Hi3559AV100 NNIE开发(2)-RFCN(.wk)LoadModel及NNIE Init函数运行过程分析

  之后随笔将更多笔墨着重于NNIE开发系列,下文是关于Hi3559AV100 NNIE开发(2)-RFCN(.wk)LoadModel及NNIE Init函数运行过程分析,通过对LoadModel函数及NNIE Init函数实现分析,结合上一篇随笔对LoadModel函数参数挖掘,很大程度上能够理解NNIE初始化实现过程,并给其他算法模型在NNIE移植提供参考,下面将给出RFCN Load_Model函数执行过程与NNIE_RFCN参数初始化过程。

1、RFCN Load_Model函数执行过程

  pszModelFile是导入目标检测方法RFCN .wk模型的位置与文件名,pstNnieModel结构的详细解析已经通过上一篇随笔(Hi3359AV100 NNIE开发(1)-RFCN(.wk)LoadModel函数参数解析 :https://www.cnblogs.com/iFrank/p/14500648.html)给出。

  而在RFCN demo中把RFCN的.wk模型文件通过函数导出模型参数,具体调用如下所示:

1 static SAMPLE_SVP_NNIE_MODEL_S s_stRfcnModel = {0};
2  
3 HI_CHAR *pcModelName = "./data/nnie_model/detection/inst_rfcn_resnet50_cycle_352x288.wk";
4   
5  //函数输入参数
6 SAMPLE_COMM_SVP_NNIE_LoadModel(pcModelName,&s_stRfcnModel);

  下面给出LoadModel函数的具体分析,深入函数内部,把各个细节弄清楚,先给SAMPLE_COMM_SVP_NNIE_LoadModel函数:

 1 /*SAMPLE_COMM_SVP_NNIE_LoadModel(pcModelName,
 2                                 &s_stRfcnModel);*/
 3 HI_S32 SAMPLE_COMM_SVP_NNIE_LoadModel(
 4     HI_CHAR * pszModelFile,
 5     SAMPLE_SVP_NNIE_MODEL_S *pstNnieModel)
 6 {
 7     HI_S32 s32Ret = HI_INVALID_VALUE;
 8     HI_U64 u64PhyAddr = 0;
 9     HI_U8 *pu8VirAddr = NULL;
10     HI_SL slFileSize = 0;
11     /*Get model file size*/
12     FILE *fp=fopen(pszModelFile,"rb");
13     SAMPLE_SVP_CHECK_EXPR_RET(NULL == fp,s32Ret,SAMPLE_SVP_ERR_LEVEL_ERROR,"Error, open model file failed!\n");
14     s32Ret = fseek(fp,0L,SEEK_END); // 文件指针指向文件尾
15     SAMPLE_SVP_CHECK_EXPR_GOTO(-1 == s32Ret,FAIL_0,SAMPLE_SVP_ERR_LEVEL_ERROR,"Error, fseek failed!\n");
16     slFileSize = ftell(fp); // 获取文件字节大小
17     SAMPLE_SVP_CHECK_EXPR_GOTO(slFileSize <= 0,FAIL_0,SAMPLE_SVP_ERR_LEVEL_ERROR,"Error, ftell failed!\n");
