introduced tests for intra GAN CoCos

src/main/grammars/de/monticore/lang/monticar/CNNTrain.mc4

@@ -281,7 +281,6 @@ grammar CNNTrain extends de.monticore.lang.monticar.Common2, de.monticore.Number
     GeneratorLossWeightEntry implements ConfigEntry = name:"generator_loss_weight" ":" value:NumberValue;
     DiscriminatorLossWeightEntry implements ConfigEntry = name:"discriminator_loss_weight" ":" value:NumberValue;
 
-    SpeedPeriodEntry implements ConfigEntry = name:"speed_period" ":" value:IntegerValue;
     PrintImagesEntry implements ConfigEntry = name:"print_images" ":" value:BooleanValue;
 
     interface MultiParamValueMapConfigEntry extends ConfigEntry;

src/main/java/de/monticore/lang/monticar/cnntrain/_cocos/ASTConfigurationUtils.java

@@ -21,6 +21,12 @@ class ASTConfigurationUtils {
                         && ((ASTLearningMethodEntry)e).getValue().isPresentReinforcement());
     }
 
+    static boolean isGANLearning(final ASTConfiguration configuration) {
+        return configuration.getEntriesList().stream().anyMatch(e ->
+                (e instanceof ASTLearningMethodEntry)
+                        && ((ASTLearningMethodEntry)e).getValue().isPresentGan());
+    }
+
     static boolean hasEnvironment(final ASTConfiguration configuration) {
         return configuration.getEntriesList().stream().anyMatch(e -> e instanceof ASTEnvironmentEntry);
     }
@@ -108,4 +114,32 @@ class ASTConfigurationUtils {
         }
         return false;
     }
+
+    static boolean hasGeneratorLoss(final ASTConfiguration node) {
+        return node.getEntriesList().stream().anyMatch(e -> e instanceof ASTGeneratorLossEntry);
+    }
+
+    static boolean hasGeneratorTargetName(final ASTConfiguration node) {
+        return node.getEntriesList().stream().anyMatch(e -> e instanceof ASTGeneratorTargetNameEntry);
+    }
+
+    static boolean hasNoiseName(final ASTConfiguration node) {
+        return node.getEntriesList().stream().anyMatch(e -> e instanceof ASTNoiseInputEntry);
+    }
+
+    static boolean hasNoiseDistribution(final ASTConfiguration node) {
+        return node.getEntriesList().stream().anyMatch(e -> e instanceof ASTNoiseDistributionEntry);
+    }
+
+    static boolean hasConstraintDistribution(final ASTConfiguration node) {
+        return node.getEntriesList().stream().anyMatch(e -> e instanceof ASTConstraintDistributionEntry);
+    }
+
+    static boolean hasConstraintLosses(final ASTConfiguration node) {
+        return node.getEntriesList().stream().anyMatch(e -> e instanceof ASTConstraintLossEntry);
+    }
+
+    static boolean hasQNetwork(final ASTConfiguration node) {
+        return node.getEntriesList().stream().anyMatch(e -> e instanceof ASTQNetworkEntry);
+    }
 }

src/main/java/de/monticore/lang/monticar/cnntrain/_cocos/CNNTrainCocos.java

@@ -27,7 +27,12 @@ public class CNNTrainCocos {
                 .addCoCo(new CheckRlAlgorithmParameter())
                 .addCoCo(new CheckDiscreteRLAlgorithmUsesDiscreteStrategy())
                 .addCoCo(new CheckContinuousRLAlgorithmUsesContinuousStrategy())
-                .addCoCo(new CheckRosEnvironmentHasOnlyOneRewardSpecification());
+                .addCoCo(new CheckRosEnvironmentHasOnlyOneRewardSpecification())
+                .addCoCo(new CheckConstraintDistributionQNetworkDependency())
+                .addCoCo(new CheckConstraintLossesQNetworkDependency())
+                .addCoCo(new CheckGeneratorLossTargetNameDependency())
+                .addCoCo(new CheckNoiseInputDistributionDependency())
+                .addCoCo(new CheckNoiseInputMissing());
     }
 
     public static void checkAll(CNNTrainCompilationUnitSymbol compilationUnit){
@@ -54,8 +59,7 @@ public class CNNTrainCocos {
 
     public static void checkGANCocos(final ConfigurationSymbol configurationSymbol) {
         CNNTrainConfigurationSymbolChecker checker = new CNNTrainConfigurationSymbolChecker()
-                .addCoCo(new CheckGANNetworkPorts())
-                .addCoCo(new CheckGANConfigurationDependencies());
+                .addCoCo(new CheckGANNetworkPorts());
         checker.checkAll(configurationSymbol);
     }
 }
\ No newline at end of file

src/main/java/de/monticore/lang/monticar/cnntrain/_cocos/CheckConstraintDistributionQNetworkDependency.java

