How To Install Java Artifact ai.djl.pytorch.pytorch-jni v1.12.1-0.19.0

ai.djl.pytorch pytorch-jni 1.12.1-0.19.0

Introduction

In this article, we'll learn how to install Java artifact pytorch-jni from ai.djl.pytorch group in version 1.12.1-0.19.0. The artifact is available in 46 versions: 2.1.1-0.27.0 2.1.1-0.26.0 2.0.1-0.26.0 2.0.1-0.25.0 2.0.1-0.24.0 2.0.1-0.23.0 2.0.0-0.22.1 2.0.0-0.22.0 1.13.1-0.27.0 1.13.1-0.26.0 1.13.1-0.25.0 1.13.1-0.24.0 1.13.1-0.23.0 1.13.1-0.22.1 1.13.1-0.22.0 1.13.1-0.21.0 1.13.0-0.20.0 1.12.1-0.25.0 1.12.1-0.24.0 1.12.1-0.23.0 1.12.1-0.22.1 1.12.1-0.22.0 1.12.1-0.21.0 1.12.1-0.20.0 1.12.1-0.19.0 1.11.0-0.25.0 1.11.0-0.24.0 1.11.0-0.23.0 1.11.0-0.22.1 1.11.0-0.22.0 1.11.0-0.21.0 1.11.0-0.20.0 1.11.0-0.19.0 1.11.0-0.18.0 1.11.0-0.17.0 1.10.0-0.19.0 1.10.0-0.18.0 1.10.0-0.17.0 1.10.0-0.16.0 1.10.0-0.15.0 1.9.1-0.18.0 1.9.1-0.17.0 1.9.1-0.16.0 1.9.1-0.15.0 1.8.1-0.16.0 1.8.1-0.15.0 . The DJL Engine Adapter for PyTorch 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-jni .

How To Install Java Artifact ai.djl.pytorch.pytorch-jni In Version 1.12.1-0.19.0

To install the DJL Engine Adapter for PyTorch artifact in version 1.12.1-0.19.0 add the following dependency to your pom.xml file for Maven Project.

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 Engine Adapter for PyTorch dependency could look as follows:

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.

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