mirror of
https://github.com/open-mmlab/mmdeploy.git
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* 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>
73 lines
1.6 KiB
C++
73 lines
1.6 KiB
C++
//// Copyright (c) OpenMMLab. All rights reserved.
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//
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//#ifndef MMDEPLOY_SRC_TOKEN_TOKEN_H_
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//#define MMDEPLOY_SRC_TOKEN_TOKEN_H_
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//
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//#include <cstdint>
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//#include <memory>
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//#include <string>
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//#include <type_traits>
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//#include <utility>
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//#include <vector>
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//
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//#include "core/status_code.h"
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//
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// namespace mmdeploy {
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//
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// namespace token {
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//
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// template <char... cs>
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// using String = std::integer_sequence<char, cs...>;
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//
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//// this is a GCC only extension
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// template <typename T, T... cs>
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// constexpr String<cs...> operator""_ts() {
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// return {};
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// }
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//
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// template <char... cs>
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// const char* c_str(String<cs...>) {
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// static constexpr const char str[sizeof...(cs) + 1] = {cs..., '\0'};
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// return str;
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// }
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//
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// } // namespace token
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//
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//// template <typename T>
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//// static void* signature() {
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//// static char id = 0;
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//// return &id;
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//// }
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////
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//// using signature_t = decltype(signature<void>());
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//
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// template <typename T, typename Key>
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// struct Token {
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// using signature_t = void*;
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// using value_type = T;
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//
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// Token(T value = {}) : value_(value) {} // NOLINT
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//
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// operator T() const { return value_; } // NOLINT
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// static const char* key() { return token::c_str(Key{}); }
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//
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// T& operator*() { return value_; }
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// T* operator->() { return &value_; }
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//
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// private:
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// T value_;
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//};
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//
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// template <typename T>
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// class Identifier {
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// public:
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// constexpr explicit Identifier(const char* key) : key_(key) {}
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// const char* key_;
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//};
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//
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// constexpr inline Identifier<int> batch_size{"batch_size"};
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//
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//} // namespace mmdeploy
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//
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//#endif // MMDEPLOY_SRC_TOKEN_TOKEN_H_
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