18     s32Ret = fseek(fp,0L,SEEK_SET); // 再将文件指针指向文件头
19     SAMPLE_SVP_CHECK_EXPR_GOTO(-1 == s32Ret,FAIL_0,SAMPLE_SVP_ERR_LEVEL_ERROR,"Error, fseek failed!\n");
20 
21     /*malloc model file mem 根据文件大小计算需分配的物理地址及虚拟地址大小*/
22     s32Ret = SAMPLE_COMM_SVP_MallocMem("SAMPLE_NNIE_MODEL",
23                             NULL,
24                             (HI_U64*)&u64PhyAddr,  //0
25                             (void**)&pu8VirAddr,   //NULL
26                             slFileSize); //ftell(fp)
27     SAMPLE_SVP_CHECK_EXPR_GOTO(HI_SUCCESS != s32Ret,FAIL_0,SAMPLE_SVP_ERR_LEVEL_ERROR,
28         "Error(%#x),Malloc memory failed!\n",s32Ret);
29 
30     pstNnieModel->stModelBuf.u32Size = (HI_U32)slFileSize; //文件大小
31     pstNnieModel->stModelBuf.u64PhyAddr = u64PhyAddr;  //物理地址
32     pstNnieModel->stModelBuf.u64VirAddr = (HI_U64)pu8VirAddr;   //虚拟指针
33 
34     /*读取整个wk文件到虚拟地址*/
35     s32Ret = fread(pu8VirAddr,slFileSize,1,fp);
36     SAMPLE_SVP_CHECK_EXPR_GOTO(1 != s32Ret,FAIL_1,SAMPLE_SVP_ERR_LEVEL_ERROR,
37         "Error,read model file failed!\n");
38 
39     /*load model ,从wk文件数据buf 中的模型中解析出网络模型*/
40     s32Ret = HI_MPI_SVP_NNIE_LoadModel(&pstNnieModel->stModelBuf, /*输入:模型数据buf*/
41                                        &pstNnieModel->stModel); /*输出:网络模型结构体*/
42     
43     SAMPLE_SVP_CHECK_EXPR_GOTO(HI_SUCCESS != s32Ret,FAIL_1,SAMPLE_SVP_ERR_LEVEL_ERROR,
44         "Error,HI_MPI_SVP_NNIE_LoadModel failed!\n");
45 
46     fclose(fp);
47     return HI_SUCCESS;
48 FAIL_1:
49     SAMPLE_SVP_MMZ_FREE(pstNnieModel->stModelBuf.u64PhyAddr,pstNnieModel->stModelBuf.u64VirAddr);
50     pstNnieModel->stModelBuf.u32Size  = 0;
51 FAIL_0:
52     if (NULL != fp)
53     {
54         fclose(fp);
55     }
56 
57     return HI_FAILURE;
58 }

