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diff --git a/runtimes/neurun/backend/cpu/kernel/AddLayer.cc b/runtimes/neurun/backend/cpu/kernel/AddLayer.cc
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+++ b/runtimes/neurun/backend/cpu/kernel/AddLayer.cc
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+/*
+ * Copyright (c) 2019 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.
+ */
+
+#include "AddLayer.h"
+
+#include <cker/operation/Add.h>
+
+#include "OperationUtils.h"
+
+namespace neurun
+{
+namespace backend
+{
+namespace cpu
+{
+namespace kernel
+{
+
+void AddLayer::addFloat32()
+{
+  float output_activation_min, output_activation_max;
+  CalculateActivationRangeFloat(_activation, &output_activation_min, &output_activation_max);
+  nnfw::cker::AddParam op_params;
+  op_params.float_activation_max = output_activation_max;
+  op_params.float_activation_min = output_activation_min;
+
+  nnfw::cker::Add(op_params, convertShapeToCkerShape(_lhsShape), _lhsData.f,
+                  convertShapeToCkerShape(_rhsShape), _rhsData.f,
+                  convertShapeToCkerShape(_outputShape), _outputData.f);
+}
+
+void AddLayer::addQuant8()
+{
+  int32_t output_activation_min, output_activation_max;
+  CalculateActivationRangeUint8(_activation, _outputShape, &output_activation_min,
+                                &output_activation_max);
+  // nnfw::cker::AddParam op_params;
+  // op_params.quantized_activation_max = output_activation_max;
+  // op_params.quantized_activation_min = output_activation_min;
+
+  // cker quant8 add is not implemented yet
+  throw std::runtime_error{"NYI"};
+}
+
+void AddLayer::configure(uint8_t *lhsData, const Shape &lhsShape, uint8_t *rhsData,
+                         const Shape &rhsShape, const model::Activation activation,
+                         uint8_t *outputData, const Shape &outputShape)
+{
+  _lhsData.u8 = lhsData;
+  _lhsShape = lhsShape;
+  _rhsData.u8 = rhsData;
+  _rhsShape = rhsShape;
+  _inputType = lhsShape.type;
+  _activation = activation;
+  _outputData.u8 = outputData;
+  _outputShape = outputShape;
+}
+
+void AddLayer::run()
+{
+  if (_inputType == OperandType::FLOAT32)
+  {
+    addFloat32();
+  }
+  else if (_inputType == OperandType::QUANT8_ASYMM)
+  {
+    addQuant8();
+  }
+}
+
+} // namespace kernel
+} // namespace cpu
+} // namespace backend
+} // namespace neurun