mirror of
https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
* 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>
215 lines
5.3 KiB
C++
215 lines
5.3 KiB
C++
// 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:
|
|
ERROR("unsupported json type: {}", json.type_name());
|
|
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_
|