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OpenVINO 2022.1 introduces a new version of OpenVINO API (API 2.0). For more information on the changes and transition steps, see the transition guide

Converting and Preparing Models

Convert model with Model Optimizer

Deploying Inference

Performing inference with OpenVINO Runtime
Transition to OpenVINO™ API 2.0
Deploy with OpenVINO
- Deployment Manager
- Local distribution
Compile Tool

Tuning for Performance

Introduction to Performance Optimization
Getting Performance Numbers
Model Optimization Guide
Runtime Inference Optimizations
Tuning Utilities
- Cross Check Tool
Performance Benchmarks
- Intel® Distribution of OpenVINO™ toolkit Benchmark Results
- OpenVINO™ Model Server Benchmark Results

Graphical Web Interface for OpenVINO™ toolkit

OpenVINO™ Deep Learning Workbench Overview
Installation
Get Started
Tutorials
User Guide
Troubleshooting
- Troubleshooting for DL Workbench in the Intel® DevCloud for the Edge

Media Processing and Computer Vision Libraries

Intel® Deep Learning Streamer
Introduction to OpenCV Graph API (G-API)
OpenCV* Developer Guide
OpenCL™ Developer Guide

Add-Ons

OpenVINO™ Security Add-on

OpenVINO Extensibility

OpenVINO Extensibility Mechanism
Overview of Transformations API
OpenVINO Plugin Developer Guide

Use OpenVINO™ Toolkit Securely

Introduction to OpenVINO™ Security
Deep Learning Workbench Security
Using Encrypted Models with OpenVINO™
OpenVINO™ Security Add-on

.pdf .zip

Step 4. Cleanup Transformations¶

FoldConvertTransformation
FoldFakeQuantizeTransformation
FuseConvertTransformation
FuseMultiplyToFakeQuantizeTransformation
FuseSubtractToFakeQuantizeTransformation
MultiplyToGroupConvolutionTransformation

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