Replace cuNormalizer holder class with unique_ptr

contrib/PyCuAmpcor/src/cuAmpcorChunk.cu

@@ -553,17 +553,18 @@ cuAmpcorChunk::cuAmpcorChunk(cuAmpcorParameter *param_, GDALImage *reference_, G
             stream);
     }
 
-    corrNormalizerRaw = new cuNormalizer(
+    corrNormalizerRaw = std::unique_ptr<cuNormalizeProcessor>(newCuNormalizer(
         param->searchWindowSizeHeightRaw,
         param->searchWindowSizeWidthRaw,
         param->numberWindowDownInChunk * param->numberWindowAcrossInChunk
-        );
+        ));
 
-    corrNormalizerOverSampled = new cuNormalizer(
+    corrNormalizerOverSampled =
+        std::unique_ptr<cuNormalizeProcessor>(newCuNormalizer(
         param->searchWindowSizeHeight,
         param->searchWindowSizeWidth,
         param->numberWindowDownInChunk * param->numberWindowAcrossInChunk
-        );
+        ));
 
 
 #ifdef CUAMPCOR_DEBUG

contrib/PyCuAmpcor/src/cuAmpcorChunk.h

@@ -66,8 +66,8 @@ private:
     cuFreqCorrelator *cuCorrFreqDomain, *cuCorrFreqDomain_OverSampled;
 
     // correlation surface normalizer
-    cuNormalizer *corrNormalizerRaw;
+    std::unique_ptr<cuNormalizeProcessor> corrNormalizerRaw;
-    cuNormalizer *corrNormalizerOverSampled;
+    std::unique_ptr<cuNormalizeProcessor> corrNormalizerOverSampled;
 
     // save offset results in different stages
     cuArrays<int2> *offsetInit;

contrib/PyCuAmpcor/src/cuCorrNormalizer.cu

@@ -7,45 +7,30 @@
 #include "cuCorrNormalizer.h"
 #include "cuAmpcorUtil.h"
 
-cuNormalizer::cuNormalizer(int secondaryNX, int secondaryNY, int count)
+cuNormalizeProcessor*
+newCuNormalizer(int secondaryNX, int secondaryNY, int count)
 {
     // depending on NY, choose different processor
     if(secondaryNY <= 64) {
-        processor = new cuNormalizeFixed<64>();
+        return new cuNormalizeFixed<64>();
     }
     else if (secondaryNY <= 128) {
-        processor = new cuNormalizeFixed<128>();
+        return new cuNormalizeFixed<128>();
     }
     else if (secondaryNY <= 256) {
-        processor = new cuNormalizeFixed<256>();
+        return new cuNormalizeFixed<256>();
     }
     else if (secondaryNY <= 512) {
-        processor = new cuNormalizeFixed<512>();
+        return new cuNormalizeFixed<512>();
     }
     else if (secondaryNY <= 1024) {
-        processor = new cuNormalizeFixed<1024>();
+        return new cuNormalizeFixed<1024>();
     }
     else {
-        processor = new cuNormalizeSAT(secondaryNX, secondaryNY, count);
+        return new cuNormalizeSAT(secondaryNX, secondaryNY, count);
     }
 }
 
-cuNormalizer::~cuNormalizer()
-{
-    delete processor;
-}
-
-void cuNormalizer::execute(cuArrays<float> *correlation,
-    cuArrays<float> *reference, cuArrays<float> *secondary, cudaStream_t stream)
-{
-    processor->execute(correlation, reference, secondary, stream);
-}
-
-/**
- *
- *
- **/
-
 cuNormalizeSAT::cuNormalizeSAT(int secondaryNX, int secondaryNY, int count)
 {
     // allocate the work array

contrib/PyCuAmpcor/src/cuCorrNormalizer.h

@@ -22,26 +22,14 @@
 class cuNormalizeProcessor {
 public:
     // default constructor and destructor
-    cuNormalizeProcessor() {}
+    cuNormalizeProcessor() = default;
-    ~cuNormalizeProcessor() {}
+    virtual ~cuNormalizeProcessor() = default;
     // execute interface
     virtual void execute(cuArrays<float> * correlation, cuArrays<float> *reference, cuArrays<float> *secondary, cudaStream_t stream) = 0;
 };
 
-class cuNormalizer {
+// factory with the secondary dimension
-private:
+cuNormalizeProcessor* newCuNormalizer(int NX, int NY, int count);
-    cuNormalizeProcessor *processor;
-public:
-     // disable the default constructor
-     cuNormalizer() = delete;
-     // constructor with the secondary dimension
-     cuNormalizer(int secondaryNX, int secondaryNY, int count);
-     // destructor
-     ~cuNormalizer();
-     // execute correlation surface normalization
-     void execute(cuArrays<float> *correlation, cuArrays<float> *reference, cuArrays<float> *secondary,
-        cudaStream_t stream);
-};
 
 
 template<int Size>