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36124f6205
* 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>
73 lines
1.4 KiB
C++
73 lines
1.4 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#ifndef MMDEPLOY_SRC_TOKEN_TOKEN_H_
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#define MMDEPLOY_SRC_TOKEN_TOKEN_H_
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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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#include "core/status_code.h"
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namespace mmdeploy {
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namespace token {
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template <char... cs>
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using String = std::integer_sequence<char, cs...>;
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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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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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} // namespace token
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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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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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Token(T value = {}) : value_(value) {} // NOLINT
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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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T& operator*() { return value_; }
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T* operator->() { return &value_; }
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private:
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T value_;
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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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constexpr inline Identifier<int> batch_size{"batch_size"};
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} // namespace mmdeploy
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#endif // MMDEPLOY_SRC_TOKEN_TOKEN_H_
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