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diff --git a/runtime/onert/backend/cpu/kernel/LogisticLayer.cc b/runtime/onert/backend/cpu/kernel/LogisticLayer.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 "LogisticLayer.h"
+
+#include "OperationUtils.h"
+
+#include <cker/operation/Logistic.h>
+
+namespace onert
+{
+namespace backend
+{
+namespace cpu
+{
+namespace kernel
+{
+
+LogisticLayer::LogisticLayer() : _input(nullptr), _output(nullptr)
+{
+ // DO NOTHING
+}
+
+void LogisticLayer::logisticFloat32()
+{
+ nnfw::cker::Logistic(
+ convertTensorToCkerShape(_input), reinterpret_cast<const float *>(_input->buffer()),
+ convertTensorToCkerShape(_output), reinterpret_cast<float *>(_output->buffer()));
+}
+
+void LogisticLayer::logisticQuant8()
+{
+ // cker quant8 logistic is not implemented yet
+ throw std::runtime_error{"NYI"};
+}
+
+void LogisticLayer::configure(const operand::Tensor *input, operand::Tensor *output)
+{
+ _input = input;
+ _output = output;
+}
+
+void LogisticLayer::run()
+{
+ if (_input->data_type() == OperandType::FLOAT32)
+ {
+ logisticFloat32();
+ }
+ else if (_input->data_type() == OperandType::QUANT8_ASYMM)
+ {
+ logisticQuant8();
+ }
+}
+
+} // namespace kernel
+} // namespace cpu
+} // namespace backend
+} // namespace onert