formatting

src/tf/tf.cpp

@@ -43,7 +43,7 @@ struct tf_parser
         copy(attrs.begin(), attrs.end(), std::back_inserter(axes));
         if(is_nhwc)
         {
-            for(size_t& axis: axes)
+            for(size_t& axis : axes)
             {
                 parse_axis(axis);
             }
@@ -306,7 +306,7 @@ struct tf_parser
         {
             l0 = prog.add_instruction(op::transpose{{1, 3, 0, 2}}, args[1]);
         }
-        else if (l0->name() != "@param")
+        else if(l0->name() != "@param")
             MIGRAPHX_THROW("cannot infer data format for weights");
 
         return prog.add_instruction(op, {args[0], l0});

test/tf/tf_test.cpp

@@ -101,9 +101,10 @@ TEST_CASE(conv_test)
     migraphx::program p;
 
     auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
-    std::vector<float> weight_data(3*3*3*32);
+    std::vector<float> weight_data(3 * 3 * 3 * 32);
     std::fill(weight_data.begin(), weight_data.end(), 1.0f);
-    auto l1 = p.add_literal(migraphx::shape{migraphx::shape::float_type, {3, 3, 3, 32}}, weight_data);
+    auto l1 =
+        p.add_literal(migraphx::shape{migraphx::shape::float_type, {3, 3, 3, 32}}, weight_data);
 
     migraphx::op::convolution op;
     op.padding_mode = migraphx::op::padding_mode_t::same;