  通过分析,LoadModel函数执行以下步骤:

  (1)获取wk文件文件大小;
  (2)根据文件大小分配存储wk文件的物理地址与虚拟地址;
  (3)读取wk文件到虚拟地址
  (4)从wk文件数据的buf中解析出网络模型信息
  执行完后上述步骤后,模型存储在s_stRfcnModel.stModel结构体里,这个结构体里存储的是什么信息,可参考我上一篇随笔Hi3359AV100 NNIE开发(1)-RFCN(.wk)LoadModel函数参数解析 :https://www.cnblogs.com/iFrank/p/14500648.html,这里简单罗列各个段、输入输出节点(以Fast RCNN为例,因为HiSVP开发是以Fast RCNN为例进行细节说明的,此处与文档匹配)的信息如下:
Hi3559AV100 NNIE开发(2)-RFCN(.wk)LoadModel及NNIE Init函数运行过程分析

 2、NNIE_RFCN参数初始化过程

  在完成SAMPLE_COMM_SVP_NNIE_LoadModel提取.wk模型参数值之后,结构体指针给到 s_stRfcnNnieParam.pstModel = &s_stRfcnModel.stModel;这个结构体中,随后进行的就是RFCN算法的NNIE参数初始化,具体如下所示:

 1 /*
 2     stNnieCfg.pszPic= NULL;
 3     stNnieCfg.u32MaxInputNum = 1; //max input image num in each batch
 4     stNnieCfg.u32MaxRoiNum = 300;
 5     stNnieCfg.aenNnieCoreId[0] = SVP_NNIE_ID_0; //set NNIE core for 0-th Seg
 6                                 //表示下标为 0 的 NNIE 引擎
 7     stNnieCfg.aenNnieCoreId[1] = SVP_NNIE_ID_0; //set NNIE core for 1-th Seg
 8     stNnieCfg.aenNnieCoreId[2] = SVP_NNIE_ID_0; //set NNIE core for 2-th Seg
 9 
10     s_stRfcnNnieParam.pstModel = &s_stRfcnModel.stModel;
11     s_stRfcnSoftwareParam.apcRpnDataLayerName[0] = "rpn_cls_score";
12     s_stRfcnSoftwareParam.apcRpnDataLayerName[1] = "rpn_bbox_pred";
13 
14     s32Ret = SAMPLE_SVP_NNIE_Rfcn_ParamInit(&stNnieCfg,
15                                         &s_stRfcnNnieParam,
16                                         &s_stRfcnSoftwareParam);
17 */
18 
19 //函数初始化
20 static HI_S32 SAMPLE_SVP_NNIE_Rfcn_ParamInit(
21     SAMPLE_SVP_NNIE_CFG_S* pstCfg,
22     SAMPLE_SVP_NNIE_PARAM_S *pstNnieParam,  //pstModel
23     SAMPLE_SVP_NNIE_RFCN_SOFTWARE_PARAM_S* pstSoftWareParam)
24 {
25     HI_S32 s32Ret = HI_SUCCESS;
26     /*init hardware para*/
27     s32Ret = SAMPLE_COMM_SVP_NNIE_ParamInit(pstCfg,pstNnieParam);
28     SAMPLE_SVP_CHECK_EXPR_GOTO(HI_SUCCESS != s32Ret,INIT_FAIL_0,SAMPLE_SVP_ERR_LEVEL_ERROR,
29         "Error(%#x),SAMPLE_COMM_SVP_NNIE_ParamInit failed!\n",s32Ret);
30 
31     /*init software para*/
32     s32Ret = SAMPLE_SVP_NNIE_Rfcn_SoftwareInit(pstCfg,pstNnieParam,pstSoftWareParam);
33     SAMPLE_SVP_CHECK_EXPR_GOTO(HI_SUCCESS != s32Ret,INIT_FAIL_0,SAMPLE_SVP_ERR_LEVEL_ERROR,
34         "Error(%#x),SAMPLE_SVP_NNIE_Rfcn_SoftwareInit failed!\n",s32Ret);
35 
36     return s32Ret;
37 INIT_FAIL_0:
38     s32Ret = SAMPLE_SVP_NNIE_Rfcn_Deinit(pstNnieParam,pstSoftWareParam,NULL);
39     SAMPLE_SVP_CHECK_EXPR_RET(HI_SUCCESS != s32Ret,s32Ret,SAMPLE_SVP_ERR_LEVEL_ERROR,
40             "Error(%#x),SAMPLE_SVP_NNIE_Rfcn_Deinit failed!\n",s32Ret);
41     return HI_FAILURE;
42 
43 }

  这个函数里面执行稍复杂,简单来说就是使用stNnieCfg等信息来初始化s_stRfcnNnieParam,在使用s_stRfcnNnieParam等来初始化s_stRfcnSoftwareParam。

  RFCN NNIE初始化函数分为SAMPLE_COMM_SVP_NNIE_ParamInit(初始化硬件参数)与SAMPLE_SVP_NNIE_Rfcn_SoftwareInit(初始化软件参数)两个函数。

2.1、NNIE初始化下SAMPLE_COMM_SVP_NNIE_ParamInit实现分析

  首先看SAMPLE_COMM_SVP_NNIE_ParamInit:

1 HI_S32 SAMPLE_COMM_SVP_NNIE_ParamInit(SAMPLE_SVP_NNIE_CFG_S *pstNnieCfg,
2     SAMPLE_SVP_NNIE_PARAM_S *pstNnieParam)
3 {
4         .......
5 
6     /*NNIE parameter initialization */
7     s32Ret = SAMPLE_SVP_NNIE_ParamInit(pstNnieCfg,pstNnieParam);
8         .......
9 }

