Format

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

@@ -49,10 +49,11 @@ __device__ void generic_binary_layernorm(
     reduce::block::run<reduce_output>([&](auto, auto r) {
         using value_type         = typename Input1::type;
         constexpr auto relements = r.template elements<Input1>();
-        auto means = r.reduce(op::sum{}, make_array<vec_type<value_type>>(0, 0), [&](auto x1, auto x2) {
-            auto x = op(x1, x2);
-            return make_array(x, x * x) * vec_type<value_type>{1.0 / relements};
-        })(input1, input2);
+        auto means =
+            r.reduce(op::sum{}, make_array<vec_type<value_type>>(0, 0), [&](auto x1, auto x2) {
+                auto x = op(x1, x2);
+                return make_array(x, x * x) * vec_type<value_type>{1.0 / relements};
+            })(input1, input2);
 
         auto mean_x  = means[0];
         auto mean_x2 = means[1];