+/**
+ * (c) https://github.com/MontiCore/monticore
+ *
+ * The license generally applicable for this project
+ * can be found under https://github.com/MontiCore/monticore.
+ */
+/* (c) https://github.com/MontiCore/monticore */
+package de.monticore.lang.monticar.cnntrain._cocos;
+
+import de.monticore.lang.monticar.cnntrain._ast.ASTConfiguration;
+import de.monticore.lang.monticar.cnntrain.helper.ErrorCodes;
+import de.se_rwth.commons.logging.Log;
+
+import static de.monticore.lang.monticar.cnntrain._cocos.ASTConfigurationUtils.*;
+
+public class CheckConstraintDistributionQNetworkDependency implements CNNTrainASTConfigurationCoCo {
+    @Override
+    public void check(final ASTConfiguration node) {
+        if (isGANLearning(node) && hasConstraintDistribution(node)) {
+            if (!hasQNetwork(node)) {
+                Log.error("0" + ErrorCodes.REQUIRED_PARAMETER_MISSING +
+                        " Constraint distributions are given but q-network is missing");
+            }
+        }
+    }
+}

src/main/java/de/monticore/lang/monticar/cnntrain/_cocos/CheckConstraintLossesQNetworkDependency.java

+/**
+ * (c) https://github.com/MontiCore/monticore
+ *
+ * The license generally applicable for this project
+ * can be found under https://github.com/MontiCore/monticore.
+ */
+/* (c) https://github.com/MontiCore/monticore */
+package de.monticore.lang.monticar.cnntrain._cocos;
+
+import de.monticore.lang.monticar.cnntrain._ast.ASTConfiguration;
+import de.monticore.lang.monticar.cnntrain.helper.ErrorCodes;
+import de.se_rwth.commons.logging.Log;
+
+import static de.monticore.lang.monticar.cnntrain._cocos.ASTConfigurationUtils.*;
+
+public class CheckConstraintLossesQNetworkDependency implements CNNTrainASTConfigurationCoCo {
+    @Override
+    public void check(final ASTConfiguration node) {
+        if (isGANLearning(node) && hasConstraintLosses(node)) {
+            if (!hasQNetwork(node)) {
+                Log.error("0" + ErrorCodes.REQUIRED_PARAMETER_MISSING +
+                        " Constraint losses are given but q-network is missing");
+            }
+        }
+    }
+}

src/main/java/de/monticore/lang/monticar/cnntrain/_cocos/CheckDiscreteRLAlgorithmUsesDiscreteStrategy.java

@@ -32,4 +32,5 @@ public class CheckDiscreteRLAlgorithmUsesDiscreteStrategy implements CNNTrainAST
             }
         }
     }
+
 }

src/main/java/de/monticore/lang/monticar/cnntrain/_cocos/CheckGANConfigurationDependencies.java

