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diff --git a/compiler/luci-interpreter/src/kernels/LogicalOr.cpp b/compiler/luci-interpreter/src/kernels/LogicalOr.cpp
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+/*
+ * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright 2019 The TensorFlow Authors. 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 "kernels/LogicalOr.h"
+
+#include "kernels/Utils.h"
+#include "kernels/BinaryOpCommon.h"
+
+namespace luci_interpreter
+{
+namespace kernels
+{
+
+LogicalOr::LogicalOr(const Tensor *input1, const Tensor *input2, Tensor *output)
+ : Kernel({input1, input2}, {output})
+{
+}
+
+void LogicalOr::configure()
+{
+ LUCI_INTERPRETER_CHECK(input1()->element_type() == input2()->element_type());
+ LUCI_INTERPRETER_CHECK(input1()->element_type() == DataType::BOOL);
+ output()->resize(calculateShapeForBroadcast(input1()->shape(), input2()->shape()));
+}
+
+void LogicalOr::execute() const
+{
+ BinaryOpBroadcastSlow(getTensorShape(input1()), getTensorData<bool>(input1()),
+ getTensorShape(input2()), getTensorData<bool>(input2()),
+ getTensorShape(output()), getTensorData<bool>(output()),
+ [](bool x, bool y) { return x || y; });
+}
+
+} // namespace kernels
+} // namespace luci_interpreter