Applying clang-format

kokkos · Mar 6, 2024 · a8c128f · a8c128f
1 parent 9b63db8
commit a8c128f
Showing 1 changed file with 22 additions and 15 deletions.
diff --git a/perf_test/sparse/KokkosSparse_spmv_benchmark.cpp b/perf_test/sparse/KokkosSparse_spmv_benchmark.cpp
@@ -42,7 +42,13 @@ struct spmv_parameters {
   std::string tpl;
 
   spmv_parameters(const int N_)
-    : N(N_), offset(0), numvecs(1), mode(""), filename(""), alg(""), tpl("") {}
+      : N(N_),
+        offset(0),
+        numvecs(1),
+        mode(""),
+        filename(""),
+        alg(""),
+        tpl("") {}
 };
 
 void print_options() {
@@ -51,10 +57,10 @@ void print_options() {
   std::cerr << perf_test::list_common_options();
 
   std::cerr << "\t[Optional] --mode        :: whether to run a suite of "
-	    << "automated test or manually define one (auto, manual)"
-	    << std::endl;
+            << "automated test or manually define one (auto, manual)"
+            << std::endl;
   std::cerr << "\t[Optional] --repeat      :: how many times to repeat overall "
-	    << "test" << std::endl;
+            << "test" << std::endl;
   std::cerr << "  -n [N]          :: generate a semi-random banded (band size "
                "0.01xN)\n"
                "NxN matrix with average of 10 entries per row."
@@ -66,13 +72,13 @@ void print_options() {
                "alg, a TPL can be used (cusparse, rocsparse, MKL)"
             << std::endl;
   std::cerr << "  -f [file]       : Read in Matrix Market formatted text file"
-	    << " 'file'." << std::endl;
+            << " 'file'." << std::endl;
   std::cerr << "  --offset [O]    : Subtract O from every index.\n"
             << "                    Useful in case the matrix market file is "
                "not 0 based."
             << std::endl;
   std::cerr << "  --num_vecs      : The number of vectors stored in X and Y"
-	    << std::endl;
+            << std::endl;
 }  // print_options
 
 void parse_inputs(int argc, char** argv, spmv_parameters& params) {
@@ -118,7 +124,7 @@ void run_spmv(benchmark::State& state, const spmv_parameters& inputs) {
       KokkosSparse::CrsMatrix<double, int, execution_space, void, int>;
   using mv_type = Kokkos::View<double**, execution_space>;
   using handle_t =
-    KokkosSparse::SPMVHandle<execution_space, matrix_type, mv_type, mv_type>;
+      KokkosSparse::SPMVHandle<execution_space, matrix_type, mv_type, mv_type>;
 
   KokkosSparse::SPMVAlgorithm spmv_alg;
   if ((inputs.alg == "default") || (inputs.alg == "")) {
@@ -178,14 +184,15 @@ int main(int argc, char** argv) {
   spmv_parameters inputs(100000);
   parse_inputs(argc, argv, inputs);
 
-  if( (inputs.mode == "") || (inputs.mode == "auto")) {
-    for(int n : {10000, 20000, 40000, 100000, 250000, 1000000}) {
-      for(int nv : {1, 2, 3, 4, 10}) {
-	inputs.N = n;
-	inputs.numvecs = nv;
-	KokkosKernelsBenchmark::register_benchmark_real_time(
-	    bench_name.c_str(), run_spmv<Kokkos::DefaultExecutionSpace>, {"n", "nv"},
-            {inputs.N, inputs.numvecs}, common_params.repeat, inputs);
+  if ((inputs.mode == "") || (inputs.mode == "auto")) {
+    for (int n : {10000, 20000, 40000, 100000, 250000, 1000000}) {
+      for (int nv : {1, 2, 3, 4, 10}) {
+        inputs.N       = n;
+        inputs.numvecs = nv;
+        KokkosKernelsBenchmark::register_benchmark_real_time(
+            bench_name.c_str(), run_spmv<Kokkos::DefaultExecutionSpace>,
+            {"n", "nv"}, {inputs.N, inputs.numvecs}, common_params.repeat,
+            inputs);
       }
     }
   } else {