mirror of
https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
* 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>
131 lines
2.8 KiB
C++
131 lines
2.8 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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namespace detail {
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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 detail
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} // namespace mmdeploy
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#endif // MMDEPLOY_SRC_ARCHIVE_VALUE_ARCHIVE_H_
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