Class Hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 123]

nvinfer1::plugin::DetectionOutputParameters	The DetectionOutput plugin layer generates the detection output based on location and confidence predictions by doing non maximum suppression. DetectionOutputParameters defines a set of parameters for creating the DetectionOutput plugin layer. It contains:
nvinfer1::Dims	Structure to define the dimensions of a tensor
nvinfer1::Dims2	Descriptor for two-dimensional data
nvinfer1::DimsHW	Descriptor for two-dimensional spatial data
nvinfer1::Dims3	Descriptor for three-dimensional data
nvinfer1::DimsCHW	Descriptor for data with one channel dimension and two spatial dimensions
nvinfer1::Dims4	Descriptor for four-dimensional data
nvinfer1::DimsNCHW	Descriptor for data with one index dimension, one channel dimension and two spatial dimensions
nvuffparser::FieldCollection
nvuffparser::FieldMap	An array of field params used as a layer parameter for plugin layers
nvinfer1::plugin::GridAnchorParameters	The Anchor Generator plugin layer generates the prior boxes of designated sizes and aspect ratios across all dimensions . GridAnchorParameters defines a set of parameters for creating the plugin layer for all feature maps. It contains:
nvcaffeparser1::IBinaryProtoBlob	Object used to store and query data extracted from a binaryproto file using the ICaffeParser
nvcaffeparser1::IBlobNameToTensor	Object used to store and query Tensors after they have been extracted from a Caffe model using the ICaffeParser
nvinfer1::IBuilder	Builds an engine from a network definition
nvcaffeparser1::ICaffeParser	Class used for parsing Caffe models
nvinfer1::ICudaEngine	An engine for executing inference on a built network
nvinfer1::IExecutionContext	Context for executing inference using an engine
nvinfer1::IGpuAllocator	Application-implemented class for controlling allocation on the GPU
nvinfer1::IHostMemory	Class to handle library allocated memory that is accessible to the user
nvinfer1::IInt8Calibrator	Application-implemented interface for calibration
nvinfer1::IInt8EntropyCalibrator
nvinfer1::IInt8LegacyCalibrator
nvinfer1::ILayer	Base class for all layer classes in a network definition
nvinfer1::IActivationLayer	An Activation layer in a network definition
nvinfer1::IConcatenationLayer	A concatenation layer in a network definition
nvinfer1::IConstantLayer	Layer that represents a constant value
nvinfer1::IConvolutionLayer	A convolution layer in a network definition
nvinfer1::IDeconvolutionLayer	A deconvolution layer in a network definition
nvinfer1::IElementWiseLayer	A elementwise layer in a network definition
nvinfer1::IFullyConnectedLayer	A fully connected layer in a network definition. This layer expects an input tensor of three or more non-batch dimensions. The input is automatically reshaped into an MxV tensor X, where V is a product of the last three dimensions and M is a product of the remaining dimensions (where the product over 0 dimensions is defined as 1). For example:
nvinfer1::IGatherLayer
nvinfer1::ILRNLayer	A LRN layer in a network definition
nvinfer1::IMatrixMultiplyLayer	Layer that represents a Matrix Multiplication
nvinfer1::IPaddingLayer	Layer that represents a padding operation
nvinfer1::IPluginLayer	Layer type for plugins
nvinfer1::IPoolingLayer	A Pooling layer in a network definition
nvinfer1::IRaggedSoftMaxLayer	A RaggedSoftmax layer in a network definition
nvinfer1::IReduceLayer	Layer that represents a reduction operator
nvinfer1::IRNNLayer	A RNN layer in a network definition
nvinfer1::IRNNv2Layer	An RNN layer in a network definition, version 2
nvinfer1::IScaleLayer	A Scale layer in a network definition
nvinfer1::IShuffleLayer	Layer type for shuffling data
nvinfer1::ISoftMaxLayer	A Softmax layer in a network definition
nvinfer1::ITopKLayer	Layer that represents a TopK reduction
nvinfer1::IUnaryLayer	Layer that represents an unary operation
nvinfer1::ILogger	Application-implemented logging interface for the builder, engine and runtime
nvinfer1::INetworkDefinition	A network definition for input to the builder
nvonnxparser::IOnnxConfig	Configuration Manager Class
nvonnxparser::IONNXParser	ONNX Parser Class
nvinfer1::IOutputDimensionsFormula	Application-implemented interface to compute layer output sizes
nvinfer1::IPlugin	Plugin class for user-implemented layers
nvinfer1::IPluginExt	Plugin class for user-implemented layers
nvinfer1::plugin::INvPlugin	Common interface for the Nvidia created plugins
nvuffparser::IPluginFactory	Plugin factory used to configure plugins
nvuffparser::IPluginFactoryExt	Plugin factory used to configure plugins with added support for TRT versioning
nvcaffeparser1::IPluginFactory	Plugin factory used to configure plugins
nvcaffeparser1::IPluginFactoryExt	Plugin factory used to configure plugins with added support for TRT versioning
nvinfer1::IPluginFactory	Plugin factory for deserialization
nvinfer1::IProfiler	Application-implemented interface for profiling
nvinfer1::IRuntime	Allows a serialized engine to be deserialized
nvinfer1::ITensor	A tensor in a network definition
nvuffparser::IUffParser	Class used for parsing models described using the UFF format
nvinfer1::Permutation
nvinfer1::plugin::PriorBoxParameters	The PriorBox plugin layer generates the prior boxes of designated sizes and aspect ratios across all dimensions . PriorBoxParameters defines a set of parameters for creating the PriorBox plugin layer. It contains:
nvinfer1::plugin::Quadruple	The Permute plugin layer permutes the input tensor by changing the memory order of the data. Quadruple defines a structure that contains an array of 4 integers. They can represent the permute orders or the strides in each dimension
nvinfer1::plugin::RegionParameters
nvinfer1::plugin::softmaxTree	The Region plugin layer performs region proposal calculation: generate 5 bounding boxes per cell (for yolo9000, generate 3 bounding boxes per cell). For each box, calculating its probablities of objects detections from 80 pre-defined classifications (yolo9000 has 9416 pre-defined classifications, and these 9416 items are organized as work-tree structure). RegionParameters defines a set of parameters for creating the Region plugin layer
nvinfer1::Weights	An array of weights used as a layer parameter