How To Install Java Artifact ai.djl.pytorch.pytorch-native-cpu-precxx11 v1.13.1

Introduction

In this article, we'll learn how to install Java artifact pytorch-native-cpu-precxx11 from ai.djl.pytorch group in version 1.13.1. The artifact is available in 19 versions: 2.3.0 2.2.2 2.1.2 2.1.1 2.0.1 2.0.0 1.13.1 1.13.0 1.12.1 1.11.0 1.10.0 1.9.1 1.9.0 1.8.1 1.7.1 1.7.0 1.6.0 1.5.0-post0 1.5.0 . The DJL release for PyTorch native binaries project has been released under The Apache License, Version 2.0 license, and has its own website at: http://www.djl.ai/engines/pytorch/pytorch-native .

How To Install Java Artifact ai.djl.pytorch.pytorch-native-cpu-precxx11 In Version 1.13.1

To install the DJL release for PyTorch native binaries artifact in version 1.13.1 add the following dependency to your pom.xml file for Maven Project.

<dependency> <groupId>ai.djl.pytorch</groupId> <artifactId>pytorch-native-cpu-precxx11</artifactId> <version>1.13.1</version> </dependency>

The dependency needs to be added in the dependencies section which is located in the main project tag of the pom.xml file. The sample pom.xml file that uses DJL release for PyTorch native binaries dependency could look as follows:

<?xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>com.frontbackend</groupId> <artifactId>maven-repository</artifactId> <version>1.0-SNAPSHOT</version> <dependencies> <dependency> <groupId>ai.djl.pytorch</groupId> <artifactId>pytorch-native-cpu-precxx11</artifactId> <version>1.13.1</version> </dependency> </dependencies> </project>

Other dependency snippets for Gradle, SBT, Ivy, Grape, Leiningen, and Buildr

Below you can find code snippets for other project build tools like Gradle, SBT, Ivy, Grape, Leiningen, and Buildr.

• Gradle
• SBT
• Ivy
• Grape
• Leiningen
• Buildr