diff --git a/source/Lib/CommonLib/NNInference.h b/source/Lib/CommonLib/NNInference.h
index 3c32c40dd6a0c3073ce3177be0944c1546847498..9c3326231486a1ce4cb16027f6a391c216137e76 100644
--- a/source/Lib/CommonLib/NNInference.h
+++ b/source/Lib/CommonLib/NNInference.h
@@ -87,7 +87,7 @@ public:
       hor = inferArea.lwidth() >> 1;
       ver = inferArea.lheight() >> 1;
     }
-  #if NN_FIXED_POINT_IMPLEMENTATION
+#if NN_FIXED_POINT_IMPLEMENTATION
     for (int yy = 0; yy < ver; yy++)
     {
       for (int xx = 0; xx < hor; xx++)
@@ -109,7 +109,7 @@ public:
         }
       }
     }
-  #else
+#else
     for (int yy = 0; yy < ver; yy++)
     {
       for (int xx = 0; xx < hor; xx++)
@@ -131,7 +131,7 @@ public:
         }
       }
     }
-  #endif
+#endif
   }
   template<typename T>
   static void fillInputFromConstant (Picture* pic, UnitArea inferArea, sadl::Tensor<T> &input, int c, bool luma, double scale, int shift)
@@ -147,7 +147,7 @@ public:
       hor = inferArea.lwidth() >> 1;
       ver = inferArea.lheight() >> 1;
     }
-  #if NN_FIXED_POINT_IMPLEMENTATION
+#if NN_FIXED_POINT_IMPLEMENTATION
     for (int yy = 0; yy < ver; yy++)
     {
       for (int xx = 0; xx < hor; xx++)
@@ -155,7 +155,7 @@ public:
         input(0, yy, xx, 0) = c << shift;
       }
     }
-  #else
+#else
     for (int yy = 0; yy < ver; yy++)
     {
       for (int xx = 0; xx < hor; xx++)
@@ -163,7 +163,7 @@ public:
         input(0, yy, xx, 0) = c / scale;
       }
     }
-  #endif
+#endif
   }
   template<typename T>
   static void prepareInputs (Picture* pic, UnitArea inferArea, vector<sadl::Tensor<T>> &inputs, int globalQp, int localQp, int sliceType, const std::vector<InputData> &listInputData)