deep4j でプログラムを作成していますが、プログラムを初期化しようとするとライブラリの問題が発生します。以下のJavaコードでライブラリパスを手動で設定したように見えるという事実以外に、ライブラリをロードできないと言っています。
Failed to load for libnd4jcpu: java.lang.UnsatisfiedLinkError: no libnd4jcpu in java.library.path
ライブラリのロード パスを手動で設定しようとしましたが、まだ機能しません。
String libPathProperty = System.getProperty("java.library.path");
System.setProperty("java.library.path", libPathProperty + ":/users/<user>/.javacpp/cache");
System.out.println(System.getProperty("java.library.path"));
System.setProperty("org.bytedeco.javacpp.logger.debug","true");
私の Pom は、https://nd4j.org/getstartedの手順に従っていると思います。以下に掲載しています。
<?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.example.com</groupId>
<version>0.1.0</version>
<name>Example</name>
<url>example.com</url>
<description>Example</description>
<artifactId>Examole</artifactId>
<packaging>jar</packaging>
<organization>
<name>example.com</name>
</organization>
<properties>
<!-- protobuf paths -->
<protobuf.input.directory>${project.basedir}/src/main/java/com/proto</protobuf.input.directory>
<protobuf.output.directory>${project.basedir}/src/main/java</protobuf.output.directory>
<project.build.dir>${project.basedir}/build</project.build.dir>
<!-- library versions -->
<build-helper-maven-plugin.version>1.9.1</build-helper-maven-plugin.version>
<maven-antrun-plugin.version>1.8</maven-antrun-plugin.version>
<maven-dependency-plugin.version>2.10</maven-dependency-plugin.version>
<maven-shade-plugin.version>2.4.2</maven-shade-plugin.version>
<os-maven-plugin.version>1.4.1.Final</os-maven-plugin.version>
<protobuf.version>3.0.0</protobuf.version>
<maven.compiler.source>1.8</maven.compiler.source>
<maven.compiler.target>1.8</maven.compiler.target>
<nd4j.version>0.9.1</nd4j.version>
<arbiter.version>0.9.1</arbiter.version>
<!-- nlp versions -->
<stanfordnlp.version>3.9.1</stanfordnlp.version>
<outputDirectory>/users/example/workspace/examplet/build/classes</outputDirectory>
</properties>
<dependencies>
<!--Standard Packages-->
<dependency>
<groupId>com.google.protobuf</groupId>
<artifactId>protobuf-java</artifactId>
<version>${protobuf.version}</version>
</dependency>
<dependency>
<groupId>com.googlecode.json-simple</groupId>
<artifactId>json-simple</artifactId>
<version>1.1.1</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.11</version>
<scope>test</scope>
</dependency>
<!--NLP Packages-->
<dependency>
<groupId>edu.stanford.nlp</groupId>
<artifactId>stanford-corenlp</artifactId>
<version>${stanfordnlp.version}</version>
</dependency>
<dependency>
<groupId>edu.stanford.nlp</groupId>
<artifactId>stanford-corenlp</artifactId>
<version>${stanfordnlp.version}</version>
<classifier>models</classifier> <!-- will get the dependent model jars -->
</dependency>
<!--ML Packages-->
<dependency>
<groupId>nz.ac.waikato.cms.weka</groupId>
<artifactId>weka-stable</artifactId>
<version>3.8.0</version>
</dependency>
<dependency>
<groupId>nz.ac.waikato.cms.weka</groupId>
<artifactId>LibSVM</artifactId>
<version>1.0.10</version>
</dependency>
<!--DL Packages-->
<dependency>
<groupId>org.deeplearning4j</groupId>
<artifactId>deeplearning4j-nlp</artifactId>
<version>0.9.1</version>
</dependency>
<dependency>
<groupId>org.nd4j</groupId>
<artifactId>nd4j-native-platform</artifactId>
<version>${nd4j.version}</version>
</dependency>
<dependency>
<groupId>org.nd4j</groupId>
<artifactId>nd4j-native</artifactId>
