Troubleshooting

This guide helps you diagnose and resolve common issues when working with TensorRT. It provides solutions to frequently encountered problems, explains error messages, and offers strategies for debugging TensorRT applications.

What You Will Learn

• Frequently Asked Questions (FAQs) - Quick answers to common questions about engine building, deployment, and performance

• Understanding Error Messages - Explanations of common error messages and how to resolve them

• Reporting Issues - How to gather diagnostic information and report bugs effectively

How to Use This Guide

1. Start with FAQs - Check if your question has already been answered

2. Search for Error Messages - Use Ctrl+F to find specific error messages you’re encountering

3. Follow Systematic Debugging - Use the debugging strategies provided for complex issues

4. Gather Diagnostics - Collect necessary information before reporting issues

Getting Additional Help

If this guide doesn’t resolve your issue:

• Post questions on the NVIDIA Developer Forum with the tensorrt tag

• Open an issue on the TensorRT GitHub repository

• Contact your NVIDIA support engineer if you have enterprise support

• FAQs
• Understanding Error Messages
• Code Analysis Tools
  • Compiler Sanitizers
  • Valgrind
  • Compute Sanitizer
• Understanding Formats Printed in Logs
• Reporting TensorRT Issues
  • Channels for TensorRT Issue Reporting
  • Reporting a Functional Issue
  • Reporting an Accuracy Issue
  • Reporting a Performance Issue