# Still a no jniNd4j error

**URL:** <https://community.konduit.ai/t/still-a-no-jnind4j-error/559>\
**Category:** DL4J\
**Created:** [May 27, 2020, 7:46am UTC](https://community.konduit.ai/t/still-a-no-jnind4j-error/559 "2020-05-27T07:46:04Z")\
**Posts on this page:** 4\
**Page:** 1

<div class="post-metadata">

**Author:** ![moyunshan](https://avatars.discourse-cdn.com/v4/letter/m/db5fbb/32.png) [@moyunshan](https://community.konduit.ai/u/moyunshan)\
**Post date:** [May 27, 2020, 7:46am UTC](https://community.konduit.ai/t/still-a-no-jnind4j-error/559/1 "2020-05-27T07:46:04Z")

</div>

I try to run MultiGpuLenetMnistExample under DL4J 1.0.0-beta7 dl4j-cuda-specific-examples on windows 10 but get a “no jniNd4j” error as following:

```auto
o.n.l.f.Nd4jBackend - Loaded [JCublasBackend] backend
o.n.n.NativeOpsHolder - Number of threads used for linear algebra: 32
o.n.l.a.o.e.DefaultOpExecutioner - Backend used: [CUDA]; OS: [Windows 10]
o.n.l.a.o.e.DefaultOpExecutioner - Cores: [8]; Memory: [16.0GB];
o.n.l.a.o.e.DefaultOpExecutioner - Blas vendor: [CUBLAS]
o.n.l.j.JCublasBackend - ND4J CUDA build version: 10.2.89
o.n.l.j.JCublasBackend - CUDA device 0: [Quadro M1200]; cc: [5.0]; Total memory: [4294967296]
**java.lang.UnsatisfiedLinkError: no jniNd4j in java.library.path: [C:\Java\jdk-12.0.2\bin,** C:\WINDOWS\Sun\Java\bin, C:\WINDOWS\system32, C:\WINDOWS, C:/Java/jdk-12.0.2/bin/server, C:/Java/jdk-12.0.2/bin, C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin, C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\libnvvp, C:\WINDOWS\system32, C:\WINDOWS, C:\WINDOWS\System32\Wbem, C:\Java\jdk-12.0.2\bin, C:\hadoop-2.7.1\bin, C:\spark-2.4.3\bin, C:\scala\bin, C:\Program Files\Git\cmd, C:\Users\LDLC\Anaconda3\Scripts, C:\Users\LDLC\Anaconda3, C:\Users\LDLC\Anaconda3\Library\bin, C:\Program Files\NVIDIA Corporation\Nsight Compute 2019.5.0\, C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2020.1.216\windows\redist\intel64_win\mkl, C:\maven-3.6.3\bin, D:\projects\eclipse\deeplearning4j-examples-master\cuda\windows-x86_64, C:\Program Files\dotnet\, C:\python3.7\Scripts\, C:\python3.7\, C:\Users\LDLC\AppData\Local\Microsoft\WindowsApps, C:\maven-3.6.3\bin, C:\Users\LDLC\Desktop, ., .]
	at java.base/java.lang.ClassLoader.loadLibrary(ClassLoader.java:2660)
	at java.base/java.lang.Runtime.loadLibrary0(Runtime.java:827)
	at java.base/java.lang.System.loadLibrary(System.java:1902)
	at org.bytedeco.javacpp.Loader.loadLibrary(Loader.java:1631)
	at org.bytedeco.javacpp.Loader.load(Loader.java:1265)
	at org.bytedeco.javacpp.Loader.load(Loader.java:1125)
	at org.deeplearning4j.examples.multigpu.MultiGpuLenetMnistExample.main(MultiGpuLenetMnistExample.java:68)
Exception in thread "main" java.lang.NullPointerException
	at org.deeplearning4j.examples.multigpu.MultiGpuLenetMnistExample.main(MultiGpuLenetMnistExample.java:73)

```

I follow instruction on [https://jrmerwin.github.io/deeplearning4j-docs/quickstart](https://jrmerwin.github.io/deeplearning4j-docs/quickstart) to add a VM parameter “-Djava.library.path=”“”, but the result is the same.

