fix warnings

Author: steremma

tmva/tmva/src/DNN/Architectures/Cpu/Propagation.cxx

@@ -559,12 +559,12 @@ template <typename AFloat>
 void TCpu<AFloat>::MaxPoolLayerBackward(TCpuMatrix<AFloat> &activationGradientsBackward,
                                         const TCpuMatrix<AFloat> &activationGradients,
                                         const TCpuMatrix<AFloat> &indexMatrix,
-                                        size_t imgHeight,
-                                        size_t imgWidth,
-                                        size_t fltHeight,
-                                        size_t fltWidth,
-                                        size_t strideRows,
-                                        size_t strideCols,
+                                        size_t /* imgHeight */,
+                                        size_t /* imgWidth */,
+                                        size_t /* fltHeight */,
+                                        size_t /* fltWidth */,
+                                        size_t /* strideRows */,
+                                        size_t /* strideCols */,
                                         size_t nLocalViews)
 {
    size_t depth = activationGradientsBackward.GetNrows();

tmva/tmva/src/DNN/Architectures/Cuda/Kernels.cuh

@@ -940,7 +940,6 @@ __global__ void MaxPoolBackward(AFloat * activationGradientsBackward,
    // Which gradientsBackward element should this thread write to?
    int backRow = j % imgHeight;
    int backCol = j / imgHeight;
-   int backIndex = (backCol + backRow * imgWidth) * depth + slice;
 
    // Which gradient and indexMatrix elements should this thread read?
    int nextRowMin = floor((backRow - fltHeight) / (AFloat)strideRows) + 1;

tmva/tmva/src/DNN/Architectures/Cuda/Propagation.cu

@@ -350,7 +350,7 @@ void TCuda<AFloat>::MaxPoolLayerBackward(TCudaMatrix<AFloat> & activationGradien
                                          size_t fltWidth,
                                          size_t strideRows,
                                          size_t strideCols,
-                                         size_t nLocalViews)
+                                         size_t /* nLocalViews */)
 {
    size_t depth = activationGradientsBackward.GetNrows();
 
@@ -440,7 +440,7 @@ void TCuda<AFloat>::Flatten(TCudaMatrix<AFloat> &A,
 
    cudaMalloc(&dB, sizeof(AFloat *) * size);
 
-   for(int i = 0; i < size; ++i) {
+   for(size_t i = 0; i < size; ++i) {
       hB[i] = B[i].GetDataPointer();
    }
 
@@ -488,7 +488,7 @@ void TCuda<AFloat>::Deflatten(std::vector<TCudaMatrix<AFloat>> &A,
 
     cudaMalloc(&dA, sizeof(AFloat *) * size);
 
-    for(int i = 0; i < size; ++i) {
+    for(size_t i = 0; i < size; ++i) {
         hA[i] = A[i].GetDataPointer();
     }
 

tmva/tmva/src/DNN/Architectures/Reference/Propagation.cxx

@@ -378,8 +378,9 @@ template <typename AReal>
 void TReference<AReal>::MaxPoolLayerBackward(TMatrixT<AReal> &activationGradientsBackward,
                                              const TMatrixT<AReal> &activationGradients,
                                              const TMatrixT<AReal> &indexMatrix,
-                                             size_t imgHeight, size_t imgWidth, size_t fltHeight,
-                                             size_t fltWidth, size_t strideRows, size_t strideCols, size_t nLocalViews)
+                                             size_t /* imgHeight */, size_t /* imgWidth */, size_t /* fltHeight */,
+                                             size_t /* fltWidth */, size_t /* strideRows */, size_t /* strideCols */,
+                                             size_t nLocalViews)
 {
     size_t depth = activationGradientsBackward.GetNrows();