模型INT8转换整理文档

1、模型INT8转换整理文档为评估在GPUT4模型推理性能和资源消耗,需要考虑将模型进行量化后的处理.FP16模型的量化比拟简单,只需要改动API的一些参数即可；INT8的实现比拟复杂,特作此整理,以方便以后重复此操作.2 .环境效劳器：03CPU:48xE5-2650v42.20GHz内存：62GGPUI:TeslaT4显存：15GTensorRT：CUDA10.1GPU驱动版本：418.116.00CUDNN:7.5.0CUBLAS:10.1模型：googlenet3 .实现方法参考文档TensorRT/samples/sampleINT8/R

2、EADME.md说明,卞据非Caffe模型转换方法实现,原文局部如下：Generatingbatchfilesfornon-CaffeusersFordevelopersthatarenotusingCaffe,orcannoteasilyconverttoCaffe,thebatchfilescanbegeneratedviathefollowingsequenceofstepsontheinputtrainingdata.Subtractoutthenormalizedmeanfromthedataset.Cropalloftheinputdatatothesamedimensions.S

3、plitthedataintobatchfileswhereeachbatchfilehasNpreprocessedimagesandlabels.GeneratethebatchfilesbasedontheformatspecifiedinBatchfilesforcalibration.4 .操作步骤4.1. 准备校正集文件CalibrationFile编译命令：g+createCalibrationCache.cpp-lopencv_imgproc-lopencv_core-lopencv_imgcodecs-occc-g执行命令：./ccccachelmgs.calibILSVRC

4、2021_val_00001234.JPEG注：1、这里ccc即测试程序,cacheImgs.calib是保存的校正集文件第三个参数是使用的图片2、可以屡次使用不同的图片,增加校正集中图片的数量,这里只为测试只采用了一张图片4.2. 使用校正集进行模型转换并序列化CudaEngine保存这里使用了TensorRT提供的trtexec样例程序,执行命令：cd/home/reny/downloads/TensorRT-/samples/trtexec./trtexec-deploy=data/googlenet/totxt-output="prob&qu

5、ot;-model=data/googlenet/googlenet.caffemodel-int8-batch=4-saveEngine=googlenet_int8_bs4.engine-calib=CalibratorcreateCache/cacheImgs.calib4.3. 加载CudaEngine文件并反序列化这里采用了TensorRT提供的SampleGoogleNet样例程序主要改动：增加一个加载CudaEngine文件的函数,该函数思路源于trtexec样例代码/addbyreny2021/12/27staticnvinfer1:ICudaEngine*LoadEngine

6、(conststring&sSavedEngineFile)ICudaEngine*engine;std:vector<char>trtModelStream;size_tsize0;std:ifstreamfile(sSavedEngineFile.data(),std:ios:binary);if(file.good()file.seekg(0,file.end);size=file.tellg();file.seekg(0,file.beg);trtModelStream.resize(size);file.read(trtModelStream.data(),siz

7、e);file.close();)IRuntime*infer=createInferRuntime(gLogger.getTRTLogger();/*if(.useDLACore>=0)infer->setDLACore(gParams.useDLACore);)*/engine=infer->deserializeCudaEngine(trtModelStream.data(),size,nullptr);gLogInfo<<sSavedEngineFile<<"hasbeensuccessfullyloaded."<&l

8、t;std:endl;infer->destroy();returnengine;)修改后测试程序路径：/home/reny/downloads/TensorRT-/samples/sampleGoogleNet_ry4.4. 执行正常步骤进行推理cd/home/reny/downloads/TensorRT./bin/sample_googlenet-loadEngine/home/reny/nvidia/googlenet_int8_bs4.engine5 .实现截图goqgiian0t_intB_b!t4.ongino_1/bin/s>jnpls_

9、g'=KigLand.-.lladdlEnginst/haiw/rony/mvidItkLUal唱jndwMgQ制InferenLi*也唱山也for5逅1电lietllgoliHfonMT1RTTensorPT叼、量*?审打钝工呷1具51中事$butisHNk说乎tCuOLMi博I/hcinr-j'renjr/nwidijB/jooglenrtint8wbs4.engineha3beea5uuuit3>3ifiJ】lyloaded_interiigoingon町TftTJTw5<h*RF2号,颦加晕工14bytisJUftkediCiiBLAS工乳工用inpiitbuiferiiib：京吗M41Kinfflp&fice53H5irfxtr2与18褪&tir*es汨+封已收一coststirw:868mgIRan./bin/sasplejgaoElenetwith；£lInput(a)：dataIJOuLputfG：prccb,原MiPAS5DT力sorffT.5nRMgJWNt*,-loadFnglftp|rgtkEs-art：ftrTans口rtiT.5pwd6.参考资料1代码TensorRT/s