Class SpMVOp

Namespace

AiDotNet.JitCompiler.IR.Operations

Assembly

AiDotNet.dll

Represents sparse matrix-vector multiplication in the IR.

public class SpMVOp : IROp

Inheritance

object

IROp

SpMVOp

Inherited Members

IROp.OutputIds

IROp.OutputId

IROp.InputIds

IROp.OutputType

IROp.OutputShape

IROp.OutputShapes

IROp.OpType

IROp.ToString()

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

Remarks

SpMV computes y = A * x where A is a sparse matrix and x is a dense vector. This is a fundamental operation for graph neural networks and sparse models.

For Beginners: Sparse matrices have mostly zero values. Instead of storing all those zeros, we only store the non-zero elements. SpMV multiplies such a sparse matrix by a regular (dense) vector efficiently.

Properties

Columns

Gets or sets the number of columns in the sparse matrix.

public int Columns { get; set; }

Property Value

int

NonZeroCount

Gets or sets the number of non-zero elements.

public int NonZeroCount { get; set; }

Property Value

int

Rows

Gets or sets the number of rows in the sparse matrix.

public int Rows { get; set; }

Property Value

int

Methods

Validate()

Validates that this operation is correctly formed.

public override bool Validate()

Returns

bool

True if valid, false otherwise.