Remove Unused Parameter Warnings

src/batched/KokkosBatched_InnerLU_Serial_Impl.hpp

@@ -138,7 +138,7 @@ namespace KokkosBatched {
   KOKKOS_INLINE_FUNCTION
   int
   InnerLU<1>::
-  serial_invoke(ValueType *__restrict__ A) {
+  serial_invoke(ValueType *__restrict__ /* A */) {
     return 0;
   }
 

src/batched/KokkosBatched_InnerTrsm_Serial_Impl.hpp

@@ -225,9 +225,9 @@ namespace KokkosBatched {
   KOKKOS_INLINE_FUNCTION
   int
   InnerTrsmLeftLowerUnitDiag<1>::
-  serial_invoke(const ValueType *__restrict__ A,
-                const int n,
-                /**/  ValueType *__restrict__ B) {
+  serial_invoke(const ValueType *__restrict__ /* A */,
+                const int /* n */,
+                /**/  ValueType *__restrict__ /* B */) {
     return 0;
   }
 
@@ -629,7 +629,7 @@ namespace KokkosBatched {
       inv_a_00 = static_cast<ValueType>(1.0)/A[0*_as0+0*_as1];
 
     auto trsv = [&](const int p,
-                    ValueType &b_0p) {
+                    ValueType &/* b_0p */) {
       B[0*_bs0+p*_bs1] *= inv_a_00; /* b_0p /= a_00;*/   
     };
 
@@ -959,9 +959,9 @@ namespace KokkosBatched {
   KOKKOS_INLINE_FUNCTION
   int
   InnerTrsmLeftUpperUnitDiag<1>::
-  serial_invoke(const ValueType *__restrict__ A,
-                const int n,
-                /**/  ValueType *__restrict__ B) {
+  serial_invoke(const ValueType *__restrict__ /* A */,
+                const int /* n */,
+                /**/  ValueType *__restrict__ /* B */) {
     return 0;
   }
 
@@ -1366,7 +1366,7 @@ namespace KokkosBatched {
       inv_a_00 = static_cast<ValueType>(1.0)/A[0*_as0+0*_as1];
 
     auto trsv = [&](const int p,
-                    ValueType &b_0p) {
+                    ValueType &/* b_0p */) {
       // 0 iteration                         
       B[0*_bs0+p*_bs1] *= inv_a_00; /* b_0p /= a_00; */     
     };

src/blas/impl/KokkosBlas1_nrm2w_impl.hpp

@@ -145,7 +145,7 @@ struct MV_Nrm2w_Right_FunctorVector
   typename XMV::const_type m_x, m_w;
   bool m_take_sqrt;
 
-  MV_Nrm2w_Right_FunctorVector (const XMV& x, const XMV& w, const bool& take_sqrt) :
+  MV_Nrm2w_Right_FunctorVector (const XMV& x, const XMV& /* w */, const bool& take_sqrt) :
     value_count (x.extent(1)), m_x (x), m_w (x), m_take_sqrt(take_sqrt)
   {
     static_assert (Kokkos::Impl::is_view<RV>::value,

src/common/KokkosKernels_Handle.hpp

@@ -318,7 +318,7 @@ class KokkosKernelsHandle
    * \param concurrency: input, the number of threads overall. Not used currently.
    * \param overall_work_size: The overall work size.
    */
-  int get_team_work_size(const int team_size, const int concurrency, const nnz_lno_t overall_work_size){
+  int get_team_work_size(const int team_size, const int /* concurrency */, const nnz_lno_t /* overall_work_size */){
     if (this->team_work_size != -1) {
       return this->team_work_size;
     }

src/common/KokkosKernels_HashmapAccumulator.hpp

@@ -307,7 +307,7 @@ struct HashmapAccumulator
       value_type value,
 
       size_type *used_size_,
-      const size_type max_value_size_,
+      const size_type /* max_value_size_ */,
       size_type *used_hash_size,
       size_type *used_hashes)
   {
@@ -344,7 +344,7 @@ struct HashmapAccumulator
       key_type key,
 
       size_type *used_size_,
-      const size_type max_value_size_,
+      const size_type /* max_value_size_ */,
       size_type *used_hash_size,
       size_type *used_hashes)
   {
@@ -379,8 +379,8 @@ struct HashmapAccumulator
   template <typename team_member_t>
   KOKKOS_INLINE_FUNCTION
   int vector_atomic_insert_into_hash_mergeAdd_TrackHashes (
-      const team_member_t & teamMember,
-      const int vector_size,
+      const team_member_t & /* teamMember */,
+      const int /* vector_size */,
 
