Layer type for shuffling data. More...

#include <NvInfer.h>

Inheritance diagram for nvinfer1::IShuffleLayer:

Public Member Functions
virtual void	setFirstTranspose (Permutation permutation)=0
	Set the permutation applied by the first transpose operation. More...

virtual Permutation	getFirstTranspose () const =0
	Get the permutation applied by the first transpose operation. More...

virtual void	setReshapeDimensions (Dims dimensions)=0
	Set the reshaped dimensions. More...

virtual Dims	getReshapeDimensions () const =0
	Get the reshaped dimensions. More...

void	setInput (int32_t index, ITensor &tensor) _TENSORRT_OVERRIDE=0
	Append or replace an input of this layer with a specific tensor. More...

virtual void	setSecondTranspose (Permutation permutation)=0
	Set the permutation applied by the second transpose operation. More...

virtual Permutation	getSecondTranspose () const =0
	Get the permutation applied by the second transpose operation. More...

virtual void	setZeroIsPlaceholder (bool zeroIsPlaceholder)=0
	Set meaning of 0 in reshape dimensions. More...

virtual bool	getZeroIsPlaceholder () const =0
	Get meaning of 0 in reshape dimensions. More...

Public Member Functions inherited from nvinfer1::ILayer
virtual LayerType	getType () const =0
	Return the type of a layer. More...

virtual void	setName (const char *name)=0
	Set the name of a layer. More...

virtual const char *	getName () const =0
	Return the name of a layer. More...

virtual int32_t	getNbInputs () const =0
	Get the number of inputs of a layer.

virtual ITensor *	getInput (int32_t index) const =0
	Get the layer input corresponding to the given index. More...

virtual int32_t	getNbOutputs () const =0
	Get the number of outputs of a layer.

virtual ITensor *	getOutput (int32_t index) const =0
	Get the layer output corresponding to the given index. More...

virtual void	setPrecision (DataType dataType)=0
	Set the computational precision of this layer. More...

virtual DataType	getPrecision () const =0
	get the computational precision of this layer More...

virtual bool	precisionIsSet () const =0
	whether the computational precision has been set for this layer More...

virtual void	resetPrecision ()=0
	reset the computational precision for this layer More...

virtual void	setOutputType (int32_t index, DataType dataType)=0
	Set the output type of this layer. More...

virtual DataType	getOutputType (int32_t index) const =0
	get the output type of this layer More...

virtual bool	outputTypeIsSet (int32_t index) const =0
	whether the output type has been set for this layer More...

virtual void	resetOutputType (int32_t index)=0
	reset the output type for this layer More...

Detailed Description

Layer type for shuffling data.

This class shuffles data by applying in sequence: a transpose operation, a reshape operation and a second transpose operation. The dimension types of the output are those of the reshape dimension.

The layer has an optional second input. If present, it must be a 1D Int32 shape tensor, and the reshape dimensions are taken from it.

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

Member Function Documentation

◆ getFirstTranspose()

virtual Permutation nvinfer1::IShuffleLayer::getFirstTranspose ( ) const

pure virtual

Get the permutation applied by the first transpose operation.

Returns: The dimension permutation applied before the reshape.

See also: setFirstTranspose

◆ getReshapeDimensions()

virtual Dims nvinfer1::IShuffleLayer::getReshapeDimensions ( ) const

pure virtual

Get the reshaped dimensions.

Returns: The reshaped dimensions.

If a second input is present and non-null, or setReshapeDimensions has not yet been called, this function returns Dims with nbDims == -1.

◆ getSecondTranspose()

virtual Permutation nvinfer1::IShuffleLayer::getSecondTranspose ( ) const

pure virtual

Get the permutation applied by the second transpose operation.

Returns: The dimension permutation applied after the reshape.

See also: setSecondTranspose

◆ getZeroIsPlaceholder()

virtual bool nvinfer1::IShuffleLayer::getZeroIsPlaceholder ( ) const

pure virtual

Get meaning of 0 in reshape dimensions.

Returns: true if 0 is placeholder for corresponding input dimension, false if 0 denotes a zero-length dimension.

See also: setZeroIsPlaceholder

◆ setFirstTranspose()

virtual void nvinfer1::IShuffleLayer::setFirstTranspose ( Permutation permutation )

pure virtual

Set the permutation applied by the first transpose operation.

Parameters

permutation The dimension permutation applied before the reshape.

The default is the identity permutation.

See also: getFirstTranspose

◆ setInput()

void nvinfer1::IShuffleLayer::setInput	(	int32_t	index,
		ITensor &	tensor
	)

pure virtual

Append or replace an input of this layer with a specific tensor.

Parameters

index	the index of the input to modify.
tensor	the new input tensor Sets the input tensor for the given index. The index must be 0 for a static shuffle layer. A static shuffle layer is converted to a dynamic shuffle layer by calling setInput with an index 1. A dynamic shuffle layer cannot be converted back to a static shuffle layer.

For a dynamic shuffle layer, the values 0 and 1 are valid. The indices in the dynamic case are as follows:

0: Data or Shape tensor to be shuffled.
1: The dimensions for the reshape operation, as a 1D Int32 shape tensor.

If this function is called with a value 1, then the function getNbInputs() changes from returning 1 to 2.

Implements nvinfer1::ILayer.

◆ setReshapeDimensions()

virtual void nvinfer1::IShuffleLayer::setReshapeDimensions ( Dims dimensions )

pure virtual

Set the reshaped dimensions.

Parameters

dimensions The reshaped dimensions.

Two special values can be used as dimensions.

Value 0 copies the corresponding dimension from input. This special value can be used more than once in the dimensions. If number of reshape dimensions is less than input, 0s are resolved by aligning the most significant dimensions of input.

Value -1 infers that particular dimension by looking at input and rest of the reshape dimensions. Note that only a maximum of one dimension is permitted to be specified as -1.

The product of the new dimensions must be equal to the product of the old.

If the second input is set, it is reset to null.

◆ setSecondTranspose()

virtual void nvinfer1::IShuffleLayer::setSecondTranspose ( Permutation permutation )

pure virtual

Set the permutation applied by the second transpose operation.

Parameters

permutation The dimension permutation applied after the reshape.

The default is the identity permutation.

The permutation is applied as outputDimensionIndex = permutation.order[inputDimensionIndex], so to permute from CHW order to HWC order, the required permutation is [1, 2, 0].

See also: getSecondTranspose

◆ setZeroIsPlaceholder()

virtual void nvinfer1::IShuffleLayer::setZeroIsPlaceholder ( bool zeroIsPlaceholder )

pure virtual

Set meaning of 0 in reshape dimensions.

If true, then a 0 in the reshape dimensions denotes copying the corresponding dimension from the first input tensor. If false, then a 0 in the reshape dimensions denotes a zero-length dimension.

Default: true

See also: getZeroIsPlaceholder();

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

NvInfer.h

Public Member Functions

Detailed Description

Member Function Documentation

◆ getFirstTranspose()

◆ getReshapeDimensions()

◆ getSecondTranspose()

◆ getZeroIsPlaceholder()

◆ setFirstTranspose()

◆ setInput()

◆ setReshapeDimensions()

◆ setSecondTranspose()

◆ setZeroIsPlaceholder()