# "no jnind4jcpu in java.library.path" when using Linux

**URL:** <https://community.konduit.ai/t/no-jnind4jcpu-in-java-library-path-when-using-linux/1947>\
**Category:** DL4J\
**Created:** [August 10, 2022, 9:46am UTC](https://community.konduit.ai/t/no-jnind4jcpu-in-java-library-path-when-using-linux/1947 "2022-08-10T09:46:56Z")\
**Posts on this page:** 4\
**Page:** 1

<div class="post-metadata">

**Author:** ![Joehot200](https://yyz1.discourse-cdn.com/flex035/user_avatar/community.konduit.ai/joehot200/32/688_2.png) [@Joehot200](https://community.konduit.ai/u/Joehot200)\
**Post date:** [August 10, 2022, 9:46am UTC](https://community.konduit.ai/t/no-jnind4jcpu-in-java-library-path-when-using-linux/1947/1 "2022-08-10T09:46:56Z")

</div>

I am attempting to build an uberjar of dl4j libraries for individual operating systems, using the following POM file:

```auto
<?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>joehot200</groupId>
    <artifactId>AntiAuraML-64</artifactId>
    <version>2.0</version>

    <properties>
        <dl4j.version>1.0.0-M2</dl4j.version>
        <fully.qualified.main.class>main.java.KillauraML</fully.qualified.main.class>
        <maven.compiler.source>8</maven.compiler.source>
        <maven.compiler.target>8</maven.compiler.target>

    </properties>

    <dependencies>
        <dependency>
            <groupId>org.deeplearning4j</groupId>
            <artifactId>deeplearning4j-nn</artifactId>
            <version>${dl4j.version}</version>
            <!--<exclusions>
                <exclusion>
                    <groupId>*</groupId>
                    <artifactId>*</artifactId>
                </exclusion>
            </exclusions>-->
        </dependency>
        <dependency>
            <groupId>org.deeplearning4j</groupId>
            <artifactId>deeplearning4j-modelimport</artifactId>
            <version>${dl4j.version}</version>
        </dependency>
        <dependency>
            <groupId>org.nd4j</groupId>
            <artifactId>nd4j-native</artifactId>
            <version>1.0.0-M2</version>
        </dependency>
        <dependency>
            <groupId>org.nd4j</groupId>
            <artifactId>nd4j-native-platform</artifactId>
            <version>1.0.0-M2</version>
            <!-- <classifier>windows-x86_64</classifier>-->
              <!-- <classifier>windows-x86_64</classifier> -->
        </dependency>

    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-shade-plugin</artifactId>
                <version>3.3.0</version>
                <executions>
                    <execution>
                        <phase>package</phase>
                        <goals>
                            <goal>shade</goal>
                        </goals>
                        <configuration>
                            <artifactSet>
                                <excludes>
                                    <exclude>classworlds:classworlds</exclude>
                                    <exclude>junit:junit</exclude>
                                    <exclude>jmock:*</exclude>
                                    <exclude>*:xml-apis</exclude>
                                    <exclude>org.apache.maven:lib:tests</exclude>
                                    <exclude>log4j:log4j:jar:</exclude>
                                </excludes>
                            </artifactSet>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>
</project>

```

I then build with a run configuration in IntelliJ specifying the operating system. For example:

 ![image](https://canada1.discourse-cdn.com/flex035/uploads/konduit/original/1X/a0f45a58b68692184d64c1557c840f5926c5e57f.png)

