addressed CR feedback (new overload for PastValueNode constructor)

Source/CNTKv2LibraryDll/Function.cpp

@@ -972,11 +972,10 @@ namespace CNTK
             Variable initialStateVar = functionInputs[1];
 
             size_t offset = primitiveFunction->Attributes()[PrimitiveFunction::AttributeNameOffset].Value<size_t>();
-            float dummyInitialStateValue = 0.0f; // Not really used but then why are we forced to pass this?
             if (op == PrimitiveOpType::PastValue)
-                computationNodePtr = New<PastValueNode<ElementType>>(network->GetDeviceId(), functionName, dummyInitialStateValue, AsTensorShape(inputOperandVar.Shape()), offset);
+                computationNodePtr = New<PastValueNode<ElementType>>(network->GetDeviceId(), functionName, AsTensorShape(inputOperandVar.Shape()), offset);
             else
-                computationNodePtr = New<FutureValueNode<ElementType>>(network->GetDeviceId(), functionName, dummyInitialStateValue, AsTensorShape(inputOperandVar.Shape()), offset);
+                computationNodePtr = New<FutureValueNode<ElementType>>(network->GetDeviceId(), functionName, AsTensorShape(inputOperandVar.Shape()), offset);
 
             break;
         }

Source/ComputationNetworkLib/RecurrentNodes.h

@@ -117,6 +117,10 @@ public:
         : Base(deviceId, name, fixedInitialStateScalarValue, sampleLayout, timeStep)
     {
     }
+    PastValueNode(DEVICEID_TYPE deviceId, const wstring& name, const TensorShape& sampleLayout, size_t timeStep)
+        : Base(deviceId, name, (ElemType)0, sampleLayout, timeStep)
+    {
+    }
     PastValueNode(DEVICEID_TYPE deviceId, const wstring& name, ElemType fixedInitialStateScalarValue, size_t numRows, size_t timeStep)
         : PastValueNode(deviceId, name, fixedInitialStateScalarValue, TensorShape(numRows), timeStep)
     {
@@ -147,6 +151,10 @@ public:
         : Base(deviceId, name, fixedInitialStateScalarValue, sampleLayout, timeStep)
     {
     }
+    FutureValueNode(DEVICEID_TYPE deviceId, const wstring& name, const TensorShape& sampleLayout, size_t timeStep)
+        : Base(deviceId, name, (ElemType)0, sampleLayout, timeStep)
+    {
+    }
     FutureValueNode(DEVICEID_TYPE deviceId, const wstring& name, ElemType fixedInitialStateScalarValue, size_t numRows, size_t timeStep)
         : FutureValueNode(deviceId, name, fixedInitialStateScalarValue, TensorShape(numRows), timeStep)
     {