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