NVIDIA Deep Learning TensorRT Documentation - Last updated February 26, 2024
NVIDIA TensorRT
- Release Notes
- This document describes the key features, software enhancements and improvements, and known issues.
- Installation Guide
- This document provides the installation requirements, a list of what is included in the TensorRT package, and step-by-step instructions for installing TensorRT.
Inference Library
- Developer Guide
- This document demonstrates how to use the C++ and Python APIs for implementing the most common deep learning layers.
- API Reference
- This is the API documentation for the NVIDIA TensorRT library.
- Best Practices
- This document lists the recommendations and best practices for TensorRT usage.
- Sample Support Guide
- This document provides an overview of all the supported NVIDIA TensorRT samples included on GitHub and in the product package. The TensorRT samples specifically help in areas such as recommenders, machine comprehension, character recognition, image classification, and object detection.
Reference
- Support Matrix
- This document provides a look into the supported platforms, features, and hardware capabilities of the NVIDIA TensorRT APIs, parsers, and layers.
Licenses
- LICENSE AGREEMENT FOR NVIDIA SOFTWARE DEVELOPMENT KITS
- This document is the LICENSE AGREEMENT FOR NVIDIA SOFTWARE DEVELOPMENT KITS for NVIDIA TensorRT. This document contains specific license terms and conditions for NVIDIA TensorRT. By accepting this agreement, you agree to comply with all the terms and conditions applicable to the specific product(s) included herein.