/**
 * \file dnn/src/cuda/pooling/opr_impl.h
 * MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
 *
 * Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 */
#pragma once
#include "megdnn/oprs.h"

#include "src/cuda/cudnn_wrapper.h"
#include "src/cuda/utils.h"

namespace megdnn {
namespace cuda {

class PoolingForwardImpl final : public PoolingForward {
public:
    using PoolingForward::PoolingForward;
    void exec(_megdnn_tensor_in src, _megdnn_tensor_out dst,
              _megdnn_workspace workspace) override;
    size_t get_workspace_in_bytes(const TensorLayout& src,
                                  const TensorLayout& dst) override;

    const char* get_algorithm_set_name() const override;
    Algorithm* get_algorithm_from_desc(const AlgorithmDesc& desc) override;

    AlgorithmInfo get_algorithm_info_heuristic(
            const TensorLayout& src, const TensorLayout& dst,
            size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,
            const AlgoAttribute& negative_attr) {
        return get_algorithm_heuristic(src, dst, workspace_limit_in_bytes,
                                       positive_attr, negative_attr)
                ->info();
    }

    class AlgoBase;
    class AlgoCUDNN;
#if CUDNN_VERSION >= 6000
    class AlgoCUDNNMAXDETERMINISTIC;
#endif
    class AlgoCHWN4;
    class AlgoNCHW4;
    class AlgoNCHW32;
    class AlgoNHWC;
    class AlgoNCHW64;

    class AlgoPack;

    static const AlgoPack& algo_pack() { return sm_algo_pack; }

protected:
    std::vector<Algorithm*> get_all_algorithms(
            const TensorLayout& src, const TensorLayout& dst) override;
    Algorithm* get_algorithm_heuristic(
            const TensorLayout& src, const TensorLayout& dst,
            size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,
            const AlgoAttribute& negative_attr) override;

private:
    static AlgoPack sm_algo_pack;
};

class PoolingBackwardImpl final : public PoolingBackward {
public:
    using PoolingBackward::PoolingBackward;
    void exec(_megdnn_tensor_in src, _megdnn_tensor_in dst,
              _megdnn_tensor_in diff, _megdnn_tensor_out grad,
              _megdnn_workspace workspace) override;
    size_t get_workspace_in_bytes(const TensorLayout& src,
                                  const TensorLayout& dst,
                                  const TensorLayout& diff,
                                  const TensorLayout& grad) override;

    const char* get_algorithm_set_name() const override;
    Algorithm* get_algorithm_from_desc(const AlgorithmDesc& desc) override;

    AlgorithmInfo get_algorithm_info_heuristic(
            const TensorLayout& src, const TensorLayout& dst,
            const TensorLayout& diff, const TensorLayout& grad,
            size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,
            const AlgoAttribute& negative_attr) {
        return get_algorithm_heuristic(src, dst, diff, grad,
                                       workspace_limit_in_bytes, positive_attr,
                                       negative_attr)
                ->info();
    }

    class AlgoBase;
    class AlgoCUDNN;
    class AlgoPack;

    static const AlgoPack& algo_pack() { return sm_algo_pack; }

protected:
    std::vector<Algorithm*> get_all_algorithms(
            const TensorLayout& src, const TensorLayout& dst,
            const TensorLayout& diff, const TensorLayout& grad) override;
    Algorithm* get_algorithm_heuristic(
            const TensorLayout& src, const TensorLayout& dst,
            const TensorLayout& diff, const TensorLayout& grad,
            size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,
            const AlgoAttribute& negative_attr) override;

private:
    static AlgoPack sm_algo_pack;
};

}  // namespace cuda
}  // namespace megdnn

// vim: syntax=cpp.doxygen
