TensorRT
5.1.3.4
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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... | |
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 | setInput (int index, ITensor &tensor)=0 |
replace an input of this layer with a specific tensor 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.
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pure virtual |
Get the permutation applied by the first transpose operation.
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pure virtual |
Get the reshaped dimensions.
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pure virtual |
Get the permutation applied by the second transpose operation.
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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.
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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.
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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].