  这个函数的实现里做了一些输入参数的有效判断后,就直接调用SAMPLE_SVP_NNIE_ParamInit,因此我们就直接看SAMPLE_SVP_NNIE_ParamInit(NNIE参数初始化)的实现,在这个函数里首先调用:

1 /*fill forward info*/
2     s32Ret = SAMPLE_SVP_NNIE_FillForwardInfo(pstNnieCfg,pstNnieParam);

  这个函数的实质就是使用pstNnieParam->pstModel->astSeg的信息来初始化pstNnieParam->astForwardWithBboxCtrl与pstNnieParam->astSegData这两个结构体。

  SAMPLE_SVP_NNIE_ParamInit下第2个关键SAMPLE_SVP_NNIE_GetTaskAndBlobBufSize函数,输入参数如下:

1     /*Get taskInfo and Blob mem size*/
2     s32Ret = SAMPLE_SVP_NNIE_GetTaskAndBlobBufSize(pstNnieCfg,
3                                                    pstNnieParam,
4                                                    &u32TotalTaskBufSize,/*输入&输出:输入值为0; 输出:网络各段辅助内存的总和*/
5                                                    &u32TmpBufSize,/*输入&输出,输入值为0; 输出:模型辅助内存大小*/
6                                                    astBlobSize,/*输入&输出:输入为空;  输出:各段第1个输入、输出节点辅助内存*/
7                                                    &u32TotalSize);

  这个函数是计算各个段、各个段中的各个节点的的辅助内存大小。我们知道,在之前的load模型的步骤中,是已经获取到模型的辅助内存(pstNnieParam->pstModel->u32TmpBufSize),但各段、段中各个节点的辅助内存是不知道的,因此该函数就是获取这些辅助内存。在这个函数中,首先调用底层API  HI_MPI_SVP_NNIE_GetTskBufSize获取到网络任务的各段的辅助内存pstNnieParam->au32TaskBufSize,然后再调用SAMPLE_SVP_NNIE_GetBlobMemSize计算第1段的第1个输入节点Blob的辅助内存,以及每段的第1个输出节点的Blob辅助内存。

  回到SAMPLE_SVP_NNIE_ParamInit函数中,SAMPLE_SVP_NNIE_GetTaskAndBlobBufSize执行完后,u32TotalSize为总的辅助内存大小(含模型、段、节点),此时调用第三个函数MallocCached实现内存空间分配:

1 /*Malloc mem*/
2     s32Ret = SAMPLE_COMM_SVP_MallocCached("SAMPLE_NNIE_TASK",NULL,(HI_U64*)&u64PhyAddr,(void**)&pu8VirAddr,u32TotalSize);

  接着后面,执行SAMLE_COMM_SVP_FlushCacheha函数,实现cache数据转移到内存中,具体实现如下:

1 HI_S32 SAMPLE_COMM_SVP_FlushCache(HI_U64 u64PhyAddr, HI_VOID *pvVirAddr, HI_U32 u32Size)
2 {
3     HI_S32 s32Ret = HI_SUCCESS;
4     s32Ret = HI_MPI_SYS_MmzFlushCache(u64PhyAddr, pvVirAddr,u32Size);
5 
6     /*刷新 cache 里的内容到内存并且使 cache 里的内容无效
7     此接口应与 HI_MPI_SYS_MmzAlloc_Cached 接口配套使用。*/
8     return s32Ret;
9 }

  再根据得到的虚拟内存地址、物理内存地址来初始化pstNnieParam->stTaskBuf、pstNnieParam->stTmpBuf、pstNnieParam->astForwardWithBboxCtrl[i].stTmpBuf、pstNnieParam->astForwardWithBboxCtrl[i].stTskBuf、stNnieParam->astForwardCtrl[i].stTskBuf、stNnieParam->astSegData[i].astSrc[j]这些结构体中的内存地址值,这个才是真正的初始化,之前在SAMPLE_SVP_NNIE_FillForwardInfo函数中也有对这些结构体做初始化,但那是“false init”,到此SAMPLE_COMM_SVP_NNIE_paramInit函数下SAMPLE_SVP_NNIE_ParamInit函数执行完毕。

