[GitHub] lanking520 commented on a change in pull request #12969: [MXNET-1160][WIP] add Java build/run example

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lanking520 commented on a change in pull request #12969: [MXNET-1160][WIP] add Java build/run example
URL: https://github.com/apache/incubator-mxnet/pull/12969#discussion_r227980670
 
 

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 File path: docs/tutorials/scala/mxnet_java_install_and_run_examples.md
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+# Install and run Java Examples
+
+## Prerequisites:
+Please follow the Step 1 in the [Scala configuration](http://mxnet.incubator.apache.org/install/scala_setup.html#setup-instructions)
+These should help you install the correct Java version and all dependecies.
+
+## Import and run the Java package
+For users using a desktop/laptop, we recommend to use IntelliJ IDE as it is tested and supported to provide necessary documentation for the Java API.
+
+Alternatively, users can follow the second instruction to setup a empty Maven project for Java.
+
+### IntelliJ instruction
+If you are using a computer with Ubuntu16.04 or Mac, you can install IntelliJ to run the Java package. Please follow the instruction below:
+
+1. Create a new Java project in IntelliJ. Fire up IntelliJ and click `Create New Project`. It should open a popup window like this :
+
+2. Click `Next`, and in the `Create project from template` window, do not select anything and click `Next` again.
+
+3. In the next window choose your `Project name` and the `Project location` and click on `Finish`.
+
+4. Let’s add the Java Inference API jars that we grabbed from Mavel Central. At the top of the window, Go to the `File -> Project Structure`. In the popup window that opens up, click on `Libraries -> +` and select the path to the jar files downloaded. Click `Apply` and then click `OK`.
+
+6. Create a new Java class under the folder `your-project-name/src`. Let’s call this class `JavaSample.java`. Type in the following code snippet and run it. In this code snippet we create an NDArray object in Java and print it’s shape.
+```java
+import org.apache.mxnet.javaapi.Context;
+import org.apache.mxnet.javaapi.NDArray;
+
+public class JavaSample {
+    public static void main(String[] args) {
+        System.out.println("Hello");
+        NDArray nd = NDArray.ones(Context.cpu(), new int[] {10, 20});
+
+        System.out.println("Shape of NDarray is : "  + nd.shape());
+
+    }
+}
+```
+
+7. If all went well, you should see an output like this : (Ignore the SLF4J warnings). 
+```
+Hello
+SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
+SLF4J: Defaulting to no-operation (NOP) logger implementation
+SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
+Shape of NDarray is : (10,20)
+Process finished with exit code 0
+```
+This means you have successfully set it up on your machine
+
+### Run the project manually in Maven
+In this example, Maven is being used to create the project. This tutorial referred the [Maven in 5 min](https://maven.apache.org/guides/getting-started/maven-in-five-minutes.html) tutorial.
+
+1. Create a new folder and run the following commands
+```
+mvn archetype:generate -DgroupId=com.mycompany.app -DartifactId=my-app -DarchetypeArtifactId=maven-archetype-quickstart -DinteractiveMode=false
+```
+You can specify the `groupId` and `artifactId` to your favourite names. You can also create a maven project using empty archetype.
+
+2. then go to `pom.xml` file in your project folder and add the following content.
+- Change the `osx-x86_64` to `linux-x86_64` if your platform is linux.
+- Change `cpu` into `gpu` if you are using gpu
+- Change the version of your package from `1.3.1` to the matched jar version.
+```xml
+<dependency>
+    <groupId>org.apache.mxnet</groupId>
+    <artifactId>mxnet-full_2.11-osx-x86_64-cpu</artifactId>
+    <version>1.3.1</version>
 
 Review comment:
   Since this tutorial is telling the user to use a package download from somewhere rather than from Maven central, I would not make it general until we have something on Maven central

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