add the annotation and modify the indent

source/tensor/core/arithmetic/MatrixMul.cpp

@@ -341,7 +341,6 @@ void MatrixMul(const XTensor &a, MATRIX_TRANS_TYPE transposedA,
 
 
         /* destroy variables */
         /* destroy variables */
         delete[] dimSize;
         delete[] dimSize;
-
     }
     }
 
 
     /* call _MatrixMul function */
     /* call _MatrixMul function */

source/tensor/core/arithmetic/MatrixMulBatched.cpp

@@ -260,7 +260,7 @@ void _MatrixMulBatchedCPU(const TensorList * a, MATRIX_TRANS_TYPE transposedA,
         CheckNTErrors((bi->order == 2), "2d tensor (i.e., matrix) is required!");
         CheckNTErrors((bi->order == 2), "2d tensor (i.e., matrix) is required!");
         CheckNTErrors((ci->order == 2), "2d tensor (i.e., matrix) is required!");
         CheckNTErrors((ci->order == 2), "2d tensor (i.e., matrix) is required!");
 #ifdef USE_BLAS
 #ifdef USE_BLAS
-            _MatrixMULCPU(ai, transposedA, bi, transposedB, ci, alpha, beta);
+        _MatrixMULCPU(ai, transposedA, bi, transposedB, ci, alpha, beta);
 #else
 #else
         _MatrixMul2D(ai, transposedA, bi, transposedB, ci, alpha, beta);
         _MatrixMul2D(ai, transposedA, bi, transposedB, ci, alpha, beta);
 #endif
 #endif

source/tensor/core/getandset/ConvertDataType.cpp

@@ -127,6 +127,14 @@ XTensor ConvertDataType(const XTensor & input, TENSOR_DATA_TYPE dataType)
     return output;
     return output;
 }
 }
 
 
+/*
+convert data type (return an XTensor structure)
+make a new tensor to keep the result and return it
+
+>> input - the input tensor
+>> output - the output tensor
+<< return - the output tensor with the specified data type
+*/
 void ConvertDataType(const XTensor & input, XTensor & output, TENSOR_DATA_TYPE dataType)
 void ConvertDataType(const XTensor & input, XTensor & output, TENSOR_DATA_TYPE dataType)
 {
 {
     if (!output.isInit || input.dataType != output.dataType) {
     if (!output.isInit || input.dataType != output.dataType) {