       size_type &hash,
       const key_type key,
@@ -448,8 +448,8 @@ struct HashmapAccumulator
   template <typename team_member_t>
   KOKKOS_INLINE_FUNCTION
   int vector_atomic_insert_into_hash_mergeAdd (
-      const team_member_t & teamMember,
-      const int vector_size,
+      const team_member_t & /* teamMember */,
+      const int /* vector_size */,
       size_type &hash,
       const key_type key,
       const value_type value,
@@ -505,8 +505,8 @@ struct HashmapAccumulator
   template <typename team_member_t>
   KOKKOS_INLINE_FUNCTION
   int vector_atomic_insert_into_hash (
-      const team_member_t & teamMember,
-      const int &vector_size,
+      const team_member_t & /* teamMember */,
+      const int &/* vector_size */,
 
       const size_type &hash,
       const key_type &key,
@@ -563,8 +563,8 @@ struct HashmapAccumulator
   template <typename team_member_t>
   KOKKOS_INLINE_FUNCTION
   int vector_atomic_insert_into_hash_mergeOr (
-      const team_member_t & teamMember,
-      const int &vector_size,
+      const team_member_t & /* teamMember */,
+      const int &/* vector_size */,
 
       const size_type &hash,
       const key_type &key,
@@ -624,8 +624,8 @@ struct HashmapAccumulator
   template <typename team_member_t>
   KOKKOS_INLINE_FUNCTION
   int vector_atomic_insert_into_hash_mergeOr_TrackHashes (
-      const team_member_t & teamMember,
-      const int &vector_size,
+      const team_member_t & /* teamMember */,
+      const int &/* vector_size */,
 
       const size_type &hash,
       const key_type &key,
@@ -684,8 +684,8 @@ struct HashmapAccumulator
   template <typename team_member_t>
   KOKKOS_INLINE_FUNCTION
   int vector_atomic_insert_into_hash_TrackHashes (
-      const team_member_t & teamMember,
-      const int &vector_size,
+      const team_member_t & /* teamMember */,
+      const int &/* vector_size */,
 
       const size_type &hash,
       const key_type &key,

src/common/KokkosKernels_Utils.hpp

@@ -144,6 +144,10 @@ void get_suggested_vector_team_size(
 
     suggested_team_size_ = max_allowed_team_size / suggested_vector_size_;
   }
+#else
+  (void)max_allowed_team_size;
+  (void)nr;
+  (void)nnz;
 #endif
 
 #if defined( KOKKOS_ENABLE_QTHREAD)
@@ -388,7 +392,7 @@ struct FillSymmetricLowerEdgesHashMap{
     in_lno_nnz_view_t adj_,
     hashmap_t hashmap_,
     out_lno_row_view_t pre_pps_,
-    bool lower_only_ = false
+    bool /* lower_only_ */ = false
     ):num_rows(num_rows_),nnz(adj_.extent(0)), xadj(xadj_), adj(adj_),
         umap(hashmap_), pre_pps(pre_pps_){}
 
@@ -1012,7 +1016,7 @@ void permute_block_vector(
 //when really it's always the whole thing.
 template <typename value_array_type, typename MyExecSpace>
 void zero_vector(
-    typename value_array_type::value_type num_elements,
+    typename value_array_type::value_type /* num_elements */,
     value_array_type &vector
     ){
   typedef typename value_array_type::non_const_value_type val_type;

src/graph/KokkosGraph_Distance1Color.hpp

@@ -59,10 +59,10 @@ template <class KernelHandle,typename lno_row_view_t_, typename lno_nnz_view_t_>
 void graph_color_symbolic(
     KernelHandle *handle,
     typename KernelHandle::nnz_lno_t num_rows,
-    typename KernelHandle::nnz_lno_t num_cols,
+    typename KernelHandle::nnz_lno_t /* num_cols */,
     lno_row_view_t_ row_map,
     lno_nnz_view_t_ entries,
-    bool is_symmetric = true){
+    bool /* is_symmetric */ = true){
 