However, when building with linux (" -Djavacpp.platform=linux-x86\_64 "), dl4j wont load.

```auto
java.lang.ExceptionInInitializerError: null
	at org.nd4j.linalg.cpu.nativecpu.ops.NativeOpExecutioner.<init>(NativeOpExecutioner.java:79) ~[?:?]
	at jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) ~[?:?]
	at jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:78) ~[?:?]
	at jdk.internal.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) ~[?:?]
	at java.lang.reflect.Constructor.newInstanceWithCaller(Constructor.java:499) ~[?:?]
	at java.lang.reflect.ReflectAccess.newInstance(ReflectAccess.java:128) ~[?:?]
	at jdk.internal.reflect.ReflectionFactory.newInstance(ReflectionFactory.java:350) ~[?:?]
	at java.lang.Class.newInstance(Class.java:642) ~[?:?]
	at org.nd4j.linalg.factory.Nd4j.initWithBackend(Nd4j.java:5129) ~[?:?]
	at org.nd4j.linalg.factory.Nd4j.initContext(Nd4j.java:5044) ~[?:?]
	at org.nd4j.linalg.factory.Nd4j.<clinit>(Nd4j.java:269) ~[?:?]
	at org.deeplearning4j.util.ModelSerializer.restoreMultiLayerNetworkHelper(ModelSerializer.java:282) ~[?:?]
	at org.deeplearning4j.util.ModelSerializer.restoreMultiLayerNetwork(ModelSerializer.java:237) ~[?:?]
	at org.deeplearning4j.util.ModelSerializer.restoreMultiLayerNetwork(ModelSerializer.java:221) ~[?:?]
	at org.deeplearning4j.util.ModelSerializer.restoreMultiLayerNetwork(ModelSerializer.java:207) ~[?:?]
	at joehot200.checks.machinelearning.KillauraML.loadNetwork(KillauraML.java:141) ~[?:?]
	at joehot200.checktype.MachineLearningCheck.loadModel(MachineLearningCheck.java:172) ~[?:?]
	at joehot200.checktype.MachineLearningCheck$2.run(MachineLearningCheck.java:153) ~[?:?]
	at org.bukkit.craftbukkit.v1_16_R3.scheduler.CraftTask.run(CraftTask.java:100) ~[patched_1.16.5.jar:git-Purpur-1171]
	at org.bukkit.craftbukkit.v1_16_R3.scheduler.CraftScheduler.mainThreadHeartbeat(CraftScheduler.java:468) ~[patched_1.16.5.jar:git-Purpur-1171]
	at net.minecraft.server.v1_16_R3.MinecraftServer.w(MinecraftServer.java:1083) ~[patched_1.16.5.jar:git-Purpur-1171]
	at net.minecraft.server.v1_16_R3.MinecraftServer.lambda$a$0(MinecraftServer.java:293) ~[patched_1.16.5.jar:git-Purpur-1171]
	at java.lang.Thread.run(Thread.java:831) [?:?]
Caused by: java.lang.RuntimeException: ND4J is probably missing dependencies. For more information, please refer to: https://deeplearning4j.konduit.ai/nd4j/backend
	at org.nd4j.nativeblas.NativeOpsHolder.<init>(NativeOpsHolder.java:116) ~[?:?]
	at org.nd4j.nativeblas.NativeOpsHolder.<clinit>(NativeOpsHolder.java:37) ~[?:?]
	... 23 more
Caused by: java.lang.UnsatisfiedLinkError: no jnind4jcpu in java.library.path: /usr/java/packages/lib:/usr/lib64:/lib64:/lib:/usr/lib
	at java.lang.ClassLoader.loadLibrary(ClassLoader.java:2423) ~[?:?]
	at java.lang.Runtime.loadLibrary0(Runtime.java:808) ~[?:?]
	at java.lang.System.loadLibrary(System.java:1893) ~[?:?]
	at org.bytedeco.javacpp.Loader.loadLibrary(Loader.java:1800) ~[?:?]
	at org.bytedeco.javacpp.Loader.load(Loader.java:1402) ~[?:?]
	at org.bytedeco.javacpp.Loader.load(Loader.java:1214) ~[?:?]
	at org.bytedeco.javacpp.Loader.load(Loader.java:1190) ~[?:?]
	at org.nd4j.linalg.cpu.nativecpu.bindings.Nd4jCpu.<clinit>(Nd4jCpu.java:14) ~[?:?]
	at java.lang.Class.forName0(Native Method) ~[?:?]
	at java.lang.Class.forName(Class.java:466) ~[?:?]
	at org.nd4j.common.config.ND4JClassLoading.loadClassByName(ND4JClassLoading.java:62) ~[?:?]
	at org.nd4j.common.config.ND4JClassLoading.loadClassByName(ND4JClassLoading.java:56) ~[?:?]
	at org.nd4j.nativeblas.NativeOpsHolder.<init>(NativeOpsHolder.java:88) ~[?:?]
	at org.nd4j.nativeblas.NativeOpsHolder.<clinit>(NativeOpsHolder.java:37) ~[?:?]
	... 23 more
Caused by: java.lang.UnsatisfiedLinkError: /root/.javacpp/cache/AntiAuraML-linux-64.jar/org/nd4j/linalg/cpu/nativecpu/bindings/linux-x86_64/libjnind4jcpu.so: /usr/lib/x86_64-linux-gnu/libstdc++.so.6: version `CXXABI_1.3.8' not found (required by /root/.javacpp/cache/AntiAuraML-linux-64.jar/org/nd4j/linalg/cpu/nativecpu/bindings/linux-x86_64/libjnind4jcpu.so)
	at jdk.internal.loader.NativeLibraries.load(Native Method) ~[?:?]
	at jdk.internal.loader.NativeLibraries$NativeLibraryImpl.open(NativeLibraries.java:383) ~[?:?]
	at jdk.internal.loader.NativeLibraries.loadLibrary(NativeLibraries.java:227) ~[?:?]
	at jdk.internal.loader.NativeLibraries.loadLibrary(NativeLibraries.java:169) ~[?:?]
	at java.lang.ClassLoader.loadLibrary(ClassLoader.java:2383) ~[?:?]
	at java.lang.Runtime.load0(Runtime.java:746) ~[?:?]
	at java.lang.System.load(System.java:1857) ~[?:?]
	at org.bytedeco.javacpp.Loader.loadLibrary(Loader.java:1747) ~[?:?]
	at org.bytedeco.javacpp.Loader.load(Loader.java:1402) ~[?:?]
	at org.bytedeco.javacpp.Loader.load(Loader.java:1214) ~[?:?]
	at org.bytedeco.javacpp.Loader.load(Loader.java:1190) ~[?:?]
	at org.nd4j.linalg.cpu.nativecpu.bindings.Nd4jCpu.<clinit>(Nd4jCpu.java:14) ~[?:?]
	at java.lang.Class.forName0(Native Method) ~[?:?]
	at java.lang.Class.forName(Class.java:466) ~[?:?]
	at org.nd4j.common.config.ND4JClassLoading.loadClassByName(ND4JClassLoading.java:62) ~[?:?]
	at org.nd4j.common.config.ND4JClassLoading.loadClassByName(ND4JClassLoading.java:56) ~[?:?]
	at org.nd4j.nativeblas.NativeOpsHolder.<init>(NativeOpsHolder.java:88) ~[?:?]
	at org.nd4j.nativeblas.NativeOpsHolder.<clinit>(NativeOpsHolder.java:37) ~[?:?]
	... 23 more

