dump mem info

source/tensor/XTensor.cpp

@@ -63,7 +63,6 @@
 /* the nts (NiuTrans.Tensor) namespace */
 namespace nts{
 
-MTYPE xtensorMemUsed = 0;
 int tensorIDGlobal = 0;
 MUTEX_HANDLE tensorMutex;
 XTensor NULLTensor;
@@ -255,16 +254,13 @@ void XTensor::Init()
 /* delete data arrays */
 void XTensor::DestroyData()
 {
-    MUTEX_LOCK(tensorMutex);
-    xtensorMemUsed += GetDataSizeInChar();
-    MUTEX_UNLOCK(tensorMutex);
-
     if(data != NULL && mem == NULL && !isShared)
         XMemFree(devID, data);
     else if(data != NULL && isInGlobalMem)
         FreeData(this, mem);
     else if(data != NULL)
         mem->Release(data, GetDataSizeInChar(), signature);
+    
     data = NULL;
 
     if(dataHost != NULL)
@@ -1301,12 +1297,8 @@ bool XTensor::Resize(const int myOrder, const int * myDimSize,
     if(data != NULL){
         if (mem == NULL)
             XMemFree(devID, data);
-        else{
+        else
             mem->Release(data, GetDataSizeInChar(), signature);
-            MUTEX_LOCK(tensorMutex);
-            xtensorMemUsed -= GetDataSizeInChar();
-            MUTEX_UNLOCK(tensorMutex);
-        }
     }
 
     signature = mem != NULL ? mem->GetSignature() : 0;
@@ -1373,12 +1365,9 @@ bool XTensor::Resize(const int myOrder, const int * myDimSize,
                 d = new int[size];
                 memset(d, 0, size);
             }
-            else
+            else{
                 d = (int*)mem->Alloc(mem->devID, size);
-
-            MUTEX_LOCK(tensorMutex);
-            xtensorMemUsed += size;
-            MUTEX_UNLOCK(tensorMutex);
+            }
 
             if(d == NULL)
                 return false;

source/tensor/XTensor.h

@@ -387,9 +387,6 @@ public:
     void FreeData(XTensor * matrix, XMem * myMem = NULL, bool useBuf = false);
 };
 
-/* record of mem consumption (for XTensor) */
-extern MTYPE xtensorMemUsed;
-
 /* we make a unique id for every tensor */
 extern int tensorIDGlobal;
 extern MUTEX_HANDLE tensorMutex;

source/tensor/function/Softmax.cpp

@@ -207,7 +207,7 @@ void _SoftmaxBackward(XTensor * gold, XTensor * y, XTensor * x,
         DTYPE * gp = gold != NULL ? (DTYPE*)gold->data : NULL;
         DTYPE * op = (DTYPE*)y->data;
         DTYPE * sp = (DTYPE*)dedx->data;
-        DTYPE * yp = (DTYPE*)dedy->data;
+        DTYPE * yp = NULL;
 
         if(lossName == CROSSENTROPY){
             if(gold->isSparse){