Namespace List

Here is a list of all namespaces with brief descriptions:

[detail level 123]

▼Nnvinfer1	The TensorRT API version 1 namespace
Nanonymous_namespace{NvInfer.h}
Nanonymous_namespace{NvInferRuntime.h}
▼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 >
CEnumMaxImpl< AllocatorFlag >	Maximum number of elements in AllocatorFlag enum
CEnumMaxImpl< APILanguage >	Maximum number of elements in APILanguage enum
CEnumMaxImpl< DataType >	Maximum number of elements in DataType enum
CEnumMaxImpl< ElementWiseOperation >
CEnumMaxImpl< EngineCapability >	Maximum number of elements in EngineCapability enum
CEnumMaxImpl< ErrorCode >	Maximum number of elements in ErrorCode enum
CEnumMaxImpl< HardwareCompatibilityLevel >
CEnumMaxImpl< ILogger::Severity >	Maximum number of elements in ILogger::Severity enum
CEnumMaxImpl< InterpolationMode >
CEnumMaxImpl< PaddingMode >
CEnumMaxImpl< PoolingType >
CEnumMaxImpl< PreviewFeature >
CEnumMaxImpl< ResizeCoordinateTransformation >
CEnumMaxImpl< ResizeRoundMode >
CEnumMaxImpl< ResizeSelector >
CEnumMaxImpl< TensorFormat >	Maximum number of elements in TensorFormat enum
CEnumMaxImpl< TensorIOMode >	Maximum number of elements in TensorIOMode 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
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
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)
CRegionParameters	The Region plugin layer performs region proposal calculation
CRPROIParams	RPROIParams is used to create the RPROIPlugin instance
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
▼Nsafe	The safety subset of TensorRT's API version 1 namespace
CICudaEngine	A functionally safe engine for executing inference on a built network
CIExecutionContext	Functionally safe context for executing inference using an engine
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 must also have a corresponding IPluginCreator implementation
CIRuntime	Allows a serialized functionally safe engine to be deserialized
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
CRuntimeErrorInformation	Space to record information about runtime errors
▼Nv_1_0	Forward declare IErrorRecorder for use in other interfaces
CIAlgorithmSelector
CIDebugListener
CIErrorRecorder
CIGpuAllocator
CIGpuAsyncAllocator
CIInt8EntropyCalibrator
CIInt8EntropyCalibrator2
CIInt8LegacyCalibrator
CIInt8MinMaxCalibrator
CIOutputAllocator
CIPluginCapability
CIPluginCreator
CIPluginCreatorInterface
CIPluginCreatorV3One
CIPluginResource
CIPluginV3
CIPluginV3OneBuild
CIPluginV3OneCore
CIPluginV3OneRuntime
CIProfiler
CIProgressMonitor
CIStreamReader
CDims2	Descriptor for two-dimensional data
CDims3	Descriptor for three-dimensional data
CDims4	Descriptor for four-dimensional data
CDims64
CDimsExprs	Analog of class Dims with expressions instead of constants for the dimensions
CDimsHW	Descriptor for two-dimensional spatial data
CDynamicPluginTensorDesc	Summarizes tensors that a plugin might see for an input or output
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()
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
CICastLayer	A cast layer in a network
CIConcatenationLayer	A concatenation layer in a network definition
CIConditionLayer	This layer represents a condition input to an IIfConditional
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	An IDimensionExpr represents an integer expression constructed from constants, input dimensions, and binary operations. These expressions are can be used in overrides of IPluginV2DynamicExt::getOutputDimensions or IPluginV3OneBuild::getOutputShapes() to define output dimensions in terms of input dimensions
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
CIExecutionContext	Context for executing inference using an engine, with functionally unsafe features
CIExprBuilder	Object for constructing IDimensionExpr
CIFillLayer	Generate a tensor according to a specified mode
CIGatherLayer	A Gather layer in a network definition. Supports several kinds of gathering
CIGridSampleLayer	A GridSample layer in a network definition
CIHostMemory	Class to handle library allocated memory that is accessible to the user
CIIdentityLayer	A layer that represents the identity function
CIIfConditional	Helper for constructing conditionally-executed subgraphs
CIIfConditionalBoundaryLayer	This is a base class for Conditional boundary layers
CIIfConditionalInputLayer	This layer represents an input to an IIfConditional
CIIfConditionalOutputLayer	This layer represents an output of an IIfConditional
CIInt8Calibrator	Application-implemented interface for calibration
CIIteratorLayer	A layer to do iterations
CILayer	Base class for all layer classes in a network definition
CILogger	Application-implemented logging interface for the builder, refitter and runtime
CILoggerFinder	A virtual base class to find a logger. Allows a plugin to find an instance of a logger if it needs to emit a log message. A pointer to an instance of this class is passed to a plugin shared library on initialization when that plugin is serialized as part of a version-compatible plan. See the plugin chapter in the developer guide for details
CILoop	Helper for creating a recurrent subgraph
CILoopBoundaryLayer	This is a base class for Loop boundary layers
CILoopOutputLayer	An ILoopOutputLayer is the sole way to get output from a loop
CILRNLayer	A LRN layer in a network definition
CIMatrixMultiplyLayer	Layer that represents a Matrix Multiplication
CINetworkDefinition	A network definition for input to the builder
CINMSLayer	A non-maximum suppression layer in a network definition
CINoCopy	Forward declaration of IEngineInspector for use by other interfaces
CINonZeroLayer
CINormalizationLayer	A normalization layer in a network definition
CInterfaceInfo	Version information associated with a TRT interface
CIOneHotLayer	A OneHot layer in a network definition
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
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
CIPluginResourceContext	Interface for plugins to access per context resources provided by TensorRT
CIPluginV2	Plugin class for user-implemented layers
CIPluginV2DynamicExt	Similar to IPluginV2Ext, but with support for dynamic shapes
CIPluginV2Ext	Plugin class for user-implemented layers
CIPluginV2IOExt	Plugin class for user-implemented layers
CIPluginV2Layer	Layer type for pluginV2
CIPluginV3Layer	Layer type for V3 plugins
CIPoolingLayer	A Pooling layer in a network definition
CIQuantizeLayer	A Quantize layer in a network definition
CIRaggedSoftMaxLayer	A RaggedSoftmax layer in a network definition
CIRecurrenceLayer	A recurrence layer in a network definition
CIReduceLayer	Layer that represents a reduction across a non-bool tensor
CIRefitter	Updates weights in an engine
CIResizeLayer	A resize layer in a network definition
CIReverseSequenceLayer	A ReverseSequence layer in a network definition
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	A select layer in a network definition
CISerializationConfig	Holds properties for configuring an engine to serialize the binary
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	A layer that represents a trip-count limiter
CIUnaryLayer	Layer that represents an unary operation
CIVersionedInterface	An Interface class for version control
CPermutation	Represents a permutation of dimensions
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
CIParserRefitter	An interface designed to refit weights from an ONNX model