Concat Class Reference

A class that implements a concatenation operation for two input arrays, inheriting from MLFunction. More...

#include <Concat.h>

Inheritance diagram for Concat:

Public Member Functions
	Concat (int input1Dims, int input2Dims)
	Constructor that initializes the concatenation operation with input dimensions.
void	apply (const SelectivityVector &rows, std::vector< VectorPtr > &args, const TypePtr &type, exec::EvalCtx &context, VectorPtr &output) const override
	Applies the concatenation operation to the input arrays.
float *	getTensor () const override
	Returns the tensor associated with this function.
CostEstimate	getCost (std::vector< int > inputDims)
	Estimates the computational cost of applying the concatenation operation.
Public Member Functions inherited from MLFunction
virtual	~MLFunction ()=default
	Virtual destructor.
virtual std::vector< int >	getDims ()
	Returns the dimensions of the function.
virtual std::string	getFuncName ()
	Returns the name 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 ()
	Returns the function signatures supported by this class.
static std::string	getName ()
	Returns 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

A class that implements a concatenation operation for two input arrays, inheriting from MLFunction.

This class provides functionality to concatenate two input arrays along the feature dimension. It is designed to handle arrays of real numbers (floats).

Constructor & Destructor Documentation

Concat()

Concat::Concat ( int input1Dims, int input2Dims )

inline

Constructor that initializes the concatenation operation with input dimensions.

Parameters

input1Dims	The number of dimensions (features) in the first input array.
input2Dims	The number of dimensions (features) in the second input array.

Member Function Documentation

apply()

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

inlineoverride

Applies the concatenation operation to the input arrays.

This method processes the input arrays, concatenates them along the feature dimension, and stores the result in the output vector.

Parameters

rows	A SelectivityVector specifying the rows to process.
args	A vector of input arguments (e.g., the two input arrays).
type	The type of the output vector.
context	The execution context.
output	The output vector where the concatenated result will be stored.

getCost()

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

inlinevirtual

Estimates the computational cost of applying the concatenation operation.

Parameters

inputDims

A vector containing the dimensions of the input.

Returns

A CostEstimate object representing the estimated cost.

Reimplemented from MLFunction.

getName()

static std::string Concat::getName ( )

inlinestatic

Returns the name of the function.

Returns

The name of the function as a string ("concat").

getTensor()

float * Concat::getTensor ( ) const

inlineoverridevirtual

Returns the tensor associated with this function.

Returns

A null pointer (no tensor is associated with this function).

Implements MLFunction.

signatures()

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

inlinestatic

Returns the function signatures supported by this class.

Returns

A vector of shared pointers to FunctionSignature objects.

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

• Concat.h