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NVIDIA TensorRT Documentation

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NVIDIA TensorRT Documentation - Home

NVIDIA TensorRT Documentation
  • Documentation Home

Table of Contents

Getting Started

  • Release Notes
  • Quick Start Guide
  • Support Matrix

Installing TensorRT

  • Overview
  • Prerequisites
  • Installing TensorRT
  • Upgrading TensorRT
  • Uninstalling TensorRT

Architecture

  • Overview
  • TensorRT’s Capabilities
  • How TensorRT Works

Inference Library

  • C++ API Documentation
  • Python API Documentation
  • Sample Support Guide
  • Advanced Topics
  • Working with Quantized Types
  • Accuracy Considerations
  • Working with Dynamic Shapes
  • Extending TensorRT with Custom Layers
  • Working with Loops
  • Working with Conditionals
  • Working with DLA

Performance

  • Best Practices

API

  • C++ API
  • Python API
  • API Migration Guide
  • ONNX GraphSurgeon API
  • Polygraphy API

Reference

  • Troubleshooting
  • Data Format Descriptions
  • Command-Line Programs
  • Operators Documentation
  • Additional Resources
  • Documentation Archvies
  • LICENSE AGREEMENT
  • Glossary
  • ONNX...

ONNX GraphSurgeon API#

ONNX GraphSurgeon provides a convenient way to create and modify ONNX models.

Interface - ONNX GraphSurgeon API

GitHub - TensorRT > tools > onnx-graphsurgeon

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API Migration Guide

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Polygraphy API
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Last updated on Mar 30, 2025.