2.2、NNIE初始化下SAMPLE_SVP_NNIE_Rfcn_SoftwareInit实现分析

  首先给出SAMPLE_SVP_NNIE_Rfcn_SoftwareInit函数调用,输入三个参数,相比于SAMPLE_COMM_SVP_NNIE_ParamInit,多了s_stRfcnSoftwareParam参数,其参数用来设置RPN data layer name

和查找RPN input data,这个需根据项目实际的算法模型来进行调整改变,参数设置与调用具体如下所示:

 1     stNnieCfg.pszPic= NULL;
 2     stNnieCfg.u32MaxInputNum = 1; //max input image num in each batch
 3     stNnieCfg.u32MaxRoiNum = 300;
 4     stNnieCfg.aenNnieCoreId[0] = SVP_NNIE_ID_0; //set NNIE core for 0-th Seg
 5                                 //表示下标为 0 的 NNIE 引擎
 6     stNnieCfg.aenNnieCoreId[1] = SVP_NNIE_ID_0; //set NNIE core for 1-th Seg
 7     stNnieCfg.aenNnieCoreId[2] = SVP_NNIE_ID_0; //set NNIE core for 2-th Seg
 8 
 9     s_stRfcnNnieParam.pstModel = &s_stRfcnModel.stModel;
10     s_stRfcnSoftwareParam.apcRpnDataLayerName[0] = "rpn_cls_score";
11     s_stRfcnSoftwareParam.apcRpnDataLayerName[1] = "rpn_bbox_pred";
12 
13     s32Ret = SAMPLE_SVP_NNIE_Rfcn_ParamInit(&stNnieCfg,
14                                       &s_stRfcnNnieParam,
15                                       &s_stRfcnSoftwareParam);

  随后我们进入到SAMPLE_SVP_NNIE_Rfcn_SoftwareInit函数体,定义如下:

1 /******************************************************************************
2 * function : Rfcn software para init
3 ******************************************************************************/
4 static HI_S32 SAMPLE_SVP_NNIE_Rfcn_SoftwareInit(
5             SAMPLE_SVP_NNIE_CFG_S* pstCfg,
6             SAMPLE_SVP_NNIE_PARAM_S *pstNnieParam,         
7             SAMPLE_SVP_NNIE_RFCN_SOFTWARE_PARAM_S* pstSoftWareParam)            

  函数体内最主要功能是实现s_stRfcnSoftwareParam参数的赋值,大量赋值语句,来实现Rpn参数的软件初始化,具体过程分为如下:

  (1)Init Rpn para;

 1     pstSoftWareParam->u32MaxRoiNum = pstCfg->u32MaxRoiNum;
 2     pstSoftWareParam->u32ClassNum = 21;
 3     pstSoftWareParam->u32NumRatioAnchors = 3;
 4     pstSoftWareParam->u32NumScaleAnchors = 3;
 5     pstSoftWareParam->au32Scales[0] = 8 * SAMPLE_SVP_NNIE_QUANT_BASE;
 6     pstSoftWareParam->au32Scales[1] = 16 * SAMPLE_SVP_NNIE_QUANT_BASE;
 7     pstSoftWareParam->au32Scales[2] = 32 * SAMPLE_SVP_NNIE_QUANT_BASE;
 8     pstSoftWareParam->au32Ratios[0] = 0.5 * SAMPLE_SVP_NNIE_QUANT_BASE;
 9     pstSoftWareParam->au32Ratios[1] = 1 * SAMPLE_SVP_NNIE_QUANT_BASE;
10     pstSoftWareParam->au32Ratios[2] = 2 * SAMPLE_SVP_NNIE_QUANT_BASE;
11     pstSoftWareParam->u32OriImHeight = pstNnieParam->astSegData[0].astSrc[0].unShape.stWhc.u32Height;
12     pstSoftWareParam->u32OriImWidth = pstNnieParam->astSegData[0].astSrc[0].unShape.stWhc.u32Width;
13     pstSoftWareParam->u32MinSize = 16;
14     pstSoftWareParam->u32FilterThresh = 0;
15     pstSoftWareParam->u32SpatialScale = (HI_U32)(0.0625 * SAMPLE_SVP_NNIE_QUANT_BASE);
16     pstSoftWareParam->u32NmsThresh = (HI_U32)(0.7 * SAMPLE_SVP_NNIE_QUANT_BASE);
17     pstSoftWareParam->u32FilterThresh = 0;
18     pstSoftWareParam->u32NumBeforeNms = 6000;
19     for(i = 0; i < pstSoftWareParam->u32ClassNum; i++)
20     {
21         pstSoftWareParam->au32ConfThresh[i] = 1;
22         pstSoftWareParam->af32ScoreThr[i] = 0.8f;
23     }
24     pstSoftWareParam->u32ValidNmsThresh = (HI_U32)(0.3 * 4096);

