mirror of
https://github.com/open-mmlab/mmdeploy.git
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36124f6205
* check in cmake * move backend_ops to csrc/backend_ops * check in preprocess, model, some codebase and their c-apis * check in CMakeLists.txt * check in parts of test_csrc * commit everything else * add readme * update core's BUILD_INTERFACE directory * skip codespell on third_party * update trt_net and ort_net's CMakeLists * ignore clion's build directory * check in pybind11 * add onnx.proto. Remove MMDeploy's dependency on ncnn's source code * export MMDeployTargets only when MMDEPLOY_BUILD_SDK is ON * remove useless message * target include directory is wrong * change target name from mmdeploy_ppl_net to mmdeploy_pplnn_net * skip install directory * update project's cmake * remove useless code * set CMAKE_BUILD_TYPE to Release by force if it isn't set by user * update custom ops CMakeLists * pass object target's source lists * fix lint end-of-file * fix lint: trailing whitespace * fix codespell hook * remove bicubic_interpolate to csrc/backend_ops/ * set MMDEPLOY_BUILD_SDK OFF * change custom ops build command * add spdlog installation command * update docs on how to checkout pybind11 * move bicubic_interpolate to backend_ops/tensorrt directory * remove useless code * correct cmake * fix typo * fix typo * fix install directory * correct sdk's readme * set cub dir when cuda version < 11.0 * change directory where clang-format will apply to * fix build command * add .clang-format * change clang-format style from google to file * reformat csrc/backend_ops * format sdk's code * turn off clang-format for some files * add -Xcompiler=-fno-gnu-unique * fix trt topk initialize * check in config for sdk demo * update cmake script and csrc's readme * correct config's path * add cuda include directory, otherwise compile failed in case of tensorrt8.2 * clang-format onnx2ncnn.cpp Co-authored-by: zhangli <lzhang329@gmail.com> Co-authored-by: grimoire <yaoqian@sensetime.com>
109 lines
3.3 KiB
C++
109 lines
3.3 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#ifndef MMDEPLOY_SRC_CORE_ARCHIVE_H_
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#define MMDEPLOY_SRC_CORE_ARCHIVE_H_
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#include "core/logger.h"
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#include "core/serialization.h"
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namespace mmdeploy {
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template <typename T, typename A>
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using member_load_t = decltype(std::declval<T&>().load(std::declval<A&>()));
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template <typename T, typename A>
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using member_save_t = decltype(std::declval<T&>().save(std::declval<A&>()));
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template <typename T, typename A>
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using member_serialize_t = decltype(std::declval<T&>().serialize(std::declval<A&>()));
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template <typename T, typename A>
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using has_member_load = detail::is_detected<member_load_t, T, A>;
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template <typename T, typename A>
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using has_member_save = detail::is_detected<member_save_t, T, A>;
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template <typename T, typename A>
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using has_member_serialize = detail::is_detected<member_serialize_t, T, A>;
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template <typename T, typename A>
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using adl_load_t = decltype(adl_serializer<T>::load(std::declval<A&>(), std::declval<T&>()));
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template <typename T, typename A>
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using has_adl_load = detail::is_detected<adl_load_t, T, A>;
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template <typename T, typename A>
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using adl_save_t = decltype(adl_serializer<T>::save(std::declval<A&>(), std::declval<T&>()));
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template <typename T, typename A>
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using has_adl_save = detail::is_detected<adl_save_t, T, A>;
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template <typename T, typename A>
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using adl_serialize_t =
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decltype(adl_serializer<T>::serialize(std::declval<A&>(), std::declval<T&>()));
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template <typename T, typename A>
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using has_adl_serialize = detail::is_detected<adl_serialize_t, T, A>;
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namespace detail {
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// ADL bridge for archives
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class ArchiveBase {};
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} // namespace detail
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template <typename Archive>
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class OutputArchive : public detail::ArchiveBase {
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public:
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template <typename... Args>
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void operator()(Args&&... args) {
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(dispatch(std::forward<Args>(args)), ...);
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}
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private:
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template <typename T>
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void dispatch(T&& v) noexcept {
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auto& archive = static_cast<Archive&>(*this);
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if constexpr (has_member_save<T, Archive>::value) {
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std::forward<T>(v).save(archive);
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} else if constexpr (has_member_serialize<T, Archive>::value) {
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std::forward<T>(v).serialize(archive);
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} else if constexpr (has_adl_save<T, Archive>::value) {
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adl_serializer<T>::save(archive, std::forward<T>(v));
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} else if constexpr (has_adl_serialize<T, Archive>::value) {
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adl_serializer<T>::serialize(archive, std::forward<T>(v));
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} else {
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archive.native(std::forward<T>(v));
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}
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}
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};
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template <typename Archive>
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class InputArchive : public detail::ArchiveBase {
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public:
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template <typename... Args>
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void operator()(Args&&... args) {
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(dispatch(std::forward<Args>(args)), ...);
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}
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private:
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template <typename T>
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void dispatch(T&& v) noexcept {
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auto& archive = static_cast<Archive&>(*this);
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if constexpr (has_member_load<T, Archive>::value) {
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std::forward<T>(v).load(archive);
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} else if constexpr (has_member_serialize<T, Archive>::value) {
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std::forward<T>(v).serialize(archive);
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} else if constexpr (has_adl_load<T, Archive>::value) {
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adl_serializer<T>::load(archive, std::forward<T>(v));
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} else if constexpr (has_adl_serialize<T, Archive>::value) {
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adl_serializer<T>::serialize(archive, std::forward<T>(v));
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} else {
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archive.native(std::forward<T>(v));
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}
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}
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};
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} // namespace mmdeploy
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#endif // MMDEPLOY_SRC_CORE_ARCHIVE_H_
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