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NVIDIA TensorRT

  • Documentation Home
NVIDIA TensorRT - Home NVIDIA TensorRT - Home

NVIDIA TensorRT

  • Documentation Home

Table of Contents

Getting Started

  • Release Notes
    • 10.12.0 (Latest)
    • 10.11.0
    • 10.10.0
    • 10.9.0
    • 10.8.0
    • 10.7.0
    • 10.6.0
    • 10.5.0
    • 10.4.0
    • 10.3.0
    • 10.2.0
    • 10.1.0
    • 10.0.1
    • 10.0.0 Early Access
  • Quick Start Guide
  • Support Matrix
    • 10.12.0 (Latest)
    • 10.11.0
    • 10.10.0
    • 10.9.0
    • 10.8.0
    • 10.7.0
    • 10.6.0
    • 10.5.0
    • 10.4.0
    • 10.3.0
    • 10.2.0
    • 10.1.0
    • 10.0.1
    • 10.0.0 Early Access

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
  • LICENSE AGREEMENT
  • Glossary
  • Polygraphy API
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Polygraphy API#

Polygraphy is a toolkit designed to assist in running and debugging deep learning models in various frameworks.

Interface - Polygraphy API

GitHub - TensorRT > tools > Polygraphy

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ONNX GraphSurgeon API

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Troubleshooting

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Last updated on Jan 23, 2026.