formatting

src/include/migraphx/operators.hpp

@@ -717,10 +717,10 @@ struct pad
 
     bool symmetric() const
     {
-        std::size_t num_dims = pads.size()/2;
+        std::size_t num_dims = pads.size() / 2;
         for(std::size_t i = 0; i < num_dims; i++)
         {
-            if(pads.at(i) != pads.at(i+num_dims))
+            if(pads.at(i) != pads.at(i + num_dims))
                 return false;
         }
         return true;

src/pad_rewrite.cpp

@@ -14,7 +14,7 @@ void pad_rewrite::apply(program& p) const
     {
         if(ins->name() != "pad")
             continue;
-        for (auto output : ins->outputs())
+        for(auto output : ins->outputs())
         {
             auto op_name = output->name();
             if(op_name == "convolution")
@@ -27,25 +27,25 @@ void pad_rewrite::apply(program& p) const
     }
 }
 
-template<class T>
+template <class T>
 void pad_rewrite::update_op(T, instruction_ref ins, instruction_ref output, program& p) const
 {
     auto pad_op = any_cast<op::pad>(ins->get_operator());
     if(!pad_op.symmetric())
         return;
-    
+
     std::vector<int64_t> pads = pad_op.pads;
     assert(pads.size() == 8); // ensure input being padded has 4 dims (*2 for font and back padding)
-    std::array<size_t, 2> new_pads{static_cast<size_t>(pads[2]),static_cast<size_t>(pads[3])};
+    std::array<size_t, 2> new_pads{static_cast<size_t>(pads[2]), static_cast<size_t>(pads[3])};
 
-    T op = any_cast<T>(output->get_operator()); 
+    T op       = any_cast<T>(output->get_operator());
     op.padding = new_pads;
-    
+
     std::vector<instruction_ref> new_inputs{output->inputs()};
     new_inputs.front() = ins->inputs().front();
-    
+
     p.replace_instruction(output, op, new_inputs);
-} 
+}
 
 } // namespace MIGRAPHX_INLINE_NS
 } // namespace migraphx