Slices an input tensor into an output tensor based on the offset and strides. More...

#include <NvInfer.h>

Inheritance diagram for nvinfer1::ISliceLayer:

Public Member Functions
virtual void	setStart (Dims start)=0
	Set the start offset that the slice layer uses to create the output slice. More...

virtual Dims	getStart () const =0
	Get the start offset for the slice layer. More...

virtual void	setSize (Dims size)=0
	Set the dimensions of the output slice. More...

virtual Dims	getSize () const =0
	Get dimensions of the output slice. More...

virtual void	setStride (Dims stride)=0
	Set the stride for computing the output slice data. More...

virtual Dims	getStride () const =0
	Get the stride for the output slice. More...

virtual void	setMode (SliceMode mode)=0
	Set the slice mode. More...

virtual SliceMode	getMode () const =0
	Get the slice mode. More...

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

Slices an input tensor into an output tensor based on the offset and strides.

The slice layer has two variants, static and dynamic. Static slice specifies the start, size, and stride dimensions at layer creation time via Dims and can use the get/set accessor functions of the ISliceLayer. Dynamic slice specifies one or more of start, size or stride as ITensors, by using ILayer::setTensor to add a second, third, or fourth input respectively. The corresponding Dims are used if an input is missing or null.

An application can determine if the ISliceLayer has a dynamic output shape based on whether the size input (third input) is present and non-null.

The slice layer selects for each dimension a start location from within the input tensor, and copies elements to the output tensor using the specified stride across the input tensor. Start, size, and stride tensors must be 1D Int32 shape tensors if not specified via Dims.

Furthermore, if the slice layer must produce a shape tensor, then start, size, and stride must be build time constants, i.e. as static Dims, or be computable by constant folding.

For example using slice on a tensor: input = {{0, 2, 4}, {1, 3, 5}} start = {1, 0} size = {1, 2} stride = {1, 2} output = {{1, 5}}

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

Member Function Documentation

◆ getMode()

virtual SliceMode nvinfer1::ISliceLayer::getMode ( ) const

pure virtual

Get the slice mode.

See also: setMode()

◆ getSize()

virtual Dims nvinfer1::ISliceLayer::getSize ( ) const

pure virtual

Get dimensions of the output slice.

Returns: The output dimension, or an invalid Dims structure.

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

See also: setSize

◆ getStart()

virtual Dims nvinfer1::ISliceLayer::getStart ( ) const

pure virtual

Get the start offset for the slice layer.

Returns: The start offset, or an invalid Dims structure.

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

See also: setStart

◆ getStride()

virtual Dims nvinfer1::ISliceLayer::getStride ( ) const

pure virtual

Get the stride for the output slice.

Returns: The slicing stride, or an invalid Dims structure.

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

See also: setStride

◆ setInput()

void nvinfer1::ISliceLayer::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

For a slice layer, the values 0-3 are valid. The values 1-3 override start, size or stride dimensions, respectively. Conversely, this input tensor can be overridden via appropriate set call. The indices are as follows:

0: Data or Shape tensor to be sliced.
1: The start tensor to begin slicing, as a 1D Int32 shape tensor.
2: The size tensor of the resulting slice, as a 1D Int32 shape tensor.
3: The stride of the slicing operation, as a 1D Int32 shape tensor.

If this function is called with a value greater than 0, then the function getNbInputs() changes from returning 1 to index + 1.

Implements nvinfer1::ILayer.

◆ setMode()

virtual void nvinfer1::ISliceLayer::setMode ( SliceMode mode )

pure virtual

Set the slice mode.

See also: getMode()

◆ setSize()

virtual void nvinfer1::ISliceLayer::setSize ( Dims size )

pure virtual

Set the dimensions of the output slice.

Parameters

size	The dimensions of the output slice.

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

See also: getSize

◆ setStart()

virtual void nvinfer1::ISliceLayer::setStart ( Dims start )

pure virtual

Set the start offset that the slice layer uses to create the output slice.

Parameters

start The start offset to read data from the input tensor.

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

See also: getStart

◆ setStride()

virtual void nvinfer1::ISliceLayer::setStride ( Dims stride )

pure virtual

Set the stride for computing the output slice data.

Parameters

stride The dimensions of the stride to compute the values to store in the output slice.

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

See also: getStride

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

NvInfer.h

Public Member Functions

Detailed Description

Member Function Documentation

◆ getMode()

◆ getSize()

◆ getStart()

◆ getStride()

◆ setInput()

◆ setMode()

◆ setSize()

◆ setStart()

◆ setStride()