MegEngine/dnn/include/megdnn/handle.h

/**
 * \file dnn/include/megdnn/handle.h
 * MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
 *
 * Copyright (c) 2014-2020 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 "megcore.h"
#include "megdnn/config/config.h"
#include "megdnn/basic_types.h"

#include <functional>
#include <memory>

#include "megdnn/internal/visibility_prologue.h"
namespace megdnn {

class OperatorBase;

class Handle {
    public:
        enum class HandleType {
            NAIVE = 0,
            FALLBACK = 1,
            X86 = 2,
            CUDA = 6,
        };

    protected:
        Handle(megcoreComputingHandle_t computing_handle, HandleType type);

    public:
        /**
         * \brief Create a MegDNN handle from a MegCore Computing handle.
         *
         * \param[in] computing_handle MegCore computing handle. Please note
         *      that computing_handle would not be released when this Handle is
         *      destructed
         * \param[in] debug_level
         *   Applicable for CPU computing handle.
         *    0 means taking the fastest possible code path; it may contains
         *      platform-specific instructions such as SSE for x86_64 or NEON for
         *      armv7v7.
         *    1 means taking the fastest possible code path without
         *      platform-specific instructions in C++ code. Note that the compiled
         *      binary file still contains platform-specific codes.
         *    2 means taking the naive code path. Performance is severely
         *      hampered, but it is less error-prone since the internal
         *      implementation is rather straightforward.
         *
         *    **Debug level 1 and 2 should not be used in productions.**
         */
        static std::unique_ptr<Handle> make(
                megcoreComputingHandle_t computing_handle,
                int debug_level = 0);

#if MEGDNN_WITH_CUDA
        static std::unique_ptr<Handle> make_cuda_handle(
                megcoreComputingHandle_t computing_handle);
        template <typename opr>
        std::unique_ptr<opr> create_cuda_operator();
#endif

        virtual ~Handle();

        /*!
         * \brief Get the underlying megcore computing handle.
         */
        megcoreComputingHandle_t megcore_computing_handle() const {
            return m_computing_handle;
        }

        /*!
         * \brief set a callback function to be invoked when this handle is
         *      destructed, so associated resources can be released (e.g.
         *      computing handle)
         *
         * This function can be called at most once.
         */
        void set_destructor(const thin_function<void()> &d);

        /*!
         * \brief set a callback to be invoked when an operator is destructed
         * \param[in,out] cb the callback function; it would be set to the
         *      previous callback function
         */
        void set_opr_destruct_callback(thin_function<void(OperatorBase*)> &cb) {
            cb.swap(m_on_opr_destructed);
        }

        void on_opr_destructed(OperatorBase* opr);

        /**
         * \brief Create operator of Opr type.
         */
        template <typename Opr>
        std::unique_ptr<Opr> create_operator();

        /*
         * =============================================================
         * Users should call functions below to query memory requirement.
         * =============================================================
         */

        /**
         * \brief The internal data pointer of TensorND should be aligned to
         *        alignment_requirement() in bytes.
         */
        virtual size_t alignment_requirement() const;

        //! get alignment in bytes for rows of image 2D tensor format
        virtual size_t image2d_pitch_alignment() const;

        HandleType type() const {
            return m_handle_type;
        }

        /**
         * \brief Check is the layout satisfy cross device copy constraint.
         *        1. The handle of the src and the dst is the same kind
         *        2. The dst is continguous.
         */
        virtual bool check_cross_dev_copy_constraint(const TensorLayout &src);

    private:
        static constexpr uint32_t ALIVE_MAGIC = 0x8595e9d2u;
        volatile uint32_t m_alive_magic = ALIVE_MAGIC;
        megcoreComputingHandle_t m_computing_handle;
        const HandleType m_handle_type;
        thin_function<void()> m_destructor;
        thin_function<void(OperatorBase*)> m_on_opr_destructed;

        Handle() = delete;
        Handle(const Handle &rhs) = delete;
        Handle &operator=(const Handle &rhs) = delete;
};

} // namespace megdnn

#include "megdnn/internal/visibility_epilogue.h"

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