MegEngine/dnn/test/common/opr_algo_proxy.h

/**
 * \file dnn/test/common/opr_algo_proxy.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/basic_types.h"
#include "src/common/opr_trait.h"
#include "test/common/utils.h"

namespace megdnn {
namespace test {

template <typename Opr, size_t Arity>
struct AlgoProxy;

#define DEF_ALGO_PROXY(arity)                                                         \
    template <typename Opr>                                                           \
    struct AlgoProxy<Opr, arity> {                                                    \
        static std::vector<typename Opr::AlgorithmInfo> get_all_algorithms_info_safe( \
                Opr* opr, const TensorLayoutArray& layouts) {                         \
            megdnn_assert(layouts.size() == arity);                                   \
            return opr->get_all_algorithms_info_safe(LAYOUTS);                        \
        }                                                                             \
        static typename Opr::AlgorithmInfo get_algorithm_info_heuristic(              \
                Opr* opr, const TensorLayoutArray& layouts) {                         \
            megdnn_assert(layouts.size() == arity);                                   \
            return opr->get_algorithm_info_heuristic(LAYOUTS);                        \
        }                                                                             \
        static size_t get_workspace_in_bytes(                                         \
                Opr* opr, const TensorLayoutArray& layouts) {                         \
            megdnn_assert(layouts.size() == arity);                                   \
            return opr->get_workspace_in_bytes(LAYOUTS);                              \
        }                                                                             \
        static void exec(                                                             \
                Opr* opr, const TensorNDArray& tensors, Workspace workspace) {        \
            megdnn_assert(tensors.size() == arity);                                   \
            return opr->exec(TENSORS, workspace);                                     \
        }                                                                             \
    }

#define LAYOUTS layouts[0], layouts[1]
#define TENSORS tensors[0], tensors[1]
DEF_ALGO_PROXY(2);
#undef LAYOUTS
#undef TENSORS

#define LAYOUTS layouts[0], layouts[1], layouts[2]
#define TENSORS tensors[0], tensors[1], tensors[2]
DEF_ALGO_PROXY(3);
#undef LAYOUTS
#undef TENSORS

#define LAYOUTS layouts[0], layouts[1], layouts[2], layouts[3], layouts[4]
#define TENSORS tensors[0], tensors[1], tensors[2], tensors[3], tensors[4]
DEF_ALGO_PROXY(5);
#undef LAYOUTS
#undef TENSORS

#define LAYOUTS                                                             \
    layouts[0], layouts[1], layouts[2], layouts[3], layouts[4], layouts[5], \
            layouts[6], layouts[7]
#define TENSORS                                                             \
    tensors[0], tensors[1], tensors[2], tensors[3], tensors[4], tensors[5], \
            tensors[6], tensors[7]
DEF_ALGO_PROXY(8);
#undef LAYOUTS
#undef TENSORS

#undef DEF_ALGO_PROXY

#define DEF_ALGO_PROXY(Opr, arity)                                                    \
    template <>                                                                       \
    struct AlgoProxy<Opr, arity> {                                                    \
        static std::vector<typename Opr::AlgorithmInfo> get_all_algorithms_info_safe( \
                Opr* opr, const TensorLayoutArray& layouts) {                         \
            megdnn_assert(layouts.size() == arity);                                   \
            return opr->get_all_algorithms_info_safe(LAYOUTS);                        \
        }                                                                             \
        static typename Opr::AlgorithmInfo get_algorithm_info_heuristic(              \
                Opr* opr, const TensorLayoutArray& layouts) {                         \
            megdnn_assert(layouts.size() == arity);                                   \
            return opr->get_algorithm_info_heuristic(LAYOUTS);                        \
        }                                                                             \
        static size_t get_workspace_in_bytes(                                         \
                Opr* opr, const TensorLayoutArray& layouts,                           \
                const typename Opr::PreprocessedFilter* preprocessed_filter =         \
                        nullptr) {                                                    \
            megdnn_assert(layouts.size() == arity);                                   \
            return opr->get_workspace_in_bytes(LAYOUTS, preprocessed_filter);         \
        }                                                                             \
        static void exec(                                                             \
                Opr* opr, const TensorNDArray& tensors,                               \
                const typename Opr::PreprocessedFilter* preprocessed_filter,          \
                Workspace workspace) {                                                \
            megdnn_assert(tensors.size() == arity);                                   \
            return opr->exec(TENSORS, preprocessed_filter, workspace);                \
        }                                                                             \
        static void exec(                                                             \
                Opr* opr, const TensorNDArray& tensors, Workspace workspace) {        \
            megdnn_assert(tensors.size() == arity);                                   \
            return opr->exec(TENSORS, nullptr, workspace);                            \
        }                                                                             \
        static size_t get_preprocess_workspace_in_bytes(                              \
                Opr* opr, const TensorLayoutArray& layouts) {                         \
            megdnn_assert(layouts.size() == arity);                                   \
            return opr->get_preprocess_workspace_in_bytes(LAYOUTS);                   \
        }                                                                             \
        static SmallVector<TensorLayout> deduce_preprocessed_filter_layout(           \
                Opr* opr, const TensorLayoutArray& layouts) {                         \
            megdnn_assert(layouts.size() == arity);                                   \
            return opr->deduce_preprocessed_filter_layout(LAYOUTS);                   \
        }                                                                             \
        static void exec_preprocess(                                                  \
                Opr* opr, const TensorNDArray& tensors,                               \
                const TensorLayoutArray& layouts,                                     \
                Opr::PreprocessedFilter* preprocessed_filter,                         \
                _megdnn_workspace workspace) {                                        \
            megdnn_assert(layouts.size() == arity && tensors.size() == arity);        \
            return opr->exec_preprocess(                                              \
                    PREPROCESS_ARGS, preprocessed_filter, workspace);                 \
        }                                                                             \
    };

#define LAYOUTS         layouts[0], layouts[1], layouts[2]
#define TENSORS         tensors[0], tensors[1], tensors[2]
#define PREPROCESS_ARGS layouts[0], tensors[1], layouts[2]
DEF_ALGO_PROXY(ConvolutionForward, 3);
#undef PREPROCESS_ARGS
#undef LAYOUTS
#undef TENSORS

#define LAYOUTS         layouts[0], layouts[1], layouts[2], layouts[3], layouts[4]
#define TENSORS         tensors[0], tensors[1], tensors[2], tensors[3], tensors[4]
#define PREPROCESS_ARGS layouts[0], tensors[1], tensors[2], layouts[3], layouts[4]
DEF_ALGO_PROXY(ConvBias, 5);
#undef PREPROCESS_ARGS
#undef LAYOUTS
#undef TENSORS

#undef DEF_ALGO_PROXY

template <typename Opr, size_t arity = OprTrait<Opr>::arity>
struct OprAlgoProxyDefaultImpl : public AlgoProxy<Opr, arity> {};

template <typename Opr>
struct OprAlgoProxy : public OprAlgoProxyDefaultImpl<Opr> {};

}  // namespace test
}  // namespace megdnn

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