-/**
- * (c) https://github.com/MontiCore/monticore
- *
- * The license generally applicable for this project
- * can be found under https://github.com/MontiCore/monticore.
- */
-package de.monticore.lang.monticar.cnntrain._cocos;
-
-import de.monticore.lang.monticar.cnntrain._ast.ASTEntry;
-import de.monticore.lang.monticar.cnntrain._ast.ASTLearningMethodEntry;
-import de.monticore.lang.monticar.cnntrain._symboltable.ConfigurationSymbol;
-import de.monticore.lang.monticar.cnntrain._symboltable.LearningMethod;
-import de.monticore.lang.monticar.cnntrain.helper.ConfigEntryNameConstants;
-import de.monticore.lang.monticar.cnntrain.helper.ErrorCodes;
-import de.se_rwth.commons.logging.Log;
-import sun.security.krb5.internal.ccache.CredentialsCache;
-
-public class CheckGANConfigurationDependencies implements CNNTrainConfigurationSymbolCoCo{
-
-    public CheckGANConfigurationDependencies() { }
-
-    @Override
-    public void check(ConfigurationSymbol configurationSymbol) {
-
-        if(configurationSymbol.getLearningMethod() == LearningMethod.GAN) {
-
-            if (configurationSymbol.getEntry(ConfigEntryNameConstants.GENERATOR_LOSS) != null)
-                if (configurationSymbol.getEntry(ConfigEntryNameConstants.GENERATOR_TARGET_NAME) == null)
-                    Log.error("0" + ErrorCodes.REQUIRED_PARAMETER_MISSING +
-                            " Generator loss specified but conditional input is missing");
-
-            if (configurationSymbol.getEntry(ConfigEntryNameConstants.GENERATOR_TARGET_NAME) != null)
-                if (configurationSymbol.getEntry(ConfigEntryNameConstants.GENERATOR_LOSS) == null)
-                    Log.error("0" + ErrorCodes.REQUIRED_PARAMETER_MISSING +
-                            " Conditional input specified but generator loss is missing");
-
-            if (configurationSymbol.getEntry(ConfigEntryNameConstants.LOSS) != null)
-                Log.error("0" + ErrorCodes.UNSUPPORTED_PARAMETER +
-                        " Loss parameter not valid for GAN learning");
-
-            if (configurationSymbol.getEntry(ConfigEntryNameConstants.NOISE_INPUT) != null)
-                if (configurationSymbol.getEntry(ConfigEntryNameConstants.NOISE_DISTRIBUTION) == null)
-                    Log.error("0" + ErrorCodes.REQUIRED_PARAMETER_MISSING +
-                            " Noise input specified but noise distribution parameter is missing");
-
-            if (configurationSymbol.getEntry(ConfigEntryNameConstants.CONSTRAINT_DISTRIBUTION) != null)
-                if (configurationSymbol.getEntry(ConfigEntryNameConstants.QNETWORK_NAME) == null)
-                    Log.error("0" + ErrorCodes.REQUIRED_PARAMETER_MISSING +
-                            " Constraint distributions are given but q-network is missing");
-
-            if (configurationSymbol.getEntry(ConfigEntryNameConstants.CONSTRAINT_LOSS) != null)
-                if (configurationSymbol.getEntry(ConfigEntryNameConstants.QNETWORK_NAME) == null)
-                    Log.error("0" + ErrorCodes.REQUIRED_PARAMETER_MISSING +
-                            " Constraint losses are given but q-network is missing");
-
-            if (configurationSymbol.getEntry(ConfigEntryNameConstants.NOISE_INPUT) == null)
-                Log.warn(" No noise input specified. Are you sure this is correct?");
-        }
-    }
-}

src/main/java/de/monticore/lang/monticar/cnntrain/_cocos/CheckGeneratorLossTargetNameDependency.java

+/**
+ * (c) https://github.com/MontiCore/monticore
+ *
+ * The license generally applicable for this project
+ * can be found under https://github.com/MontiCore/monticore.
+ */
+/* (c) https://github.com/MontiCore/monticore */
+package de.monticore.lang.monticar.cnntrain._cocos;
+
+import de.monticore.lang.monticar.cnntrain._ast.ASTConfiguration;
+import de.monticore.lang.monticar.cnntrain.helper.ErrorCodes;
+import de.se_rwth.commons.logging.Log;
+
+import static de.monticore.lang.monticar.cnntrain._cocos.ASTConfigurationUtils.*;
+
+public class CheckGeneratorLossTargetNameDependency implements CNNTrainASTConfigurationCoCo {
+    @Override
+    public void check(final ASTConfiguration node) {
+        if (isGANLearning(node) && hasGeneratorLoss(node)) {
+            if (!hasGeneratorTargetName(node)) {
+                Log.error("0" + ErrorCodes.REQUIRED_PARAMETER_MISSING +
+                        " Generator loss specified but conditional input is missing");
+            }
+        }
+        else if (isGANLearning(node) && hasGeneratorTargetName(node)) {
+            if (!hasGeneratorLoss(node)) {
+                Log.error("0" + ErrorCodes.REQUIRED_PARAMETER_MISSING +
+                        " Conditional input specified but generator loss is missing");
+            }
+        }
+    }
+}

src/main/java/de/monticore/lang/monticar/cnntrain/_cocos/CheckLearningParameterCombination.java

