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diff --git a/runtimes/neurun/backend/acl_cl/kernel/ConcatLayer.h b/runtimes/neurun/backend/acl_cl/kernel/ConcatLayer.h
new file mode 100644
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+++ b/runtimes/neurun/backend/acl_cl/kernel/ConcatLayer.h
@@ -0,0 +1,66 @@
+/*
+ * Copyright (c) 2018 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 __NEURUN_BACKEND_ACL_CL_KERNEL_CONCAT_LAYER_H__
+#define __NEURUN_BACKEND_ACL_CL_KERNEL_CONCAT_LAYER_H__
+
+#include <arm_compute/runtime/IFunction.h>
+#include <arm_compute/core/Types.h>
+
+#include "operand/Object.h"
+
+namespace neurun
+{
+namespace backend
+{
+namespace acl_cl
+{
+namespace kernel
+{
+
+//
+// neurun::backend::acl_cl::kernel::ConcatLayer
+// A naive implementation of ConcatLayer for ACL
+//
+
+class ConcatLayer : public ::arm_compute::IFunction
+{
+public:
+  ConcatLayer();
+
+public:
+  void configure(const std::vector<::neurun::backend::acl_cl::operand::Object *> &input_allocs,
+                 int32_t axis /* NNAPI tensor axis from NHWC order */,
+                 ::neurun::backend::acl_cl::operand::Object *output_alloc);
+
+  void run();
+
+private:
+  template <typename T> bool concatenate();
+
+private:
+  std::vector<::neurun::backend::acl_cl::operand::Object *> _input_allocs;
+  ::neurun::backend::acl_cl::operand::Object *_output_alloc;
+  int32_t _axis;
+  arm_compute::DataType _input_type;
+};
+
+} // namespace kernel
+} // namespace acl_cl
+} // namespace backend
+} // namespace neurun
+
+#endif // __NEURUN_BACKEND_ACL_CL_KERNEL_CONCAT_LAYER_H__