You’ll find the nd4j-cuda-11.2 artifacts here: Index of /repositories/snapshots/org/nd4j/nd4j-cuda-11.2 - if you have any issues, let me know. That will really help with the release coming out soon.
hi, when I used snapshot 0.0.1-SNAPSHOT this is the error am getting
However, the sample code is working with 1.0.0-beta7 without any problems. this is my pom file:<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 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>SampleDl4j</groupId>
<artifactId>SampleDl4j</artifactId>
<version>0.0.1-SNAPSHOT</version>
<build>
<sourceDirectory>src</sourceDirectory>
<plugins>
<plugin>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.8.1</version>
<configuration>
<release>11</release>
</configuration>
</plugin>
</plugins>
</build>
<!-- Properties Section. Change DL4J and ND4J versions here, if required -->
<properties>
<dl4j.version>1.0.0-SNAPSHOT</dl4j.version> <!-- Modified for using SNAPSHOT versions -->
<nd4j.version>1.0.0-SNAPSHOT</nd4j.version> <!-- Modified for using SNAPSHOT versions -->
<logback.version>1.2.3</logback.version>
</properties>
<dependencies>
<!-- deeplearning4j-core: contains main functionality and neural networks -->
<dependency>
<groupId>org.deeplearning4j</groupId>
<artifactId>deeplearning4j-core</artifactId>
<version>${dl4j.version}</version>
</dependency>
<!--
ND4J backend: every project needs one of these. The backend defines the hardware on which network training
will occur. "nd4j-native-platform" is for CPUs only (for running on all operating systems).
-->
<dependency>
<groupId>org.nd4j</groupId>
<artifactId>nd4j-native</artifactId>
<version>${nd4j.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 -->
<!--
<dependency>
<groupId>org.nd4j</groupId>
<artifactId>nd4j-cuda-11.2</artifactId>
<version>${nd4j.version}</version>
</dependency>
-->
<!-- Optional, but recommended: if you use CUDA, also use CuDNN. To use this, CuDNN must also be installed -->
<!-- See: https://deeplearning4j.org/cudnn -->
<!--
<dependency>
<groupId>org.deeplearning4j</groupId>
<artifactId>deeplearning4j-cuda-11.2</artifactId>
<version>${dl4j.version}</version>
</dependency>
-->
<dependency>
<groupId>ch.qos.logback</groupId>
<artifactId>logback-classic</artifactId>
<version>${logback.version}</version>
</dependency>
<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>cuda-platform-redist</artifactId>
<version>11.2-8.1-1.5.5</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.bytedeco/openblas-platform -->
<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>openblas-platform</artifactId>
<version>0.3.13-1.5.5</version>
</dependency>
<dependency>
<groupId>org.nd4j</groupId>
<artifactId>nd4j-common</artifactId>
<version>${dl4j.version}</version>
</dependency>
</dependencies>
<!-- Modified for using SNAPSHOT versions - added repositories section -->
<repositories>
<repository>
<id>snapshots-repo</id>
<url>https://repo.maven.apache.org/maven2</url>
</repository>
<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>
</project>
and this is my sample code:
package com.ajm.sample;
import org.nd4j.linalg.factory.Nd4j;
public class Program {
public static void main(String[] args) {
// TODO Auto-generated method stub
Nd4j.create(1);
System.out.println("Done");
}
}
@ajmakoni sorry missed this and found the lack of response when going through old issues. Please reping us if you don’t see a response within a few days.
Looking at this, we would need to see what dependency walker or GitHub - lucasg/Dependencies: A rewrite of the old legacy software "depends.exe" in C# for Windows devs to troubleshoot dll load dependencies issues.
to verify what the problem is. It’s still going to be a system dependent problem.
The release should be out within a week or so, so please feel free to test it then.
Hello, thank you for your feedback. I look forward to release
@ajmakoni we’ve released M1. Docs still need to be published and they are about done. Let me know if you have any questions.
hello @agibsonccc, will test this release as soon as possible
@ajmakoni awesome thanks. Depending on community feedback, we may push a new version within a few weeks if anything is found .We’re doing another round of bug fixes now so any feedback is appreciated.