```

Here is my OS info:

```auto
root@endcraft:~# hostnamectl
   Static hostname: endcraft.net
         Icon name: computer-container
           Chassis: container
           Boot ID: b973ebd274654ad9bafd46ac3ae377f8
    Virtualization: openvz
  Operating System: Ubuntu 14.04.1 LTS
            Kernel: Linux 3.13.0-957.12.2.vz7.96.21
      Architecture: x86_64

```

I`m really lost on this (maybe if I was a better programmer I would understand the issue better…) so help would be appreciated. Thanks!

---

<div class="post-metadata">

**Author:** ![treo](https://yyz1.discourse-cdn.com/flex035/user_avatar/community.konduit.ai/treo/32/47_2.png) [@treo](https://community.konduit.ai/u/treo)\
**Post date:** [August 10, 2022, 10:14am UTC](https://community.konduit.ai/t/no-jnind4jcpu-in-java-library-path-when-using-linux/1947/2 "2022-08-10T10:14:08Z")

</div>

> [@Joehot200](#):
>
> ```auto
> Caused by: java.lang.UnsatisfiedLinkError: /root/.javacpp/cache/AntiAuraML-linux-64.jar/org/nd4j/linalg/cpu/nativecpu/bindings/linux-x86_64/libjnind4jcpu.so: /usr/lib/x86_64-linux-gnu/libstdc++.so.6: version `CXXABI_1.3.8' not found (required by /root/.javacpp/cache/AntiAuraML-linux-64.jar/org/nd4j/linalg/cpu/nativecpu/bindings/linux-x86_64/libjnind4jcpu.so)
> 
> ```

That is the core of the issue. It looks like you are trying to run it on a system with a rather old libstdc++. The `CXXABI_1.3.8` symbol is from GCC 4.9, which was released in 2014.

---

<div class="post-metadata">

**Author:** ![Joehot200](https://yyz1.discourse-cdn.com/flex035/user_avatar/community.konduit.ai/joehot200/32/688_2.png) [@Joehot200](https://community.konduit.ai/u/Joehot200)\
**Post date:** [August 10, 2022, 11:15am UTC](https://community.konduit.ai/t/no-jnind4jcpu-in-java-library-path-when-using-linux/1947/3 "2022-08-10T11:15:56Z")

</div>

My good sir, I`ll have you know my 2012 VPS prefers the term “wonderfully vintage”. 😉

Is there a workaround for this issue, or will I simply have to inform customers that DL4J will not work on older software? A fair few of my customers are unfortunately living in the stone age, which is partly why I have a 2012 VPS in the first place.

Also, how “new” does the version need to be for dl4j to work?

Thanks.

---

<div class="post-metadata">

**Author:** ![treo](https://yyz1.discourse-cdn.com/flex035/user_avatar/community.konduit.ai/treo/32/47_2.png) [@treo](https://community.konduit.ai/u/treo)\
**Post date:** [August 10, 2022, 12:04pm UTC](https://community.konduit.ai/t/no-jnind4jcpu-in-java-library-path-when-using-linux/1947/4 "2022-08-10T12:04:57Z")

</div>

As long as you don’t need GPU support, you can try using the linux-x86\_64-compat platform. It will be slower, as it can’t make use of newer optimizations, but it should still work even on the ancient systems.

For the regular version, I think it should be Ubuntu 18.04 at least.

Also, Konduit offers commercial engagements for any special needs you might have.