mvn-project-template/pom.xml

<?xml version="1.0" encoding="UTF-8"?>
<!--
  ~
  ~ This program and the accompanying materials are made available under the
  ~  terms of the Apache License, Version 2.0 which is available at
  ~  https://www.apache.org/licenses/LICENSE-2.0.
See the NOTICE file distributed with this work for additional
information regarding copyright ownership.
  ~
  ~   See the NOTICE file distributed with this work for additional
  ~   information regarding copyright ownership.
  ~  Unless required by applicable law or agreed to in writing, software
  ~  distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  ~  WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
  ~  License for the specific language governing permissions and limitations
  ~  under the License.
  ~
  ~  SPDX-License-Identifier: Apache-2.0
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  ~
  -->

<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>

    <!-- Group-ID, artifact ID and version of the project. You can modify these as you want -->
    <groupId>org.deeplearning4j</groupId>
    <artifactId>deeplearning4j-example-sample</artifactId>
    <version>1.0.0-M2</version>

    <!-- Properties Section. Change ND4J versions here, if required -->
    <properties>
        <dl4j-master.version>1.0.0-M2.1</dl4j-master.version>
        <logback.version>1.2.3</logback.version>
        <java.version>1.8</java.version>
        <maven-shade-plugin.version>2.4.3</maven-shade-plugin.version>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    </properties>


    <dependencies>
        <!-- deeplearning4j-core: contains main functionality and neural networks -->
        <dependency>
            <groupId>org.deeplearning4j</groupId>
            <artifactId>deeplearning4j-core</artifactId>
            <version>${dl4j-master.version}</version>
        </dependency>

        <!--
        ND4J backend: every project needs one of these. The backend defines the hardware on which network training
        will occur. "nd4j-native-platform" is for CPUs only (for running on all operating systems).
        -->
        <dependency>
            <groupId>org.nd4j</groupId>
            <artifactId>nd4j-native</artifactId>
            <version>${dl4j-master.version}</version>
        </dependency>

        <!-- CUDA: to use GPU for training (CUDA) instead of CPU, uncomment this, and remove nd4j-native-platform -->
        <!-- Requires CUDA to be installed to use. Change the version (8.0, 9.0, 9.1) to change the CUDA version -->


        <!-- Optional, but recommended: if you use CUDA, also use CuDNN. To use this, CuDNN must also be installed -->
        <!-- See: https://deeplearning4j.konduit.ai/config/backends/config-cudnn#using-deeplearning-4-j-with-cudnn -->


        <dependency>
            <groupId>ch.qos.logback</groupId>
            <artifactId>logback-classic</artifactId>
            <version>${logback.version}</version>
        </dependency>
    </dependencies>


    <build>
        <plugins>
            <!-- Maven compiler plugin: compile for Java 8 -->
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>3.5.1</version>
                <configuration>
                    <source>${java.version}</source>
                    <target>${java.version}</target>
                </configuration>
            </plugin>


            <!--
            Maven shade plugin configuration: this is required so that if you build a single JAR file (an "uber-jar")
            it will contain all the required native libraries, and the backends will work correctly.
            Used for example when running the following commants

            mvn package
            cd target
            java -cp deeplearning4j-examples-1.0.0-beta-bin.jar org.deeplearning4j.LenetMnistExample
            -->
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-shade-plugin</artifactId>
                <version>${maven-shade-plugin.version}</version>
                <configuration>
                    <shadedArtifactAttached>true</shadedArtifactAttached>
                    <shadedClassifierName>bin</shadedClassifierName>
                    <createDependencyReducedPom>true</createDependencyReducedPom>
                    <filters>
                        <filter>
                            <artifact>*:*</artifact>
                            <excludes>
                                <exclude>org/datanucleus/**</exclude>
                                <exclude>META-INF/*.SF</exclude>
                                <exclude>META-INF/*.DSA</exclude>
                                <exclude>META-INF/*.RSA</exclude>
                            </excludes>
                        </filter>
                    </filters>
                </configuration>

                <executions>
                    <execution>
                        <phase>package</phase>
                        <goals>
                            <goal>shade</goal>
                        </goals>
                        <configuration>
                            <transformers>
                                <transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
                                    <resource>reference.conf</resource>
                                </transformer>
                                <transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/>
                                <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
                                </transformer>
                            </transformers>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>

</project>