@@ -7,7 +7,6 @@
 /* (c) https://github.com/MontiCore/monticore */
 package de.monticore.lang.monticar.cnntrain._cocos;
 
-import com.google.common.collect.Lists;
 import de.monticore.lang.monticar.cnntrain._ast.*;
 import de.monticore.lang.monticar.cnntrain._symboltable.LearningMethod;
 import de.monticore.lang.monticar.cnntrain.helper.ErrorCodes;
@@ -53,14 +52,24 @@ public class CheckLearningParameterCombination implements CNNTrainASTEntryCoCo {
             = parameterAlgorithmMapping.isSupervisedLearningParameter(node.getClass());
         final boolean reinforcementLearningParameter
             = parameterAlgorithmMapping.isReinforcementLearningParameter(node.getClass());
+        final boolean ganLearningParameter
+                = parameterAlgorithmMapping.isGANLearningParameter(node.getClass());
 
-        assert (supervisedLearningParameter  || reinforcementLearningParameter) :
+        assert (supervisedLearningParameter  || reinforcementLearningParameter || ganLearningParameter) :
                 "Parameter " + node.getName() + " is not checkable, because it is unknown to Condition";
 
-        if (supervisedLearningParameter && !reinforcementLearningParameter) {
+        if (supervisedLearningParameter && !reinforcementLearningParameter && !ganLearningParameter) {
             setLearningMethodOrLogErrorIfActualLearningMethodIsNotSupervised(node);
-        } else if(!supervisedLearningParameter && reinforcementLearningParameter) {
+        } else if(!supervisedLearningParameter && reinforcementLearningParameter && !ganLearningParameter) {
             setLearningMethodOrLogErrorIfActualLearningMethodIsNotReinforcement(node);
+        } else if(!supervisedLearningParameter && !reinforcementLearningParameter && ganLearningParameter) {
+            setLearningMethodOrLogErrorIfActualLearningMethodIsNotGAN(node);
+        } else if(learningMethodKnown && learningMethod.equals(LearningMethod.REINFORCEMENT)
+                && supervisedLearningParameter && !reinforcementLearningParameter) {
+            setLearningMethodOrLogErrorIfActualLearningMethodIsNotSupervised(node);
+        } else if(learningMethodKnown && learningMethod.equals(LearningMethod.REINFORCEMENT)
+                && ganLearningParameter && !reinforcementLearningParameter) {
+            setLearningMethodOrLogErrorIfActualLearningMethodIsNotGAN(node);
     }
 }
 
@@ -88,11 +97,25 @@ public class CheckLearningParameterCombination implements CNNTrainASTEntryCoCo {
         }
     }
 
+    private void setLearningMethodOrLogErrorIfActualLearningMethodIsNotGAN(ASTEntry node) {
+        if (isLearningMethodKnown()) {
+            if (!learningMethod.equals(LearningMethod.GAN)) {
+                Log.error("0" + ErrorCodes.UNSUPPORTED_PARAMETER + " Parameter "
+                                + node.getName() + " is not supported for " + this.learningMethod + " learning.",
+                        node.get_SourcePositionStart());
+            }
+        } else {
+            setLearningMethodToGAN();
+        }
+    }
+
     private void evaluateLearningMethodEntry(ASTEntry node) {
         ASTLearningMethodValue learningMethodValue = (ASTLearningMethodValue)node.getValue();
         LearningMethod evaluatedLearningMethod;
         if(learningMethodValue.isPresentReinforcement())
             evaluatedLearningMethod = LearningMethod.REINFORCEMENT;
+        else if(learningMethodValue.isPresentGan())
+            evaluatedLearningMethod = LearningMethod.GAN;
         else
             evaluatedLearningMethod = LearningMethod.SUPERVISED;
 
