Format

src/include/migraphx/serialize.hpp

@@ -92,7 +92,7 @@ template <class T>
 auto to_value_impl(rank<4>, const optional<T>& x)
 {
     value result{};
-    if (x.has_value())
+    if(x.has_value())
         to_value(*x);
     return result;
 }
@@ -208,7 +208,7 @@ void from_value_impl(rank<5>, const value& v, T& x)
 template <class T>
 void from_value_impl(rank<6>, const value& v, optional<T>& x)
 {
-    if (not v.is_null())
+    if(not v.is_null())
         x = from_value<T>(v);
 }
 

src/include/migraphx/streamutils.hpp

@@ -103,7 +103,7 @@ void stream_write_value_impl(rank<0>, std::ostream& os, const T& x)
 template <class T>
 void stream_write_value_impl(rank<0>, std::ostream& os, const optional<T>& x)
 {
-    if (x.has_value())
+    if(x.has_value())
         stream_write_value_impl(rank<2>{}, os, *x);
     else
         os << "none";

src/targets/gpu/compile_ops.cpp

@@ -64,7 +64,7 @@ struct precompile_op
             r = op.compute_shape(inputs);
         else
             r = op.compute_shape(inputs, mods);
-        if (output_shape.has_value())
+        if(output_shape.has_value())
             r = *output_shape;
         return r;
     }

src/targets/gpu/fuse_ops.cpp

@@ -668,7 +668,8 @@ struct find_contiguous_tranpose_precompile
         auto transpose = r.instructions["transpose"];
         auto perm      = transpose->get_operator().to_value()["permutation"].to_vector<int64_t>();
         auto iperm     = invert_permutation(perm);
-        auto s = shape::from_permutation(op_ins->get_shape().type(), op_ins->get_shape().lens(), iperm);
+        auto s =
+            shape::from_permutation(op_ins->get_shape().type(), op_ins->get_shape().lens(), iperm);
         auto v            = op_ins->get_operator().to_value();
         v["output_shape"] = to_value(s);
         auto new_op       = make_op("gpu::precompile_op", v);