remove variable useBLAS.

source/tensor/core/arithmetic/MatrixMul2D.cpp

@@ -82,10 +82,11 @@ void _MatrixMul2D(const XTensor * a, MATRIX_TRANS_TYPE transposedA,
             b->dataType == DEFAULT_DTYPE &&
             c->dataType == DEFAULT_DTYPE)
         {
-            if (useBLAS)
+#if defined(USE_BLAS)
                 _MatrixMULCPU(a, transposedA, b, transposedB, c, alpha, beta);
-            else
+#else
                 _MatrixMul2DParallel(a, transposedA, b, transposedB, c, alpha, beta, parallelRunner);
+#endif
         }
         else {
             // TODO!!

source/tensor/core/arithmetic/MatrixMulBatched.cpp

@@ -199,10 +199,7 @@ CheckNTErrors((a && b && c), "Empty input tensors!");
         bi->data = (char*)b->data + i * bRealBlockSize;
         ci->data = (char*)c->data + i * cRealBlockSize;
 #ifdef USE_BLAS
-        if (useBLAS)
-            _MatrixMULCPU(ai, transposedA, bi, transposedB, ci, alpha, beta);
-        else
-            _MatrixMul2D(ai, transposedA, bi, transposedB, ci, alpha, beta);
+        _MatrixMULCPU(ai, transposedA, bi, transposedB, ci, alpha, beta);
 #else
         _MatrixMul2D(ai, transposedA, bi, transposedB, ci, alpha, beta);
 #endif
@@ -262,10 +259,7 @@ void _MatrixMulBatchedCPU(const XList * a, MATRIX_TRANS_TYPE transposedA,
         CheckNTErrors((bi->order == 2), "2d tensor (i.e., matrix) is required!");
         CheckNTErrors((ci->order == 2), "2d tensor (i.e., matrix) is required!");
 #ifdef USE_BLAS
-        if (useBLAS)
             _MatrixMULCPU(ai, transposedA, bi, transposedB, ci, alpha, beta);
-        else
-            _MatrixMul2D(ai, transposedA, bi, transposedB, ci, alpha, beta);
 #else
         _MatrixMul2D(ai, transposedA, bi, transposedB, ci, alpha, beta);
 #endif