@@ -126,6 +149,9 @@ public class CheckLearningParameterCombination implements CNNTrainASTEntryCoCo {
         if (learningMethod.equals(LearningMethod.REINFORCEMENT)) {
             return parameterAlgorithmMapping.getAllReinforcementParameters();
         }
+        if (learningMethod.equals(LearningMethod.GAN)) {
+            return parameterAlgorithmMapping.getAllGANParameters();
+        }
 
         return parameterAlgorithmMapping.getAllSupervisedParameters();
     }
@@ -134,6 +160,8 @@ public class CheckLearningParameterCombination implements CNNTrainASTEntryCoCo {
     private void setLearningMethod(final LearningMethod learningMethod) {
         if (learningMethod.equals(LearningMethod.REINFORCEMENT))
             setLearningMethodToReinforcement();
+        else if (learningMethod.equals(LearningMethod.GAN))
+            setLearningMethodToGAN();
         else
             setLearningMethodToSupervised();
     }
@@ -147,4 +175,9 @@ public class CheckLearningParameterCombination implements CNNTrainASTEntryCoCo {
         this.learningMethod = LearningMethod.REINFORCEMENT;
         this.learningMethodKnown = true;
     }
+
+    private void setLearningMethodToGAN() {
+        this.learningMethod = LearningMethod.GAN;
+        this.learningMethodKnown = true;
+    }
 }

src/main/java/de/monticore/lang/monticar/cnntrain/_cocos/CheckNoiseInputDistributionDependency.java

+/**
+ * (c) https://github.com/MontiCore/monticore
+ *
+ * The license generally applicable for this project
+ * can be found under https://github.com/MontiCore/monticore.
+ */
+/* (c) https://github.com/MontiCore/monticore */
+package de.monticore.lang.monticar.cnntrain._cocos;
+
+import de.monticore.lang.monticar.cnntrain._ast.ASTConfiguration;
+import de.monticore.lang.monticar.cnntrain.helper.ErrorCodes;
+import de.se_rwth.commons.logging.Log;
+
+import static de.monticore.lang.monticar.cnntrain._cocos.ASTConfigurationUtils.*;
+
+public class CheckNoiseInputDistributionDependency implements CNNTrainASTConfigurationCoCo {
+    @Override
+    public void check(final ASTConfiguration node) {
+        if (isGANLearning(node) && hasNoiseName(node)) {
+            if (!hasNoiseDistribution(node)) {
+                Log.error("0" + ErrorCodes.REQUIRED_PARAMETER_MISSING +
+                        " Noise input specified but noise distribution parameter is missing");
+            }
+        }
+    }
+}

src/main/java/de/monticore/lang/monticar/cnntrain/_cocos/CheckNoiseInputMissing.java

+/**
+ * (c) https://github.com/MontiCore/monticore
+ *
+ * The license generally applicable for this project
+ * can be found under https://github.com/MontiCore/monticore.
+ */
+/* (c) https://github.com/MontiCore/monticore */
+package de.monticore.lang.monticar.cnntrain._cocos;
+
+import de.monticore.lang.monticar.cnntrain._ast.ASTConfiguration;
+import de.monticore.lang.monticar.cnntrain.helper.ConfigEntryNameConstants;
+import de.monticore.lang.monticar.cnntrain.helper.ErrorCodes;
+import de.se_rwth.commons.logging.Log;
+
+import static de.monticore.lang.monticar.cnntrain._cocos.ASTConfigurationUtils.*;
+
+public class CheckNoiseInputMissing implements CNNTrainASTConfigurationCoCo {
+    @Override
+    public void check(final ASTConfiguration node) {
+        if (isGANLearning(node)) {
+            if (!hasNoiseName(node)) {
+                Log.warn(ErrorCodes.MISSING_PARAMETER_VALUE_CODE + " No noise input specified. Are you sure this is correct?");
+            }
+        }
+    }
+}

src/main/java/de/monticore/lang/monticar/cnntrain/_cocos/ParameterAlgorithmMapping.java

@@ -137,8 +137,26 @@ class ParameterAlgorithmMapping {
             ASTNoiseInputEntry.class,
             ASTGeneratorLossWeightEntry.class,
             ASTDiscriminatorLossWeightEntry.class,
-            ASTSpeedPeriodEntry.class,
-            ASTPrintImagesEntry.class
+            ASTPrintImagesEntry.class,
+            ASTMeanValueEntry.class,
+            ASTSpreadValueEntry.class,
+            ASTBatchSizeEntry.class,
+            ASTLoadCheckpointEntry.class,
+            ASTCheckpointPeriodEntry.class,
+            ASTLoadPretrainedEntry.class,
+            ASTLogPeriodEntry.class,
+            ASTNormalizeEntry.class,
+            ASTNumEpochEntry.class,
+            ASTLossWeightsEntry.class,
+            ASTSparseLabelEntry.class,
+            ASTLossAxisEntry.class,
+            ASTBatchAxisEntry.class,
+            ASTFromLogitsEntry.class,
+            ASTIgnoreIndicesEntry.class,
+            ASTIgnoreLabelEntry.class,
+            ASTMarginEntry.class,
+            ASTLabelFormatEntry.class,
+            ASTRhoEntry.class
     );
 
