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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>
55 lines
1.8 KiB
C++
55 lines
1.8 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#ifndef MMDEPLOY_SRC_CORE_CPP_DETECTED_H_
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#define MMDEPLOY_SRC_CORE_CPP_DETECTED_H_
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#include <type_traits>
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namespace mmdeploy::detail {
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struct nonesuch {
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nonesuch() = delete;
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~nonesuch() = delete;
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nonesuch(nonesuch const&) = delete;
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nonesuch(nonesuch const&&) = delete;
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void operator=(nonesuch const&) = delete;
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void operator=(nonesuch&&) = delete;
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};
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template <class Default, class AlwaysVoid, template <class...> class Op, class... Args>
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struct detector {
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using value_t = std::false_type;
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using type = Default;
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};
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template <class Default, template <class...> class Op, class... Args>
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struct detector<Default, std::void_t<Op<Args...>>, Op, Args...> {
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using value_t = std::true_type;
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using type = Op<Args...>;
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};
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template <template <class...> class Op, class... Args>
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using is_detected = typename detector<nonesuch, void, Op, Args...>::value_t;
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template <template <class...> class Op, class... Args>
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using detected_t = typename detector<nonesuch, void, Op, Args...>::type;
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template <template <class...> class Op, class... Args>
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constexpr inline bool is_detected_v = is_detected<Op, Args...>::value;
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template <class Default, template <class...> class Op, class... Args>
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using detected_or = detector<Default, void, Op, Args...>;
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template <class Default, template <class...> class Op, class... Args>
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using detected_or_t = typename detected_or<Default, Op, Args...>::type;
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template <class Expected, template <class...> class Op, class... Args>
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using is_detected_exact = std::is_same<Expected, detected_t<Op, Args...>>;
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template <class To, template <class...> class Op, class... Args>
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using is_detected_convertible = std::is_convertible<detected_t<Op, Args...>, To>;
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} // namespace mmdeploy::detail
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#endif // MMDEPLOY_SRC_CORE_CPP_DETECTED_H_
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