correct typos

source/tensor/XTensor.h

@@ -78,7 +78,7 @@ public:
     void * data;
     void * data;
 
 
     /* copy of data on the host memory. It is only activated 
     /* copy of data on the host memory. It is only activated 
-       when the matrix is operated on GPUs */
+       when the tensor is operated on GPUs */
     void * dataHost;
     void * dataHost;
     
     
     /* a pointer to data (i.e., a pointer to the address of "data".
     /* a pointer to data (i.e., a pointer to the address of "data".
@@ -105,7 +105,7 @@ public:
     /* data unit - data type for every cell */
     /* data unit - data type for every cell */
     TENSOR_DATA_TYPE dataType;
     TENSOR_DATA_TYPE dataType;
 
 
-    /* size of matrix unit, e.g., sizeof(int) */
+    /* size of tensor unit, e.g., sizeof(int) */
     int unitSize;
     int unitSize;
 
 
     /* number of units */
     /* number of units */
@@ -133,7 +133,7 @@ public:
     /* indicates whether the data array is shared with other tensors */
     /* indicates whether the data array is shared with other tensors */
     bool isShared;
     bool isShared;
 
 
-    /* indicates whether the date type used in this matrix is in default type (i.e., DTYPE) */
+    /* indicates whether the date type used in this tensor is in default type (i.e., DTYPE) */
     bool isDefaultDType;
     bool isDefaultDType;
 
 
     /* indicates whether the data is allocated in the global memory rather than a memory pool */
     /* indicates whether the data is allocated in the global memory rather than a memory pool */
@@ -418,12 +418,12 @@ public:
     /* set the tensor as "variable" */
     /* set the tensor as "variable" */
     void SetVarFlag(bool myIsVar = true);
     void SetVarFlag(bool myIsVar = true);
 
 
-    /* resize a matrix with a specified matrix size */
+    /* resize a tensor with a specified tensor size */
     bool Resize(const int myOrder, const int * myDimSize,
     bool Resize(const int myOrder, const int * myDimSize,
                 const TENSOR_DATA_TYPE myDataType = DEFAULT_DTYPE,
                 const TENSOR_DATA_TYPE myDataType = DEFAULT_DTYPE,
                 const float myDenseRatio = 1.0F);
                 const float myDenseRatio = 1.0F);
 
 
-    /* resize a matrix by another one */
+    /* resize a tensor by another one */
     bool Resize(const XTensor * myTensor);
     bool Resize(const XTensor * myTensor);
 
 
     /* binary search to find an element in a sparse matrix*/
     /* binary search to find an element in a sparse matrix*/
@@ -448,13 +448,13 @@ public:
     /* flush the data to the target device */
     /* flush the data to the target device */
     void FlushToMem(XMem * targetMem);
     void FlushToMem(XMem * targetMem);
 
 
-    /* allocate the memory space of the matrix (in the global memory) */
+    /* allocate the memory space of the tensor (in the global memory) */
     static
     static
-    void AllocateData(XTensor * matrix, XMem * myMem = NULL, bool useBuf = false);
+    void AllocateData(XTensor * tensor, XMem * myMem = NULL, bool useBuf = false);
 
 
-    /* free the memory space of the matrix (in the global memory) */
+    /* free the memory space of the tensor (in the global memory) */
     static
     static
-    void FreeData(XTensor * matrix, XMem * myMem = NULL, bool useBuf = false);
+    void FreeData(XTensor * tensor, XMem * myMem = NULL, bool useBuf = false);
 };
 };
 
 
 /* we make a unique id for every tensor */
 /* we make a unique id for every tensor */