MatrixMultiply_h Class Reference

Class for performing matrix multiplication with a hierarchical approach. More...

#include <functions.h>

Inheritance diagram for MatrixMultiply_h:

Public Member Functions
	MatrixMultiply_h (int num_rows, int num_cols, int block_size)
	Constructor for MatrixMultiply_h.
void	apply (const SelectivityVector &rows, std::vector< VectorPtr > &args, const TypePtr &outputType, exec::EvalCtx &context, VectorPtr &output) const override
	Apply the hierarchical matrix multiplication operation.
float *	getTensor () const override
	Get the tensor data associated with this function.
std::string	getFuncName ()
	Get the name of the function.
CostEstimate	getCost (std::vector< int > inputDims)
	Estimate the computational cost of the function.
Public Member Functions inherited from MLFunction
virtual	~MLFunction ()=default
	Virtual destructor.
virtual std::vector< int >	getDims ()
	Returns the dimensions of the function.
virtual int	getNumDims ()
	Returns the number of dimensions of the function.

Static Public Member Functions
static std::vector< std::shared_ptr< exec::FunctionSignature > >	signatures ()
	Get the function signatures for hierarchical matrix multiplication.
static std::string	getName ()
	Get the name of the function.

Additional Inherited Members
Protected Member Functions inherited from MLFunction
double	getWeightedCost (std::string name, float cost)
	Calculates the weighted cost of the function.
std::vector< double >	getCoefficientVector (std::string name)
	Retrieves the cost coefficients for the function.
Protected Attributes inherited from MLFunction
std::vector< int >	dims
	Dimensions of the function.

Detailed Description

Class for performing matrix multiplication with a hierarchical approach.

This class implements matrix multiplication using a hierarchical approach, which is useful for optimizing performance on large matrices by breaking the computation into smaller blocks.

Constructor & Destructor Documentation

MatrixMultiply_h()

MatrixMultiply_h::MatrixMultiply_h ( int num_rows, int num_cols, int block_size )

inline

Constructor for MatrixMultiply_h.

Parameters

num_rows	The number of rows in the matrix.
num_cols	The number of columns in the matrix.
block_size	The size of each block for hierarchical computation.

Member Function Documentation

apply()

void MatrixMultiply_h::apply ( const SelectivityVector & rows, std::vector< VectorPtr > & args, const TypePtr & outputType, exec::EvalCtx & context, VectorPtr & output ) const

inlineoverride

Apply the hierarchical matrix multiplication operation.

Parameters

rows	The selectivity vector indicating which rows to process.
args	The input arguments.
outputType	The type of the output vector.
context	The evaluation context.
output	The output vector.

getCost()

CostEstimate MatrixMultiply_h::getCost ( std::vector< int > inputDims )

inlinevirtual

Estimate the computational cost of the function.

Parameters

inputDims

The dimensions of the input data.

Returns

A CostEstimate object representing the estimated cost.

Reimplemented from MLFunction.

getFuncName()

std::string MatrixMultiply_h::getFuncName ( )

inlinevirtual

Get the name of the function.

Returns

A string representing the function name.

Reimplemented from MLFunction.

getName()

static std::string MatrixMultiply_h::getName ( )

inlinestatic

Get the name of the function.

Returns

A string representing the function name.

getTensor()

float * MatrixMultiply_h::getTensor ( ) const

inlineoverridevirtual

Get the tensor data associated with this function.

Returns

A pointer to the tensor data.

Implements MLFunction.

signatures()

static std::vector< std::shared_ptr< exec::FunctionSignature > > MatrixMultiply_h::signatures ( )

inlinestatic

Get the function signatures for hierarchical matrix multiplication.

Returns

A vector of function signatures.

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The documentation for this class was generated from the following file:

• functions.h