+links

import org.tensorflow.Session;

import org.tensorflow.Tensor;

import org.tensorflow.TensorFlow;

import org.tensorflow.SavedModelBundle;

/**

Note 0: articles & examples:

- https://divis.io/2017/11/enterprise-tensorflow-1/

- https://divis.io/2018/01/enterprise-tensorflow-code-examples/

- https://divis.io/2018/01/enterprise-tensorflow-2-saving-a-trained-model/

- https://divis.io/2018/01/enterprise-tensorflow-3-loading-a-savedmodel-in-java/

- https://divis.io/2018/01/enterprise-tensorflow-4-executing-a-tensorflow-session-in-java/

- https://www.programcreek.com/java-api-examples/?api=org.tensorflow.SavedModelBundle

- https://github.com/imagej/imagej-tensorflow

Note 1: How to feed:

 a. https://divis.io/2018/01/enterprise-tensorflow-4-executing-a-tensorflow-session-in-java/

 b. https://github.com/tensorflow/tensorflow/blob/master/tensorflow/java/src/main/java/org/tensorflow/examples/LabelImage.java

Note 2: https://divis.io/2018/01/enterprise-tensorflow-4-executing-a-tensorflow-session-in-java/

...

Two types of objects will need manual closing for proper resource handling:

Sessions and Tensors

...

*/

public class TensorflowExamplePlugin

{

    public void run() 

    public final static String EXPORTDIR = "/home/oleg/GIT/python3-imagej-tiff/data_sets/tf_data_5x5_main_13_heur/exportdir";

    public final static String PB_TAG = "model_pb";

    public static void run()

    {

        System.out.println("TensorflowExamplePlugin run");

        try {

    }

    public static void main() throws Exception {

        final Graph smpb;

        float [][] img_corr2d = new float[78408][324];

        float [][] img_target = new float[78408][  1];

        int     [] img_ntile  = new   int[78408];

        // init ntile

        for(int i=0;i<img_ntile.length;i++){

        	img_ntile[i] = i;

        }

        try (SavedModelBundle b = SavedModelBundle.load(EXPORTDIR,PB_TAG)){

            System.out.println("Alright");

            smpb = b.graph();

        }

        try (Graph g = new Graph()) {

            final String value = "Hello from " + TensorFlow.version();

                Tensor output = s.runner().fetch("MyConst").run().get(0)) {

                    System.out.println(new String(output.bytesValue(), "UTF-8"));

                    s.close();

                    output.close();

            }

        }

    }

}