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diff --git a/runtimes/pure_arm_compute/src/internal/layers/SimpleArgMinMax.h b/runtimes/pure_arm_compute/src/internal/layers/SimpleArgMinMax.h
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+/*
+ * 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 __SIMPLE_ARG_MIN_MAX_H__
+#define __SIMPLE_ARG_MIN_MAX_H__
+
+#include "internal/arm_compute.h"
+#include "arm_compute/core/TypesEx.h"
+
+class SimpleArgMinMax : public ::arm_compute::IFunction
+{
+public:
+ SimpleArgMinMax(void) : _input(nullptr), _output(nullptr), _axis(), _input_rank(0)
+ {
+ // DO NOTHING
+ }
+
+public:
+ /** Initialise input and output
+ *
+ * @param[in] input First tensor input.
+ * @param[out] output Output tensor.
+ * @param[in] axis Dimension along which to find Min or Max Index.
+ */
+ void configure(::arm_compute::ITensor *input, ::arm_compute::ITensor *output,
+ std::vector<uint32_t> axis, ::arm_compute::ArgOperation _op_type);
+
+ void run() override;
+
+private:
+ ::arm_compute::ITensor *_input;
+ ::arm_compute::ITensor *_output;
+ std::vector<uint32_t> _axis;
+ int _input_rank;
+ ::arm_compute::ArgOperation _op_type;
+};
+
+#endif /*__SIMPLE_ARG_MIN_MAX_H__ */