     ParameterAlgorithmMapping() {
@@ -164,13 +182,11 @@ class ParameterAlgorithmMapping {
 
     boolean isSupervisedLearningParameter(Class<? extends ASTEntry> entryClazz) {
         return GENERAL_PARAMETERS.contains(entryClazz)
-            || EXCLUSIVE_SUPERVISED_PARAMETERS.contains(entryClazz);
-
+                || EXCLUSIVE_SUPERVISED_PARAMETERS.contains(entryClazz);
     }
 
     boolean isGANLearningParameter(Class<? extends ASTEntry> entryClazz) {
         return GENERAL_PARAMETERS.contains(entryClazz)
-                || EXCLUSIVE_SUPERVISED_PARAMETERS.contains(entryClazz)
                 || GENERAL_GAN_PARAMETERS.contains(entryClazz);
 
     }
@@ -196,7 +212,6 @@ class ParameterAlgorithmMapping {
     List<Class> getAllGANParameters() {
         return ImmutableList.<Class> builder()
                 .addAll(GENERAL_PARAMETERS)
-                .addAll(EXCLUSIVE_SUPERVISED_PARAMETERS)
                 .addAll(GENERAL_GAN_PARAMETERS)
                 .build();
     }
@@ -215,7 +230,6 @@ class ParameterAlgorithmMapping {
         return ImmutableList.<Class> builder()
             .addAll(GENERAL_PARAMETERS)
             .addAll(EXCLUSIVE_SUPERVISED_PARAMETERS)
-            .addAll(GENERAL_GAN_PARAMETERS)
             .build();
     }
 }

src/main/java/de/monticore/lang/monticar/cnntrain/_symboltable/CNNTrainSymbolTableCreator.java

@@ -168,14 +168,6 @@ public class CNNTrainSymbolTableCreator extends CNNTrainSymbolTableCreatorTOP {
         configuration.getEntryMap().put(node.getName(), entry);
     }
 
-    @Override
-    public void endVisit(ASTSpeedPeriodEntry node) {
-        EntrySymbol entry = new EntrySymbol(node.getName());
-        entry.setValue(getValueSymbolForInteger(node.getValue()));
-        addToScopeAndLinkWithNode(entry, node);
-        configuration.getEntryMap().put(node.getName(), entry);
-    }
-
     @Override
     public void endVisit(ASTPrintImagesEntry node) {
         EntrySymbol entry = new EntrySymbol(node.getName());

src/main/java/de/monticore/lang/monticar/cnntrain/helper/ConfigEntryNameConstants.java

@@ -59,7 +59,6 @@ public class ConfigEntryNameConstants {
     public static final String NOISE_INPUT = "noise_input";
     public static final String GENERATOR_LOSS_WEIGHT = "generator_loss_weight";
     public static final String DISCRIMINATOR_LOSS_WEIGHT = "discriminator_loss_weight";
-    public static final String SPEED_PERIOD_ENTRY = "speed_period";
     public static final String PRINT_IMAGES = "print_images";
 }
 

src/test/java/de/monticore/lang/monticar/cnntrain/cocos/AbstractCoCoTest.java

@@ -12,6 +12,8 @@ import de.monticore.lang.monticar.cnntrain._ast.ASTCNNTrainCompilationUnit;
 import de.monticore.lang.monticar.cnntrain._ast.ASTCNNTrainNode;
 import de.monticore.lang.monticar.cnntrain._cocos.CNNTrainCoCoChecker;
 import de.monticore.lang.monticar.cnntrain._cocos.CNNTrainCocos;
+import de.monticore.lang.monticar.cnntrain._cocos.CNNTrainConfigurationSymbolChecker;
+import de.monticore.lang.monticar.cnntrain._cocos.CNNTrainConfigurationSymbolCoCo;
 import de.monticore.lang.monticar.cnntrain._symboltable.CNNTrainCompilationUnitSymbol;
 import de.monticore.lang.monticar.cnntrain._symboltable.ConfigurationSymbol;
 import de.monticore.symboltable.Scope;

src/test/java/de/monticore/lang/monticar/cnntrain/cocos/AllCoCoTest.java

@@ -70,6 +70,15 @@ public class AllCoCoTest extends AbstractCoCoTest{
         checkValid("valid_tests", "ReinforcementWithRosReward");
     }
 
