more testing

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

    // tf.saved_model.tag_constants.SERVING = "serve"

    public final static String PB_TAG = "serve";

    public final static String SERVING = "serve";

    public static void run()

        final Graph smpb;

        // init for variable?

        float [][] rv_stage1_out = new float[78408][32];

        // from: infer_qcds_01.py

        // from infer_qcds_01.py

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

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

        int     [] img_ntile  = new   int[78408];

        // init ntile

        // init ntile for testing?

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

        	img_ntile[i] = i;

        }

        /*

         * for feed:

         *     "ph_corr2d":           img_corr2d

         *     "ph_target_disparity": img_target

         *     "ph_ntile":            img_ntile

         *     

         *     so it will look like:

         *     

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

         *         https://github.com/DIVSIO/tensorflow_java_cli_example/blob/master/src/main/java/divisio/example/tensorflow/cli/RunRegression.java

         *     

         *     sess.runner()

         *         .feed("ph_corr2d",img_corr2d)

         *         .feed("ph_target_disparity",img_target)

         *         .feed("ph_ntile",img_ntile)

         *         .fetch("Disparity_net/stage1done:0")

         *         .run()

         *         .get(0)

         */

        final SavedModelBundle bundle = SavedModelBundle.load(EXPORTDIR,PB_TAG); 

        final SavedModelBundle bundle = SavedModelBundle.load(EXPORTDIR,SERVING); 

        final List<Tensor<?>> tensorsToClose = new ArrayList<Tensor<?>>(5);

        try {

        	//bundle.session().runner().fetch("Disparity_net/stage1done:0").run();

        	System.out.println("S0:");

        	// read Variable info test

        	Operation opr = bundle.graph().operation("rv_stage1_out");

        	System.out.println(opr.toString());

        	System.out.println("S1:");

        	// init variable via constant

        	Tensor<Float> t = toTensor2DFloat(rv_stage1_out, tensorsToClose);

        	Output builder_init = bundle.graph().opBuilder("Const", "rv_stage1_out_init").setAttr("dtype", t.dataType()).setAttr("value", t).build().output(0);

        	// init variable via constant?

        	Tensor<Float> tsr = toTensor2DFloat(rv_stage1_out, tensorsToClose);

        	Output builder_init = bundle.graph()

        			                    .opBuilder("Const", "rv_stage1_out_init")

        			                    .setAttr  ("dtype", tsr.dataType())

        			                    .setAttr  ("value", tsr)

        			                    .build()

        			                    .output(0);

        	// variable

        	OperationBuilder builder2 = bundle.graph().opBuilder("Variable", "rv_stage1_out");

        	builder2.addInput(builder_init);

        	System.out.println(builder_init);

        	//Tensor<Float> tensorVal = t;

        	//Output oValue = graph.opBuilder("Const", "rv_stage1_out").setAttr("dtype", tensorVal.dataType()).setAttr("value", tensorVal).build().output(0);

        	// variable

        	OperationBuilder builder2 = bundle.graph().opBuilder("Variable", "rv_stage1_out_extra_variable");

        											  //.addInput(builder_init);

        	//bundle.graph().opBuilder("Assign", "Assign/rv_stage1_out").setAttr("value", t).build();

        	//builder2.

        	//bundle.graph().opBuilder("Assign", "Assign/" + builder2.op().name()).addInput(variable).addInput(value).build().output(0);

        	Operation ooyoo = bundle.graph().operation("rv_stage1_out");

        	System.out.println(ooyoo.toString());

        	System.out.println(ooyoo.type());

        	//Tensor<Float> tensorVal = tsr;

        	//Output oValue = bundle.graph().opBuilder("Const", "rv_stage1_out_2").setAttr("dtype", tensorVal.dataType()).setAttr("value", tensorVal).build().output(0);

        	//System.out.println(oValue);

        	//Output oValue = bundle.graph().opBuilder("Variable", "rv_stage1_out").setAttr("value", tensorVal).build().output(0);

        	//bundle.graph().opBuilder("Assign", "Assign/rv_stage1_out").setAttr("value", tsr).build();

        	System.out.println("DONE");

        	//Tensor<Float> t = toTensor2DFloat(rv_stage1_out, tensorsToClose);

        	//builder.setAttr("dtype", t.dataType()).setAttr("shape",t.shape()).build().output(0);

        	// stage 1        	

        	bundle.session().runner()

	                  .feed("ph_corr2d",toTensor2DFloat(img_corr2d, tensorsToClose))