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diff --git a/runtime/onert/core/src/compiler/pass/ConstantOutputPass.h b/runtime/onert/core/src/compiler/pass/ConstantOutputPass.h
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+/*
+ * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef __ONERT_COMPILER_PASS_CONSTANT_OUTPUT_PASS_H__
+#define __ONERT_COMPILER_PASS_CONSTANT_OUTPUT_PASS_H__
+
+#include "OperandPass.h"
+
+namespace onert
+{
+namespace compiler
+{
+namespace pass
+{
+
+/**
+ * @brief Pass to specially handle constant model outputs
+ *
+ * As an output buffer is given right before an execution but constant initialization is done at
+ * prepare phase, the current runtime structure cannot handle when an output is constant.
+ * To resolve this problem, this pass inserts a Permute layer with a const input and make the model
+ * output tensor to be its output.
+ *
+ * e.g.)
+ *
+ * ((Const Output))
+ *
+ * becomes
+ *
+ * (Const) -> [Permute] -> ((Output))
+ *
+ * Note that this is a mandatory pass for Graph.
+ */
+class ConstantOutputPass : public OperandPass
+{
+public:
+  using OperandPass::OperandPass;
+
+public:
+  std::string id() final { return "ConstantOutputPass"; }
+
+public:
+  void callback(const ir::OperandIndex &i, ir::Operand &o) final;
+};
+
+} // namespace pass
+} // namespace compiler
+} // namespace onert
+
+#endif // __ONERT_COMPILER_PASS_CONSTANT_INSERTION_PASS_H__