TensorRT  6.0.1.5
nvinfer1::IShuffleLayer Class Referenceabstract

Layer type for shuffling data. More...

#include <NvInfer.h>

Inheritance diagram for nvinfer1::IShuffleLayer:
nvinfer1::ILayer

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 (int index, ITensor &tensor) _TENSORRT_OVERRIDE=0
 Relaxes ILayer::setInput to allow appending a second input. 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...
 
- 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 int getNbInputs () const =0
 Get the number of inputs of a layer.
 
virtual ITensorgetInput (int index) const =0
 Get the layer input corresponding to the given index. More...
 
virtual int getNbOutputs () const =0
 Get the number of outputs of a layer.
 
virtual ITensorgetOutput (int 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 (int index, DataType dataType)=0
 Set the output type of this layer. More...
 
virtual DataType getOutputType (int index) const =0
 get the output type of this layer More...
 
virtual bool outputTypeIsSet (int index) const =0
 whether the output type has been set for this layer More...
 
virtual void resetOutputType (int 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 there is a second input, 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

◆ setFirstTranspose()

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

Set the permutation applied by the first transpose operation.

Parameters
permutationThe dimension permutation applied before the reshape.

The default is the identity permutation.

See also
getFirstTranspose

◆ setInput()

void nvinfer1::IShuffleLayer::setInput ( int  index,
ITensor tensor 
)
pure virtual

Relaxes ILayer::setInput to allow appending a second input.

Like ILayer::setInput, but additionally works if index==1, nbInputs()==1, and there is no implicit batch dimension, in which case nbInputs() changes to 2.

When there is a 2nd input, the reshapeDimensions are taken from it, overriding the dimensions supplied by setReshapeDimensions.

Implements nvinfer1::ILayer.

◆ setReshapeDimensions()

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

Set the reshaped dimensions.

Parameters
dimensionsThe 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 there is a second input, i.e. reshape dimensions are dynamic, calling setReshapeDimensions() is an error and does not update the dimensions.

◆ setSecondTranspose()

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

Set the permutation applied by the second transpose operation.

Parameters
permutationThe 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

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