---
title: aclAippInfo
description: "```"
url: https://www.hiascend.com/document/detail/zh/Atlas200IDKA2DeveloperKit/latest/Application%20Development%20Guide/aadgc/aclcppdevg_03_1670.html
sourcePath: /source/zh/Atlas200IDKA2DeveloperKit/23.0.RC2/Application Development Guide/aadgc/aclcppdevg_03_1670.html
indexId: a7ff44ef595ca7af3c5708cf4eaca60947217ef0379d99317e307791693ea038105
---
# aclAippInfo

```
typedef struct aclAippInfo {
aclAippInputFormat inputFormat;
int32_t srcImageSizeW;
int32_t srcImageSizeH;
int8_t cropSwitch;
int32_t loadStartPosW;
int32_t loadStartPosH;
int32_t cropSizeW;
int32_t cropSizeH;
int8_t resizeSwitch;
int32_t resizeOutputW;
int32_t resizeOutputH;
int8_t paddingSwitch;
int32_t leftPaddingSize;
int32_t rightPaddingSize;
int32_t topPaddingSize;
int32_t bottomPaddingSize;
int8_t cscSwitch;
int8_t rbuvSwapSwitch;
int8_t axSwapSwitch;
int8_t singleLineMode;
int32_t matrixR0C0;
int32_t matrixR0C1;
int32_t matrixR0C2;
int32_t matrixR1C0;
int32_t matrixR1C1;
int32_t matrixR1C2;
int32_t matrixR2C0;
int32_t matrixR2C1;
int32_t matrixR2C2;
int32_t outputBias0;
int32_t outputBias1;
int32_t outputBias2;
int32_t inputBias0;
int32_t inputBias1;
int32_t inputBias2;
int32_t meanChn0;
int32_t meanChn1;
int32_t meanChn2;
int32_t meanChn3;
float minChn0;
float minChn1;
float minChn2;
float minChn3;
float varReciChn0;
float varReciChn1;
float varReciChn2;
float varReciChn3;
aclFormat srcFormat;      //模型转换前，原始模型的输入format
aclDataType srcDatatype;  //模型转换前，原始模型的输入datatype
size_t srcDimNum;         //模型转换前，原始模型输入dims
size_t shapeCount;        //动态Shape（动态Batch或动态分辨率）场景下的档位数
aclAippDims outDims[ACL_MAX_SHAPE_COUNT]; //在多shape模型下，各个分档对应的aipp输出dims信息，需要在模型编译阶段按照shape推导出来，保存在模型中，输出的Format，datatype、输出dims等不随shape变化而变化
aclAippExtendInfo *aippExtend; //预留参数，当前版本用户必须传入空指针
} aclAippInfo;
```