clang

Author: NeiroYT

app/Graph/onnx_subgraphs.cpp

@@ -9,12 +9,13 @@
 
 #include "build.hpp"
 #include "graph_transformations/graph_transformations.hpp"
-#include "perf/benchmarking.hpp"
 #include "layers_fused/ConvRelu.hpp"
+#include "perf/benchmarking.hpp"
 
 using namespace it_lab_ai;
 
-void alexnet_inf_careless(Graph& graph, const RuntimeOptions& options, Tensor& input, Tensor& output) {
+void alexnet_inf_careless(Graph& graph, const RuntimeOptions& options,
+                          Tensor& input, Tensor& output) {
   Tensor* o = new Tensor(output);
   Tensor* i = new Tensor(input);
   graph.inference(options);
@@ -23,10 +24,8 @@ void alexnet_inf_careless(Graph& graph, const RuntimeOptions& options, Tensor& i
 }
 
 void alexnet_comparison() {
-
   std::vector<size_t> counts = {979, 1134, 1031, 1009, 981,
                                 891, 957,  1027, 973,  1008};
-  int stat = 0;
   size_t sum = std::accumulate(counts.begin(), counts.end(), size_t{0});
   int count_pic = static_cast<int>(sum) + 10;
   std::vector<float> res(count_pic * 28 * 28, 1.0f);
@@ -65,7 +64,6 @@ void alexnet_comparison() {
   std::cout << time2 << " for convrelu graph\n";
 }
 
-
 int main() {
   int type = 2;
   Tensor input = make_tensor(std::vector<int>({0}));

include/graph_transformations/graph_transformations.hpp

@@ -2,9 +2,9 @@
 #include <vector>
 
 #include "graph/graph.hpp"
+#include "layers/ConvLayer.hpp"
 #include "layers/EWLayer.hpp"
 #include "layers/Layer.hpp"
-#include "layers/ConvLayer.hpp"
 #include "layers_fused/ConvRelu.hpp"
 
 namespace it_lab_ai {

include/layers_fused/ConvRelu.hpp

@@ -4,8 +4,8 @@
 #include <string>
 #include <vector>
 
-#include "layers/Layer.hpp"
 #include "layers/ConvLayer.hpp"
+#include "layers/Layer.hpp"
 #include "layers/Tensor.hpp"
 
 namespace it_lab_ai {
@@ -79,4 +79,4 @@ class ConvReluLayer : public Layer {
   Tensor get_weights() override { return *kernel_; }
 #endif
 };
-}  // namespace it_lab_ai
+}  // namespace it_lab_ai

src/layers_fused/CMakeLists.txt

@@ -5,4 +5,4 @@ target_link_libraries(layers_fused_lib PUBLIC layers_lib)
 target_link_libraries(layers_fused_lib PUBLIC TBB_unified)
 target_link_libraries(layers_fused_lib PUBLIC OpenMP::OpenMP_CXX)
 target_link_libraries(layers_fused_lib PUBLIC dnnl)
-target_link_libraries(layers_fused_lib PUBLIC Kokkos_imported)
+target_link_libraries(layers_fused_lib PUBLIC Kokkos_imported)