Qualcomm® AI Engine Direct
v2.39.0
  • Introduction
  • Overview
  • Setup
  • Backend
  • Op Packages
  • Tools
  • Converters
  • Quantization
  • QAIRT Quantization Specification
  • Tutorials
    • Getting Started
      • Tutorial: Converting and executing a CNN model with QNN
      • How to Use the Sample App
      • Sample App Tutorial
      • Saver Tutorial: Save execution sequence with Saver and replay on a backend
    • Advanced
      • QNN HTP Shared Buffer Tutorial
    • Custom Operators
      • Tutorial: Executing a shallow model using custom op package
    • Windows
      • Windows Hibernation Tutorial
      • ARM64X Tutorial
      • Windows HTP Library Loading Tutorial
      • Windows Error Reporting
    • Migrating
      • Migrating from Hexagon-nn
    • LoRA (Low Rank Adaptation)
  • Benchmarking
  • Operations
  • API
  • Glossary
  • QNN TFLite Delegate
  • Revision History
Qualcomm® AI Engine Direct
  • »
  • Tutorials

Tutorials¶

This section contains helpful tutorials that assist users to become familiar with the Qualcomm® AI Engine Direct workflow, and to be able to interact with Qualcomm® AI Engine Direct API and tools to enable their deep learning based use-cases.

Getting Started¶

  • Tutorial: Executing your model on your target device

  • Using the Sample App: Compile and run an app that uses your model

  • Writing Your Own Sample App Tutorial: Create your own C++ application

  • Saver Tutorial: Save execution sequence with Saver and replay on a backend

Advanced¶

  • QNN HTP Shared Buffer Tutorial

  • Executing with DLCs

Custom Operators¶

  • Executing a shallow model using custom op package

  • Converting and executing a CNN model with custom operations

Windows¶

  • Windows Hibernation Tutorial

  • ARM64X Tutorial

  • Windows HTP Library Loading Tutorial

  • Windows Error Reporting

Migrating¶

  • Migrating from Hexagon-nn to QNN

LoRA (Low Rank Adaptation)¶

  • LoRA Introduction

  • LoRA v2

  • LoRA v3

    • LoRA v3 Optimizations

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