| ►Nnvcaffeparser1 | The TensorRT Caffe parser API namespace |
| CIBinaryProtoBlob | Object used to store and query data extracted from a binaryproto file using the ICaffeParser |
| CIBlobNameToTensor | Object used to store and query Tensors after they have been extracted from a Caffe model using the ICaffeParser |
| CICaffeParser | Class used for parsing Caffe models |
| CIPluginFactoryV2 | Plugin factory used to configure plugins |
| ►Nnvinfer1 | The TensorRT API version 1 namespace |
| Nanonymous_namespace{NvInfer.h} | |
| Nanonymous_namespace{NvInferRuntime.h} | |
| ►Napiv | |
| CVConsistencyChecker | |
| ►Nconsistency | |
| Nanonymous_namespace{NvInferConsistency.h} | Create an instance of an IConsistencyChecker class |
| CIConsistencyChecker | Validates a serialized engine blob |
| CIPluginChecker | Consistency Checker plugin class for user implemented Plugins |
| ►Nimpl | |
| CEnumMaxImpl | Declaration of EnumMaxImpl struct to store maximum number of elements in an enumeration type |
| CEnumMaxImpl< ActivationType > | Maximum number of elements in ActivationType enum |
| CEnumMaxImpl< AllocatorFlag > | Maximum number of elements in AllocatorFlag enum |
| CEnumMaxImpl< DataType > | Maximum number of elements in DataType enum |
| CEnumMaxImpl< ElementWiseOperation > | Maximum number of elements in ElementWiseOperation enum |
| CEnumMaxImpl< EngineCapability > | Maximum number of elements in EngineCapability enum |
| CEnumMaxImpl< ErrorCode > | Maximum number of elements in ErrorCode enum |
| CEnumMaxImpl< ILogger::Severity > | Maximum number of elements in ILogger::Severity enum |
| CEnumMaxImpl< PaddingMode > | Maximum number of elements in PaddingMode enum |
| CEnumMaxImpl< PoolingType > | Maximum number of elements in PoolingType enum |
| CEnumMaxImpl< ResizeCoordinateTransformation > | Maximum number of elements in ResizeCoordinateTransformation enum |
| CEnumMaxImpl< ResizeMode > | Maximum number of elements in ResizeMode enum |
| CEnumMaxImpl< ResizeRoundMode > | Maximum number of elements in ResizeRoundMode enum |
| CEnumMaxImpl< ResizeSelector > | Maximum number of elements in ResizeSelector enum |
| CEnumMaxImpl< TensorFormat > | Maximum number of elements in TensorFormat enum |
| CEnumMaxImpl< TensorLocation > | Maximum number of elements in TensorLocation enum |
| ►Nplugin | |
| CDetectionOutputParameters | The DetectionOutput plugin layer generates the detection output based on location and confidence predictions by doing non maximum suppression. This plugin first decodes the bounding boxes based on the anchors generated. It then performs non_max_suppression on the decoded bounding boxes. DetectionOutputParameters defines a set of parameters for creating the DetectionOutput plugin layer. It contains: |
| CGridAnchorParameters | The Anchor Generator plugin layer generates the prior boxes of designated sizes and aspect ratios across all dimensions (H x W). GridAnchorParameters defines a set of parameters for creating the plugin layer for all feature maps. It contains: |
| CNMSParameters | The NMSParameters are used by the BatchedNMSPlugin for performing the non_max_suppression operation over boxes for object detection networks |
| CPriorBoxParameters | The PriorBox plugin layer generates the prior boxes of designated sizes and aspect ratios across all dimensions (H x W). PriorBoxParameters defines a set of parameters for creating the PriorBox plugin layer. It contains: |
| CQuadruple | 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 |
| CRegionParameters | 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 9418 pre-defined classifications, and these 9418 items are organized as work-tree structure). RegionParameters defines a set of parameters for creating the Region plugin layer |
| CRPROIParams | RPROIParams is used to create the RPROIPlugin instance. It contains: |
| CsoftmaxTree | When performing yolo9000, softmaxTree is helping to do softmax on confidence scores, for element to get the precise classification through word-tree structured classification definition |
| Nutils | |
| CDims2 | Descriptor for two-dimensional data |
| CDims3 | Descriptor for three-dimensional data |
| CDims32 | |
| CDims4 | Descriptor for four-dimensional data |
| CDimsExprs | |
| CDimsHW | Descriptor for two-dimensional spatial data |
| CDynamicPluginTensorDesc | |
| CIActivationLayer | An Activation layer in a network definition |
| CIAlgorithm | Describes a variation of execution of a layer. An algorithm is represented by IAlgorithmVariant and the IAlgorithmIOInfo for each of its inputs and outputs. An algorithm can be selected or reproduced using AlgorithmSelector::selectAlgorithms()." |
| CIAlgorithmContext | Describes the context and requirements, that could be fulfilled by one or more instances of IAlgorithm |
| CIAlgorithmIOInfo | Carries information about input or output of the algorithm. IAlgorithmIOInfo for all the input and output along with IAlgorithmVariant denotes the variation of algorithm and can be used to select or reproduce an algorithm using IAlgorithmSelector::selectAlgorithms() |
| CIAlgorithmSelector | Interface implemented by application for selecting and reporting algorithms of a layer provided by the builder |
| CIAlgorithmVariant | Unique 128-bit identifier, which along with the input and output information denotes the variation of algorithm and can be used to select or reproduce an algorithm, using IAlgorithmSelector::selectAlgorithms() |
| CIAssertionLayer | An assertion layer in a network |
| CIBuilder | Builds an engine from a network definition |
| CIBuilderConfig | Holds properties for configuring a builder to produce an engine |
| CIConcatenationLayer | A concatenation layer in a network definition |
