mmdeploy/csrc/archive/value_archive.h
lzhangzz 640aa03538
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

131 lines
2.8 KiB
C++

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