formatting

src/include/migraphx/op/allocate.hpp

@@ -65,7 +65,7 @@ struct allocate
         {
             migraphx::check_shapes{inputs, *this, false}.has(1).only_dims(1);
             const auto& out_dims = inputs.at(0);
-            std::size_t max_val = std::numeric_limits<std::size_t>::max();
+            std::size_t max_val  = std::numeric_limits<std::size_t>::max();
             std::vector<shape::dynamic_dimension> dyn_dims(out_dims.lens().at(0),
                                                            shape::dynamic_dimension{0, max_val});
             return {buf_type, dyn_dims};

src/onnx/parse_constant_of_shape.cpp

@@ -65,7 +65,7 @@ struct parse_constant_of_shape : op_parser<parse_constant_of_shape>
         {
             migraphx::shape s;
             // input is empty, output is a scalar
-            auto type = l_val.get_shape().type();
+            auto type                = l_val.get_shape().type();
             migraphx::argument input = args[0]->eval();
             if(not input.empty())
             {

src/simplify_reshapes.cpp

@@ -647,8 +647,8 @@ struct find_broadcast_transpose
     {
         auto transpose      = r.result;
         auto transpose_lens = transpose->get_shape().lens();
-        auto bcast_ins = r.instructions["bcast_ins"];
-        auto input     = bcast_ins->inputs().front();
+        auto bcast_ins      = r.instructions["bcast_ins"];
+        auto input          = bcast_ins->inputs().front();
         // scalar transformation does not need extra transpose
         if(not input->get_shape().scalar())
         {

src/targets/gpu/device/include/migraphx/gpu/device/launch.hpp

@@ -43,7 +43,7 @@ struct index
 
     __device__ index_int nglobal() const { return blockDim.x * gridDim.x; } // NOLINT
 
-    __device__ index_int nlocal() const { return blockDim.x; }              // NOLINT
+    __device__ index_int nlocal() const { return blockDim.x; } // NOLINT
 
     template <class F>
     __device__ void global_stride(index_int n, F f) const