TensorRT
6.0.1.5

Layer type for shuffling data. More...
#include <NvInfer.h>
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 ITensor *  getInput (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 ITensor *  getOutput (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...  
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.

pure virtual 
Get the permutation applied by the first transpose operation.

pure virtual 
Get the reshaped dimensions.
If there is a second input, returns Dims with nbDims == 1.

pure virtual 
Get the permutation applied by the second transpose operation.

pure virtual 
Set the permutation applied by the first transpose operation.
permutation  The dimension permutation applied before the reshape. 
The default is the identity permutation.

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.

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

pure virtual 
Set the permutation applied by the second transpose operation.
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].