clang format

src/include/migraphx/op/argmax.hpp

@@ -40,7 +40,7 @@ struct argmax
         }
 
         lens[axis] = 1;
-        if (!keep_dims)
+        if(!keep_dims)
         {
             lens.erase(lens.begin() + axis);
         }

src/include/migraphx/op/argmin.hpp

@@ -40,7 +40,7 @@ struct argmin
         }
 
         lens[axis] = 1;
-        if (!keep_dims)
+        if(!keep_dims)
         {
             lens.erase(lens.begin() + axis);
         }

src/targets/cpu/lowering.cpp

@@ -655,14 +655,14 @@ struct cpu_argmax
         argument result{output_shape};
         result.visit([&](auto output) {
             args[0].visit([&](auto input) {
-                using value_type = batch_max(output_shape.elements(),
-                    std::numeric_limits<value_type>::lowest());
+                using value_type =
+                    batch_max(output_shape.elements(), std::numeric_limits<value_type>::lowest());
                 auto data_shape = args[0].get_shape();
                 shape_for_each(data_shape, [&](auto idx) {
                     auto data_index = data_shape.index(idx);
                     idx[axis]       = 0;
                     auto out_index  = data_shape.index(idx);
-                    if (batch_max[index] < input[data_index])
+                    if(batch_max[index] < input[data_index])
                     {
                         batch_max[index] = input[data_index];
                         output[index]    = static_cast<int64_t>(data_index);
@@ -693,14 +693,14 @@ struct cpu_argmin
         argument result{output_shape};
         result.visit([&](auto output) {
             args[0].visit([&](auto input) {
-                using value_type = batch_min(output_shape.elements(),
-                    std::numeric_limits<value_type>::max());
+                using value_type =
+                    batch_min(output_shape.elements(), std::numeric_limits<value_type>::max());
                 auto data_shape = args[0].get_shape();
                 shape_for_each(data_shape, [&](auto idx) {
                     auto data_index = data_shape.index(idx);
                     idx[axis]       = 0;
                     auto out_index  = data_shape.index(idx);
-                    if (batch_min[index] > input[data_index])
+                    if(batch_min[index] > input[data_index])
                     {
                         batch_min[index] = input[data_index];
                         output[index]    = static_cast<int64_t>(data_index);