Format

src/targets/gpu/jit/groupnorm.cpp

@@ -61,10 +61,7 @@ __global__ void groupnorm_kernel(${params})
 
 struct groupnorm_compiler : compiler<groupnorm_compiler>
 {
-    std::vector<std::string> names() const
-    {
-        return {"groupnorm"};
-    }
+    std::vector<std::string> names() const { return {"groupnorm"}; }
 
     operation compile_op(context& ctx, const std::vector<shape>& inputs, const value& v) const
     {

src/targets/gpu/kernels/include/migraphx/kernels/groupnorm.hpp

@@ -8,18 +8,17 @@
 
 namespace migraphx {
 
-template<class Output, class T>
-__device__ void groupnorm(Output out, T x0) {
+template <class Output, class T>
+__device__ void groupnorm(Output out, T x0)
+{
     reduce::block::run<Output>([&](auto out_idx, auto r) {
         constexpr auto relements = r.template elements<T>();
-        auto z1 = r.reduce(op::sum{}, 0, op::mean<relements>{})(x0);
-        auto z4 = r.reduce(op::sum{}, 0, [&](auto x) {
+        auto z1                  = r.reduce(op::sum{}, 0, op::mean<relements>{})(x0);
+        auto z4                  = r.reduce(op::sum{}, 0, [&](auto x) {
             auto diff = x - z1;
             return (diff * diff) / vec_type<decltype(diff)>{relements};
         })(x0);
-        r.outer([&] {
-            out[out_idx] = migraphx::rsqrt(z4 + 1e-12);
-        });
+        r.outer([&] { out[out_idx] = migraphx::rsqrt(z4 + 1e-12); });
     });
 }