| CIConditionLayer | |
| CIConstantLayer | Layer that represents a constant value |
| CIConvolutionLayer | A convolution layer in a network definition |
| CICudaEngine | An engine for executing inference on a built network, with functionally unsafe features |
| CIDeconvolutionLayer | A deconvolution layer in a network definition |
| CIDequantizeLayer | A Dequantize layer in a network definition |
| CIDimensionExpr | |
| CIEinsumLayer | An Einsum layer in a network |
| CIElementWiseLayer | A elementwise layer in a network definition |
| CIEngineInspector | An engine inspector which prints out the layer information of an engine or an execution context |
| CIErrorRecorder | Reference counted application-implemented error reporting interface for TensorRT objects |
| CIExecutionContext | Context for executing inference using an engine, with functionally unsafe features |
| CIExprBuilder | |
| CIFillLayer | Generate an output tensor with specified mode |
| CIFullyConnectedLayer | 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: |
| CIGatherLayer | A Gather layer in a network definition. Supports several kinds of gathering |
| CIGpuAllocator | Application-implemented class for controlling allocation on the GPU |
| CIHostMemory | Class to handle library allocated memory that is accessible to the user |
| CIIdentityLayer | A layer that represents the identity function |
| CIIfConditional | |
| CIIfConditionalBoundaryLayer | |
| CIIfConditionalInputLayer | |
| CIIfConditionalOutputLayer | |
| CIInt8Calibrator | Application-implemented interface for calibration |
| CIInt8EntropyCalibrator | |
| CIInt8EntropyCalibrator2 | |
| CIInt8LegacyCalibrator | |
| CIInt8MinMaxCalibrator | |
| CIIteratorLayer | |
| CILayer | Base class for all layer classes in a network definition |
| CILogger | Application-implemented logging interface for the builder, refitter and runtime |
| CILoop | |
| CILoopBoundaryLayer | |
| CILoopOutputLayer | |
| CILRNLayer | A LRN layer in a network definition |
| CIMatrixMultiplyLayer | Layer that represents a Matrix Multiplication |
| CINetworkDefinition | A network definition for input to the builder |
| CINoCopy | Forward declaration of IEngineInspector for use by other interfaces |
| CIOptimizationProfile | Optimization profile for dynamic input dimensions and shape tensors |
| CIPaddingLayer | Layer that represents a padding operation |
| CIParametricReLULayer | Layer that represents a parametric ReLU operation |
| CIPluginCreator | Plugin creator class for user implemented layers |
| CIPluginRegistry | Single registration point for all plugins in an application. It is used to find plugin implementations during engine deserialization. Internally, the plugin registry is considered to be a singleton so all plugins in an application are part of the same global registry. Note that the plugin registry is only supported for plugins of type IPluginV2 and should also have a corresponding IPluginCreator implementation |
| CIPluginV2 | Plugin class for user-implemented layers |
| CIPluginV2DynamicExt | |
| CIPluginV2Ext | Plugin class for user-implemented layers |
| CIPluginV2IOExt | Plugin class for user-implemented layers |
| CIPluginV2Layer | Layer type for pluginV2 |
| CIPoolingLayer | A Pooling layer in a network definition |
| CIProfiler | Application-implemented interface for profiling |
| CIQuantizeLayer | A Quantize layer in a network definition |
| CIRaggedSoftMaxLayer | A RaggedSoftmax layer in a network definition |
| CIRecurrenceLayer | |
| CIReduceLayer | Layer that represents a reduction operator across Shape, Int32, Float, Half, and Int8 tensors |
| CIRefitter | Updates weights in an engine |
| CIResizeLayer | A resize layer in a network definition |
| CIRNNv2Layer | An RNN layer in a network definition, version 2 |
| CIRuntime | Allows a serialized functionally unsafe engine to be deserialized |
| CIScaleLayer | A Scale layer in a network definition |
| CIScatterLayer | A scatter layer in a network definition. Supports several kinds of scattering |
| CISelectLayer | |
| CIShapeLayer | Layer type for getting shape of a tensor |
| CIShuffleLayer | Layer type for shuffling data |
| CISliceLayer | Slices an input tensor into an output tensor based on the offset and strides |
| CISoftMaxLayer | A Softmax layer in a network definition |
| CITensor | A tensor in a network definition |
| CITimingCache | Class to handle tactic timing info collected from builder |
| CITopKLayer | Layer that represents a TopK reduction |
| CITripLimitLayer | |
| CIUnaryLayer | Layer that represents an unary operation |
| CPermutation | |
| CPluginField | Structure containing plugin attribute field names and associated data This information can be parsed to decode necessary plugin metadata |
| CPluginFieldCollection | Plugin field collection struct |
| CPluginRegistrar | Register the plugin creator to the registry The static registry object will be instantiated when the plugin library is loaded. This static object will register all creators available in the library to the registry |
| CPluginTensorDesc | Fields that a plugin might see for an input or output |
| CWeights | An array of weights used as a layer parameter |
| ►Nnvonnxparser | The TensorRT ONNX parser API namespace |
| Nanonymous_namespace{NvOnnxParser.h} | |
| CIOnnxConfig | Configuration Manager Class |
| CIParser | Object for parsing ONNX models into a TensorRT network definition |
| CIParserError | Object containing information about an error |
| ►Nnvuffparser | The TensorRT UFF parser API namespace |
| CFieldCollection | |
| CFieldMap | An array of field params used as a layer parameter for plugin layers |
| CIUffParser | Class used for parsing models described using the UFF format |
1.9.2