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trt-cpp-runtime-quickstart

Official

Quickly load and run TensorRT engines with modern C++ Runtime API.

Software Engineering#deployment#runtime#cpp#inference#tensorrt
AuthorNVIDIA
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill unit solves the problem of loading and running TensorRT engines from C++ without using deprecated APIs, providing a minimal and modern approach to C++ deployment.

Core Features & Use Cases

  • Modern Runtime API: Utilizes the latest TensorRT 11/10.x Runtime API for efficient engine deployment.
  • Minimal Example: Provides a clean, minimal example for quick deployment harness creation.
  • Dynamic Shape Handling: Offers guidance on handling dynamic shapes in inference.

Quick Start

Run the TensorRT engine 'model.engine' with the command: ./run model.engine

Dependency Matrix

Required Modules

None required

Components

scripts

💻 Claude Code Installation

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Please help me install this Skill:
Name: trt-cpp-runtime-quickstart
Download link: https://github.com/NVIDIA/TensorRT/archive/main.zip#trt-cpp-runtime-quickstart

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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