Some fixes: correct CMakeLists.txt generation for tensorflow dependencies and...

Some fixes: correct CMakeLists.txt generation for tensorflow dependencies and the gloun part in backend.java and pom.xml added

pom.xml

@@ -81,6 +81,12 @@
             <version>${cnnarch-mxnet-generator.version}</version>
         </dependency>
 
+	<dependency>
+            <groupId>de.monticore.lang.monticar</groupId>
+            <artifactId>cnnarch-gluon-generator</artifactId>
+            <version>${cnnarch-gluon-generator.version}</version>
+        </dependency>
+
         <dependency>
             <groupId>de.monticore.lang.monticar</groupId>
             <artifactId>cnnarch-gluon-generator</artifactId>

src/main/java/de/monticore/lang/monticar/emadl/generator/Backend.java

 package de.monticore.lang.monticar.emadl.generator;
 
-
 import de.monticore.lang.monticar.cnnarch.generator.CNNArchGenerator;
 import de.monticore.lang.monticar.cnnarch.generator.CNNTrainGenerator;
 import de.monticore.lang.monticar.cnnarch.gluongenerator.CNNArch2Gluon;
@@ -45,7 +44,7 @@ public enum Backend {
         public CNNTrainGenerator getCNNTrainGenerator() {
             return new CNNTrain2Gluon(new RewardFunctionCppGenerator());
         }
-    };
+    },
     TENSORFLOW{
         @Override
         public CNNArchGenerator getCNNArchGenerator() {
@@ -69,7 +68,7 @@ public enum Backend {
                 
             case "GLUON":
                 return Optional.of(GLUON);
-                
+
             case "TENSORFLOW":
                 return Optional.of(TENSORFLOW);
 

src/main/java/de/monticore/lang/monticar/emadl/generator/EMADLGenerator.java

@@ -239,15 +239,13 @@ public class EMADLGenerator {
             String b = backend.getBackendString(backend);
             String trainingDataHash = "";
             String testDataHash = "";
-            
-            if (architecture.get().getDataPath() != null) {
-                if (b.equals("CAFFE2")) {
-                    trainingDataHash = getChecksumForFile(architecture.get().getDataPath() + "/train_lmdb/data.mdb");
-                    testDataHash = getChecksumForFile(architecture.get().getDataPath() + "/test_lmdb/data.mdb");
-                } else {
-                    trainingDataHash = getChecksumForFile(architecture.get().getDataPath() + "/train.h5");
-                    testDataHash = getChecksumForFile(architecture.get().getDataPath() + "/test.h5");
-                }
+
+            if(b.equals("CAFFE2")){ //TODO: TensorFlow (really? we can use .h5 files for tensorflow, a seperate library is used anyway, see the example code)
+                trainingDataHash = getChecksumForFile(architecture.get().getDataPath() + "/train_lmdb/data.mdb");
+                testDataHash = getChecksumForFile(architecture.get().getDataPath() + "/test_lmdb/data.mdb");
+            }else{
+                trainingDataHash = getChecksumForFile(architecture.get().getDataPath() + "/train.h5");
+                testDataHash = getChecksumForFile(architecture.get().getDataPath() + "/test.h5");
             }
             String trainingHash = emadlHash + "#" + cnntHash + "#" + trainingDataHash + "#" + testDataHash;