Package deepboof.impl.forward.standard

Class FunctionLinear_F32

java.lang.Object

deepboof.impl.forward.standard.BaseFunction<Tensor_F32>

deepboof.impl.forward.standard.FunctionLinear_F32

All Implemented Interfaces:

FunctionLinear<Tensor_F32>, Function<Tensor_F32>

public class FunctionLinear_F32
extends BaseFunction<Tensor_F32>
implements FunctionLinear<Tensor_F32>

Implementation of FunctionLinear for Tensor_F32.

Field Summary

Fields

Modifier and Type	Field	Description
protected int	D
protected int	M

Fields inherited from class deepboof.impl.forward.standard.BaseFunction

miniBatchSize, parameters, shapeInput, shapeOutput, shapeParameters

Constructor Summary

Constructors

Constructor	Description
FunctionLinear_F32(int numberOfOutputs)

Method Summary

Modifier and Type	Method	Description
void	_forward(Tensor_F32 input, Tensor_F32 output)
void	_initialize()
void	_setParameters(java.util.List<Tensor_F32> parameters)
static void	forwards(Tensor_F32 input, Tensor_F32 output, Tensor_F32 weight, Tensor_F32 bias, int miniBatchSize, int D, int M)
int	getNumberOfOutputs()	Returns the number of output elements.
java.lang.Class<Tensor_F32>	getTensorType()	Returns the type of tensor it can process

Methods inherited from class deepboof.impl.forward.standard.BaseFunction

forward, getOutputShape, getParameters, getParameterShapes, initialize, setParameters

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface deepboof.Function

getOutputShape, getParameters, getParameterShapes, initialize

Methods inherited from interface deepboof.forward.FunctionLinear

forward, setParameters

Field Details

D

protected int D

M

protected int M

Constructor Details

FunctionLinear_F32

public FunctionLinear_F32(int numberOfOutputs)

Method Details

_forward

public void _forward(Tensor_F32 input, Tensor_F32 output)

Specified by:

_forward in class BaseFunction<Tensor_F32>

forwards

public static void forwards(Tensor_F32 input, Tensor_F32 output, Tensor_F32 weight, Tensor_F32 bias, int miniBatchSize, int D, int M)

_initialize

public void _initialize()

Specified by:

_initialize in class BaseFunction<Tensor_F32>

_setParameters

public void _setParameters(java.util.List<Tensor_F32> parameters)

Specified by:

_setParameters in class BaseFunction<Tensor_F32>

getNumberOfOutputs

public int getNumberOfOutputs()

Description copied from interface: FunctionLinear

Returns the number of output elements. This is the variable M.

Specified by:

getNumberOfOutputs in interface FunctionLinear<Tensor_F32>

Returns:

Number of output elements.

getTensorType

public java.lang.Class<Tensor_F32> getTensorType()

Description copied from interface: Function

Returns the type of tensor it can process

Specified by:

getTensorType in interface Function<Tensor_F32>

Returns:

Type of tensor