DL4J UnsatisfiedLinkError:java.library.path中没有jniopenblas

时间:2017-12-27 11:37:34

标签: java unsatisfiedlinkerror openblas dl4j

我尝试通过gradle设置了deeplearning4j项目,但是我得到了一个UnsatisfiedLinkError:

Exception in thread "main" java.lang.UnsatisfiedLinkError: no jniopenblas in java.library.path
    at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1867)
    at java.lang.Runtime.loadLibrary0(Runtime.java:870)
    at java.lang.System.loadLibrary(System.java:1122)
    at org.bytedeco.javacpp.Loader.loadLibrary(Loader.java:976)
    at org.bytedeco.javacpp.Loader.load(Loader.java:777)
    at org.bytedeco.javacpp.Loader.load(Loader.java:684)
    at org.bytedeco.javacpp.openblas.<clinit>(openblas.java:10)
    at org.nd4j.linalg.cpu.nativecpu.blas.CpuBlas.setMaxThreads(CpuBlas.java:117)
    at org.nd4j.nativeblas.Nd4jBlas.<init>(Nd4jBlas.java:35)
    at org.nd4j.linalg.cpu.nativecpu.blas.CpuBlas.<init>(CpuBlas.java:12)
    at org.nd4j.linalg.cpu.nativecpu.CpuNDArrayFactory.createBlas(CpuNDArrayFactory.java:89)
    at org.nd4j.linalg.factory.BaseNDArrayFactory.blas(BaseNDArrayFactory.java:67)
    at org.nd4j.linalg.cpu.nativecpu.ops.NativeOpExecutioner.getEnvironmentInformation(NativeOpExecutioner.java:1176)
    at org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner.printEnvironmentInformation(DefaultOpExecutioner.java:562)
    at org.nd4j.linalg.factory.Nd4j.initWithBackend(Nd4j.java:6210)
    at org.nd4j.linalg.factory.Nd4j.initContext(Nd4j.java:6087)
    at org.nd4j.linalg.factory.Nd4j.<clinit>(Nd4j.java:201)
    at org.deeplearning4j.nn.conf.NeuralNetConfiguration$Builder.seed(NeuralNetConfiguration.java:777)
    at my.project.NeuralNetwork.main(NeuralNetwork.java:43)
Caused by: java.lang.UnsatisfiedLinkError: no openblas in java.library.path
    at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1867)
    at java.lang.Runtime.loadLibrary0(Runtime.java:870)
    at java.lang.System.loadLibrary(System.java:1122)
    at org.bytedeco.javacpp.Loader.loadLibrary(Loader.java:976)
    at org.bytedeco.javacpp.Loader.load(Loader.java:765)
    ... 14 more

我的依赖关系看起来像:

dependencies {
    compile group: 'org.deeplearning4j', name: 'deeplearning4j-core', version: '0.9.1'
    compile group: 'org.deeplearning4j', name: 'rl4j', version: '0.9.1'
    compile group: 'org.nd4j', name: 'nd4j-native', version: '0.9.1'
    compile group: 'org.nd4j', name: 'nd4j-jblas', version: '0.9.1'
    compile group: 'org.nd4j', name: 'nd4j-api', version: '0.9.1'
    compile 'org.nd4j:nd4j-native:0.9.1:windows-x86_64'
}

我也尝试添加

compile group: 'org.bytedeco.javacpp-presets', name: 'openblas', version: '0.2.20-1.3'

但这没有帮助。

我需要安装OpenBlas吗?我没有在Quick Start Guide for deeplearning4j中读过这样的话。操作系统是Win10,IDE是IntelliJ社区版。

3 个答案:

答案 0 :(得分:1)

nd4j-jblas甚至不是有效的maven依赖。你到底从哪里得到的?

我们的文档中没有任何地方的nd4j-jblas,现在已经存在了近2年。坚持我们的入门文档: http://deeplearning4j.org/quickstart

我们在那里解释你需要什么。而不是弄乱所有分类器只是使用: 用于工件ID的nd4j-native-platform。

答案 1 :(得分:1)

我将这些依赖项添加到我的POM.xml文件中,它正在运行。

<dependency>
    <groupId>org.bytedeco.javacpp-presets</groupId>
    <artifactId>openblas</artifactId>
    <version>0.2.20-1.4</version>
</dependency>

<dependency>
    <groupId>org.bytedeco.javacpp-presets</groupId>
    <artifactId>openblas-platform</artifactId>
    <version>0.2.20-1.4</version>
</dependency>

答案 2 :(得分:0)

根据文件https://deeplearning4j.org/quickstart

如果您在Windows计算机上使用64位Java,则必须将以下内容添加为VM参数(运行 - &gt;编辑配置 - &gt; IntelliJ中的VM选项):

-Djava.library.path = “”