// Copyright (c) 2019 PaddlePaddle 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.

#pragma once

#include <vector>
#include "lite/core/op_lite.h"

namespace paddle {
namespace lite {
namespace arm {
namespace math {

/**
 *  * \brief neon implementation to add bias and relu
 *  * @param tensor
 *  * @param bias
 *  * @param channel
 *  * @param channel_size
 *
 */
template <typename Dtype>
void fill_bias_relu(Dtype* tensor,
                    const Dtype* bias,
                    int channel,
                    int channel_size,
                    bool flag_bias,
                    bool flag_relu);
/**
 *  * \brief neon implementation to add bias and activation(relu, relu6,
 * leakyrelu)
 *  * @param tensor
 *  * @param bias
 *  * @param channel
 *  * @param channel_size
 *
 */
template <typename Dtype>
void fill_bias_act(Dtype* tensor,
                   const Dtype* bias,
                   int channel,
                   int channel_size,
                   bool flag_bias,
                   const operators::ActivationParam* act_param);
}  // namespace math
}  // namespace arm
}  // namespace lite
}  // namespace paddle
