mirror of
https://github.com/open-mmlab/mmdeploy.git
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* 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>
127 lines
2.7 KiB
C++
127 lines
2.7 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#ifndef MMDEPLOY_SRC_ARCHIVE_VALUE_ARCHIVE_H_
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#define MMDEPLOY_SRC_ARCHIVE_VALUE_ARCHIVE_H_
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#include "core/archive.h"
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#include "core/value.h"
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namespace mmdeploy {
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template <typename T>
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Value to_value(T&& val);
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// save to Value
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class ValueOutputArchive : public OutputArchive<ValueOutputArchive> {
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public:
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explicit ValueOutputArchive(Value& data) : data_(data) {}
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template <typename T>
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void init(array_tag<T>) {
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data_ = ValueType::kArray;
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}
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template <typename T>
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void init(object_tag<T>) {
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data_ = ValueType::kObject;
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}
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template <typename T>
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void named_value(const std::string& name, T&& val) {
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data_[name] = to_value(std::forward<T>(val));
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}
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template <typename T>
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void item(T&& val) {
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data_.push_back(to_value(std::forward<T>(val)));
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}
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template <typename T, std::enable_if_t<std::is_constructible_v<Value, T>, int> = 0>
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void native(T&& val) {
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data_ = std::forward<T>(val);
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};
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private:
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Value& data_;
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};
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template <typename T>
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inline Value to_value(T&& val) {
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Value value;
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ValueOutputArchive archive(value);
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archive(std::forward<T>(val));
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return value;
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}
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template <typename T>
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void from_value(const Value& value, T&& x);
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template <typename T>
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T from_value(const Value& value);
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// load from Value
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class ValueInputArchive : public InputArchive<ValueInputArchive> {
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public:
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explicit ValueInputArchive(const Value& data) : data_(data) {}
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template <typename SizeType>
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void init(SizeType& size) {
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size = static_cast<SizeType>(data_.size());
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iter_ = data_.begin();
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}
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template <typename T>
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void named_value(std::string& name, T& val) {
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name = iter_.key();
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from_value(*iter_, std::forward<T>(val));
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++iter_;
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}
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template <typename T>
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void named_value(const std::string& name, T&& val) {
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from_value(data_[name], std::forward<T>(val));
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}
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template <typename T>
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void item(T&& val) {
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from_value(*iter_, std::forward<T>(val));
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++iter_;
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}
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template <typename T>
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void native(T&& val) {
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data_.get_to(val);
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}
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template <typename T>
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void value(T&& value) {}
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private:
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const Value& data_;
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Value::const_iterator iter_;
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};
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template <typename T>
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void from_value(const Value& value, T&& x) {
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ValueInputArchive archive(value);
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archive(std::forward<T>(x));
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}
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template <typename T>
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inline T from_value(const Value& value) {
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T x{};
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from_value(value, x);
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return x;
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}
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inline void load(ValueInputArchive& archive, Value& v) { archive.native(v); }
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template <class T, std::enable_if_t<std::is_same<std::decay_t<T>, Value>::value, bool> = true>
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inline void save(ValueOutputArchive& archive, T&& v) {
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archive.native(std::forward<T>(v));
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}
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} // namespace mmdeploy
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#endif // MMDEPLOY_SRC_ARCHIVE_VALUE_ARCHIVE_H_
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