Build TensorRT Engine MSI Installation Procedure

Build TensorRT Engine MSI Installation Procedure: A Comprehensive Guide

In this article, we will discuss the step-by-step procedure to build the TensorRT engine MSI installation package using the CPack toolset along with WiX toolset. TensorRT is a high-performance deep learning inference optimizer and runtime library for production deployment of AI applications. The article will cover key concepts, applications, and significance of TensorRT, along with detailed context on the installation procedure.

What is TensorRT?

TensorRT is a platform for high-performance deep learning inference. It optimizes deep learning models through int8 calibration, tensor optimization, and graph optimization to provide inference at scale. TensorRT supports a wide range of neural networks and frameworks, including TensorFlow, PyTorch, and ONNX. It is widely used in applications such as autonomous vehicles, video streaming, and gaming.

Why Build TensorRT Engine MSI Installation Package?

Building the TensorRT engine MSI installation package provides several benefits, including:

• Customization: Building the MSI installation package allows for customization of the installation process, including the ability to add or remove components and specify installation directories.
• Security: Building the MSI installation package ensures that the TensorRT engine is installed securely and with the necessary considerations for product security.
• Integration: Building the MSI installation package enables seamless integration with other software applications and systems.

Prerequisites

Before building the TensorRT engine MSI installation package, the following prerequisites must be met:

• Visual Studio 2017 or later
• WiX toolset
• CPack toolset
• TensorRT SDK

Building TensorRT Engine MSI Installation Package

To build the TensorRT engine MSI installation package, follow the steps below:

1. Open the TensorRT SDK solution in Visual Studio.
2. Configure the solution for x64 platform and Release mode.
3. Build the solution to generate the TensorRT engine library.
4. Create a new WiX project in Visual Studio.
5. Add the necessary WiX components, including Product.wxs, Fragment.wxs, and ComponentGroup.wxs.
6. Modify the Product.wxs file to include the necessary product information, such as product name, version, and manufacturer.
7. Modify the Fragment.wxs file to include the necessary component information, such as file name, file version, and installation directory.
8. Modify the ComponentGroup.wxs file to include the necessary component groups, such as the TensorRT engine library and headers.
9. Add a post-build event to the WiX project to generate the MSI installation package using the following command:

This will generate the TensorRT engine MSI installation package in the bin\Release directory.

Applications of TensorRT

TensorRT is widely used in various applications, including:

• Autonomous vehicles: TensorRT enables high-performance deep learning inference for autonomous vehicles, enabling real-time object detection and classification.
• Video streaming: TensorRT optimizes deep learning models for video streaming, enabling real-time video analysis and recommendation.
• Gaming: TensorRT enhances gaming experiences by optimizing deep learning models for real-time rendering and physics simulation.

Significance of TensorRT

TensorRT is significant for several reasons, including:

• Performance: TensorRT provides high-performance deep learning inference, enabling real-time applications.
• Scalability: TensorRT supports a wide range of neural networks and frameworks, enabling scalability and flexibility in deep learning applications.
• Security: TensorRT provides necessary considerations for product security, ensuring secure deployment of AI applications.

In this article, we discussed the step-by-step procedure to build the TensorRT engine MSI installation package using the CPack toolset along with WiX toolset. We covered key concepts, applications, and significance of TensorRT, along with detailed context on the installation procedure. Building the TensorRT engine MSI installation package provides several benefits, including customization, security, and integration.

References

• TensorRT Developer Guide
• WiX Toolset
• CPack Documentation