   Kokkos::Impl::Timer timer;
 

src/graph/impl/KokkosGraph_Distance1Color_impl.hpp

@@ -2599,7 +2599,7 @@ class GraphColor_VBD:public GraphColor <HandleType,lno_row_view_t_,lno_nnz_view_
       : frontierSize_(frontierSize), newFrontierSize_(newFrontierSize) {}
 
     KOKKOS_INLINE_FUNCTION
-    void operator() (const int dummy) const {
+    void operator() (const int /* dummy */) const {
       frontierSize_() = newFrontierSize_();
       newFrontierSize_() = 0;
     }

src/sparse/KokkosSparse_CrsMatrix.hpp

@@ -567,7 +567,7 @@ class CrsMatrix {
   /// \param rows [in/out] The row map (containing the offsets to the
   ///   data in each row).
   /// \param cols [in/out] The column indices.
-  CrsMatrix (const std::string& label,
+  CrsMatrix (const std::string& /* label */,
              const OrdinalType nrows,
              const OrdinalType ncols,
              const size_type annz,
@@ -613,7 +613,7 @@ class CrsMatrix {
   /// \param rows [in/out] The row map (containing the offsets to the
   ///   data in each row).
   /// \param cols [in/out] The column indices.
-  CrsMatrix (const std::string& label,
+  CrsMatrix (const std::string& /* label */,
              const OrdinalType& ncols,
              const values_type& vals,
              const staticcrsgraph_type& graph_) :

src/sparse/impl/KokkosSparse_gauss_seidel_impl.hpp

@@ -161,7 +161,7 @@ namespace KokkosSparse{
         nnz_scalar_t omega;
 
         PSGS(row_lno_persistent_work_view_t xadj_, nnz_lno_persistent_work_view_t adj_, scalar_persistent_work_view_t adj_vals_,
-             scalar_persistent_work_view2d_t Xvector_, scalar_persistent_work_view2d_t Yvector_, nnz_lno_persistent_work_view_t color_adj_,
+             scalar_persistent_work_view2d_t Xvector_, scalar_persistent_work_view2d_t Yvector_, nnz_lno_persistent_work_view_t /* color_adj_ */,
              nnz_scalar_t omega_,
              scalar_persistent_work_view_t permuted_inverse_diagonal_):
           _xadj( xadj_),
@@ -580,7 +580,7 @@ namespace KokkosSparse{
             });
         }
 
-        size_t team_shmem_size (int team_size) const {
+        size_t team_shmem_size (int /* team_size */) const {
           return shared_memory_size;
         }
       };

src/sparse/impl/KokkosSparse_spgemm_CUSP_impl.hpp

@@ -88,11 +88,11 @@ void CUSP_apply(
     ain_nonzero_index_view_type entriesA,
     ain_nonzero_value_view_type valuesA,
 
-    bool transposeA,
+    bool /* transposeA */,
     bin_row_index_view_type row_mapB,
     bin_nonzero_index_view_type entriesB,
     bin_nonzero_value_view_type valuesB,
-    bool transposeB,
+    bool /* transposeB */,
     cin_row_index_view_type row_mapC,
     cin_nonzero_index_view_type &entriesC,
     cin_nonzero_value_view_type &valuesC){
@@ -206,6 +206,11 @@ void CUSP_apply(
       value_type>(valuesC, (value_type *) thrust::raw_pointer_cast(C.values.data())));
 
 #else
+  (void)handle;
+  (void)m;        (void)n;        (void)k;
+  (void)row_mapA; (void)row_mapB; (void)row_mapC;
+  (void)entriesA; (void)entriesB; (void)entriesC;
+  (void)valuesA;  (void)valuesB;  (void)valuesC;
   throw std::runtime_error ("CUSP IS NOT DEFINED\n");
   //return;
 #endif

src/sparse/impl/KokkosSparse_spgemm_cuSPARSE_impl.hpp

@@ -144,6 +144,11 @@ namespace Impl{
       //return;
     }
 #else
+    (void)handle;
+    (void)m;          (void)n;          (void)k;
+    (void)row_mapA;   (void)row_mapB;   (void)row_mapC;
+    (void)entriesA;   (void)entriesB;
+    (void)transposeA; (void)transposeB;
     throw std::runtime_error ("CUSPARSE IS NOT DEFINED\n");
     //return;
 #endif
@@ -171,11 +176,11 @@ namespace Impl{
       ain_nonzero_index_view_type entriesA,
       ain_nonzero_value_view_type valuesA,
 