<version>${nd4j.version}</version>
</dependency>
<dependency>
<groupId>org.datavec</groupId>
<artifactId>datavec-api</artifactId>
<version>1.0.0-alpha</version>
</dependency>
<!--BLAS is used as a backend for libnd4j computations-->
<dependency>
<groupId>org.bytedeco.javacpp-presets</groupId>
<artifactId>openblas</artifactId>
<version>0.2.20-1.4.1</version>
</dependency>
<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>javacpp</artifactId>
<version>1.4.1</version>
</dependency>
<!--Tuning Packages-->
<dependency>
<groupId>org.deeplearning4j</groupId>
<artifactId>arbiter-ui_2.11</artifactId>
<version>${arbiter.version}</version>
</dependency>
<dependency>
<groupId>org.deeplearning4j</groupId>
<artifactId>arbiter-deeplearning4j</artifactId>
<version>${arbiter.version}</version>
</dependency>
<!--Logging Packages-->
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-jdk14</artifactId>
<version>1.7.25</version>
</dependency>
</dependencies>
<build>
<extensions>
<!-- provides os.detected.classifier (i.e. linux-x86_64, osx-x86_64) property -->
<extension>
<groupId>kr.motd.maven</groupId>
<artifactId>os-maven-plugin</artifactId>
<version>${os-maven-plugin.version}</version>
</extension>
</extensions>
<directory>${project.build.dir}/classes</directory>
<outputDirectory>${outputDirectory}</outputDirectory>
<plugins>
<!-- copy protoc binary into build directory -->
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-dependency-plugin</artifactId>
<version>${maven-dependency-plugin.version}</version>
<executions>
<execution>
<id>copy-protoc</id>
<phase>generate-sources</phase>
<goals>
<goal>copy</goal>
</goals>
<configuration>
<artifactItems>
<artifactItem>
<groupId>com.google.protobuf</groupId>
<artifactId>protoc</artifactId>
<version>${protobuf.version}</version>
<classifier>${os.detected.classifier}</classifier>
<type>exe</type>
<overWrite>true</overWrite>
<outputDirectory>${project.build.dir}</outputDirectory>
</artifactItem>
</artifactItems>
</configuration>
</execution>
</executions>
</plugin>
<!-- compile proto file into java files. -->
<plugin>
<groupId>com.github.os72</groupId>
<artifactId>protoc-jar-maven-plugin</artifactId>
<version>3.5.1.1</version>
<executions>
<execution>
<phase>generate-sources</phase>
<goals>
<goal>run</goal>
</goals>
<configuration>
<!-- <includeDirectories> <include>src/main/protobuf</include> </includeDirectories> -->
<inputDirectories>
<include>src/main/protobuf</include>
</inputDirectories>
<!-- Create java files. And put them in the src/main/java directory. -->
<outputTargets>
<outputTarget>
<type>java</type>
<outputDirectory>src/main/java</outputDirectory>
</outputTarget>
</outputTargets>
</configuration>
</execution>
</executions>
</plugin>
<!--compile proto buffer files using copied protoc binary-->
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-antrun-plugin</artifactId>
<version>${maven-antrun-plugin.version}</version>
<executions>
<execution>
<id>exec-protoc</id>
<phase>generate-sources</phase>
<configuration>
<target>
<property name="protoc.filename" value="protoc-${protobuf.version}-${os.detected.classifier}.exe"/>
<property name="protoc.filepath" value="${project.build.dir}/${protoc.filename}"/>
<chmod file="${protoc.filepath}" perm="ugo+rx"/>
<mkdir dir="${protobuf.output.directory}" />
<path id="protobuf.input.filepaths.path">
<fileset dir="${protobuf.input.directory}">
