qq_34929889的博客

tensorrt5.1.5 sampleplugin阅读官方给出的自定义接口的流程为Defining the network，Enabling custom layers in NvCaffeParser，Building the engine，Serializing and deserializing，Resource management and execution。Defining th...

tensorrt学习二创建序列化模型文件反序列化模型初始化引擎数据预处理inference创建序列化模型文件BuildEngine(nvinfer1::IBuilder* builder, nvinfer1::INetworkDefinition* network, const std::vector<std::vector<float>>& calibratorData,

PluginFactory私有成员PluginFactory(TrtPluginParams params)virtual ~PluginFactory() {}virtual bool isPluginV2(const char* layerName) override;virtual IPluginV2* createPlugin(const char* layerName, const Weights* weights, int nbWeights, const char* libNamespace=

ckpt pb onnx trtckptpbonnxtrtbug思考ckpt这应该是ckpt转换成自己网络名称的操作import argparseimport tensorflow as tffrom core.yolov3 import YOLOV3from core.config import cfgparser = argparse.ArgumentParser()parser.add_argument("--train_from_coco", action='store_true'

tensorrt IPluginCreator实现私有成员函数PReLUPluginCreator()virtual const char* getPluginName() const overridevirtual const char* getPluginVersion() const overridevirtual const nvinfer1::PluginFieldCollection* getFieldNames() overridevirtual nvinfer1::IPluginV2* c

tensorrt 自定义层详解公用函数宏定义宏函数核相关定义class PReLUPlugin详解私有成员PReLUPlugin(const nvinfer1::Weights* weights, int nbWeight);PReLUPlugin::PReLUPlugin(const void *data, size_t length)virtual size_t getSerializationSize() const overridevirtual void serialize(void* buffe

cu文件的编写.h文件的编写.h文件的编写#ifndef TINYTRT_DECODE_H#define TINYTRT_DECODE_H#include "Trt.h"#include "utils.h"#include "YoloLayerPlugin/YoloLayerPlugin.hpp"using namespace std;struct Bbox { int left, right, top, bottom; int clsId; float score;