-      bool transposeA,
+      bool /* transposeA */,
       bin_row_index_view_type row_mapB,
       bin_nonzero_index_view_type entriesB,
       bin_nonzero_value_view_type valuesB,
-      bool transposeB,
+      bool /* transposeB */,
       cin_row_index_view_type row_mapC,
       cin_nonzero_index_view_type entriesC,
       cin_nonzero_value_view_type valuesC){
@@ -286,6 +291,11 @@ namespace Impl{
       //return;
     }
 #else
+    (void)handle;
+    (void)m;        (void)n;        (void)k;
+    (void)row_mapA; (void)row_mapB; (void)row_mapC;
+    (void)entriesA; (void)entriesB; (void)entriesC;
+    (void)valuesA;  (void)valuesB;  (void)valuesC;
     throw std::runtime_error ("CUSPARSE IS NOT DEFINED\n");
     //return;
 #endif

src/sparse/impl/KokkosSparse_spgemm_impl_compression.hpp

@@ -741,7 +741,7 @@ struct KokkosSPGEMM
 		    });
   }
 
-  size_t team_shmem_size (int team_size) const {
+  size_t team_shmem_size (int /* team_size */) const {
 	  return shared_memory_size;
   }
 

src/sparse/impl/KokkosSparse_spgemm_impl_kkmem.hpp

@@ -694,7 +694,7 @@ struct KokkosSPGEMM
     typedef typename std::remove_reference< decltype( *used_hash_sizes ) >::type atomic_incr_type;
     Kokkos::parallel_scan(
         Kokkos::ThreadVectorRange(teamMember, vector_size),
-        [&] (const int threadid, int &update, const bool final) {
+        [&] (const int /* threadid */, int &update, const bool final) {
       if (final){
       	vector_rank = update;
       }
@@ -1000,7 +1000,7 @@ struct KokkosSPGEMM
     typedef typename std::remove_reference< decltype( *used_hash_sizes ) >::type atomic_incr_type;
     Kokkos::parallel_scan(
         Kokkos::ThreadVectorRange(teamMember, vector_size),
-        [&] (const int threadid, int &update, const bool final) {
+        [&] (const int /* threadid */, int &update, const bool final) {
       if (final){
       	vector_rank = update;
       }
@@ -1169,7 +1169,7 @@ struct KokkosSPGEMM
   }
 
 
-  size_t team_shmem_size (int team_size) const {
+  size_t team_shmem_size (int /* team_size */) const {
     return shared_memory_size;
   }
 };

src/sparse/impl/KokkosSparse_spgemm_impl_seq.hpp

@@ -56,15 +56,15 @@ template <typename KernelHandle,
 void spgemm_debug_symbolic(
     KernelHandle *handle,
     typename KernelHandle::nnz_lno_t m,
-    typename KernelHandle::nnz_lno_t n,
+    typename KernelHandle::nnz_lno_t /* n */,
     typename KernelHandle::nnz_lno_t k,
     alno_row_view_t_ row_mapA,
     alno_nnz_view_t_ entriesA,
 
-    bool transposeA,
+    bool /* transposeA */,
     blno_row_view_t_ row_mapB,
     blno_nnz_view_t_ entriesB,
-    bool transposeB,
+    bool /* transposeB */,
     clno_row_view_t_ row_mapC
     ){
   typename alno_row_view_t_::HostMirror h_rma = Kokkos::create_mirror_view (row_mapA);
@@ -151,19 +151,19 @@ template <typename KernelHandle,
   typename clno_nnz_view_t_,
   typename cscalar_nnz_view_t_>
 void spgemm_debug_numeric(
-    KernelHandle *handle,
+    KernelHandle * /* handle */,
     typename KernelHandle::nnz_lno_t m,
-    typename KernelHandle::nnz_lno_t n,
+    typename KernelHandle::nnz_lno_t /* n */,
     typename KernelHandle::nnz_lno_t k,
     alno_row_view_t_ row_mapA,
     alno_nnz_view_t_ entriesA,
     ascalar_nnz_view_t_ valuesA,
 
-    bool transposeA,
+    bool /* transposeA */,
     blno_row_view_t_ row_mapB,
     blno_nnz_view_t_ entriesB,
     bscalar_nnz_view_t_ valuesB,
-    bool transposeB,
+    bool /* transposeB */,
     clno_row_view_t_ row_mapC,
     clno_nnz_view_t_ entriesC,
     cscalar_nnz_view_t_ valuesC