Cont

Source/ActionsLib/SimpleNetworkBuilder.h

@@ -159,9 +159,13 @@ public:
         m_constInputGateValue  = config("constInputGateValue",  "false");
         m_constOutputGateValue = config("constOutputGateValue", "false");
 
-        m_forgetGateInitVal = config("forgetGateInitVal", "-1");
-        m_inputGateInitVal  = config("inputGateInitVal",  "-1");
-        m_outputGateInitVal = config("outputGateInitVal", "-1");
+        ElemType forgetGateInitVal = config("forgetGateInitVal", "-1");
+        ElemType inputGateInitVal = config("inputGateInitVal", "-1");
+        ElemType outputGateInitVal = config("outputGateInitVal", "-1");
+
+        m_forgetGateInitVal = forgetGateInitVal;
+        m_inputGateInitVal = inputGateInitVal;
+        m_outputGateInitVal = outputGateInitVal;
 
         m_sparse_input = config("sparseinput", "false");
 

Source/SGDLib/SimpleEvaluator.h

@@ -56,6 +56,7 @@ public:
     // returns evaluation node values per sample determined by evalNodeNames (which can include both training and eval criterion nodes)
     vector<EpochCriterion> Evaluate(IDataReader* dataReader, const vector<wstring>& evalNodeNames, const size_t mbSize, const size_t testSize = requestDataSize)
     {
+        fprintf(stderr, "========================= Entered Evaluate in SimpleEvaluator.h \n");
         ScopedNetworkOperationMode modeGuard(m_net, NetworkOperationMode::inferring);
 
         let evalNodes = m_net->GetEvalNodesWithName(evalNodeNames);