  (2)设置Rpn输入数据信息,输入信息是由RPN data layer‘s name作为设置的依据;

 1     for(i = 0; i < 2; i++)
 2     {
 3         for(j = 0; j < pstNnieParam->pstModel->astSeg[0].u16DstNum; j++)
 4         {
 5             if(0 == strncmp(pstNnieParam->pstModel->astSeg[0].astDstNode[j].szName,
 6                     pstSoftWareParam->apcRpnDataLayerName[i],
 7                     SVP_NNIE_NODE_NAME_LEN))
 8             {
 9                 pstSoftWareParam->aps32Conv[i] =(HI_S32*)pstNnieParam->astSegData[0].astDst[j].u64VirAddr;
10                 pstSoftWareParam->au32ConvHeight[i] = pstNnieParam->pstModel->astSeg[0].astDstNode[j].unShape.stWhc.u32Height;
11                 pstSoftWareParam->au32ConvWidth[i] = pstNnieParam->pstModel->astSeg[0].astDstNode[j].unShape.stWhc.u32Width;
12                 pstSoftWareParam->au32ConvChannel[i] = pstNnieParam->pstModel->astSeg[0].astDstNode[j].unShape.stWhc.u32Chn;
13                 break;
14             }
15         }
16         SAMPLE_SVP_CHECK_EXPR_RET((j == pstNnieParam->pstModel->astSeg[0].u16DstNum),
17             HI_FAILURE,SAMPLE_SVP_ERR_LEVEL_ERROR,"Error,failed to find report node %s!\n",
18             pstSoftWareParam->apcRpnDataLayerName[i]);
19         if(0 == i)
20         {
21             pstSoftWareParam->u32ConvStride = pstNnieParam->astSegData[0].astDst[j].u32Stride;
22         }
23     }
24 
25     pstSoftWareParam->stRpnBbox.enType = SVP_BLOB_TYPE_S32;
26     pstSoftWareParam->stRpnBbox.unShape.stWhc.u32Chn = 1;
27     pstSoftWareParam->stRpnBbox.unShape.stWhc.u32Height = pstCfg->u32MaxRoiNum;
28     pstSoftWareParam->stRpnBbox.unShape.stWhc.u32Width = SAMPLE_SVP_COORDI_NUM;
29     pstSoftWareParam->stRpnBbox.u32Stride = SAMPLE_SVP_NNIE_ALIGN16(SAMPLE_SVP_COORDI_NUM*sizeof(HI_U32));
30     pstSoftWareParam->stRpnBbox.u32Num = 1;

  (3)最后一步是配置Rfcn软件内存空间大小;

