mmdeploy/csrc/archive/json_archive.h

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Merge sdk (#251) * 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>
2021-12-07 10:57:55 +08:00
// Copyright (c) OpenMMLab. All rights reserved.
#ifndef MMDEPLOY_SRC_ARCHIVE_JSON_ARCHIVE_H_
#define MMDEPLOY_SRC_ARCHIVE_JSON_ARCHIVE_H_
#include "core/archive.h"
#include "core/value.h"
#include "json.hpp"
namespace mmdeploy {
namespace detail {
template <typename T>
nlohmann::json to_json_impl(T&& val);
inline nlohmann::json value_to_json(const Value& value) {
switch (value.type()) {
case ValueType::kNull:
return {};
case ValueType::kBool:
return value.get<bool>();
case ValueType::kInt:
return value.get<int64_t>();
case ValueType::kUInt:
return value.get<uint64_t>();
case ValueType::kFloat:
return value.get<double>();
case ValueType::kString:
return value.get<std::string>();
case ValueType::kArray: {
nlohmann::json json = nlohmann::json::value_t::array;
for (const auto& x : value) {
json.push_back(value_to_json(x));
}
return json;
}
case ValueType::kObject: {
nlohmann::json json = nlohmann::json::value_t::object;
for (auto it = value.begin(); it != value.end(); ++it) {
auto key = it.key();
json[key] = value_to_json(*it);
}
return json;
}
case ValueType::kAny:
return "<any>";
default:
return "<unknown>";
}
}
} // namespace detail
template <typename T, std::enable_if_t<!is_value_v<uncvref_t<T>>, int> = 0>
nlohmann::json to_json(T&& val) {
return detail::to_json_impl(std::forward<T>(val));
}
inline nlohmann::json to_json(const Value& value) { return detail::value_to_json(value); }
// save to JSON
class JsonOutputArchive : public OutputArchive<JsonOutputArchive> {
public:
explicit JsonOutputArchive(nlohmann::json& data) : data_(data) {}
void init(...) {}
template <typename T>
void named_value(const std::string& name, T&& val) {
data_[name] = to_json(std::forward<T>(val));
}
template <typename T>
void item(T&& val) {
data_.push_back(to_json(std::forward<T>(val)));
}
template <typename T, typename V = uncvref_t<T>,
std::enable_if_t<
std::disjunction_v<std::is_arithmetic<V>, std::is_same<V, const char*>,
std::is_same<V, std::string>, std::is_same<V, nlohmann::json>>,
int> = 0>
void native(T&& val) {
data_ = std::forward<T>(val);
}
private:
nlohmann::json& data_;
};
namespace detail {
template <typename T>
inline nlohmann::json to_json_impl(T&& val) {
nlohmann::json json;
JsonOutputArchive archive(json);
archive(std::forward<T>(val));
return json;
}
} // namespace detail
namespace detail {
inline Value json_to_value(const nlohmann::json& json) {
using value_t = nlohmann::json::value_t;
switch (json.type()) {
case value_t::null:
return {};
case value_t::boolean:
return json.get<bool>();
case value_t::number_integer:
return json.get<int64_t>();
case value_t::number_unsigned:
return json.get<uint64_t>();
case value_t::number_float:
return json.get<double>();
case value_t::string:
return json.get<std::string>();
case value_t::array: {
Value value = ValueType::kArray;
for (const auto& x : json) {
value.push_back(json_to_value(x));
}
return value;
}
case value_t::object: {
Value value = ValueType::kObject;
for (const auto& proxy : json.items()) {
value[proxy.key()] = json_to_value(proxy.value());
}
return value;
}
default:
Support Windows (#106) * minor changes * support windows * fix GCC build * fix lint * reformat * fix Windows build * fix GCC build * search backend ops for onnxruntime * fix lint * fix lint * code clean-up * code clean-up * fix clang build * fix trt support * fix cmake for ncnn * fix cmake for openvino * fix SDK Python API * handle ops for other backends (ncnn, trt) * handle SDK Python API library location * robustify linkage * fix cuda * minor fix for openvino & ncnn * use CMAKE_CUDA_ARCHITECTURES if set * fix cuda preprocessor * fix misc * fix pplnn & pplcv, drop support for pplcv<0.6.0 * robustify cmake * update build.md (#2) * build dynamic modules as module library & fix demo (partially) * fix candidate path for mmdeploy_python * move "enable CUDA" to cmake config for demo * refine demo cmake * add comment * fix ubuntu build * revert docs/en/build.md * fix C API * fix lint * Windows build doc (#3) * check in docs related to mmdeploy build on windows * update build guide on windows platform * update build guide on windows platform * make path of thirdparty libraries consistent * make path consistency * correct build command for custom ops * correct build command for sdk * update sdk build instructions * update doc * correct build command * fix lint * correct build command and fix lint Co-authored-by: lvhan <lvhan@pjlab.org> * trailing whitespace (#4) * minor fix * fix sr sdk model * fix type deduction * fix cudaFree after driver shutting down * update ppl.cv installation warning (#5) * fix device allocator threshold & fix lint * update doc (#6) * update ppl.cv installation warning * missing 'git clone' Co-authored-by: chenxin <chenxin2@sensetime.com> Co-authored-by: zhangli <zhangli@sensetime.com> Co-authored-by: lvhan028 <lvhan_028@163.com> Co-authored-by: lvhan <lvhan@pjlab.org>
2022-02-24 20:08:44 +08:00
MMDEPLOY_ERROR("unsupported json type: {}", json.type_name());
Merge sdk (#251) * 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>
2021-12-07 10:57:55 +08:00
return {};
}
}
template <typename T>
void from_json_impl(const nlohmann::json& json, T&& val);
} // namespace detail
template <typename T, std::enable_if_t<!std::is_same_v<Value, uncvref_t<T>>, int> = 0>
void from_json(const nlohmann::json& json, T&& val) {
detail::from_json_impl(json, std::forward<T>(val));
}
inline void from_json(const nlohmann::json& json, Value& val) { val = detail::json_to_value(json); }
template <typename T>
T from_json(const nlohmann::json& json);
// load from JSON
class JsonInputArchive : public InputArchive<JsonInputArchive> {
public:
explicit JsonInputArchive(const nlohmann::json& data) : data_(data) {}
template <typename SizeType>
void init(SizeType& size) {
size = static_cast<SizeType>(data_.size());
iter_ = data_.begin();
}
template <typename T>
void named_value(std::string& name, T& val) {
name = iter_.key();
from_json(*iter_++, std::forward<T>(val));
}
template <typename T>
void named_value(const std::string& name, T&& val) {
from_json(data_[name], std::forward<T>(val));
}
template <typename T>
void item(T&& val) {
from_json(*iter_++, std::forward<T>(val));
}
template <typename T>
void native(T&& val) {
data_.get_to(val);
}
private:
const nlohmann::json& data_;
nlohmann::json::const_iterator iter_;
};
namespace detail {
template <typename T>
inline void from_json_impl(const nlohmann::json& json, T&& val) {
JsonInputArchive archive(json);
archive(std::forward<T>(val));
}
} // namespace detail
template <typename T>
inline T from_json(const nlohmann::json& json) {
T val{};
from_json(json, val);
return val;
}
void from_json(const nlohmann::json& json, Value& val);
} // namespace mmdeploy
#endif // MMDEPLOY_SRC_ARCHIVE_JSON_ARCHIVE_H_