(typo)

Source/ComputationNetworkLib/ComputationNetwork.h

@@ -751,7 +751,7 @@ public:
         while (!result.second/*if already there*/ && result.first->second != node)
         {
             if (!makeUniqueName || node->NodeName().find_first_of(L".[]") == wstring::npos)
-                RuntimeError("AddNodeToNetIfNotYet: Duplicated name for %ls %ls operation (%d vs. %sd).", node->NodeName().c_str(), node->OperationName().c_str(), (int)node->m_uniqueNumericId, (int)result.first->second->m_uniqueNumericId);
+                RuntimeError("AddNodeToNetIfNotYet: Duplicated name for %ls %ls operation (%d vs. %d).", node->NodeName().c_str(), node->OperationName().c_str(), (int)node->m_uniqueNumericId, (int)result.first->second->m_uniqueNumericId);
             node->SetName(L"_" + node->NodeName());
             result = m_nameToNodeMap.insert(make_pair(node->NodeName(), node));
         }

Source/Math/GPUMatrix.cu

@@ -3128,8 +3128,8 @@ void GPUMatrix<ElemType>::BatchNormalizationForward(const GPUMatrix<ElemType>& s
     // If expAvgFactor == 0 && blendFactor == 1 then we don't need to compute current minibatch statistics.
     if (expAvgFactor > 0 || blendFactor < 1)
     {
-        saveMean->RequireSize(runMean);
-        saveInvStdDev->RequireSize(runMean);
+        saveMean.RequireSize(runMean);
+        saveInvStdDev.RequireSize(runMean);
         if (spatial)
         {
             Call<ComputeSpatialBatchMeanAndInvStdDev, ElemType>(spatialSize, vectorSize, spatialSize, batchSize, Data(),
@@ -3145,8 +3145,8 @@ void GPUMatrix<ElemType>::BatchNormalizationForward(const GPUMatrix<ElemType>& s
     }
     else // not computing new statistics
     {
-        saveMean->RequireSize(0, 0);
-        saveInvStdDev->RequireSize(0, 0);
+        saveMean.RequireSize(0, 0);
+        saveInvStdDev.RequireSize(0, 0);
     }
 
     // --- apply MAP estimates of mean/stddev (interpolation of data and running mean/stddev) to data