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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.
 */
#ifndef __NEURUN_IR_OPERATION_RNN_H__
#define __NEURUN_IR_OPERATION_RNN_H__

#include "ir/InternalType.h"
#include "ir/Operation.h"

namespace neurun
{
namespace ir
{
namespace operation
{

class RNN : public Operation
{
public:
  enum Input
  {
    INPUT = 0,
    WEIGHTS = 1,
    RECURRENT_WEIGHTS = 2,
    BIAS = 3,
    HIDDEN_STATE_IN = 4
  };

  enum Output
  {
    OUTPUT = 0,
    HIDDEN_STATE_OUT = 1
  };

  struct Param
  {
    Activation activation;
  };

public:
  RNN(const OperandIndexSequence &inputs, const OperandIndexSequence &outputs, const Param &param);

public:
  void accept(OperationVisitor &v) const override;
  OpCode opcode() const final { return OpCode::RNN; }

public:
  const Param &param() const { return _param; }

private:
  Param _param;
};

} // namespace operation
} // namespace ir
} // namespace neurun

#endif // __NEURUN_IR_OPERATION_RNN_H__