Generate an output tensor with specified mode. More...

#include <NvInfer.h>

Inheritance diagram for nvinfer1::IFillLayer:

Public Member Functions
void	setDimensions (Dims dimensions) noexcept
	Set the output tensor's dimensions. More...

Dims	getDimensions () const noexcept
	Get the output tensor's dimensions. More...

void	setOperation (FillOperation op) noexcept
	Set the fill operation for the layer. More...

FillOperation	getOperation () const noexcept
	Get the fill operation for the layer. More...

void	setAlpha (double alpha) noexcept
	Set the alpha parameter. More...

double	getAlpha () const noexcept
	Get the value of alpha parameter. More...

void	setBeta (double beta) noexcept
	Set the beta parameter. More...

double	getBeta () const noexcept
	Get the value of beta parameter. More...

void	setInput (int32_t index, ITensor &tensor) noexcept
	replace an input of this layer with a specific tensor. More...

Public Member Functions inherited from nvinfer1::ILayer
LayerType	getType () const noexcept
	Return the type of a layer. More...

void	setName (const char *name) noexcept
	Set the name of a layer. More...

const char *	getName () const noexcept
	Return the name of a layer. More...

int32_t	getNbInputs () const noexcept
	Get the number of inputs of a layer.

ITensor *	getInput (int32_t index) const noexcept
	Get the layer input corresponding to the given index. More...

int32_t	getNbOutputs () const noexcept
	Get the number of outputs of a layer.

ITensor *	getOutput (int32_t index) const noexcept
	Get the layer output corresponding to the given index. More...

void	setInput (int32_t index, ITensor &tensor) noexcept
	Replace an input of this layer with a specific tensor. More...

void	setPrecision (DataType dataType) noexcept
	Set the computational precision of this layer. More...

DataType	getPrecision () const noexcept
	get the computational precision of this layer More...

bool	precisionIsSet () const noexcept
	whether the computational precision has been set for this layer More...

void	resetPrecision () noexcept
	reset the computational precision for this layer More...

void	setOutputType (int32_t index, DataType dataType) noexcept
	Set the output type of this layer. More...

DataType	getOutputType (int32_t index) const noexcept
	get the output type of this layer More...

bool	outputTypeIsSet (int32_t index) const noexcept
	whether the output type has been set for this layer More...

void	resetOutputType (int32_t index) noexcept
	reset the output type for this layer More...

Protected Attributes
apiv::VFillLayer *	mImpl

Protected Attributes inherited from nvinfer1::ILayer
apiv::VLayer *	mLayer

Additional Inherited Members
Protected Member Functions inherited from nvinfer1::INoCopy
	INoCopy (const INoCopy &other)=delete

INoCopy &	operator= (const INoCopy &other)=delete

	INoCopy (INoCopy &&other)=delete

INoCopy &	operator= (INoCopy &&other)=delete

Detailed Description

Generate an output tensor with specified mode.

The fill layer has two variants, static and dynamic. Static fill specifies its parameters at layer creation time via Dims and the get/set accessor functions of the IFillLayer. Dynamic fill specifies one or more of its parameters as ITensors, by using ILayer::setTensor to add a corresponding input. The corresponding static parameter is used if an input is missing or null.

The shape of the output is specified by the parameter Dimension, or if non-null and present, the first input, which must be a 1D Int32 shape tensor. Thus an application can determine if the IFillLayer has a dynamic output shape based on whether it has a non-null first input.

Alpha and Beta are treated differently based on the Fill Operation specified. See details in IFillLayer::setAlpha(), IFillLayer::setBeta(), and IFillLayer::setInput().

A fill layer can produce a shape tensor if the following restrictions are met:

The FillOperation is kLINSPACE.
The output is a 1D Int32 tensor with length not exceeding 2*Dims::MAX_DIMS.
There is at most one input, and if so, that input is input 0.
If input 0 exists, the length of the output tensor must be computable by constant folding.

See also: FillOperation

Warning: Do not inherit from this class, as doing so will break forward-compatibility of the API and ABI.

Member Function Documentation

◆ getAlpha()

double nvinfer1::IFillLayer::getAlpha ( ) const

inlinenoexcept

Get the value of alpha parameter.

Returns: A double value of alpha.

If the second input is present and non-null, this function returns a Dims with nbDims = -1.

See also: setAlpha

◆ getBeta()

double nvinfer1::IFillLayer::getBeta ( ) const

inlinenoexcept

Get the value of beta parameter.

Returns: A double value of beta.

If the third input is present and non-null, this function returns a Dims with nbDims = -1.

See also: setBeta

◆ getDimensions()

Dims nvinfer1::IFillLayer::getDimensions ( ) const

inlinenoexcept

Get the output tensor's dimensions.

Returns: The output tensor's dimensions, or an invalid Dims structure.

If the first input is present and non-null, this function returns a Dims with nbDims = -1.

See also: setDimensions

◆ getOperation()

FillOperation nvinfer1::IFillLayer::getOperation ( ) const

inlinenoexcept

Get the fill operation for the layer.

See also: setOperation(), FillOperation

◆ setAlpha()

void nvinfer1::IFillLayer::setAlpha ( double alpha )

inlinenoexcept

Set the alpha parameter.

Parameters

alpha has different meanings for each operator:

Operation | Usage kLINSPACE | the start value; kRANDOMUNIFORM | the minimum value;

If a second input had been used to create this layer, that input is reset to null by this method.

See also: getAlpha

◆ setBeta()

void nvinfer1::IFillLayer::setBeta ( double beta )

inlinenoexcept

Set the beta parameter.

Parameters

beta	has different meanings for each operator:

Operation | Usage kLINSPACE | the delta value; kRANDOMUNIFORM | the maximal value;

If a third input had been used to create this layer, that input is reset to null by this method.

See also: getBeta

◆ setDimensions()

void nvinfer1::IFillLayer::setDimensions ( Dims dimensions )

inlinenoexcept

Set the output tensor's dimensions.

Parameters

dimensions The output tensor's dimensions.

If the first input had been used to create this layer, that input is reset to null by this method.

See also: getDimensions

◆ setInput()

void nvinfer1::ILayer::setInput

inlinenoexcept

replace an input of this layer with a specific tensor.

Parameters

index	the index of the input to set.
tensor	the new input tensor

Indices for kLINSPACE are described as:

0: Shape tensor, represents the output tensor's dimensions.
1: Start, a scalar, represents the start value.
2: Delta, a 1D tensor, length equals to shape tensor's nbDims, represents the delta value for each dimension.

Indices for kRANDOM_UNIFORM are described as:

0: Shape tensor, represents the output tensor's dimensions.
1: Minimum, a scalar, represents the minimum random value.
2: Maximum, a scalar, represents the maximal random value.

Using the corresponding setter resets the input to null.

If either inputs 1 or 2, is non-null, then both must be non-null and have the same data type.

If this function is called for an index greater or equal to getNbInputs(), then afterwards getNbInputs() returns index + 1, and any missing intervening inputs are set to null.

◆ setOperation()

void nvinfer1::IFillLayer::setOperation ( FillOperation op )

inlinenoexcept

Set the fill operation for the layer.

See also: getOperation(), FillOperation

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

NvInfer.h

Public Member Functions

Protected Attributes

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ getAlpha()

◆ getBeta()

◆ getDimensions()

◆ getOperation()

◆ setAlpha()

◆ setBeta()

◆ setDimensions()

◆ setInput()

◆ setOperation()