Select.h

Go to the documentation of this file.

/*
 * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
 * Copyright 2018 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.
 */
 
#ifndef LUCI_INTERPRETER_KERNELS_SELECT_H
#define LUCI_INTERPRETER_KERNELS_SELECT_H
 
#include "core/Kernel.h"
 
namespace luci_interpreter
{
namespace kernels
{
 
class Select : public Kernel
{
public:
  Select(const Tensor *cond, const Tensor *t, const Tensor *e, Tensor *output);
 
  const Tensor *condition() const { return _inputs[0]; }
  const Tensor *t() const { return _inputs[1]; }
  const Tensor *e() const { return _inputs[2]; }
  Tensor *output() const { return _outputs[0]; }
 
  void configure() override;
  void execute() const override;
 
private:
  void evalFloat() const;
 
private:
  // True if input condition is scalar or input condition has rank one and
  // matches the first dimension of other inputs.
  bool _has_low_rank_input_condition = false;
};
 
} // namespace kernels
} // namespace luci_interpreter
 
#endif // LUCI_INTERPRETER_KERNELS_SELECT_H