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TensorRT 10.12.0
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Layer that represents a cumulative operation across a tensor. More...
#include <NvInfer.h>
Public Member Functions | |
| bool | setOperation (CumulativeOperation op) noexcept |
| Set the cumulative operation for the layer. More... | |
| CumulativeOperation | getOperation () const noexcept |
| Get the cumulative operation for the layer. More... | |
| void | setExclusive (bool exclusive) noexcept |
| Set whether it is an exclusive accumulation or inclusive accumulation. More... | |
| bool | getExclusive () const noexcept |
| Get whether it is exclusive accumulation or inclusive accumulation. More... | |
| void | setReverse (bool reverse) noexcept |
| Specify whether the cumulative operation should be applied backward. More... | |
| bool | getReverse () const noexcept |
| Get the boolean that specifies whether the cumulative operation should be applied backward. More... | |
Public Member Functions inherited from nvinfer1::ILayer | |
| LayerType | getType () const noexcept |
| Return the type of a layer. More... | |
| void | setName (char const *name) noexcept |
| Set the name of a layer. More... | |
| char const * | getName () const noexcept |
| Return the name of a layer. More... | |
| int32_t | getNbInputs () const noexcept |
| Get the number of inputs of a layer. More... | |
| ITensor * | getInput (int32_t index) const noexcept |
| Get the layer input corresponding to the given index. More... | |
| int32_t | getNbOutputs () const noexcept |
| Get the number of outputs of a layer. More... | |
| ITensor * | getOutput (int32_t index) const noexcept |
| Get the layer output corresponding to the given index. More... | |
| void | setInput (int32_t index, ITensor &tensor) noexcept |
| Replace an input of this layer with a specific tensor. More... | |
| TRT_DEPRECATED void | setPrecision (DataType dataType) noexcept |
| Set the preferred or required computational precision of this layer in a weakly-typed network. More... | |
| DataType | getPrecision () const noexcept |
| get the computational precision of this layer More... | |
| TRT_DEPRECATED bool | precisionIsSet () const noexcept |
| whether the computational precision has been set for this layer More... | |
| TRT_DEPRECATED void | resetPrecision () noexcept |
| reset the computational precision for this layer More... | |
| TRT_DEPRECATED void | setOutputType (int32_t index, DataType dataType) noexcept |
| Set the output type of this layer in a weakly-typed network. More... | |
| DataType | getOutputType (int32_t index) const noexcept |
| get the output type of this layer More... | |
| TRT_DEPRECATED bool | outputTypeIsSet (int32_t index) const noexcept |
| whether the output type has been set for this layer More... | |
| TRT_DEPRECATED void | resetOutputType (int32_t index) noexcept |
| reset the output type for this layer More... | |
| void | setMetadata (char const *metadata) noexcept |
| Set the metadata for this layer. More... | |
| char const * | getMetadata () const noexcept |
| Get the metadata of the layer. More... | |
Protected Member Functions | |
| virtual | ~ICumulativeLayer () noexcept=default |
Protected Member Functions inherited from nvinfer1::ILayer | |
| virtual | ~ILayer () noexcept=default |
Protected Member Functions inherited from nvinfer1::INoCopy | |
| INoCopy ()=default | |
| virtual | ~INoCopy ()=default |
| INoCopy (INoCopy const &other)=delete | |
| INoCopy & | operator= (INoCopy const &other)=delete |
| INoCopy (INoCopy &&other)=delete | |
| INoCopy & | operator= (INoCopy &&other)=delete |
Protected Attributes | |
| apiv::VCumulativeLayer * | mImpl |
Protected Attributes inherited from nvinfer1::ILayer | |
| apiv::VLayer * | mLayer |
Layer that represents a cumulative operation across a tensor.
It computes successive reductions across an axis of a tensor. The output always has the same shape as the input.
If the reduction operation is summation, then this is also known as prefix-sum or cumulative sum.
The operation has forward vs. reverse variants, and inclusive vs. exclusive variants.
For example, let the input be a vector x of length n and the output be vector y. Then y[j] = sum(x[...]) where ... denotes a sequence of indices from this table:
| forward | reverse
-------—|--------—| ------— inclusive | 0..j | j..n-1 exclusive | 0..j-1 | j+1..n-1
For multidimensional tensors, the reductions apply across a specified axis. For example, given a 2D input, a forward inclusive cumulative operation across axis 0 generates cumulative sums within each column.
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protectedvirtualdefaultnoexcept |
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inlinenoexcept |
Get whether it is exclusive accumulation or inclusive accumulation.
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inlinenoexcept |
Get the cumulative operation for the layer.
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inlinenoexcept |
Get the boolean that specifies whether the cumulative operation should be applied backward.
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inlinenoexcept |
Set whether it is an exclusive accumulation or inclusive accumulation.
| exclusive | Whether the operation will exclude the element at the current index |
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inlinenoexcept |
Set the cumulative operation for the layer.
| op | The reduction operation to be performed |
op is valid and the operation successfully set
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inlinenoexcept |
Specify whether the cumulative operation should be applied backward.
| reverse | Whether the cumulative will run in the reverse direction from the last element |
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protected |
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