+    @Test
+    public void testValidDefaultGANConfig() { checkValid("valid_tests", "DefaultGANConfig"); }
+
+    @Test
+    public void testValidInfoGANDefaultGANConfig() { checkValid("valid_tests", "InfoGANConfig"); }
+
+    @Test
+    public void testValidImageGANConfig() { checkValid("valid_tests", "ImageGANConfig"); }
+
     @Test
     public void testInvalidEntryRepetition() {
         checkInvalid(new CNNTrainCoCoChecker().addCoCo(new CheckEntryRepetition()),
@@ -195,4 +204,39 @@ public class AllCoCoTest extends AbstractCoCoTest{
                 "invalid_cocos_tests", "CheckRLParameterOnlyWithLearningMethodSet",
                 new ExpectedErrorInfo(1, ErrorCodes.REQUIRED_PARAMETER_MISSING));
     }
+
+    @Test
+    public void testInvalidGeneratorLossTargetNameDependency () {
+        checkInvalid(new CNNTrainCoCoChecker().addCoCo(new CheckGeneratorLossTargetNameDependency()),
+                "invalid_cocos_tests", "CheckGeneratorLossTargetNameDependency",
+                new ExpectedErrorInfo(1, ErrorCodes.REQUIRED_PARAMETER_MISSING));
+    }
+
+    @Test
+    public void testInvalidConstraintDistributionQNetworkDependency () {
+        checkInvalid(new CNNTrainCoCoChecker().addCoCo(new CheckConstraintDistributionQNetworkDependency()),
+                "invalid_cocos_tests", "CheckConstraintDistributionQNetworkDependency",
+                new ExpectedErrorInfo(1, ErrorCodes.REQUIRED_PARAMETER_MISSING));
+    }
+
+    @Test
+    public void testInvalidConstraintLossQNetworkDependency () {
+        checkInvalid(new CNNTrainCoCoChecker().addCoCo(new CheckConstraintLossesQNetworkDependency()),
+                "invalid_cocos_tests", "CheckConstraintLossQNetworkDependency",
+                new ExpectedErrorInfo(1, ErrorCodes.REQUIRED_PARAMETER_MISSING));
+    }
+
+    @Test
+    public void testInvalidInputDistributionDependency () {
+        checkInvalid(new CNNTrainCoCoChecker().addCoCo(new CheckNoiseInputDistributionDependency()),
+                "invalid_cocos_tests", "CheckInputDistributionDependency",
+                new ExpectedErrorInfo(1, ErrorCodes.REQUIRED_PARAMETER_MISSING));
+    }
+
+    @Test
+    public void testInvalidNoiseInputMissing () {
+        checkInvalid(new CNNTrainCoCoChecker().addCoCo(new CheckNoiseInputMissing()),
+                "invalid_cocos_tests", "CheckInputMissing",
+                new ExpectedErrorInfo(1, ErrorCodes.MISSING_PARAMETER_VALUE_CODE));
+    }
 }

src/test/resources/invalid_cocos_tests/CheckConstraintDistributionQNetworkDependency.cnnt

+/* (c) https://github.com/MontiCore/monticore */
+configuration CheckConstraintDistributionQNetworkDependency {
+    learning_method: gan
+    discriminator_name: mnistGenerator.Discriminator
+    num_epoch: 10
+    batch_size: 64
+    normalize: false
+    context: cpu
+    noise_input: "noise"
+    print_images: true
+    log_period: 10
+    load_checkpoint: false
+    generator_loss_weight: 0.5
+    discriminator_loss_weight: 0.5
+    k_value: 1
+    optimizer: adam{
+            learning_rate: 0.0002
+            beta1: 0.5
+    }
+    discriminator_optimizer: adam{
+            learning_rate: 0.0002
+            beta1:0.5
+    }
+    noise_distribution: gaussian{
+            mean_value: 0