windows CUDA org.bytedeco.javacpp.Loader.loadLibrary Error

[jossbetel]

Issue Description

every time I try to use CUDA 10.1 with G1080 then
java.lang.UnsatisfiedLinkError repeated when I try to run.
if i change the config "<nd4j.backend>nd4j-cuda-10.1-platform</nd4j.backend>" to
"<nd4j.backend>nd4j-native-platform</nd4j.backend>" then every thing goes well....
...................
i swift my opt system to ubuntu 19.04 then everything is A ok.....
...................
why i can't used GPU model in windows.
get me a help....3Q

Please describe our issue, along with:

• expected behavior
  the expected show that the thing"jnicusparse.dll" is UnsatisfiedLinkError
  I use my explore to check out what is going on.
  then I find the jnicusparse.dll is right that in the possition.

• encountered behavior
  Caused by: java.lang.UnsatisfiedLinkError: C:\Users\Administrator.javacpp\cache\cuda-10.1-7.5-1.5-windows-x86_64.jar\org\bytedeco\cuda\windows-x86_64\jnicusparse.dll: 找不到指定的程序。
  at java.lang.ClassLoader$NativeLibrary.load(Native Method)
  at java.lang.ClassLoader.loadLibrary0(ClassLoader.java:1941)
  at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1824)
  at java.lang.Runtime.load0(Runtime.java:809)
  at java.lang.System.load(System.java:1086)
  at org.bytedeco.javacpp.Loader.loadLibrary(Loader.java:1316)
  ... 28 more

Version Information

Please indicate relevant versions, including, if relevant:

• Deeplearning4j version 1.0.0-beta4
• platform information (OS, etc) windows 10 x64
• CUDA version, if used 10.1
• NVIDIA driver version, if in use 425.25

Contributing

If you'd like to help us fix the issue by contributing some code, but would
like guidance or help in doing so, please mention it!

[AlexDBlack]

Can you do 3 things:

1. Post your full pom.xml
2. Describe how you are running your program - though IDE (eclipse, intellij, netbeans etc) or through maven?
3. Post the output of nvcc --version

[saudet]

Duplicate of #7781

Add the following dependencies to your pom.xml file:
https://github.com/bytedeco/javacpp-presets/tree/1.5/cuda#the-pomxml-build-file

[jossbetel]

4.0.0

<groupId>com.betel</groupId>
<artifactId>jossdeep</artifactId>
<version>0.0.1a</version>
<properties>
    <!--nd4j-native-platform CPU GPU nd4j-cuda-10.1-platform -->
    <nd4j.backend>nd4j-cuda-10.1-platform</nd4j.backend>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    <java.version>1.8</java.version>
    <nd4j.version>1.0.0-beta4</nd4j.version>
    <dl4j.version>1.0.0-beta4</dl4j.version>
    <datavec.version>1.0.0-beta4</datavec.version>
    <arbiter.version>1.0.0-beta4</arbiter.version>
    <rl4j.version>1.0.0-beta4</rl4j.version>
    <!-- Scala binary version: DL4J's Spark and UI functionality are released with both Scala 2.10 and 2.11 support -->
    <scala.binary.version>2.11</scala.binary.version>
</properties>
<dependencies>
    <!-- GPU -->
    <dependency>
        <groupId>org.nd4j</groupId>
        <artifactId>${nd4j.backend}</artifactId>
        <version>${nd4j.version}</version>
    </dependency>
    <!-- DL4J core-->
    <dependency>
        <groupId>org.deeplearning4j</groupId>
        <artifactId>deeplearning4j-core</artifactId>
        <version>${dl4j.version}</version>
    </dependency>
    <!--handle datavec-->
    <dependency>
        <groupId>org.datavec</groupId>
        <artifactId>datavec-api</artifactId>
        <version>${datavec.version}</version>
    </dependency>
    <dependency>
        <groupId>org.datavec</groupId>
        <artifactId>datavec-local</artifactId>
        <version>${datavec.version}</version>
    </dependency>
    <!-- handle org.slf4j.impl.StaticLoggerBinder -->
    <!-- handle tar.gz-->
    <dependency>
        <groupId>org.apache.commons</groupId>
        <artifactId>commons-compress</artifactId>
        <version>1.18</version>
    </dependency>
    <!--handle UI-->
    <dependency>
        <groupId>org.deeplearning4j</groupId>
        <artifactId>deeplearning4j-ui_${scala.binary.version}</artifactId>
        <version>${dl4j.version}</version>
    </dependency>
</dependencies>

[jossbetel]

2.Describe how you are running your program - though IDE (eclipse, intellij, netbeans etc) or through maven?
I running my program with intellij IDEA 2019.3 and My maven version is 3.6.1

3.Post the output of nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Wed_Apr_24_19:11:20_Pacific_Daylight_Time_2019
Cuda compilation tools, release 10.1, V10.1.168

[AlexDBlack]

@jossbetel @saudet already mentioned what you should do to fix this:

Duplicate of #7781
Add the following dependencies to your pom.xml file:
https://github.com/bytedeco/javacpp-presets/tree/1.5/cuda#the-pomxml-build-file

[jossbetel]

@AlexDBlack 3Q,very much. I work smoothly, then. Thank you for all that you have done.

[jossbetel]

@saudet And,Thanks too. yeah,I take my hats off to you all.