minor updates

src/main/java/tfhello.java

@@ -80,6 +80,62 @@ public class tfhello{
 		return ptr;
 	}
 	
+	public static int CallableOptionsToByteArray1(){
+		
+		String gpuDeviceName = "/job:localhost/replica:0/task:0/device:GPU:0";
+		
+		CallableOptions callableOpts = CallableOptions.newBuilder()
+    			.addFetch("output1:0")
+    		    .addFeed("input1:0")
+    		    .putFeedDevices("input1:0", gpuDeviceName)
+    		    .build();
+		
+		System.out.println(callableOpts);
+		
+		byte[] boits = callableOpts.toByteArray(); 
+		System.out.print("{");
+		for (int i=0; i< boits.length; ++i) {
+			if (i==(boits.length-1)) {
+				System.out.print(String.format("0x%02x", boits[i]));
+			}else{
+				System.out.print(String.format("0x%02x, ", boits[i]));
+			}
+		}
+		System.out.println("}");
+		
+		return 0;
+	}
+	
+	public static int CallableOptionsToByteArray2(){
+		
+		String gpuDeviceName = "/job:localhost/replica:0/task:0/device:GPU:0";
+		
+		CallableOptions callableOpts = CallableOptions.newBuilder()
+    			.addFetch("output1:0")
+    		    .addFeed("input1:0")
+    		    .setFetchSkipSync(true)
+    		    .putFetchDevices("output1:0", gpuDeviceName)
+    		    .build();
+		
+		
+		//.fetch_skip_sync = false;
+		
+		System.out.println(callableOpts);
+		
+		byte[] boits = callableOpts.toByteArray(); 
+		System.out.print("{");
+		for (int i=0; i< boits.length; ++i) {
+			if (i==(boits.length-1)) {
+				System.out.print(String.format("0x%02x", boits[i]));
+			}else{
+				System.out.print(String.format("0x%02x, ", boits[i]));
+			}
+		}
+		System.out.println("}");
+		
+		return 0;
+	}
+	
 	public static void main(String[] args) throws Exception{
 		
 		// CUDA test start
@@ -154,7 +210,7 @@ public class tfhello{
 		System.out.println("Test 3 start\n  - Print TF version");
 		System.out.println(TensorFlow.version());
 		System.out.println("Test 3 end\n");
-				
+
 		//System.out.println("Test 4 start\n  - Test simple custom JNI function added to TF");
 		//System.out.println(TensorFlow.elphelVersion());
 		//System.out.println("Test 4 end\n");
@@ -178,10 +234,22 @@ public class tfhello{
 	        			   //.setAttr("dtype",DataType.UINT8)
 	        			   //.setAttr("dtype",DataType.INT64)
      		       		   .build();
-	        			 
+	        
+	        Operation k = g.opBuilder("Const", "array_const")
+     		       .setAttr("dtype", DataType.FLOAT)
+     		       .setAttr("value", Tensor.<Float>create((float) 2.0, Float.class))
+     		       .build();
+	        
+	        /*
 	        Operation z = g.opBuilder("Identity", "array_tensor_out")
 	        		       .addInput(x.output(0))
 	        		       .build();
+	        */
+
+	        Operation z = g.opBuilder("Mul", "array_tensor_out")
+     		       .addInput(x.output(0))
+     		       .addInput(k.output(0))
+     		       .build();
 	        
 	        // unit8
 	        //Tensor t = Tensor.create(px_in_uint8);
@@ -217,16 +285,17 @@ public class tfhello{
 	        	System.out.println("Output from the first run: ");
 	        	System.out.println(Arrays.toString(obuf));
 	        	
-	        	
 	        	// natively got GPU device name to insert into options
 	        	// it's the same all the time
 	        	String gpuDeviceName = s.GPUDeviceName();
 	        	
 	    		// GPU allocation: dims must be power of 2?
 	    		Tensor t3 = Tensor.createGPU(new long[]{256},DataType.FLOAT);
+	    		t3.isGPUTensor();
+	    		t3.setValueGPU(px_in_float);
 	    		//System.out.println(t2.nativeRef);
 	    	
-	    		// Let's check what happended
+	    		// Let's check what happened
 	    		long t3_gpuptr = t3.GPUPointer();
 	    		// Print address
 	    		//System.out.println("Pointer address: "+String.format("0x%08x", t3_gpuptr));
@@ -272,8 +341,11 @@ public class tfhello{
 	    		    .addFeed("array_tensor_in:0")
 	    		    .putFeedDevices("array_tensor_in:0", gpuDeviceName)
 	    		    .build();
+	    			    		
+	    		
 	    		
-	    		System.out.println(callableOpts);
+	    		//CallableOptionsToByteArray1();
+	    		//CallableOptionsToByteArray2();
 	    		
 	    		// callable handle
 	    		long feed_gpu_fetch_cpu = s.makeCallable(callableOpts.toByteArray());