misc

src/test/resources/invalid_tests/EpisodicMemoryInvalidPlacement.cnna

@@ -5,11 +5,11 @@ architecture EpisodicMemoryInvalidPlacement{
 
     data ->
     (
-        EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1, replayMemoryStoreProb=0.5, localAdaptionGradientSteps=30, maxStoredSamples=-1, localAdaptionK=32, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
+        EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1, memoryStoreProb=1, maxStoredSamples=-1, memoryReplacementStrategy="no_replacement", useLocalAdaptation=true, localAdaptationK=32, localAdaptationGradientSteps=30, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
 	    FullyConnected(units=33) ->
         Softmax()
     |
-        EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1, replayMemoryStoreProb=0.5, localAdaptionGradientSteps=30, maxStoredSamples=-1, localAdaptionK=32, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
+        EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1, memoryStoreProb=1, maxStoredSamples=-1, memoryReplacementStrategy="no_replacement", useLocalAdaptation=true, localAdaptationK=32, localAdaptationGradientSteps=30, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
 	    FullyConnected(units=33) ->
         Softmax()
     ) ->

src/test/resources/valid_tests/EpisodicMemoryNetwork.cnna

@@ -4,11 +4,11 @@ architecture EpisodicMemoryNetwork{
     def output Q(0:1)^{33} softmax
 
     data ->
-    EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1, replayMemoryStoreProb=0.5, localAdaptionGradientSteps=30, maxStoredSamples=-1, localAdaptionK=32, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
+    EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1, memoryStoreProb=1, maxStoredSamples=-1, memoryReplacementStrategy="no_replacement", useLocalAdaptation=true, localAdaptationK=32, localAdaptationGradientSteps=30, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
     FullyConnected(units=33) ->
-    EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1, replayMemoryStoreProb=0.5, localAdaptionGradientSteps=30, maxStoredSamples=-1, localAdaptionK=32, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
+    EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1, memoryStoreProb=1, maxStoredSamples=-1, memoryReplacementStrategy="no_replacement", useLocalAdaptation=true, localAdaptationK=32, localAdaptationGradientSteps=30, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
 	FullyConnected(units=33) ->
-    EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1, replayMemoryStoreProb=0.5, localAdaptionGradientSteps=30, maxStoredSamples=-1, localAdaptionK=32, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
+    EpisodicMemory(replayInterval=78, replayBatchSize=100, replaySteps=1, replayGradientSteps=1, memoryStoreProb=1, maxStoredSamples=-1, memoryReplacementStrategy="no_replacement", useLocalAdaptation=true, localAdaptationK=32, localAdaptationGradientSteps=30, queryNetDir="pretrained", queryNetPrefix="network_name-", queryNetNumInputs=1) ->
 	FullyConnected(units=33) ->
     Softmax() ->
     softmax;