 1     u32RpnTmpBufSize = SAMPLE_SVP_NNIE_RpnTmpBufSize(pstSoftWareParam->u32NumRatioAnchors,
 2         pstSoftWareParam->u32NumScaleAnchors,pstSoftWareParam->au32ConvHeight[0],
 3         pstSoftWareParam->au32ConvWidth[0]);
 4     u32RpnTmpBufSize = SAMPLE_SVP_NNIE_ALIGN16(u32RpnTmpBufSize);
 5     u32RpnBboxBufSize = pstSoftWareParam->stRpnBbox.u32Num*
 6         pstSoftWareParam->stRpnBbox.unShape.stWhc.u32Height*pstSoftWareParam->stRpnBbox.u32Stride;
 7     u32GetResultTmpBufSize = SAMPLE_SVP_NNIE_Rfcn_GetResultTmpBuf(pstCfg->u32MaxRoiNum,pstSoftWareParam->u32ClassNum);
 8     u32GetResultTmpBufSize = SAMPLE_SVP_NNIE_ALIGN16(u32GetResultTmpBufSize);
 9     u32ClassNum = pstSoftWareParam->u32ClassNum;
10     u32DstRoiSize = SAMPLE_SVP_NNIE_ALIGN16(u32ClassNum*pstCfg->u32MaxRoiNum*sizeof(HI_U32)*SAMPLE_SVP_NNIE_COORDI_NUM);
11     u32DstScoreSize = SAMPLE_SVP_NNIE_ALIGN16(u32ClassNum*pstCfg->u32MaxRoiNum*sizeof(HI_U32));
12     u32ClassRoiNumSize = SAMPLE_SVP_NNIE_ALIGN16(u32ClassNum*sizeof(HI_U32));
13     u32TotalSize = u32RpnTmpBufSize + u32RpnBboxBufSize + u32GetResultTmpBufSize + u32DstRoiSize +
14         u32DstScoreSize + u32ClassRoiNumSize;
15 
16     s32Ret = SAMPLE_COMM_SVP_MallocCached("SAMPLE_RFCN_INIT",NULL,(HI_U64*)&u64PhyAddr,
17         (void**)&pu8VirAddr,u32TotalSize);
18     SAMPLE_SVP_CHECK_EXPR_RET(HI_SUCCESS != s32Ret,s32Ret,SAMPLE_SVP_ERR_LEVEL_ERROR,
19         "Error,Malloc memory failed!\n");
20     memset(pu8VirAddr,0, u32TotalSize);
21     SAMPLE_COMM_SVP_FlushCache(u64PhyAddr,(void*)pu8VirAddr,u32TotalSize);
22 
23     pstSoftWareParam->stRpnTmpBuf.u64PhyAddr = u64PhyAddr;
24     pstSoftWareParam->stRpnTmpBuf.u64VirAddr = (HI_U64)(pu8VirAddr);
25     pstSoftWareParam->stRpnTmpBuf.u32Size = u32RpnTmpBufSize;
26 
27     pstSoftWareParam->stRpnBbox.u64PhyAddr = u64PhyAddr+u32RpnTmpBufSize;
28     pstSoftWareParam->stRpnBbox.u64VirAddr = (HI_U64)(pu8VirAddr)+u32RpnTmpBufSize;
29 
30     pstSoftWareParam->stGetResultTmpBuf.u64PhyAddr = u64PhyAddr+u32RpnTmpBufSize+u32RpnBboxBufSize;
31     pstSoftWareParam->stGetResultTmpBuf.u64VirAddr = (HI_U64)(pu8VirAddr+u32RpnTmpBufSize+u32RpnBboxBufSize);
32     pstSoftWareParam->stGetResultTmpBuf.u32Size = u32GetResultTmpBufSize;
33 
34     pstSoftWareParam->stDstRoi.enType = SVP_BLOB_TYPE_S32;
35     pstSoftWareParam->stDstRoi.u64PhyAddr = u64PhyAddr+u32RpnTmpBufSize+u32RpnBboxBufSize+u32GetResultTmpBufSize;