The pom.xml file on my projects is as below. Is there any idea about this problem?

```auto
<?xml version="1.0" encoding="UTF-8"?>
<!-- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  ~ Copyright (c) 2015-2019 Skymind, Inc.
  ~
  ~ 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.
  ~
  ~ 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
  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -->

<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>
    <artifactId>dl4j-cuda-specific-examples</artifactId>

    <parent>
        <groupId>org.deeplearning4j</groupId>
        <artifactId>deeplearning4j-examples-parent</artifactId>
        <version>1.0.0-beta7</version>
    </parent>

    <name>DeepLearning4j CUDA special examples</name>
    <properties>
      <nd4j.backend>nd4j-cuda-10.2-platform</nd4j.backend>
    </properties>

    <repositories>
        <repository>
            <id>snapshots-repo</id>
            <url>https://oss.sonatype.org/content/repositories/snapshots</url>
            <releases>
                <enabled>false</enabled>
            </releases>
            <snapshots>
                <enabled>true</enabled>
            </snapshots>
        </repository>
    </repositories>

    <distributionManagement>
        <snapshotRepository>
            <id>sonatype-nexus-snapshots</id>
            <name>Sonatype Nexus snapshot repository</name>
            <url>https://oss.sonatype.org/content/repositories/snapshots</url>
        </snapshotRepository>
    </distributionManagement>

    <dependencyManagement>
        <dependencies>
            <dependency>
                <groupId>org.nd4j</groupId>
                <artifactId>nd4j-cuda-10.2-platform</artifactId>
                <version>${nd4j.version}</version>
                <classifier>windows-x86_64</classifier>
            </dependency>
      </dependencies>
    </dependencyManagement>

    <dependencies>
        <!-- Dependency for parallel wrapper (for multi-GPU parameter averaging -->
        <dependency>
            <groupId>org.deeplearning4j</groupId>
            <artifactId>deeplearning4j-parallel-wrapper</artifactId>
            <version>${dl4j.version}</version>
        </dependency>

        <dependency>
            <groupId>org.deeplearning4j</groupId>
            <artifactId>deeplearning4j-core</artifactId>
            <version>${dl4j.version}</version>
        </dependency>
        <dependency>
            <groupId>org.deeplearning4j</groupId>
            <artifactId>deeplearning4j-ui</artifactId>

            <version>${dl4j.version}</version>
        </dependency>
        <dependency>
            <groupId>org.deeplearning4j</groupId>
            <artifactId>deeplearning4j-zoo</artifactId>
            <version>${dl4j.version}</version>
        </dependency>
        <dependency>
            <groupId>org.nd4j</groupId>
            <artifactId>${nd4j.backend}</artifactId>
            <version>${dl4j.version}</version>
        </dependency>
        <!-- datavec-data-codec: used only in video example for loading video data -->
        <dependency>
            <artifactId>datavec-data-codec</artifactId>
            <groupId>org.datavec</groupId>
            <version>${datavec.version}</version>
        </dependency>

        <dependency>
            <groupId>ch.qos.logback</groupId>
            <artifactId>logback-classic</artifactId>
            <version>${logback.version}</version>
        </dependency>
        <dependency>
            <groupId>org.bytedeco</groupId>
            <artifactId>cuda-platform-redist</artifactId>
            <version>10.2-7.6-1.5.2</version>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.codehaus.mojo</groupId>
                <artifactId>exec-maven-plugin</artifactId>
                <version>${exec-maven-plugin.version}</version>
                <executions>
                    <execution>
                        <goals>
                            <goal>exec</goal>
                        </goals>
                    </execution>
                </executions>
                <configuration>
                    <executable>java</executable>
                </configuration>
            </plugin>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-shade-plugin</artifactId>
                <version>${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>

            <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>
        </plugins>
    </build>
</project>

```

---

<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:** [May 29, 2020, 7:07am UTC](https://community.konduit.ai/t/still-a-no-jnind4j-error/559/2 "2020-05-29T07:07:26Z")

</div>

Are you trying to run it from the examples project directly, or have you copied this submodule and are trying to run it that way?

---

<div class="post-metadata">

**Author:** ![moyunshan](https://avatars.discourse-cdn.com/v4/letter/m/db5fbb/32.png) [@moyunshan](https://community.konduit.ai/u/moyunshan)\
**Post date:** [May 29, 2020, 9:10am UTC](https://community.konduit.ai/t/still-a-no-jnind4j-error/559/3 "2020-05-29T09:10:29Z")

</div>

It seems that the problem is resolved someway. But I’m sorry I forget what work I have done during the process. Maybe two ways: copy some dlls to directory where the system can find them by PATH; or, I installed VS studio 2019 to test whether dirver version and cuda version are the same.

Thank you very much. Later, I will record more details about how “bugs” occur and are resolved.

---

<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:** [May 29, 2020, 9:32am UTC](https://community.konduit.ai/t/still-a-no-jnind4j-error/559/4 "2020-05-29T09:32:44Z")

</div>

In principle, it should be working out of the box, esp. when you have the cuda runtime as a dependency.

Also just note that the official docs can be found at [https://deeplearning4j.konduit.ai/](https://deeplearning4j.konduit.ai/).