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OE Document Introduction

Product Introduction

OpenExplorer Introduction

Toolchain Overview

Key Concepts

Environment Deployment

Quick Start

PTQ and QAT Introduction

Algorithm Model PTQ + On-board Deployment Quick Start

Algorithm Model QAT + Deployment Quick Start

Post-training Quantization (PTQ)

PTQ Conversion Principle and Process

PTQ Conversion Tools

PTQ Conversion Tool Overview

The hb_compile Tool

Model Checking

Model Quantized Compilation

Model Modification and HBIR Model Compilation

The quant_config Introduction

The hb_model_info Tool

The hb_verifier Tool

The hb_eval_preprocess Tool

The hb_config_generator Tool

The HBRuntime Inference Library

Accuracy Debug Tool

PTQ Conversion Steps

Prepare Floating-point Model

Model Checking

Data Preparation

Model Quantization and Compilation

Model Performance Analysis

Model Accuracy Analysis

Model Accuracy Tuning

Accuracy Tuning Practice

PTQ Conversion Samples

Release Introduction

Common Algorithm Model Samples

FAQ and Common Failure Resolutions

Post-training Quantization (PTQ) FAQ

Common Failure Resolutions

Appendix

Data Normalization Parameter Configuration

Image Processing Transformer

Quantized Awareness Training (QAT)

Introduction

Terminology

Environmental Dependence

Algorithm Model QAT + Deployment Quick Start

Tutorial

Floating-point Model Requirements

QConfig in Detail

Prepare in Detail

Calibration Tutorial

Quantized Awareness Training Guide

Accuracy Tuning Tool Guide

Quantization Accuracy Tuning Guide

Quantization Accuracy Tuning Practice

Training-Deployment Consistency

Advanced Tutorial

Eager Mode

FX Quantization Principle

API Reference

QAT

quantization.fuse_modules

quantization.fuse_known_modules

fx.fx_helper.wrap

quantization.prepare

qconfig_setter

quantization.qconfig_setter

quantization.qconfig_setter.templates

Model Export

quantization.hbdk4.export

quantization.hbdk4.get_hbir_input_flattener

quantization.hbdk4.get_hbir_output_unflattener

ONNX

Horizon Operator

nn.functional.filter

nn.functional.point_pillars_preprocess

nn.BgrToYuv444

nn.Correlation

nn.PointPillarsScatter

nn.MultiScaleDeformableAttention

FAQ and Common Failure Resolutions

FAQ

Common Failure

Model Performance Tuning Guide

Model Performance Optimization

Efficient Model Design Advice

Unify Compute Platform (UCP)

Vision Process

Performance Indicator

Vision Algorithm

Sample

Basic Image Processing Sample

Image Transformation Sample

Feature Extraction Sample

Optical Flow Sample

Surround View Image Stitching Sample

Video Encoding and Decoding Sample

VP API Introduction

Data Structure

hbVPInterpolationType

Function Interface

Model Inference Development

Model Inference Application Development Guide

Model Inference API Introduction

Model Inference API Overview

Data Type and Data Structure

HB_DNN_TENSOR_MAX_DIMENSIONS

hbDNNTensorProperties

hbDNNTensor

Function Interface

Version Info

Model Loading & Releasing

Dynamic Input Introduction

Configuration Info

Basic Sample User Guide

AI Benchmark User Guide

Model Inference Tool Introduction

Common Operations

The hrt_model_exec Tool

View the Model Information

Model Inference

Model Performance Evaluation

Transmission Optimization

High Performance Library

HPL Introduction

Quickstart

Module Architecture

Performance Indicator

High Performance Algorithm

Overview

Fast Fourier Transform

Inverse Fast Fourier Transform

Fast Fourier Transform 2D

Inverse Fast Fourier Transform 2D

Sample

HPL API Introduction

Data Structure

Functional Interface

UCP Custom Operator

DSP Development

DSP Development Documentation

DSP Development Process

DSP Sample

Instruction

Point Cloud Pre-processing Introduction

Quantization and Dequantization Introduction

SLAM Sample Introduction

Demosaicing Sample Introduction

DSP API Instroduction

Data Structure

Functional Interface

hb_dsp_init_global_tm

Environment Variables

GPU Development Documentation

Object Detection Full Process Sample

UCP Common API Introduction

Overview

Data Structure

Version Information Type

HB_UCP_INITIALIZE_SCHED_PARAM

Functional Interface

UCP Performance Analysis Tools

UCP Trace Instructions

The hrt_ucp_monitor Tool Introduction

FAQ and Error Code

FAQ

Error Code

Function Support Comparison List

Model Deployment Practice Guidance

Model Deployment Principle and Process

Prepare the Floating Point Model

Model Conversion and Compilation

Model Modification

Performance Evaluation and Tuning

Board-side Deployment

Model Deployment Practice Guidance Examples

The Practical Guide to Deploying the ResNet18 Model with RGB Input

The Practical Guide to Deploying the ResNet18 Model with Pyramid Input

The Practical Guide to Deploying Multi-Batch ResNet18 Model with Pyramid Input

The Practical Guide to Deploying the ResNet18 Model with Resizer Input

The Practical Guide to Deploying ResNet18 Model with Dequantize Nodes Removed

Advanced Contents

Horizon Torch Samples

Framework

Tutorials

Config File Introduction

Keywords Introduction

Overriding Config Parameters Using Commands

Registration Mechanism

Config Construction Sample

Quantized Training

Quantized Training Process Introduction

Calibration

QAT Mode

Qconfig Configuration Introduction

Examples

Multi-machine Instructions

MobileNetV1 Classification Model Training

CenterPoint Detection Model Training

Deformable DETR Detection Model Training

FCOS Detection Model Training

FCOS3D Detection Model Training

GaNet Lane Line Detection Model Training

PointPillars Detection Model Training

PointPillars Detection Model Training (No config)

PointPillars Detection Model Training (No config and HAT Trainer)

Car Keypoint Detection Model Training

UNet Segmentation Model Training

StereoNet Binocular Depth Estimation Model Training

DenseTNT Trajectory Prediction Model Training

QCNet Trajectory Prediction Model Training

Occupancy Prediction Model

MapTROE Training

Motr Multiple Object Track Model Training

Bev Multi-task Model Training

lidarMultiTask Model Training

Lidar Fusion MultiTask Model Training

Lidar Fusion Sparse-bev Perception Model

HMCT API Reference

HBDK Tool API Reference

Benchmark of Model Performance

Appendix

Toolchain Operator Support Constraint List

Operator Support List

J6P/H ONNX Operator Support List

J6P/H Torch Operator Support List

J6E/M ONNX Operator Support List

J6E/M Torch Operator Support List

Operator BPU Constraint List

J6P/H ONNX Operator BPU Constraint List

J6P/H Torch Operator BPU Constraint List

J6E/M ONNX Operator BPU Constraint List

J6E/M Torch Operator BPU Constraint List

HBIR Operator Definition

Dataset Download

Common Abbreviations

Community Quality Articles

Common Image Format

OE Development Kit Samples Introduction

License Agreement and Third-party Software Vulnerability Description

J6 Algorithm Toolchain License Agreement

Third-Party Software and License Statement

Third-Party Software Vulnerability Description

>Unify Compute Platform (UCP)>Model Inference Development>Model Inference API Introduction>Data Type and Data Structure>hbDNNHandle_t

hbDNNHandle_t

typedef void *hbDNNHandle_t;

DNN handle, pointing to the single model.

Previous pagehbDNNPackedHandle_t Next pagehbDNNDataType

#hbDNNHandle_t

hbDNNHandle_t