English

hbDNNDataType

typedef enum {
  HB_DNN_IMG_TYPE_Y,
  HB_DNN_IMG_TYPE_NV12,
  HB_DNN_IMG_TYPE_NV12_SEPARATE,
  HB_DNN_IMG_TYPE_YUV444,
  HB_DNN_IMG_TYPE_RGB,
  HB_DNN_IMG_TYPE_BGR,
  HB_DNN_TENSOR_TYPE_S4,
  HB_DNN_TENSOR_TYPE_U4,
  HB_DNN_TENSOR_TYPE_S8,
  HB_DNN_TENSOR_TYPE_U8,
  HB_DNN_TENSOR_TYPE_F16,
  HB_DNN_TENSOR_TYPE_S16,
  HB_DNN_TENSOR_TYPE_U16,
  HB_DNN_TENSOR_TYPE_F32,
  HB_DNN_TENSOR_TYPE_S32,
  HB_DNN_TENSOR_TYPE_U32,
  HB_DNN_TENSOR_TYPE_F64,
  HB_DNN_TENSOR_TYPE_S64,
  HB_DNN_TENSOR_TYPE_U64,
  HB_DNN_TENSOR_TYPE_BOOL8,
  HB_DNN_TENSOR_TYPE_MAX
} hbDNNDataType;

Tensor type.

S stands for Signed, U for Unsigned, and F for Floating-point, followed by a number that stands for the number of bits.

HB_DNN_IMG_TYPE_NV12 and HB_DNN_IMG_TYPE_NV12_SEPARATE both represent NV12 data, but there are differences in storage.

HB_DNN_IMG_TYPE_NV12 stores Y data and UV data in a piece of memory. When you are ready to input, just put the data in hbDNNTensor.sysMem[0].
HB_DNN_IMG_TYPE_NV12_SEPARATE stores Y data and UV data separately, Y data is stored in hbDNNTensor.sysMem[0], and UV data is stored in hbDNNTensor.sysMem[1].
Member

Member Name	Description
`HB_DNN_IMG_TYPE_Y`	Tensor type: Image with Y channel only.
`HB_DNN_IMG_TYPE_NV12`	Tensor type: An NV12 Image.
`HB_DNN_IMG_TYPE_NV12_SEPARATE`	Tensor type: Image with Y & UV channels as input.
`HB_DNN_IMG_TYPE_YUV444`	Tensor type: Image with YUV444 as input. J6 is deprecated.
`HB_DNN_IMG_TYPE_RGB`	Tensor type: Image with RGB as input. J6 is deprecated
`HB_DNN_IMG_TYPE_BGR`	Tensor type: Image with BGR as input. J6 is deprecated
`HB_DNN_TENSOR_TYPE_S4`	Tensor type: Signed 4 bit.
`HB_DNN_TENSOR_TYPE_U4`	Tensor type: Unsigned 4 bit.
`HB_DNN_TENSOR_TYPE_S8`	Tensor type: Signed 8 bit.
`HB_DNN_TENSOR_TYPE_U8`	Tensor type: Unsigned 8 bit.
`HB_DNN_TENSOR_TYPE_F16`	Tensor type: 16 bit floating-point.
`HB_DNN_TENSOR_TYPE_S16`	Tensor type: Signed 16 bit.
`HB_DNN_TENSOR_TYPE_U16`	Tensor type: Unsigned 16 bit.
`HB_DNN_TENSOR_TYPE_F32`	Tensor type: 32 bit floating-point.
`HB_DNN_TENSOR_TYPE_S32`	Tensor type: Signed 32 bit.
`HB_DNN_TENSOR_TYPE_U32`	Tensor type: Unsigned 32 bit.
`HB_DNN_TENSOR_TYPE_F64`	Tensor type: 64 bit floating-point.
`HB_DNN_TENSOR_TYPE_S64`	Tensor type: Signed 64 bit.
`HB_DNN_TENSOR_TYPE_U64`	Tensor type: Unsigned 64 bit.
`HB_DNN_TENSOR_TYPE_BOOL8`	Tensor type: Bool 8bit。
`HB_DNN_TENSOR_TYPE_MAX`	Maximum tensor type number.

PTQ Conversion Tools

The hb_compile Tool

PTQ Conversion Steps

PTQ Conversion Samples

FAQ and Common Failure Resolutions

Appendix

Tutorial

Advanced Tutorial

API Reference

QAT

Model Export

Horizon Operator

Vision Process

Vision Algorithm

Sample

VP API Introduction

Data Structure

Function Interface

Model Inference Development

Model Inference API Introduction

Data Type and Data Structure

API Interface

Model Inference Tool Introduction

High Performance Library

High Performance Algorithm

HPL API Introduction

Data Structure

Functional Interface

UCP Common API Introduction

Data Structure

Functional Interface

UCP Performance Analysis Tools

Horizon Torch Samples

FRAMEWORK

TUTORIALS

EXAMPLES

API REFERENCE

Toolchain Operator Support Constraint List

hbDNNDataType

The hb_compile Tool

QAT

Model Export

Horizon Operator

Vision Algorithm

Sample

VP API Introduction

Data Structure

Function Interface

Model Inference API Introduction

Data Type and Data Structure

API Interface

Model Inference Tool Introduction

High Performance Algorithm

HPL API Introduction

Data Structure

Functional Interface

Data Structure

Functional Interface

FRAMEWORK

TUTORIALS

EXAMPLES

API REFERENCE

#hbDNNDataType

hbDNNDataType