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diff --git a/runtime/onert/backend/cpu/kernel/UnpackLayer.h b/runtime/onert/backend/cpu/kernel/UnpackLayer.h
new file mode 100644
index 000000000..23d064db2
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+++ b/runtime/onert/backend/cpu/kernel/UnpackLayer.h
@@ -0,0 +1,66 @@
+/*
+ * 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_BACKEND_CPU_KERNEL_UNPACKLAYER_H__
+#define __ONERT_BACKEND_CPU_KERNEL_UNPACKLAYER_H__
+
+#include "../operand/Tensor.h"
+
+#include <exec/IFunction.h>
+
+namespace onert
+{
+namespace backend
+{
+namespace cpu
+{
+namespace kernel
+{
+
+class UnpackLayer : public ::onert::exec::IFunction
+{
+public:
+  UnpackLayer();
+
+public:
+  void unpackFloat32();
+
+  void unpackQuant8();
+
+  void configure(const operand::Tensor *input, uint32_t axis, int32_t num_output,
+                 std::vector<operand::Tensor *> &output);
+
+  void run();
+  void runSync()
+  {
+    // this abstract method is used just for profiling and called for
+    // backend::acl_common::AclFunction
+    run();
+  }
+
+private:
+  const operand::Tensor *_input;
+  std::vector<operand::Tensor *> _outputs;
+  uint32_t _axis;
+  int32_t _num_output;
+};
+
+} // namespace kernel
+} // namespace cpu
+} // namespace backend
+} // namespace onert
+
+#endif // __ONERT_BACKEND_CPU_KERNEL_UNPACKLAYER_H__