// Tencent is pleased to support the open source community by making TNN available.
//
// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// 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 TNN_SOURCE_TNN_DEVICE_CUDA_ACC_CUDA_POOLING_LAYER_ACC_H_
#define TNN_SOURCE_TNN_DEVICE_CUDA_ACC_CUDA_POOLING_LAYER_ACC_H_

#include <cudnn.h>
#include "tnn/device/cuda/acc/cuda_layer_acc.h"

namespace TNN_NS {

class CudaPoolingLayerAcc : public CudaLayerAcc {
public:
    virtual ~CudaPoolingLayerAcc();
    virtual Status Init(Context *context, LayerParam *param, LayerResource *resource,
        const std::vector<Blob *> &inputs, const std::vector<Blob *> &outputs);
    virtual Status Reshape(const std::vector<Blob *> &inputs, const std::vector<Blob *> &outputs);
    virtual Status Forward(const std::vector<Blob *> &inputs, const std::vector<Blob *> &outputs);

private:
    cudnnTensorFormat_t m_tensor_format;
    cudnnDataType_t m_data_type;
    cudnnPoolingMode_t m_pooling_mode;
    cudnnPoolingDescriptor_t m_pooling_desc;
    cudnnTensorDescriptor_t m_input_desc;
    cudnnTensorDescriptor_t m_output_desc;
};

}  //  namespace TNN_NS

#endif  //  TNN_SOURCE_TNN_DEVICE_CUDA_ACC_CUDA_POOLING_LAYER_ACC_H_
