Format

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

@@ -46,7 +46,7 @@ template <index_int Axis,
 __device__ void generic_binary_layernorm(
     F compute, BinOp op, float eps, Output output, Input1 input1, Input2 input2, Inputs... inputs)
 {
-    using block = reduce::auto_block<reduce::reduce_elements_with_axis<Input1, Axis>()>;
+    using block         = reduce::auto_block<reduce::reduce_elements_with_axis<Input1, Axis>()>;
     using reduce_output = reduce::with_axis<Input1, Axis>;
     block::template run<reduce_output>([&](auto, auto r) {
         auto input       = r.inner([&](auto x1, auto x2) { return op(x1, x2); })(input1, input2);

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

@@ -540,16 +540,16 @@ struct lane
 };
 
 // TODO: Remove these in the future when they can be selected in the compiler class
-template<index_int RElements>
+template <index_int RElements>
 constexpr auto pick_block()
 {
     using nlocal = decltype(index{}.max_nlocal());
-    if constexpr(RElements < nlocal{}*256)
+    if constexpr(RElements < nlocal{} * 256)
         return block{};
     else
         return block_large{};
 }
-template<index_int RElements>
+template <index_int RElements>
 using auto_block = decltype(pick_block<RElements>());
 
 template <class Input, index_int Axis>