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diff --git a/runtimes/neurun/src/kernel/cpu/SoftMaxLayer.h b/runtimes/neurun/src/kernel/cpu/SoftMaxLayer.h
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+++ b/runtimes/neurun/src/kernel/cpu/SoftMaxLayer.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 __NEURUN_KERNEL_CPU_SOFTMAXLAYER_H__
+#define __NEURUN_KERNEL_CPU_SOFTMAXLAYER_H__
+
+#include <NeuralNetworks.h>
+
+#include <arm_compute/runtime/IFunction.h>
+
+#include "kernel/cpu/OperationUtils.h"
+
+namespace neurun
+{
+namespace kernel
+{
+namespace cpu
+{
+
+class SoftMaxLayer : public ::arm_compute::IFunction
+{
+public:
+  SoftMaxLayer();
+
+public:
+  bool softmaxFloat32();
+
+  bool softmaxQuant8();
+
+  void configure(uint8_t *inputData, const Shape &inputShape, const float beta, uint8_t *outputData,
+                 const Shape &outputShape);
+
+  void run();
+
+private:
+  uint8_t *_inputData;
+  uint8_t *_outputData;
+
+  float _beta;
+
+  Shape _inputShape;
+  Shape _outputShape;
+
+  OperandType _inputType;
+};
+
+} // namespace cpu
+} // namespace kernel
+} // namespace neurun
+
+#endif // __NEURUN_KERNEL_CPU_SOFTMAXLAYER_H__