36     pstSoftWareParam->stDstRoi.u64VirAddr = (HI_U64)(pu8VirAddr+u32RpnTmpBufSize+u32RpnBboxBufSize+u32GetResultTmpBufSize);
37     pstSoftWareParam->stDstRoi.u32Stride = SAMPLE_SVP_NNIE_ALIGN16(u32ClassNum*pstSoftWareParam->u32MaxRoiNum*sizeof(HI_U32)*SAMPLE_SVP_NNIE_COORDI_NUM);
38     pstSoftWareParam->stDstRoi.u32Num = 1;
39     pstSoftWareParam->stDstRoi.unShape.stWhc.u32Chn = 1;
40     pstSoftWareParam->stDstRoi.unShape.stWhc.u32Height = 1;
41     pstSoftWareParam->stDstRoi.unShape.stWhc.u32Width = u32ClassNum*pstSoftWareParam->u32MaxRoiNum*SAMPLE_SVP_NNIE_COORDI_NUM;
42 
43     pstSoftWareParam->stDstScore.enType = SVP_BLOB_TYPE_S32;
44     pstSoftWareParam->stDstScore.u64PhyAddr = u64PhyAddr+u32RpnTmpBufSize+u32RpnBboxBufSize+u32GetResultTmpBufSize+u32DstRoiSize;
45     pstSoftWareParam->stDstScore.u64VirAddr = (HI_U64)(pu8VirAddr+u32RpnTmpBufSize+u32RpnBboxBufSize+u32GetResultTmpBufSize+u32DstRoiSize);
46     pstSoftWareParam->stDstScore.u32Stride = SAMPLE_SVP_NNIE_ALIGN16(u32ClassNum*pstSoftWareParam->u32MaxRoiNum*sizeof(HI_U32));
47     pstSoftWareParam->stDstScore.u32Num = 1;
48     pstSoftWareParam->stDstScore.unShape.stWhc.u32Chn = 1;
49     pstSoftWareParam->stDstScore.unShape.stWhc.u32Height = 1;
50     pstSoftWareParam->stDstScore.unShape.stWhc.u32Width = u32ClassNum*pstSoftWareParam->u32MaxRoiNum;
51 
52     pstSoftWareParam->stClassRoiNum.enType = SVP_BLOB_TYPE_S32;
53     pstSoftWareParam->stClassRoiNum.u64PhyAddr = u64PhyAddr+u32RpnTmpBufSize+u32RpnBboxBufSize+u32GetResultTmpBufSize+u32DstRoiSize+u32DstScoreSize;
54     pstSoftWareParam->stClassRoiNum.u64VirAddr = (HI_U64)(pu8VirAddr+u32RpnTmpBufSize+u32RpnBboxBufSize+u32GetResultTmpBufSize+u32DstRoiSize+u32DstScoreSize);
55     pstSoftWareParam->stClassRoiNum.u32Stride = SAMPLE_SVP_NNIE_ALIGN16(u32ClassNum*sizeof(HI_U32));
56     pstSoftWareParam->stClassRoiNum.u32Num = 1;
57     pstSoftWareParam->stClassRoiNum.unShape.stWhc.u32Chn = 1;
58     pstSoftWareParam->stClassRoiNum.unShape.stWhc.u32Height = 1;
59     pstSoftWareParam->stClassRoiNum.unShape.stWhc.u32Width = u32ClassNum;

  pstSoftWareParam(s_stRfcnSoftwareParam)参数的大量赋值完成上述操作后,为后续NNIE thread work函数SAMPLE_SVP_NNIE_Rfcn_ViToVo提供参数,如下所示:

1     pstParam = &s_stRfcnNnieParam;  //SAMPLE_SVP_NNIE_Rfcn_ViToVo函数内进行再赋值操作
2     pstSwParam = &s_stRfcnSoftwareParam;

  到此为止,RFCN LoadModel与RFCN NNIE初始化函数分析已经完成。

 

 

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