Make accum_dist inline

src/cpp/flann/algorithms/dist.h

@@ -93,7 +93,7 @@ struct L2_Simple
     }
 
     template <typename U, typename V>
-    ResultType accum_dist(const U& a, const V& b, int dim) const
+    inline ResultType accum_dist(const U& a, const V& b, int dim) const
     {
     	return (a-b)*(a-b);
     }
@@ -156,7 +156,7 @@ struct L2
      *	Squared root is omitted for efficiency.
      */
     template <typename U, typename V>
-    ResultType accum_dist(const U& a, const V& b, int dim) const
+    inline ResultType accum_dist(const U& a, const V& b, int dim) const
     {
     	return (a-b)*(a-b);
     }
@@ -212,7 +212,7 @@ struct L1
      * Partial distance, used by the kd-tree.
      */
     template <typename U, typename V>
-    ResultType accum_dist(const U& a, const V& b, int dim) const
+    inline ResultType accum_dist(const U& a, const V& b, int dim) const
     {
     	return abs(a-b);
     }
@@ -273,7 +273,7 @@ struct MinkowskiDistance
      * Partial distance, used by the kd-tree.
      */
     template <typename U, typename V>
-    ResultType accum_dist(const U& a, const V& b, int dim) const
+    inline ResultType accum_dist(const U& a, const V& b, int dim) const
     {
     	return pow(static_cast<ResultType>(abs(a-b)),order);
     }
@@ -380,7 +380,7 @@ struct HistIntersectionDistance
      * Partial distance, used by the kd-tree.
      */
     template <typename U, typename V>
-    ResultType accum_dist(const U& a, const V& b, int dim) const
+    inline ResultType accum_dist(const U& a, const V& b, int dim) const
     {
     	return (a+b-2*(a<b?a:b));
     }
@@ -426,7 +426,7 @@ struct HellingerDistance
      * Partial distance, used by the kd-tree.
      */
     template <typename U, typename V>
-    ResultType accum_dist(const U& a, const V& b, int dim) const
+    inline ResultType accum_dist(const U& a, const V& b, int dim) const
     {
     	return (sqrt(static_cast<ResultType>(a)) - sqrt(static_cast<ResultType>(b)));
     }
@@ -469,7 +469,7 @@ struct ChiSquareDistance
      * Partial distance, used by the kd-tree.
      */
     template <typename U, typename V>
-    ResultType accum_dist(const U& a, const V& b, int dim) const
+    inline ResultType accum_dist(const U& a, const V& b, int dim) const
     {
         ResultType result = ResultType();
         ResultType sum, diff;
@@ -520,7 +520,7 @@ struct KL_Divergence
      * Partial distance, used by the kd-tree.
      */
     template <typename U, typename V>
-    ResultType accum_dist(const U& a, const V& b, int dim) const
+    inline ResultType accum_dist(const U& a, const V& b, int dim) const
     {
         ResultType result = ResultType();
 		ResultType ratio = a / b;