more prints

Author: carlosuc3m

src/main/java/io/bioimage/modelrunner/pytorch/javacpp/JavaWorker.java

@@ -87,8 +87,10 @@ private void executeScript(String script, Map<String, Object> inputs) {
 		this.reportLaunch();
 		try {
 			if (script.equals("loadModel")) {
+				System.out.println("STATY IN WORKER LOAD");
 				pi.loadModel((String) inputs.get("modelFolder"), (String) inputs.get("modelSource"));
 			} else if (script.equals("inference")) {
+				System.out.println("STATY IN WORKER");
 				pi.runFromShmas((List<String>) inputs.get("inputs"), (List<String>) inputs.get("outputs"));
 			} else if (script.equals("close")) {
 				pi.closeModel();

src/main/java/io/bioimage/modelrunner/pytorch/javacpp/PytorchJavaCPPInterface.java

@@ -239,17 +239,21 @@ void run(List<Tensor<T>> inputTensors, List<Tensor<R>> outputTensors) throws Run
 	}
 
 	protected void runFromShmas(List<String> inputs, List<String> outputs) throws IOException {
-		
+		System.out.println("REACH0");
 		IValueVector inputsVector = new IValueVector();
+		System.out.println("REACH1");
 		for (String ee : inputs) {
+			System.out.println("REACH2");
 			Map<String, Object> decoded = Types.decode(ee);
 			SharedMemoryArray shma = SharedMemoryArray.read((String) decoded.get(MEM_NAME_KEY));
 			org.bytedeco.pytorch.Tensor  inT = TensorBuilder.build(shma);
         	inputsVector.put(new IValue(inT));
 			if (PlatformDetection.isWindows()) shma.close();
 		}
+		System.out.println("REACH3");
         // Run model
 		model.eval();
+		System.out.println("REACH4");
         IValue output = model.forward(inputsVector);
         TensorVector outputTensorVector = null;
         if (output.isTensorList()) {