5/7/2023 0 Comments Doxygen enum example![]() 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()īuilds an engine from a network definition Interface implemented by application for selecting and reporting algorithms of a layer provided by the builder 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() An algorithm can be selected or reproduced using AlgorithmSelector::selectAlgorithms()."ĭescribes the context and requirements, that could be fulfilled by one or more instances of IAlgorithmĬarries information about input or output of the algorithm. ![]() An algorithm is represented by IAlgorithmVariant and the IAlgorithmIOInfo for each of its inputs and outputs. This static object will register all creators available in the library to the registryĭescriptor for two-dimensional spatial dataĪn Activation layer in a network definitionĭescribes a variation of execution of a layer. Register the plugin creator to the registry The static registry object will be instantiated when the plugin library is loaded. Note that the plugin registry is only supported for plugins of type IPluginV2 and should also have a corresponding IPluginCreator implementationĪllows a serialized functionally safe engine to be deserialized Internally, the plugin registry is considered to be a singleton so all plugins in an application are part of the same global registry. It is used to find plugin implementations during engine deserialization. Single registration point for all plugins in an application. Space to record information about floating point runtime errorsĪ functionally safe engine for executing inference on a built networkįunctionally safe context for executing inference using an engine The safety subset of TensorRT's API version 1 namespace 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 RPROIParams is used to create the RPROIPlugin instance. RegionParameters defines a set of parameters for creating the Region plugin layer For each box, calculating its probablities of objects detections from 80 pre-defined classifications (yolo90 pre-defined classifications, and these 9418 items are organized as work-tree structure). The Region plugin layer performs region proposal calculation: generate 5 bounding boxes per cell (for yolo9000, generate 3 bounding boxes per cell). They can represent the permute orders or the strides in each dimension Quadruple defines a structure that contains an array of 4 integers. The Permute plugin layer permutes the input tensor by changing the memory order of the data. PriorBoxParameters defines a set of parameters for creating the PriorBox plugin layer. The PriorBox plugin layer generates the prior boxes of designated sizes and aspect ratios across all dimensions (H x W). The NMSParameters are used by the BatchedNMSPlugin for performing the non_max_suppression operation over boxes for object detection networks GridAnchorParameters defines a set of parameters for creating the plugin layer for all feature maps. The Anchor Generator plugin layer generates the prior boxes of designated sizes and aspect ratios across all dimensions (H x W). DetectionOutputParameters defines a set of parameters for creating the DetectionOutput plugin layer. It then performs non_max_suppression on the decoded bounding boxes. This plugin first decodes the bounding boxes based on the anchors generated. The DetectionOutput plugin layer generates the detection output based on location and confidence predictions by doing non maximum suppression. Maximum number of elements in TensorLocation enum Maximum number of elements in TensorIOMode enum Maximum number of elements in TensorFormat enum ![]() Maximum number of elements in ILogger::Severity enum Maximum number of elements in ErrorCode enum ![]() Maximum number of elements in EngineCapability enum Maximum number of elements in DataType enum Maximum number of elements in AllocatorFlag enum Object used to store and query Tensors after they have been extracted from a Caffe model using the ICaffeParserĬonsistency Checker plugin class for user implemented Pluginsĭeclaration of EnumMaxImpl struct to store maximum number of elements in an enumeration type Object used to store and query data extracted from a binaryproto file using the ICaffeParser ![]()
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