OpenVINO Toolkit

Converting and Preparing Models
- Model Optimizer Developer Guide
  - Model Optimizer Developer Guide
  - Preparing and Optimizing Your Trained Model
  - Model Optimizer Frequently Asked Questions
  - Known Issues
- Model Downloader
- Custom Operations Guide
  - Custom Operations Guide
Intermediate Representation and Operations Sets
- Intermediate Representation and Operations Sets
- Available Operations Sets
- Operations Specifications
Deploying Inference
- Deploying Inference
- Inference Engine Developer Guide
  - Inference Engine Developer Guide
  - Inference Engine API Changes History
  - Inference Engine Memory primitives
  - Inference Engine Device Query API
  - Inference Engine Extensibility Mechanism
  - Integrate the Inference Engine with Your Application
  - [DEPRECATED] Migration from Inference Engine Plugin API to Core API
  - Introduction to Performance Topics
  - Inference Engine Python* API Overview
  - Read an ONNX model
  - [DEPRECATED] Import an ONNX model
  - Using Dynamic Batching Feature
  - Using Static Shape Infer Feature
  - Using GPU kernels tuning
  - Using Bfloat16 Inference
    - Using Bfloat16 Inference
  - Using Low-Precision 8-bit Integer Inference
    - Using Low-Precision 8-bit Integer Inference
  - Utilities to Validate Your Converted Model
    - Utilities to Validate Your Converted Model
    - Using Cross Check Tool for Per-Layer Comparison Between Plugins
  - Introduction to OpenVINO state API
  - Supported Devices
    - Supported Devices
    - GPU Plugin
      - GPU Plugin
      - RemoteBlob API of GPU Plugin
    - CPU Plugin
    - [DEPRECATED] FPGA Plugin
    - VPU Plugins
    - Heterogeneous Plugin
    - Multi-Device Plugin
    - GNA Plugin
  - Known Issues
  - Glossary
- nGraph Developer Guide
- Deployment Manager Guide
- Compile Tool
- API References
- Inference Engine Plugin Development Guide

OpenVINO Toolkit

Docs »
Converting a Model to Intermediate Representation (IR) »
Preparing and Optimizing Your Trained Model »
Model Optimizer Developer Guide »
Converting and Preparing Models »
Sub-graph Replacement in Model Optimizer

Sub-Graph Replacement in the Model Optimizer

The document has been deprecated. Refer to the Model Optimizer Extensibility for the up-to-date documentation.

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