<include name="**/*.proto"/>
</fileset>
</path>
<pathconvert pathsep=" " property="protobuf.input.filepaths" refid="protobuf.input.filepaths.path"/>
<exec executable="${protoc.filepath}" failonerror="true">
<arg value="-I"/>
<arg value="${protobuf.input.directory}"/>
<arg value="--java_out"/>
<arg value="${protobuf.output.directory}"/>
<arg line="${protobuf.input.filepaths}"/>
</exec>
</target>
</configuration>
<goals>
<goal>run</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.xolstice.maven.plugins</groupId>
<artifactId>protobuf-maven-plugin</artifactId>
<version>0.5.0</version>
<configuration>
<protocExecutable>/usr/local/bin/protoc</protocExecutable>
</configuration>
<executions>
<execution>
<goals>
<goal>compile</goal>
<goal>test-compile</goal>
</goals>
</execution>
</executions>
</plugin>
<!--<plugin>-->
<!--<groupId>org.apache.maven.plugins</groupId>-->
<!--<artifactId>maven-shade-plugin</artifactId>-->
<!--<version>2.1</version>-->
<!--<executions>-->
<!--<execution>-->
<!--<phase>package</phase>-->
<!--<goals>-->
<!--<goal>shade</goal>-->
<!--</goals>-->
<!--<configuration>-->
<!--<transformers>-->
<!--<transformer-->
<!--implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">-->
<!--<mainClass>main.java.com.chatbot.Main</mainClass>-->
<!--</transformer>-->
<!--</transformers>-->
<!--</configuration>-->
<!--</execution>-->
<!--</executions>-->
<!--</plugin>-->
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>exec-maven-plugin</artifactId>
<version>1.2.1</version>
<configuration>
<mainClass>com.chatbot.Main</mainClass>
</configuration>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>${maven-shade-plugin.version}</version>
<configuration>
<shadedArtifactAttached>true</shadedArtifactAttached>
<shadedClassifierName>${shadedClassifier}</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>
しかし、ライブラリをロードしないというエラーが発生し続けます。現在の私の出力は次のとおりです。
> Loading class org.nd4j.nativeblas.Nd4jCpu
> Loading class org.nd4j.nativeblas.Nd4jCpu
> Loading library libnd4jcpu
> Failed to load for libnd4jcpu: java.lang.UnsatisfiedLinkError: no libnd4jcpu in java.library.path
> Loading /users/example/.javacpp/cache/nd4j-native-0.9.1-macosx-x86_64.jar/org/nd4j/nativeblas/macosx-x86_64/libnd4jcpu.dylib
> Loading /users/example/.javacpp/cache/nd4j-native-0.9.1-macosx-x86_64.jar/org/nd4j/nativeblas/macosx-x86_64/libjnind4jcpu.dylib
> Loading library libnd4jcpu
> Failed to load for libnd4jcpu: java.lang.UnsatisfiedLinkError: no libnd4jcpu in java.library.path
> Loading class org.bytedeco.javacpp.openblas
> Loading class org.bytedeco.javacpp.openblas
> Loading library iomp5
> Failed to load for iomp5: java.lang.UnsatisfiedLinkError: no iomp5 in java.library.path
> Loading library mkl_core
> Failed to load for mkl_core: java.lang.UnsatisfiedLinkError: no mkl_core in java.library.path
> Loading library mkl_avx
> Failed to load for mkl_avx: java.lang.UnsatisfiedLinkError: no mkl_avx in java.library.path
> Loading library mkl_avx2
> Failed to load for mkl_avx2: java.lang.UnsatisfiedLinkError: no mkl_avx2 in java.library.path ....
libnd4jcpu が存在することがわかるので、何が問題なのかわかりません。
コンピューター: Macbook 2015 : GPU なし
更新https://github.com/deeplearning4j/dl4j-examples/blob/master/dl4j-examples/src/main/java/org/deeplearning4j/examples/feedforward/classification/MLPClassifierLinear.javaからサンプル MDPClassifer コードを実行しました。彼らが持っていた pom.xml ファイルを使用しました。私は同じ問題を抱えていました