get; set; }

Property Value

bool

OutputFormat

Output sparse format for storage.

public SparseFormat OutputFormat { get; set; }

Property Value

SparseFormat

Pattern

Sparsity pattern to use.

public SparsityPattern Pattern { get; set; }

Property Value

SparsityPattern

PruningIterations

Number of pruning iterations for gradual pruning.

public int PruningIterations { get; set; }

Property Value

int

SparsityM

M value for N:M sparsity (group size).

public int SparsityM { get; set; }

Property Value

int

SparsityN

N value for N:M sparsity (zeros per group).

public int SparsityN { get; set; }

Property Value

int

TargetSparsity

Target sparsity level (0.0 to 1.0).

public double TargetSparsity { get; set; }

Property Value

double