clang format

test/verify/test_conv_bn_add.cpp

@@ -16,7 +16,8 @@ struct test_conv_bn_add : verify_program<test_conv_bn_add>
         auto bias     = mm->add_literal(migraphx::abs(migraphx::generate_literal(vars, 2 + seed)));
         auto mean     = mm->add_literal(migraphx::abs(migraphx::generate_literal(vars, 3 + seed)));
         auto variance = mm->add_literal(migraphx::abs(migraphx::generate_literal(vars, 4 + seed)));
-        return mm->add_instruction(migraphx::make_op("batch_norm_inference"), x, scale, bias, mean, variance);
+        return mm->add_instruction(
+            migraphx::make_op("batch_norm_inference"), x, scale, bias, mean, variance);
     }
 
     migraphx::program create_program() const
@@ -26,9 +27,11 @@ struct test_conv_bn_add : verify_program<test_conv_bn_add>
         std::size_t ochannels = 256;
         auto* mm              = p.get_main_module();
         auto x     = mm->add_parameter("x", {migraphx::shape::float_type, {1, ichannels, 56, 56}});
-        auto w     = mm->add_literal(migraphx::generate_literal({migraphx::shape::float_type, {ochannels, ichannels, 1, 1}}, 1));
+        auto w     = mm->add_literal(migraphx::generate_literal(
+            {migraphx::shape::float_type, {ochannels, ichannels, 1, 1}}, 1));
         auto y     = mm->add_parameter("y", {migraphx::shape::float_type, {1, ichannels, 56, 56}});
-        auto v     = mm->add_literal(migraphx::generate_literal({migraphx::shape::float_type, {ochannels, ichannels, 1, 1}}, 2));
+        auto v     = mm->add_literal(migraphx::generate_literal(
+            {migraphx::shape::float_type, {ochannels, ichannels, 1, 1}}, 2));
         auto relu1 = mm->add_instruction(migraphx::make_op("relu"), x);
         auto conv1 = mm->add_instruction(migraphx::make_op("convolution"), relu1, w);
         auto bn1   = add_bn(mm, conv1, ochannels, 1);